\r\n\tThere will be a chapter on secondary causes of sexual dysfunction disorders related to diabetes, cardiovascular disease, and obesity. A chapter on remedial measures to enhance sexual activity and maintain human relationships will be discussed. As there is a growing number of cancer survivors a chapter on cancer-related sexual dysfunction will be welcomed for including it.
",isbn:null,printIsbn:null,pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"b988fda30a4e2364ee9d47e417bd0ba9",bookSignature:"Dr. Dhastagir Sultan Sheriff",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11889.jpg",keywords:"Sex, Sexual Response Cycle, Erection, Premature Ejaculation, Libido, Orgasm, Painful Intercourse, Psychological, Female, Lack of Desire, Erectile Disorders, Pain Disorders",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 8th 2022",dateEndSecondStepPublish:"May 6th 2022",dateEndThirdStepPublish:"July 5th 2022",dateEndFourthStepPublish:"September 23rd 2022",dateEndFifthStepPublish:"November 22nd 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Dhastagir Sultan Sheriff is a life member of the European Society for Human Reproduction and Early Human Development, Association of Physiologists and Pharmacologists of India, member of the National Academy of Medical Sciences, New Delhi, and resource person for UNESCO for Medical and Bioethics. Dr. Sheriff has authored five books including a textbook on medical biochemistry with additional interest in human sexology. He has done extensive research in andrology, sex education, and counseling.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"167875",title:"Dr.",name:"Dhastagir Sultan",middleName:null,surname:"Sheriff",slug:"dhastagir-sultan-sheriff",fullName:"Dhastagir Sultan Sheriff",profilePictureURL:"https://mts.intechopen.com/storage/users/167875/images/system/167875.jpg",biography:"Dhastagir Sultan Sheriff is a life member of the European Society for Human Reproduction and Early Human Development, Association of Physiologists and Pharmacologists of India, member of the National Academy of Medical Sciences, New Delhi, and resource person for UNESCO for Medical and Bioethics. Dr. Sheriff has authored five books including a textbook on medical biochemistry with additional interest in human sexology. He had editorials written in the British Journal of Sexology, Journal of Royal Society of Medicine, Postgraduate Medicine, and Scientist. 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1. Introduction
Hydrothermal alterations of host rocks (granites and metasediments) connected with origin Sn-W and U deposits are often accompanied by origin of chlorite, clay minerals and white mica (muscovite, hydromuscovite, phengite) [1, 2, 3, 4, 5, 6, 7]. Clay minerals originated usually in last stages of these alterations, when temperature of hydrothermal fluids is in range of 50–200 ºC. In area of Central European Variscan belt (Bohemian Massif) occur a few Sn-W- and U-ore deposits in which are evolved altered rocks with highly interested chlorite, clay minerals and white mica assemblages (Fig. 1). This paper is concentrated on description and discussion of chloritization and argillization, originated during alteration of host rocks series at selected Sn-W and U ore deposits in the area of the Bohemian Massif (Czech Republic).
2. Geological background
The Sn-W greisen deposits are connected with topaz-granite stocks in the Saxothuringian Zone of the Bohemian Massif (Krásno–Horní Slavkov ore district, Cínovec). The Krásno–Horní Slavkov ore district comprises topaz-bearing granite stocks evolved along the southeastern margin of the Krudum granite body in the Slavkovský les Mts. area (Fig. 2). The inner structure of these stocks (Hub, Schnöd and Vysoký Kámen) is well stratified, comprising partly greisenized topaz-albite granites, leucocratic topaz-albite granites and layers of alkali-feldspar syenites. In upper parts of the Hub and Schnöd stocks are evolved topaz-mica greisens, accompanied by partly greisenized topaz-albite granites and distinctly argillitized topaz-albite granites. The highly interested clay mineral assemblage occurs in Sn-W ore spots enclosed in greisens [8] and in argillitized topaz-bearing granites. The Cínovec granite stock is relatively small, elliptical, vertical stratified body occurred in the central part of the Altenberg-Teplice caldera. The borehole CS-1, located in the center of granite stock, transacted lepidolite-bearing granite at the top of the section (about 90 m thick), an intermediate zone of zinnwaldite-bearing granite (thickness about 640 m) and a lower zone of protolithionite-bearing granite to the depth 1596 m. In uppermost part of granite stocks occurs irregular topaz-mica greisen bodies together with flat Sn-W ore veins enriched also in zinnwaldite and quartz. Clay minerals occur usually as filling of small cavities in quartz and/or as filling of small fissures accompanied flat ore veins [9].
Figure 1.
Geological sketch map of the Bohemian Massif.
Uranium ore deposits with a huge evolved argillization of country rocks occur in some shear zones of the Moldanubian Zone (Rožná–Olší ore district, Okrouhlá Radouň, Zadní Chodov, Vítkov II). The Moldanubian Zone represents a central, deeply eroded part of the Bohemian Massif. Therefore, in present-day section, it is composed dominantly of plutonic and high-grade metamorphic rocks (two-mica and biotite granites of the Moldanubian batholith, Třebíč pluton and Bor pluton).
Figure 2.
Geological sketch map of the Krásno–Horní Slavkov ore district.
The Rožná–Olší uranium district lies in the NE part of the Moldanubian Zone of the Bohemian Massif (Fig. 3). The high-grade metamorphic rocks of this zone were overthrust on its NE boundary by the Svratka Crystalline unit and on the easterly located Cadomian Brunovistulian foreland. The high-grade paragneisses of the Moldanubian Zone are subdivided into Monotonous, Varied and Gföhl Unit. The Rožná–Olší ore district is located in the uppermost Gföhl unit. The host rocks of the Rožná U-deposit consist mainly of biotite paragneisses and amphibolites with small bodies of calc-silicate rock, marble, serpentinite and pyroxenite. The subsequent exhumation of these rocks series to middle crustal levels was associated with kilometer-scale isoclinal folding. Longitudinal N–S to NNW–SSE striking ductile shear zones (Rožná and Olší shear zones) dip WSW at an angle of 70–90º and strike parallel to the tectonic contact between the Gföhl unit and the Svratka Crystalline Unit. The main longitudinal faults of the Rožná shear zone are designated as Rožná 1 (R1) and Rožná 4 (R4) and host the main part of the disseminated uranium mineralization. The less strongly mineralized Rožná 2 (R2) and Rožná 3 (R3) fault zones host numerous separate pinnate carbonate veins. Longitudinal fault structures are crosscut and segment by steep, ductile to brittle NW–SE and SW–NE-striking fault zones that host post-uranium carbonate-quartz-sulfide mineralization. Uranium mineralization forms (i) disseminated coffinite>uraninite>U-Zr-silicate ore in chloritized, pyritized, carbonatized, and graphite-enriched cataclastites of longitudinal faults, (ii) uraninite>coffinite ore in carbonate veins, (iii) disseminated coffinite>uraninite in desilicified, albitized, and hematitized gneiss (episyenite) adjacent to longitudinal faults and (iiii) mostly coffinite ore bound to the intersection of the longitudinal structures. Total mine production of the Rožná-Olší ore district was 23,000 tons U with average grade of 0.24 % U. The Rožná uranium deposits is the last recently mined uranium deposit in Central Europe with annual production about 300 t U [10].
Figure 3.
Cross section of the Rožná uranium deposit.
Okrouhlá Radouň uranium deposit is formed by NNW–SSE-striking shear zone occurred on the northeastern margin of the Klenov two-mica granite body in the southern part of the Bohemian Massif. Host-rock series of this ore deposit are formed by high-grade metasediments of the Moldanubian Varied group and peraluminous two-mica granites of the Moldanubian batholith. The shear zone is filled with cataclasites formed by host rocks, altered to clay minerals-rich and chlorite-rich assemblages with uranium mineralization enriched in coffinite, partly also in pitchblende [11, 12, 13]. Uranium ore deposits in the Bor pluton (Zadní Chodov, Vítkov II) are located in N-S to NW-SE shear zones evolved in biotite monzogranites of I/S-type [14, 15]. The hydrothermal alterations associated with uranium mineralization are represented particularly by the removal of quartz, chloritization, albitization, hematitization and origin of younger generations of chlorite and white mica (muscovite, phengite). Shear zones evolved on the west margin of the Bor pluton (Zadní Chodov), on the boundary between granites of the Bor pluton and metasediments of the Moldanubian Zone are distinctly enriched in more generation of chlorite accompanied by various clay minerals (smectite) [16].
3. Analytical methods
Clay minerals and chlorites were analyzed in polished thin sections using a CAMECA SX 100 electron microprobe working in WDX mode employing the PAP matrix correction program [17] at the Institute of Geology of the Academy of Sciences of the Czech Republic. The operating conditions were 15 kV acceleration voltage, 15 nA beam current, and 1–2 µm beam diameter. Counting times on the peaks were 10–30 seconds depending on the element. Background counts were measured in each case in half the time for peak measurement on both sides of the peak. Calibrations were done using standard sets from SPI. Standards included fluorite (F), jadeite (Na, Al), diopside (Ca), leucite (K), magnetite (Fe), quartz (Si), periclase (Mg), rhodonite (Mn), rutile (Ti), spinel (Cr) and tugtupite (Cl). Detection limits for these elements are as follows: F 0.09–0.15 wt%, other elements 0.03–0.20 wt%. Formulae of chlorite were calculated in relation to 36 (O, OH) atoms per formula unit (apfu), formulae of white mica and illite were calculated in relation to 24 (O, OH) apfu and formulae of clay minerals (kaolinite, smectite) were calculated on the basis of 18 (O, OH). For these calculations was used MINPET software. For calculation of chlorite thermometry was used a six-component chlorite solid solution model according Walshe (1986) [18].
Major elements in whole rock samples were determined by X-ray fluorescence spectrometry using the PANanalytical Axios Advanced spectrometer at Activation Laboratories Ltd., Ancaster, Canada. Trace elements were determined by ICP MS (a Perkin Elmer Sciex ELAN 6100 ICP mass spectrometer) at Activation Laboratories Ltd., Ancaster, Canada (Table 1). Whole rock samples enriched in clay minerals were used for sampling of clay mineral fractions. The size fraction of clay minerals in size below 4 µm was prepared by conventional sedimentation method. X-ray diffraction (XRD) analysis of clay minerals in clay-size fractions were obtained on untreated, ethylene-glycol solvated and heated samples using a Philips PW 7310 diffractometer with CuKα radiation (40 kV, 40 mA) and Ni filter standard set.
4. Results
4.1. Petrology
The investigation of clay minerals assemblage occurred in Sn-W ore deposits of the Saxothuringian Zone (Bohemian Massif, Czech Republic) was concentrated on assemblages occurring in Sn-W ore pockets and highly argillized topaz-albite granites of the Hub stock (Krásno–Horní Slavkov ore district). The ore pockets are globular or even irregular bodies tens of centimetres in size, with a very high proportion of cassiterite, which are enclosed in topaz-mica greisens. Quartz, Li-micas, fine flakes of white mica (muscovite) and clay minerals (dickite, kaolinite, very rare cookeite) are the accompanying minerals of these ore pockets. Clay minerals matter filling small cavities between a bigger cassiterite grains has a grey appearance being a mixture of dickite, Li-, Al-chlorite (cookeite) with dickite and white mica. The identification of cookeite and illite was performed by X-ray diffraction method.
In highly argillized topaz-albite granites a complex clay minerals assemblage was identified using X-ray diffraction method and microprobe analysis. This very fine-grained assemblage enclosed between bigger grains of quartz, topaz and tables of Li-mica is formed of smectite, illite, kaolinite, dickite, chlorite and corrensite. Corrensite was identified on the basis of 29.2 Å XRD reflection on natural, oriented sample and 31.1 Å reflection after ethylene glycol treatment. These XRD reflections are significant for identification of corrensite [31]. In greisenized topaz-albite granites occurs sometimes also white mica (muscovite, hydromuscovite).
Disseminated uranium mineralization occurred in shear zones of the Rožná, Okrouhlá Radouň, Zadní Chodov and Vítkov uranium deposits comprises usually three stages (pre-ore, ore and post-ore stages). The first two stages are of the late-Variscan age; the last stage is very probably of the post-Variscan age. The pre-ore stage is characterized by a huge occurrence of inherited chlorite originated by chloritization of biotite (chlorite I). In syn-ore stage originated authigenic chlorite (chlorite II), together with authigenic Mg-Fe chlorite (chlorite III) occurred often as filling of small cavities in intensively altered paragneisses (Rožná, Okrouhlá Radouň, Zadní Chodov) and/or in altered granites (Okrouhlá Radouň, Vítkov II). During pre-ore stage originated also as relatively rare mineral white mica (muscovite, hydromuscovite, phengite). For syn-ore stage is origin of various clay minerals (Fe-illite, smectite, kaolinite) significant. Compared with voluminous pre-ore and syn-ore stage alteration, post-ore stage alteration is usually restricted to origin of small authigenic chlorite-carbonate veins and/or veilets and disseminations of chlorite in carbonatized host rocks (chlorite IV). The origin of the youngest chlorite is sometimes accompanied by origin of clay minerals (illite, kaolinite).
wt%
Ko-55
R-1
R-2
Re-503
Re-510
OR-99
ZCH-6
SiO2
75.52
51.85
45.76
57.42
53.81
49.42
44.30
TiO2
0.03
1.30
0.98
0.62
0.08
0.30
0.33
Al2O3
13.23
18.36
15.37
18.76
18.35
15.47
9.45
Fe2O3 tot.
1.75
9.24
6.30
4.73
1.23
6.25
12.44
MnO
0.11
0.14
0.15
0.14
0.14
0.07
0.24
MgO
0.20
2.85
2.25
1.50
0.55
2.20
14.97
CaO
1.24
3.69
11.10
8.27
8.39
6.64
1.54
Na2O
0.20
5.95
6.25
7.99
6.24
0.46
0.23
K2O
1.65
1.89
0.97
0.55
1.10
1.38
0.01
P2O5
0.19
0.30
0.21
0.38
0.20
0.29
0.49
L.O.I.
5.40
4.41
9.52
0.33
9.32
17.55
15.81
Total
99.52
99.98
98.86
100.69
99.41
100.03
99.81
ppm
U
16
877
833
232
353
436
4553
Th
3
4
6
20
7
8
21
Y
4
33
39
23
11
28
69
Zr
25
243
261
186
51
169
118
Ba
8
456
497
366
388
3
35
Rb
886
88
40
15
55
81
1
Sr
17
230
466
176
296
197
46
La
1.55
12.00
21.00
42.90
11.00
19.10
12.80
Ce
2.13
27.70
44.80
82.70
19.51
40.10
35.10
Pr
0.25
3.85
5.50
9.44
1.94
4.40
5.69
Nd
1.29
17.20
22.70
35.00
7.13
17.10
30.60
Sm
0.40
5.61
5.46
6.53
1.83
4.40
14.40
Eu
0.007
0.65
1.20
1.14
0.066
2.40
7.14
Gd
0.35
6.14
6.25
6.24
1.89
4.40
13.50
Tb
0.09
1.34
1.22
0.83
0.34
0.82
2.72
Dy
0.61
9.13
7.26
4.85
2.45
5.40
15.30
Ho
0.09
1.86
1.47
0.86
0.48
1.10
2.74
Er
0.27
6.10
4.06
2.54
1.45
2.40
7.45
Tm
0.06
0.99
0.67
0.38
0.20
0.44
1.11
Yb
0.36
6.68
4.22
2.25
1.49
3.20
6.90
Lu
0.04
1.03
0.60
0.31
0.22
0.46
0.86
ΣREE
7.50
100.29
126.41
195.97
50.00
105.72
156.31
LaN/YbN
2.91
1.21
..3.36
12.88
4.96
4.03
1.25
Eu/Eu*
0.06
0.34
0.63
0.55
0.11
1.67
1.56
Th/U
0.188
0.005
0.007
0.087
0.020
0.018
0.005
Table 1.
Representative analyses of altered rocks from the Sn-W and U ore deposits of the Bohemian Massif.Ko-55 – argillized topaz-albite granite, Hub stock, Krásno–Horní Slavkov ore district, R-1, R-2 – altered biotite gneiss, Rožná uranium deposit, Re-503 – altered biotite gneiss, Okrouhlá Radouň uranium deposit, Re-510 – altered two-mica granite, Okrouhlá Radouň uranium deposit, OR-99 – altered biotite gneiss, Okrouhlá Radouň uranium deposit, ZCH-6 altered biotite gneiss, Zadní Chodov uranium deposit. REE – rare earth elements, LaN/YbN = LREE/HREE (light rare earth elements/heavy rare earth elements, Eu/Eu* = EuN/(SmN GdN). Normalising values of chondrites are from Taylor and McLennan [29].
5. Geochemistry of altered rocks
The chemical composition of arigillized topaz-albite granites connected with Sn-W mineralization was investigated in area of the Hub stock (Krásno–Horní Slavkov ore district). Argillitized granites are in comparison with original topaz-albite granite enriched in CaO and MgO and depleted in alkalies (Fig. 4). During argillization of topaz-albite granites were also accessory minerals (monazite and zircon) partly dissoluted and argillized granites were depleted in REE (Fig. 5).
Figure 4.
Plot of Na2O + K2O (wt%) vs. SiO2 (wt%) for arigillized granites from the Krásno–Horní Slavkov ore district.
Geochemistry of altered high-grade metamorphic rocks was studied in the area of the Rožná, Okrouhlá Radouň and Zadní Chodov uranium ore deposits. The distribution of REE in barren, pre-ore altered (desilicified, albitized, hematitized and chloritized) biotite paragneisses of all three examined uranium deposits usually display patterns similar to those of the parent paragneisses. Barren, syn-ore argillized, chloritized and in the Okrouhlá Radouň uranium deposit also strongly carbonatized rocks show significantly lower bulk contents of REE (49–232 ppm) and relatively high LREE/HREE ratios (8.7–17.6) in comparison with hydrothermally unaffected gneisses. Higher LREE/HREE ratio (12.8–16.1), i.e. high depletion on HREE was found in graphitised cataclastites from the Rožná uranium deposit, which are characterized by the lowest bulk content of REE (49–98 ppm) (Fig. 6).
Figure 5.
Chondrite normalized REE patterns for topaz-albite granites and argillized granites from the Krásno–Horní Slavkov ore district. Normalising values are from Taylor and McLennan [29].
Figure 6.
Chondrite normalized REE patters for hydrothermally altered rocks from the Rožná and Okrouhlá Radouň uranium deposits. Normalising values are from Taylor and McLennan [29].
The geochemistry of altered granites connected with uranium mineralization was studied in the Okrouhlá Radouň and Vítkov II uranium deposits. Hydrothermal alteration of two-mica granites from the southern part of the Okrouhlá Radouň uranium deposit is characterized by a higher Fe2O3/FeO ratio and by a significant depletion in SiO2 contents. Highly altered granites typically show high contents of Na2O and usually low contents of K2O. The content of K2O is higher only at the presence of higher amounts of newly originated white mica (muscovite) and/or illite. The later carbonatization of quartz-depleted altered granites is characterized by high contents of CaO and CO2. The hydrothermal alteration of granites is, due to the dissolution of K-feldspar, connected with a depletion in Rb and sometimes also with the evolution of a prominent negative europium anomaly (Eu/Eu* = 0.11). The higher content of HREE in altered granites is connected with the origin of uranium mineralization and a higher concentration of HREE in coffinite. Chloritization of porphyric biotite granite from the Bor pluton at the Vítkov II uranium deposit are accompanied by the silica removal, which continued during the argillization. A moderate increase in TiO2 and P2O5 contents occurred in the course of the hydrothermal alterations. Contents of A12O3 and Fe2O3 increased during the chloritization and argillization. In the course of chloritization, the content of FeO and MgO increased considerably, which is reflected by the formation of chlorites I richer in iron. The MgO content also increased sizeably during argillization. The content of CaO increases in the granites affected by carbonatization and it decreases in the rocks affected by chloritization and in majority of argillized granites. The content of Na2O increases in the rocks affected by albitization, it is considerably lower in the argillized granites.
6. Composition of chlorite
In altered paragneisses and granites of above-mentioned uranium ore deposits chlorite occurs usually in four generations (chlorite I, II, III, IV). The main portions of chlorite are formed by inherited chlorite I and inherited to authigenic chlorite II, which occurs in shear zones. These shear zones host the main part of the disseminated uranium mineralization. The chlorite I often preserves the morphology of original biotite, whereas chlorite II forms fluidal aggregates in cataclastites, represented the predominant filling of shear zones. The both later chlorite generations (chlorite III and IV) crystallized in free voids of rocks originated due to quartz dissolution. The composition of these four chlorite generations in individual uranium deposits is quite different. The inherited chlorite of pre-ore and syn-ore stage is pycnochlorite to brunsvigite (Fig. 7, 8, 9).
In the Rožná uranium deposit occurs also Mg-rich inherited to authigenic chlorite (diabantite), which forms fluidal aggregates in shear zones (matrix chlorite). For inherited chlorite from the Rožná uranium deposit is significant relatively high content of Si (up to 7.21 apfu). The content of Si in inherited chlorite from pre-ore stage of the Okrouhlá Radouň, Zadní Chodov and Vítkov II uranium deposits is distinctly lower (4.38–6.44) (Fig. 8, 9). Likewise occur differences in Mg/(Mg + Fe) ratio. Distinctly Fe-enriched inherited chlorites (brunsvigite) occur in shear zones of the Rožná and Okrouhlá Radouň uranium deposits with Mg/(Mg + Fe) ratio from 0.13 to 0.43. However, the inherited to authigenic chlorite from the Rožná uranium deposit is Mg-enriched chlorite (diabantite) with Mg/(Mg + Fe) ratio from 0.48 to 0.69 (Fig. 7).
The authigenic chlorites from all these uranium deposits are in comparison with inherited chlorites enriched in Mg. The lower enrichment in Mg displays the authigenic chlorites from the Rožná and Okrouhlá Radouň uranium deposits, whereas high enrichment in Mg displays chlorites from the West Bohemian uranium deposits (Zadní Chodov, Vítkov II) (Fig. 7, 8, 9). The Mg/(Mg + Fe) ratio for authigenic chlorite from syn-ore and post-ore stage of the Rožná uranium deposit is quite similar (0.45–0.55), whereas the values of this ratio for authigenic chlorite from the Okrouhlá Radouň uranium deposit are partly lower (0.30–0.57). However, the Mg/(Mg + Fe) ratio in authigenic chlorites from the Zadní Chodov and Vítkov II uranium deposits is distinctly higher (0.74–0.88).
wt.%
Ro-5
Ro-16
Ro-27
Ra-13
Ra-54
ZCH-1
Vi-18
SiO2
29.81
30.36
31.91
27.47
25.09
27.28
26.03
TiO2
0.36
0.00
1.74
0.04
0.12
0.00
0.11
Al2O3
14.34
16.32
13.97
20.85
20.60
20.40
20.41
Cr2O3
0.02
0.00
0.00
0.01
0.02
0.05
0.00
FeO
33.66
26.75
17.70
22.49
32.95
20.73
25.99
MnO
0.42
0.27
0.31
0.19
0.21
0.15
0.37
MgO
8.77
13.92
19.54
16.40
9.48
19.09
13.95
CaO
0.28
0.27
0.00
0.14
0.04
0.00
0.07
Na2O
0.62
0.00
0.60
0.06
0.00
0.06
0.20
K2O
0.10
0.00
1.31
0.07
0.02
0.04
0.09
F
0.00
0.00
0.00
0.11
0.00
0.00
0.00
Cl
0.00
0.00
0.00
0.00
0.01
0.00
0.00
H2O calc.
10.97
11.41
11.72
11.56
11.03
11.71
11.26
O=(F, Cl)
0.00
0.00
0.00
0.05
0.00
0.00
0.00
Total
99.35
99.32
98.80
99.34
99.57
99.51
98.48
apfu
Si4+
6.52
6.38
6.53
5.67
5.46
5.59
5.54
AlIV
1.48
1.62
1.47
2.33
2.54
2.41
2.46
AlVI
2.21
2.42
1.90
2.75
2.73
2.51
2.26
Ti4+
0.06
0.00
0.27
0.01
0.02
0.00
0.02
Fe2+
6.15
4.70
3.03
3.89
5.99
3.55
4.63
Cr2+
0.00
0.00
0.00
0.00
0.00
0.01
0.00
Mn2+
0.08
0.05
0.05
0.03
0.04
0.03
0.07
Mg2+
2.86
4.36
5.96
5.05
3.07
5.83
4.43
Ca2+
0.07
0.06
0.00
0.03
0.01
0.00
0.02
Na1+
0.26
0.00
0.24
0.02
0.00
0.02
0.08
K1+
0.03
0.00
0.34
0.02
0.01
0.01
0.02
F1-
0.00
0.00
0.00
0.14
0.00
0.00
0.00
Cl1-
0.00
0.00
0.00
0.00
0.01
0.00
0.00
OH1-
16
16
16
15.92
16
16
16
O
36
36
36
36
36
36
36
Mg/(Mg + Fe)
0.32
0.48
0.66
0.57
0.34
0.62
0.49
Table 2.
Representative analyses of chlorites from the Rožná, Okrouhlá Radouň, Zadní Chodov and Vítkov II uranium deposits.Ro-5 – inherited chlorite, ore stage, Rožná, Ro-16 –authigenic chlorite, post-ore stage, Rožná,Ro-27 – inherited to authigenic chlorite, pre-ore stage, Rožná, Ra-13 – authigenic chlorite, ore stage, Okrouhlá Radouň, Ra-54 –inherited chlorite, pre-ore stage, Okrouhlá Radouň, ZCH-1 – inherited chlorite, pre-ore stage, Zadní Chodov, Vi-18 –inherited chlorite, pre-ore stage, Vítkov II.
Figure 7.
Classification diagram for chlorite from the Rožná uranium deposit according Hey [30].
From chemical composition of chlorites can be estimated temperatures of hydrothermal alterations in these ore deposits. The used chlorite thermometer for chlorites from pre-ore stage in the Rožná uranium deposit yielded temperatures from 219 ºC to 310 ºC. Authigenic syn-ore chlorites from all four uranium deposits indicate a temperature range from 145 ºC to 210 ºC. Authigenic post-ore chlorites are relatively rare and yielded temperatures for 150 ºC to 170 ºC.
Figure 8.
Classification diagram for chlorite from the Okrouhlá Radouň uranium deposit according Hey [30].
Figure 9.
Classification diagram for chlorite from the Zadní Chodov and Vítkov II uranium deposits according Hey [30].
7. Composition of white mica
The white mica occurs in altered rocks of the Sn-W and U ore deposits as relatively rare mineral. The majority of white mica has composition of muscovite with variable content of water (hydromuscovite), Fe, Mg, Na and Ca (Table 3, Fig. 10).
Figure 10.
Plot of Fe + Mg (apfu) vs. Si (apfu) for white mica from the Krásno–Horní Slavkov ore district, Rožná, Okrouhlá Radouň and Vítkov II uranium deposits.
wt.%
Hub-27
Hub-30
Ro-12
Ra-1
Ra-2
Vi-1
Vi-3
Hub-18
Hub-19
SPO-2
SiO2
48.30
48.87
48.82
46.63
45.45
45.96
47.98
50.90
50.94
48.52
TiO2
0.06
0.05
0.00
0.12
0.02
0.32
0.40
0.03
0.01
0.08
Al2O3
34.38
34.69
34.37
35.52
37.23
34.07
33.25
34.83
35.52
26.03
Cr2O3
0.01
0.01
0.00
0.05
0.02
0.00
0.00
0.03
0.00
0.00
FeO
1.41
1.28
0.24
1.48
1.06
0.64
1.05
0.98
1.42
6.82
MnO
0.04
0.06
0.00
0.02
0.08
0.02
0.00
0.19
0.16
0.04
MgO
0.27
0.30
0.56
0.73
0.62
0.54
2.25
0.19
0.28
1.78
CaO
0.05
0.05
0.00
0.01
0.00
2.62
0.00
0.29
0.46
0.15
Na2O
0.16
0.19
0.40
0.69
0.67
0.02
0.26
0.12
0.15
0.06
K2O
10.10
10.21
9.69
10.55
10.78
10.07
10.21
8.32
7.13
9.31
F
0.91
0.90
0.00
0.08
0.03
0.00
0.00
0.31
0.15
0.00
Cl
0.01
0.02
0.00
0.01
0.00
0.00
0.00
0.00
0.03
0.00
H2O calc.
4.08
4.13
4.53
4.49
4.52
4.45
4.53
4.50
4.60
4.30
Total
99.78
100.76
98.61
100.38
100.48
98.71
99.93
100.69
100.85
97.09
apfu
Si4+
6.41
6.42
6.47
6.18
6.02
6.19
6.35
6.57
6.53
6.77
AlIV
1.59
1.58
1.53
1.82
1.98
1.81
1.66
1.43
1.47
1.23
AlVI
3.78
3.79
3.83
3.72
3.82
3.60
3.52
3.86
3.89
3.04
Ti4+
0.01
0.01
0.00
0.01
0.00
0.03
0.04
0.00
0.00
0.01
Fe2+
0.16
0.14
0.03
0.16
0.12
0.07
0.12
0.11
0.15
0.80
Cr2+
0.00
0.00
0.00
0.01
0.00
0.00
0.00
0.00
0.00
0.00
Mn2+
0.00
0.01
0.00
0.00
0.01
0.00
0.00
0.02
0.02
0.01
Mg2+
0.05
0.06
0.11
0.14
0.12
0.11
0.44
0.04
0.05
0.37
Ca2+
0.01
0.01
0.00
0.00
0.00
0.38
0.00
0.04
0.06
0.02
Na1+
0.04
0.05
0.10
0.18
0.17
0.01
0.07
0.03
0.04
0.02
K1+
1.71
1.71
1.64
1.78
1.82
1.73
1.72
1.37
1.17
1.66
OH1-
4.00
4.00
4.00
4.00
4.00
4.00
4.00
4.00
4.00
4.00
O
24.00
24.00
24.00
24.00
24.00
24.00
24.00
24.00
24.00
24.00
Mg/(Mg + Fe)
0.25
0.30
0.80
0.47
0.51
0.60
0.79
0.26
0.26
0.32
Table 3.
Representative analyses of white mica and illite from the Krásno––Horní Slavkov ore district, Rožná, Okrouhlá Radouň and Vítkov II uranium deposits.Hub-27, 30 – muscovite, argillized granite, Krásno–Horní Slavkov ore district, Ro-12 – muscovite, altered gneiss, Rožná uranium deposit, Ra-1, 2 – muscovite, altered two-mica granite, Okrouhlá Radouň uranium deposit, Vi-1, 3 – muscovite, altered biotite granite, Vítkov II uranium deposit, Hub-18, 19 – illite, argillized granite, Krásno–Horní Slavkov ore district, SPO-2 – illite, altered gneiss, Rožná uranium deposit.
The lowest content of Fe (0.01–0.16 apfu), Mg (0.00–0.06 apfu), Na (0.01–0.05 apfu) and Ca (0.00–0.01 apfu) displays muscovite from greisenized topaz-albite granites of the Hub stock (Krásno–Horní Slavkov ore district). Similar low contents of these elements were found in white mica from the Rožná uranium deposit. The white mica from the Okrouhlá Radouň uranium deposit is partly enriched in Fe (up to 0.43 apfu) and Mg (0.11–0.39 apfu). The white mica from this uranium deposit displays also enrichment in Na (0.12–0.22 apfu). The white mica from the Vítkov II uranium deposit has highly variable content of Mg (0.0–0.73 apfu) and analysis with the highest content of Mg can be classified as phengite (Fig. 10).
8. Composition of clay minerals
Chemical composition of clay minerals (illite, kaolinite, smectite, corrensite) was determined only for illite, kaolinite and smectite. Corrensite is distinctly rare mineral, which was not found in thin sections that are analysed by microprobe. Kaolinite and illite were identified by XRD method in all examined deposits. Chemical analyses of these clay minerals were plotted in the M+R3 – 2R3 – 3R2 diagram modified by Velde [19] (Table 4, Fig. 11). However, they are analysed only in argillized granites from the Krásno–Horní Slavkov ore district and in altered rocks from the Rožná and Okrouhlá Radouň uranium deposits. In kaolinite from argillized granites of the Hub stock (Krásno–Horní Slavkov ore district) content of Si is lower (3.45–4.08 apfu) than its content in kaolinite from altered rocks in the Okrouhlá Radouň uranium deposit (4.03–4.17 apfu). Some differences in chemical composition of kaolinite from both ore deposits display also contents of Fe, Mg, Ca and K. In kaolinite from the Krásno–Horní Slavkov Sn-W ore district occur enrichment in Fe (0.02–0.26 apfu), Ca (0.00–0.07 apfu) and K (0.00–0.10 apfu). Contents all these elements in kaolinite from the Okrouhlá Radouň uranium deposit are lower – Fe (0.01–0.08 apfu), Ca (0.01–0.06 apfu) and K (0.00–0.08 apfu). However, the content of Mg (0.02–0.45 apfu) is partly higher in kaolinite from the Okrouhlá Radouň ore deposit, whereas kaolinite from the Krásno–Horní Slavkov ore district is in Mg depleted (0.00–0.07 apfu). Illite from both type deposits is partly enriched in Fe (0.07–0.11 apfu). Smectite from the Krásno–Horní Slavkov ore district is enriched in Fe (0.25 apfu) and Ca (0.15 apfu), whereas smectite from the Okrouhlá Radouň ore deposit is enriched in Mg (0.45 apfu).
Figure 11.
Plot of M+R3 – 2R3 – 3R2 according Velde [19] for clay minerals from the Krásno–Horní Slavkov ore district and Okrouhlá Radouň uranium deposit.
wt.%
Hub-13
Hub-30
Hub-36
Ra-12
Ra-15
Ra-16
Ra-13
SiO2
46.80
46.92
39.52
48.38
50.57
47.27
52.05
TiO2
0.00
0.02
0.00
0.02
0.00
0.00
0.00
Al2O3
38.61
38.01
14.06
36.66
30.43
37.32
27.18
Cr2O3
0.01
0.00
0.00
0.00
0.00
0.01
0.02
FeO
0.30
0.23
1.43
0.31
1.10
0.11
1.49
MnO
0.00
0.06
0.11
0.00
0.02
0.06
0.00
MgO
0.07
0.08
0.06
0.46
3.06
0.28
3.49
CaO
0.15
0.08
0.08
0.21
0.58
0.46
0.64
Na2O
0.04
0.05
0.02
0.02
0.01
0.01
0.06
K2O
0.20
0.06
0.36
0.03
0.47
0.01
1.85
F
0.09
0.08
0.00
0.00
0.00
0.00
0.00
Cl
0.00
0.01
0.00
0.01
0.03
0.00
0.05
H2O calc.
13.88
13.80
13.74
13.96
13.82
13.85
13.74
O=(F, Cl)
0.04
0.04
0.00
0.00
0.01
0.00
0.01
Total
100.11
99.36
100.38
100.36
100.08
99.49
100.56
apfu
Si4+
4.03
4.06
3.45
4.16
4.39
4.09
4.54
AlIV
0.00
0.00
0.55
0.00
0.00
0.00
0.00
AlVI
3.92
3.88
4.08
3.71
3.11
3.81
2.79
Ti4+
0.00
0.00
0.00
0.00
0.00
0.00
0.00
Fe2+
0.02
0.02
0.10
0.02
0.08
0.01
0.11
Cr2+
0.00
0.00
0.00
0.00
0.00
0.00
0.00
Mn2+
0.00
0.00
0.01
0.00
0.00
0.00
0.00
Mg2+
0.01
0.01
0.01
0.06
0.40
0.04
0.45
Ca2+
0.01
0.01
0.01
0.02
0.05
0.04
0.06
Na1+
0.01
0.01
0.00
0.00
0.00
0.00
0.01
K1+
0.02
0.01
0.04
0.04
0.05
0.01
0.21
F1-
0.05
0.04
0.00
0.00
0.00
0.00
0.00
Cl1-
0.00
0.00
0.00
0.00
0.01
0.00
0.02
OH1-
7.98
7.98
8.00
8.00
8.00
8.00
7.99
O
18.00
18.00
18.00
18.00
18.00
18.00
18.00
Mg/(Mg + Fe)
0.29
0.37
0.07
0.73
0.83
0.82
0.81
Table 4.
Representative analyses of clay minerals from the Krásno–Horní Slavkov ore district and Okrouhlá Radouň uranium deposit.Hub-13, 30, 36 – kaolinite, argillized granite, Krásno–Horní Slavkov ore district, Ra-12, 15, 16 – kaolinite, argillized gneiss, Okrouhlá Radouň uranium deposit, Ra-13 – smectite, argillized gneiss, Okrouhlá Radouň uranium deposit.
9. Discussion
The associations of chlorites and clay minerals and their chemistry were studied in unconformity-type uranium deposits occurred in Canada [6] and Australia [1, 2]. In these deposits were studied layered silicates in mineralized shear zones, which are evolved in various altered metasediments. In both areas are clay minerals represented predominantly by chlorites and smectites. Authigenic chlorites from unconformity-type uranium deposits occurred in Australia are enriched in Mg [1,2]. The clay minerals assemblage is usually enriched in illite-smectite mixed layer minerals. Illite-smectite mixed layer minerals together with kaolinite and chlorite are characteristic for argillized granitic rocks occurred in uranium ore deposits from the French Massif Central [3]. The temperatures, which were determined by chlorite thermometry in the Rožná, Okrouhlá Radouň and Vítkov II uranium deposits can be well correlated with temperatures obtained by study of fluid inclusions [10, 20].
The greisenized and argillized granites connected with Sn-W mineralization are usually enriched in kaolinite and illite [4, 5, 7]. In greisens from Sn-W ore deposits evolved in the Saxothuringian Zone of the Bohemian Massif was also found dickite [9], together with smectite and illite-smectite mixed layer minerals [21]. The cookeite, which was found in cassiterite–enriched pockets in the Krásno–Horní Slavkov ore district [8] occurs also in other tin ore deposits [22]. Temperature of the cookeite origin can be estimated from data on cookeite stability [23] at 270–350 oC. This temperature can be well correlated with temperatures of clay minerals origin in ore pockets obtained by fluid inclusion study [24]. Occurrences of corrensite were recorded usually from hydrothermally altered intermediate to basic volcanic rocks [25, 26, 27]. Similar association of corrensite with kaolinite, illite and mixed-layer illite/smectite was found in granitic cupola of the Montebras, France [28]. According to Velde [19], the thermal stability of corrensite ranges from 180–200 oC to 280 oC. This temperature is in agree with the homogenization temperatures, which were found in quartz-fluorite veinlets occurred in arigilized greisens of the Krásno–Horní Slavkov ore district [24].
\n',keywords:null,chapterPDFUrl:"https://cdn.intechopen.com/pdfs/38853.pdf",chapterXML:"https://mts.intechopen.com/source/xml/38853.xml",downloadPdfUrl:"/chapter/pdf-download/38853",previewPdfUrl:"/chapter/pdf-preview/38853",totalDownloads:3814,totalViews:569,totalCrossrefCites:1,totalDimensionsCites:5,totalAltmetricsMentions:0,impactScore:2,impactScorePercentile:76,impactScoreQuartile:4,hasAltmetrics:0,dateSubmitted:"November 21st 2011",dateReviewed:"April 23rd 2012",datePrePublished:null,datePublished:"September 12th 2012",dateFinished:null,readingETA:"0",abstract:null,reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/38853",risUrl:"/chapter/ris/38853",book:{id:"2328",slug:"clay-minerals-in-nature-their-characterization-modification-and-application"},signatures:"Miloš René",authors:[{id:"142108",title:"Dr.",name:"Miloš",middleName:null,surname:"René",fullName:"Miloš René",slug:"milos-rene",email:"rene@irsm.cas.cz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/142108/images/system/142108.png",institution:{name:"Institute of Rock Structure and Mechanics",institutionURL:null,country:{name:"Czech Republic"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Geological background",level:"1"},{id:"sec_3",title:"3. Analytical methods",level:"1"},{id:"sec_4",title:"4. Results",level:"1"},{id:"sec_4_2",title:"4.1. Petrology",level:"2"},{id:"sec_6",title:"5. Geochemistry of altered rocks",level:"1"},{id:"sec_7",title:"6. Composition of chlorite",level:"1"},{id:"sec_8",title:"7. Composition of white mica",level:"1"},{id:"sec_9",title:"8. Composition of clay minerals",level:"1"},{id:"sec_10",title:"9. Discussion",level:"1"}],chapterReferences:[{id:"B1",body:'BeaufortD.PatrierP.LaverretF.BrunetonP.MondyJ.2005Clay-alteration associated with Proterozoic unconformity-type uranium deposits in the East Alligator rivers uranium field, Northern Territory, Australia. Econ Geol 100515536'},{id:"B2",body:'Nutt C J1989Chloritization and associated alteration at the Jabiluka unconformity-type uranium deposit, Northern Territory, Australia. Canad Mineral 274158'},{id:"B3",body:'PatrierP.BeaufortD.BrilH.BonhomméM.FouillacA. M.AumáitreR.1997Alteration-mineralization at the Bernardan U deposit (Western Marche, France). The contribution of alteration petrology and crystal chemistry of secondary phases to a new genetic model. Econ Geol 92448467'},{id:"B4",body:'PouliotG.BarondeauB.SauveP.DavisM.1978Distribution of alteration minerals and metals in the Fire Tower zone at Brunswick tin mines Ltd., Mount Pleasant area, New Brunswick. Canad Mineral 16223237'},{id:"B5",body:'Psyrillos A, Mannig D A C, Burley S D2001The nature and significance of illite associated with quartz-hematite hydrothermal veins in the St. Austell pluton, Cornwall, England. Clay Minerals 36585597\n\t\t\t'},{id:"B6",body:'RimsaiteJ.1978Layer silicates and clays in the Rabbit lake uranium deposit, Saskatchewan. Pap Geol Surv Canada 781A: 303-315.'},{id:"B7",body:'Sainsbury C L1960Metallization and post-mineral hypogene argillization, Lost river tin mine, Alaska. Econ Geol 5514781506'},{id:"B8",body:'MelkaK.KošatkaM.ZoubkováJ.1991The occurrence of dioctahedral chlorite in greisen. In: Proc 7th Euroclay Conf. Dresden. 757760'},{id:"B9",body:'MelkaK.ŠtemprokM.1961The determination of dickite from Cínovec (Zinnwald), Czechoslovakia. Acta Univ Carol Geol Suppl 1307317'},{id:"B10",body:'KříbekB.ŽákK.DobešP.LeichmannJ.PudilováM.RenéM.ScharmB.ScharmováM.HájekA.HoleczyD.HeinU. F.LehmannB.2009The Rožná uranium deposit (Bohemian Massif, Czech Republic): shear zone-hosted, late Variscan and post-Variscan hydrothermal mineralization. Mineral Deposita 4499128'},{id:"B11",body:'RenéM.MatějkaD.KlečkaM.1999Petrogenesis of granites of the Klenov massif. Acta Montana Ser AB 7107134'},{id:"B12",body:'RenéM.MatějkaD.NosekT.2003Geochemical constraints on the origin of a distinct type of two-mica granites (Deštná- Lásenice type) in the Moldanubian batholith (Czech Republic). Acta Montana Ser A 235976'},{id:"B13",body:'RenéM.2005Geochemical constraints of hydrothermal alteration of two-mica granites of the Moldanubian batholith at the Okrouhlá Radouň uranium deposit. Acta Geodyn Geomater 2117'},{id:"B14",body:'RenéM.2000Petrogenesis of the Variscan granites in the western part of the Bohemian Massif. Acta Montana Ser A 156783'},{id:"B15",body:'SiebelW.BreiterK.WendtI.HöhndorfA.Henjes-KunstF.RenéM.1999Petrogenesis of contrasting granitoid pluton in western Bohemia (Czech Republic). Mineral Petrol 65207235'},{id:"B16",body:'BarešM.FialaV.1982Hydrothermogenous clay minerals of some localities in Moldanubian rocks. In: 9th Conf. On Clay Mineralogy and Petrology. Zvolen. 233240'},{id:"B17",body:'PouchouJ. L.PichoirF.1985PAP” (--Z) procedure for improved quantitative microanalysis. In: Armstrong J T, editor Microbeam analysis. San Francisco. San Francisco Press. 104106\n\t\t\t'},{id:"B18",body:'Walshe J L1986A six-component chlorite solid solution model and the conditions of chlorite formation in hydrothermal and geothermal systems. Econ Geol 81681703'},{id:"B19",body:'Velde1977Clays and clay minerals in natural and synthetic systems. Amsterdam. Elsevier. 325 p.'},{id:"B20",body:'RenéM.1997Fluid system of the Vítkov II uranium deposit (Bor pluton, western part of Bohemian massif, Czech republic). Mitt sterr miner Ges 1421920'},{id:"B21",body:'MachZ.1979Association of clay minerals with tin-tungsten mineralization in the surroundings of Krásno near Horní Slavkov. Acta Univ Carol Geol 1979: 105-132 (in Czech)'},{id:"B22",body:'RenShuang. K.EggletonR. A.WalsheL.1988The formation of hydrothermal cookeite in the breccia pipes of the Ardlethan tin field, New South Wales, Australia. Canad Mineral 26407412'},{id:"B23",body:'VidalO.GofféB.1991Cookeite LiAl4(Si3Al)O10(OH)8: Experimental study and the thermodynamical analysis of its compatibility relations in the Li2O-Al2O3-SiO2-H2O system. Contrib Mineral Petrol 1087281'},{id:"B24",body:'DolníčekZ.RenéM.ProchaskaW.KovářM.2012Fluid evolution of the Hub stock, Horní Slavkov-Krásno Sn-W ore district, Bohemian Massif, Czech Republic. Mineral. Deposita DOI:s00126-012-0400-0.'},{id:"B25",body:'Garvie L A J, Metcalfe R1997A vein occurrence of co-existing talc, saponite, and corrensite, Builth Wells, Wales. Clay Minerals 32223240'},{id:"B26",body:'DekayirA.AmouricM.OlivesJ.2005Clay minerals in hydrothermally altered basalts from Middle Atlas, Marocco. Clay Minerals 406777'},{id:"B27",body:'Jiménez-MillánJ.AbadI.NietoF.2008Contrasting alteration processes in hydrothermally altered dolerites from the Betic Cordillera, Spain. Clay Minerals 43267280'},{id:"B28",body:'DudoignonP.BeaufortD.MeunierA.1988Hydrothermal and supergenne alterations in the granitic cupola of Montebras, Creuse, France. Clays Clay Minerals 36505520'},{id:"B29",body:'Taylor S R, McLennan S M1985The continental crust: Its composition and evolution. Oxford. Blackwell. 312 p.'},{id:"B30",body:'Hey M H1954A new review of the chlorites. Mineral Mag 30277292'},{id:"B31",body:'Bailey S W1982Nomenclature for regular interstratifications. Amer Mineral 67394398'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Miloš René",address:null,affiliation:'
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1. Introduction
Oral cancer remains as a significant cause of mortality worldwide as most of these the tumors are detected and treated in late stages. The etiology of oral cancer is multifactorial. Tobacco and alcohol are still considered the main risk factors as about 80% of the patients who develop oral tumors are tobacco and/or alcohol users [1]. Additional etiologic factors have also been suggested such as infection by human papillomavirus (HPV) and other oncogenic viruses, immunosuppression states, genetic alterations, and deficient nutrition.
Dental implants are one of the top choices for the oral rehabilitation of partially or totally edentulous patients. The stability and comfort provided by the implants-anchored crowns are among their clinical advantages. Moreover, the success rate of dental implants surpasses 94.6% [2]. However, the soft tissue and supporting structures around the dental implants remain exposed to the oral cavity and may undergo pathological changes. The most frequent lesions are those of inflammatory nature triggered by the accumulation of bacterial biofilm. When the inflammatory lesion is confined to the soft tissue, it is named as peri-implant mucositis. On the other hand, when there is loss of supporting bone, the lesion is known as peri-implantitis. Due to the high incidence of peri-implant inflammatory diseases, some dental professionals treat the lesion but do not send the specimens to the microscopical analysis. About 3.6% of the lesions are malignant tumors (mainly squamous cell carcinomas, the most common malignancy of the oral cavity) [3]. In 2001, the first cases of malignant lesions developing around dental implants were published [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]. Since then, the potential relationship of titanium implants with malignant tumor development has been discussed [1, 5, 13].
The aim of this chapter was to offer the readership the most recent information regarding the clinical features of oral cancer around dental implants, its differential diagnosis, and potential oncogenic mechanisms.
2. Clinical features of oral cancer around dental implants
A review of literature available until September 2021 was conducted in the PubMed/Medline database using the term “Oral squamous cell carcinoma around dental implants.” Only cases with definitive microscopic diagnosis of OSCC arising in the soft tissue around one or more dental implants were included. The literature review revealed 43 cases of patients with OSCC around dental implants in the 19 published manuscripts [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]. All clinical and epidemiological information about the sample is summarized in the Table 1.
Demographic and clinical features of patients diagnosed with oral squamous cell carcinoma around dental implants.
M = Male; F = Female; Pre.Rep.CA = Previously reported cancer; PI = Peri-implantitis; OL = Oral lichen planus; NA = Not available. * Patients who smokers and/or drinkers were considered.
The age of patients with oral cancer around dental implants ranged from 61 to 75 years old. There was a predominance of females (24 cases - 57.14%) when compared to males (18 cases - 42.86%). The typical clinical appearance of oral cancer around dental implants was an exophytic mass (20 tumors—47.62%) with few cases presenting as ulcer (4 tumors—9.52%). The bone osteolysis was frequently observed in the area of tumor causing the implant loss in some patients. The tumors affected mainly mandible (38 cases—90.47%) of the patients with multiples osseointegrated implants. Of note, oral cancer around dental implants is frequently clinically mistaken as peri-implantitis (Table 1).
Although peri-implantitis is the most common local risk factor for dental implant failure, the development of oral cancer involving the soft tissue around the titanium also impact the quality of life of the patient negatively. The oral cancer can manifest as hypertrophy, erythema, and/or ulcerative lesion of the soft tissue, and these features are similar to inflammatory peri-implant diseases such as peri-implantitis and/or peri-implant mucositis, as described by others [7, 10, 11]. Furthermore, these inflammatory peri-implant diseases frequently present the same epidemiological pattern and risk factors for oral cancer, that is, patients older than 60 years old and chronic tobacco and/or alcohol consumers [1]. Although there are protocols for peri-implantitis treatment, frequently, the peri-implant tissue removed during this surgical treatment is not submitted for histopathological analysis [23, 24]. Then, the number of reported cases of peri-implant malignancy seems to be low in mouth but it may be being underreported by health professionals [24]. Recently, in a study of 111 biopsies of peri-implant lesions, 3.6% of those had histopathological diagnosis of oral squamous cell carcinomas [3]. Another investigation demonstrated that 2.9% of 68 dental implant-related lesions were oral squamous cells carcinomas [25].
Figure 1 illustrates a case report of an edentulous 64-year-old woman. She had an exophytic mass associated with ulcerated area and covered by a yellowish membrane in the anterior region of the mandible. The lesion was surrounded multiple osseointegrated implants (Figure 1A). She did not report adverse habits, for example, tobacco or alcohol consumption. Periapical radiographic exhibited an ill-defined bone destruction underneath the area of the lesion (Figure 1B). The histopathological analysis exhibited keratinizing well-differentiated epithelial neoplastic cells, some undergoing atypical mitosis, and invading the subjacent fibrous connective tissue (Figure 1C). The diagnosis of oral cancer was confirmed.
Figure 1.
Clinical and microscopic findings of oral squamous cell carcinoma around dental implants. a) Exophytic ulcer covered by necrotic tissue at the anterior-inferior alveolar ridge.b) Periapical radiograph showing an ill-defined bone loss in the peri-implant region. c) Neoplastic squamous epithelium-infiltrating subjacent submucosa with corneal pearls and discrete pleomorphism. d and e) epithelial cells with atypical mitotic figures infiltrating the tissue.
The early diagnosis of malignant tumors around dental implants is challenging because incipient lesions may resemble inflammatory peri-implant lesions [1, 2, 4, 5, 6, 7, 10, 12, 15, 16, 17, 18, 21]. In the Table 1, 14 out of 43 cases of oral cancer surrounding dental implants (33.33%) had the primary diagnosis of peri-implant lesions. Therefore, this clinical misinterpretation might delay the diagnosis of oral cancer facilitating its dissemination and resulting in a worst prognosis of the disease. These facts underscore how critical is the histological exam of every lesion around dental implants surgically removed. Furthermore, the peri-implant lesion that does not present the classical features of an inflammatory condition and that does not respond to conventional treatment, particularly if the patient has risk factor for oral cancer, should be submitted to the biopsy and histopathological analysis [23, 24, 25].
3. Risk factors for oral cancer around dental implants
The etiology of oral cancer is multifactorial. OSCC is the most prevalent oral malignant tumor and it is associated with lifestyle risk factors such as alcohol consumption and smoking [26]. Curiously, tobacco smoking is also the predictor of dental implants failure and more smokers have post-operative infections and peri-implant crestal bone loss than nonsmokers [27, 28]. Although the information about lifestyle-related factors that predispose to oral cancer was incomplete in most of cases included in the Table 1, 34.88% of patients diagnosed with squamous cell carcinoma around dental implants were smokers and/or drinkers. These overlapping risk factors may drive the clinician to attribute the onset of an atypical lesion involving dental implants to a deficient or anomalous immune response of a patient who consumes tobacco and/or alcohol. However, it is essential that the clinicians are aware that the classic signs of inflammation persist in such patients and that these features are useful to distinguish a benign from a malignant lesion. Additionally, the histopathological analysis remains as the gold standard for the diagnosis of lesions located in the oral cavity [23].
A well-defined concept is that patients with previous history of cancer have higher risk of developing other tumors. Twenty-three (54.76%) of all cases of squamous cell carcinoma around dental implants arose in patients with history of cancer. Interestingly, we observed that 19 (82.60%) patients had OSCC previously. Furthermore, other patients had lung [6, 15], intestine [15], thyroid [17], and breast [17, 22] cancer previously. As the development of OSCC has been also associated with genomic instability and genetic predisposition [1], one can hypothesize that a patient who had a malignant lesion are more susceptible to local aggressions such as the contact of the soft tissue with dental implant materials.
4. Carcinogenic mechanisms associated with osseointegrated dental implants
Titanium is one of the most common components in implants alloys used in dental and medical fields [1, 29]. High biocompatibility, appropriate mechanical properties, inertness, and corrosion resistance are among the main advantages of titanium [25, 29, 30]. When the titanium implant is installed in extra oral sites, where it is protected from the contact with the environment, it has inert behavior. On the other hand, dental implants are continuously exposed to the oral cavity hostile conditions [31]. The area between the implants and the abutment or the prosthetic crown is particularly susceptible to the bacterial biofilm accumulation, saliva, pH and temperature changes, and functional micromotion (Figure 2) [31].
Figure 2.
Illustration of potential risk factors and mechanisms on the development of squamous cell carcinoma around dental implants.
When the dental implant surface is exposed to any source of oxygen or nitrogen, a chemical reaction takes place and a thin layer of titanium dioxide (TiO2) is formed and deposited in the outer surface of the implants. This layer is extremely resistant to corrosion. However the chemical agents of the oral cavity can reduce the protection of the dioxide deposit and induce the corrosion development [31]. Saliva and other chemicals introduced into the oral cavity through feeding or in contact with bacterial biofilms influence the gradual biodegradation of metallic structures including the titanium used in dental implants [29]. Furthermore, acidic solution combined with mechanical friction strength potentiates the damages to the implants surfaces. Interestingly, some studies with cytology have demonstrated the presence of titanium particles in the peri-implant tissues [23, 25] regardless of the presence of peri-implantitis or peri-implant mucositis. It has been suggested that this material accumulation may be the result of the corrosive process of the dental implants [29, 30, 32], implant-abutment friction at the installation of the implants, and/or implantoplasty [29, 31, 33, 34]. The degree of titanium corrosion can be influenced by quality and quantity of saliva, diet, alloy polishing, genetics, oral hygiene, amount and distribution of the occlusal forces, and microbiota [29, 30, 32].
The above data show that titanium is not entirely bioinert as suggested years ago. Then, even with their good biological properties, titanium alloys are susceptible to corrosion attack with release of metal ions to the surrounding hard and soft oral tissues, lymph nodes, peripheral, and even distant organs [30]. Consequently, titanium ions have been implicated in the development of oral cancer around dental implants [1, 34].
As stated previously, the relationship between titanium dental implants and oral cancer has been suggested based on the increasing number of tumors arising in the peri-implant tissue. However, as far as we know, there is not any study dedicated to unveil the potential carcinogenic mechanisms triggered by titanium ions.
Titanium particles have been shown to induce the expression of breast cancer gene 1 (BRCA1) and checkpoint kinase 2 (CHK2) in epithelial cells in vitro [35]. These proteins are markers of DNA damage response. Additionally, titanium also triggered the generation of reactive oxygen species (ROS) [36, 37]. The chronic exposure of the epithelial cells to aggressive factors may increase the probability of mutations that might not be detected by the immune system. Indeed, the chronic inflammatory response seems to be also modulated by titanium, especially when there is accumulation of bacterial biofilm. Higher amounts of titanium ions in peri-implant soft tissue with inflammatory process are observed when compared to healthy tissues [25, 38]. Accordingly, titanium nanoparticles induced stronger pro-inflammatory response in macrophages regardless of the association with lipopolysaccharide from Porphyromonas gingivalis [40] and by increasing the secretion of interleukin (IL)-6, IL-1β, and tumor necrosis factor-alpha (TNF-α) by macrophages in vitro [38, 40]. Taken together, all these disturbances in the peri-implant microenvinoment may persist for years and, gradually, predispose the epithelial cells to sequential mutations until the malignant state is reached.
In 2006, the International Agency for Research on Cancer (IARC) classified the titanium dioxide as a possible carcinogen for humans [41]. However, in view of the few case reports of oral cancer around dental implants the authors were unable to exclude the existence of other confounding carcinogens as tobacco and/or alcohol [1, 7, 19].
5. Conclusion
The literature review showed that most cases of OSCC around dental implants had initial clinical features compatible with peri-implantitis. Therefore, this clinical misinterpretation of an inflammatory process in peri-implant mucosa may delay the diagnosis of oral cancer facilitating the local progression and dissemination of cancer cells, resulting in worst patient’s prognosis. Thus, the peri-implant lesion not responding to conventional anti-inflammatory treatment, particularly if the patient has risk factor for oral cancer, should be submitted to the biopsy and histopathological analysis, avoiding delay in the diagnosis of the tumor.
Acknowledgments
This study was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code (#001). We also thank Dr. Marcelo Júnior Zanda for providing the clinical images.
Conflict of interest
The authors declare they do not have conflict of interest.
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Oral squamous cell carcinoma (OSCC) is the most common malignancy among head and neck tumors. It has higher prevalence in men over 50 years old, and in tobacco and/or alcohol users. Unfortunately, oral cancer is often detected in advanced stages, when the treatment options are limited. Thus, OSCC typically has poor prognosis. Despite the recent advances in oral carcinogenesis understanding, the relationship between dental implants and the development of malignant lesions around them is not completely understood. It has been suggested that the titanium corrosion occurring at the top of dental implants causes the release of metal ions. These ions might lead to oral epithelial genetic damage and higher susceptibility of normal mucosa to malignant transformation. The aim of this chapter was to review the clinical characteristics, diagnosis, and the possible carcinogenic mechanisms involved in oral cancer around dental implants.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/79298",risUrl:"/chapter/ris/79298",signatures:"Gabriela Lopes dos Santos, Kaique Preto Alberto, Silas Antonio Juvêncio de Freitas Filho, Kellen Cristine Tjioe and Denise Tostes Oliveira",book:{id:"10827",type:"book",title:"Oral Health Care - An Important Issue of the Modern Society",subtitle:null,fullTitle:"Oral Health Care - An Important Issue of the Modern Society",slug:null,publishedDate:null,bookSignature:"Dr. Lavinia Ardelean and Prof. Laura Cristina Rusu",coverURL:"https://cdn.intechopen.com/books/images_new/10827.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-124-1",printIsbn:"978-1-80355-123-4",pdfIsbn:"978-1-80355-125-8",isAvailableForWebshopOrdering:!0,editors:[{id:"180569",title:"Dr.",name:"Lavinia",middleName:null,surname:"Ardelean",slug:"lavinia-ardelean",fullName:"Lavinia Ardelean"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. 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It often results in high productivity and requires large capital investments, low operating costs, and good safety conditions. The main topics that will be discussed in this chapter will include an introduction into the general features of open pit mining, ore body characteristics and configurations, stripping ratios and stripping overburden methods, mine elements and parameters, open pit operation cycle, pit slope angle, stability of mine slopes, types of highwall failures, mine closure and reclamation, and different variants of surface mining methods including opencast mining, mountainous mining, and artisan mining.",book:{id:"8620",slug:"mining-techniques-past-present-and-future",title:"Mining Techniques",fullTitle:"Mining Techniques - Past, Present and Future"},signatures:"Awwad H. Altiti, Rami O. Alrawashdeh and Hani M. 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The first stage contains the area recognition, its limitation to the target, and elimination of external factors until defining a geothermal zone with characteristics to be commercially exploited. The main studies and analysis that can be applied during the exploration stage are listed, and the major indicator to continue with the project or suspend is the prefeasibility report. The major risks in the exploration stage are due to studies that are carried out on the surface; at this stage, the costs can be considered low. The main results of the exploration are the selection of sites to drill three or four initial wells. Each well provides a direct overview of the reservoir: depth, production thicknesses, thermodynamic parameters, and production characteristics. The drilling of three to four exploratory wells is recommended, as far as there is certainty of the feasibility of the project, and the development of the field begins with drilling of sufficient wells to feed the plant. In this stage, the cost increases, but the risks decrease.",book:{id:"7504",slug:"renewable-geothermal-energy-explorations",title:"Renewable Geothermal Energy Explorations",fullTitle:"Renewable Geothermal Energy Explorations"},signatures:"Alfonso Aragón-Aguilar, Georgina Izquierdo-Montalvo,\nDaniel Octavio Aragón-Gaspar and Denise N. Barreto-Rivera",authors:[{id:"258358",title:"Dr.",name:"Alfonso",middleName:null,surname:"Aragón-Aguilar",slug:"alfonso-aragon-aguilar",fullName:"Alfonso Aragón-Aguilar"}]},{id:"65070",title:"Biochar: A Sustainable Approach for Improving Plant Growth and Soil Properties",slug:"biochar-a-sustainable-approach-for-improving-plant-growth-and-soil-properties",totalDownloads:6893,totalCrossrefCites:55,totalDimensionsCites:92,abstract:"Soil is the most important source and an abode for many nutrients and microflora. Due to rapid depletion of agricultural areas and soil quality by means of ever-increasing population and an excessive addition of chemical fertilizers, a rehabilitated attention is a need of the hour to maintain sustainable approaches in agricultural crop production. Biochar is the solid, carbon-rich material obtained by pyrolysis using different biomasses. It has been widely documented in previous studies that, the crop growth and yield can be increased by using biochar. This chapter exclusively summarizes the properties of biochar, its interaction with soil microflora, and its role in plant growth promotion when added to the soil.",book:{id:"7305",slug:"biochar-an-imperative-amendment-for-soil-and-the-environment",title:"Biochar",fullTitle:"Biochar - An Imperative Amendment for Soil and the Environment"},signatures:"Jyoti Rawat, Jyoti Saxena and Pankaj Sanwal",authors:null},{id:"39170",title:"Study of Impacts of Global Warming on Climate Change: Rise in Sea Level and Disaster Frequency",slug:"study-of-impacts-of-global-warming-on-climate-change-rise-in-sea-level-and-disaster-frequency",totalDownloads:6659,totalCrossrefCites:14,totalDimensionsCites:32,abstract:null,book:{id:"2206",slug:"global-warming-impacts-and-future-perspective",title:"Global Warming",fullTitle:"Global Warming - Impacts and Future Perspective"},signatures:"Bharat Raj Singh and Onkar Singh",authors:[{id:"26093",title:"Dr.",name:"Bharat Raj",middleName:null,surname:"Singh",slug:"bharat-raj-singh",fullName:"Bharat Raj Singh"},{id:"118426",title:"Prof.",name:"Onkar",middleName:null,surname:"Singh",slug:"onkar-singh",fullName:"Onkar Singh"}]}],onlineFirstChaptersFilter:{topicId:"10",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81241",title:"Physiological and Molecular Adaptation of Sugarcane under Drought vis-a-vis Root System Traits",slug:"physiological-and-molecular-adaptation-of-sugarcane-under-drought-vis-a-vis-root-system-traits",totalDownloads:1,totalDimensionsCites:0,doi:"10.5772/intechopen.103795",abstract:"Among various abiotic stresses, water is reported as a rare entity in many parts of the world. Decreased frequency of precipitation and global temperature rise will further aggravate the situation in future. Being C4 plant, sugarcane requires generous water for the proper growth. Plant root system primarily supports above-ground growth by anchoring in the soil and facilitates water and nutrients uptake from the soil. The plasticity and dynamic nature of roots endow plants for the uptake of vital nutrients from the soil even under soil moisture conditions. In sugarcane, the major part of root system are generally observed in the upper soil layers, while limited water availability shifts the root growth towards the lower soil layer to sustained water uptake. In addition, root traits are directly related to physiological traits of the shoot to cope up with water limited situations via reduction in stomatal conductance and an upsurge in density and deep root traits, adaptations at biochemical and molecular level which includes osmotic adjustment and ROS detoxification. Under stressed conditions, these complex interactive systems adjust homeo-statically to minimize the adverse impacts of stress and sustain balanced metabolism. Therefore, the present chapter deals with physiological and biochemical traits along with root traits that helps for better productivity of sugarcane under water-limited conditions.",book:{id:"11131",title:"Drought - Impacts and Management",coverURL:"https://cdn.intechopen.com/books/images_new/11131.jpg"},signatures:"Pooja Dhansu, Arun Kumar Raja, Krishnapriya Vengavasi, Ravinder Kumar, Adhini S. Pazhany, Ashwani Kumar, Naresh Kumar, Anita Mann and Shashi Kant Pandey"},{id:"82515",title:"A Review on Elemental and Isotopic Geochemistry",slug:"a-review-on-elemental-and-isotopic-geochemistry",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.105496",abstract:"Geochemistry is the study of the development, and distribution of chemical elements on Earth, which are found in rock-forming minerals and their byproducts, as well as in living beings, water, and the environment. The elemental geochemical variation of sediments is used to recognize the mechanisms controlling the estuarine environment and serves as a baseline for assessing the environmental effect in the future. Geochemistry is a unique field that deals with the study of mineral deposits. It also addresses the interconnections between the structures of rock, soil, water, and air, which vary according to different places. Furthermore, groundwater is the solely accessible water supply in many desert basins, particularly in developing nations. Geochemical indicators are proper instruments for addressing a diversity of hydrological issues, particularly in arid and semi-arid settings. Thermodynamically, the fugacity of oxygen (fO2) in solid earth varies by many orders of magnitude. Enstatite chondrites can have high levels of hydrogen abundance, hydrogen, and nitrogen isotope compositions like those of the earth’s mantle. The chapter deals with the basic concept of geochemistry and its types, as well as the development of geochemistry. It also explains elemental and isotopes geochemistry, human health, and medical geochemistry.",book:{id:"11139",title:"Geochemistry and Mineral Resources",coverURL:"https://cdn.intechopen.com/books/images_new/11139.jpg"},signatures:"Riyam N. Khalef, Amal I. Hassan and Hosam M. Saleh"},{id:"82311",title:"Remediation of Soil Impacted by Heavy Metal Using Farm Yard Manure, Vermicompost, Biochar and Poultry Manure",slug:"remediation-of-soil-impacted-by-heavy-metal-using-farm-yard-manure-vermicompost-biochar-and-poultry-",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.105536",abstract:"Soil contamination by organic and inorganic compounds is a universal concern nowadays. One such contamination is heavy metal exposure to the soil from different sources. The discharge of effluents from various factories in Punjab like tanning industries, leather industries, and electroplating industries generate a large volume of industrial effluents. These industrial units discharge their effluents directly or through the sewer into a water tributary (Buddha Nallah) and this water is being used for irrigating the crops. The heavy metals enter into the food chain thus contaminating all resources i.e. air, soil, food, and water. Preventive and remedial measures should be taken to reduce the effects of heavy metals from soil and plants. Organic soil amendments like FYM, Vermicomposting, Biochar, and poultry manure have been used to deactivate heavy metals by changing their forms from highly bioavailable forms to the much less bioavailable forms associated with organic matter (OM), metal oxides, or carbonates. These amendments have significant immobilizing effects on heavy metals because of the presence of humic acids which bind with a wide variety of metal(loid)s including Cd, Cr, Cu, and Pb.",book:{id:"10952",title:"Soil Science - Emerging Technologies, Global Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10952.jpg"},signatures:"Neeraj Rani and Mohkam-Singh"},{id:"82451",title:"An Emerging Global Understanding of Arsenic in Rice (Oryza sativa) and Agronomic Practices Supportive of Reducing Arsenic Accumulation",slug:"an-emerging-global-understanding-of-arsenic-in-rice-oryza-sativa-and-agronomic-practices-supportive-",totalDownloads:6,totalDimensionsCites:0,doi:"10.5772/intechopen.105500",abstract:"Arsenic uptake in rice (Oryza sativa) is recognized as a global health emergency, requiring the development of agronomic protocols to reduce human exposure to rice having elevated arsenic concentrations. Recent rice-arsenic investigations have centered around numerous agronomic approaches, including: (i) rice breeding and cultivar selection, (ii) altering irrigation water applications to reduce arsenic soil availability, (iii) application of soil amendments which either support arsenic adsorption on iron-plaque or provide antagonistic competition for root uptake, and (iv) phytoremediation. Given that rice cultivars vary in their arsenic accumulation capacity, this manuscript review concentrates on the influences of water management, soil amendments, and phytoremediation approaches on arsenic accumulation. Water management, whether alternating wetting and drying or furrow irrigation, provides the greatest potential to alleviate arsenic uptake in rice. Phytoremediation has great promise in the extraction of soil arsenic; however, the likelihood of multiple years of cultivating hyperaccumulating plants and their proper disposal is a serious limitation. Soil amendments have been soil applied to alter the soil chemistry to sequester arsenic or provide competitive antagonism towards arsenic root uptake; however, existing research efforts must be further field-evaluated and documented as producer-friendly protocols. The usage of soil amendments will require the development of agribusiness supply chains and educated extension personnel before farm-gate acceptance.",book:{id:"10952",title:"Soil Science - Emerging Technologies, Global Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10952.jpg"},signatures:"Michael Aide and Indi Braden"},{id:"82332",title:"Introductory Chapter: Access to Space, Access to the Moon: Two Sides of the Same Coin?",slug:"introductory-chapter-access-to-space-access-to-the-moon-two-sides-of-the-same-coin",totalDownloads:9,totalDimensionsCites:0,doi:"10.5772/intechopen.105175",abstract:null,book:{id:"10955",title:"Lunar Science - Habitat and Humans",coverURL:"https://cdn.intechopen.com/books/images_new/10955.jpg"},signatures:"Yann-Henri Chemin"},{id:"82329",title:"Bifacial Photovoltaic Technology: Recent Advancements, Simulation and Performance Measurement",slug:"bifacial-photovoltaic-technology-recent-advancements-simulation-and-performance-measurement",totalDownloads:12,totalDimensionsCites:0,doi:"10.5772/intechopen.105152",abstract:"In this chapter, we introduce the physic principle and applications of bifacial PV technology. We present different bifacial PV cell and module technologies as well as investigate the advantages of using bifacial PV technology in the field. We describe the measurement and modeling of Albedo, which is one of the important factors for the energy yield of bifacial PV technology. For an accurate assessment of the performance ratio of bifacial PV strings, it is necessary to measure the albedo irradiance using an albedometer or the front- and rear-side plane of array (POA) irradiance. We also discuss the advanced techniques for the characterization of bifacial PV modules. By means of simulation, we give insight into what boundary conditions result in new bifacial technology gains and the influence of the mounting position of irradiance sensors. We executed several simulations by varying the sensor positions on the rear side of the PV modules, different places, different albedo numbers, mounting heights, different geographical locations with various tilts, seasons, and weather types. To validate the simulation results, we performed various experiments in the field under different conditions. The results prove that the bifacial gain is highly dependent on the mounting heights of PV modules, tilt angles, weather conditions, latitude, and location.",book:{id:"9862",title:"Solar Radiation - Measurements, Modeling and Forecasting for Photovoltaic Solar Energy Applications",coverURL:"https://cdn.intechopen.com/books/images_new/9862.jpg"},signatures:"Mohammadreza Aghaei, Marc Korevaar, Pavel Babal and Hesan Ziar"}],onlineFirstChaptersTotal:136},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:320,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:133,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:16,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"July 5th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:32,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"14",title:"Cell and Molecular Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",isOpenForSubmission:!0,editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",slug:"rosa-maria-martinez-espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",biography:"Dr. Rosa María Martínez-Espinosa has been a Spanish Full Professor since 2020 (Biochemistry and Molecular Biology) and is currently Vice-President of International Relations and Cooperation development and leader of the research group 'Applied Biochemistry” (University of Alicante, Spain). Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. Dr. Beydemir is also Rector of Bilecik Şeyh Edebali University, Turkey.",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",slug:"deniz-ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",biography:"Dr. Deniz Ekinci obtained a BSc in Chemistry in 2004, MSc in Biochemistry in 2006, and PhD in Biochemistry in 2009 from Atatürk University, Turkey. He studied at Stetson University, USA, in 2007-2008 and at the Max Planck Institute of Molecular Cell Biology and Genetics, Germany, in 2009-2010. Dr. Ekinci currently works as a Full Professor of Biochemistry in the Faculty of Agriculture and is the Head of the Enzyme and Microbial Biotechnology Division, Ondokuz Mayıs University, Turkey. He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. Dr. Ekinci serves as the Editor in Chief of four international books and is involved in the Editorial Board of several international journals.",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null},{id:"17",title:"Metabolism",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",isOpenForSubmission:!0,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. 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Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. 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Singh",profilePictureURL:"https://mts.intechopen.com/storage/users/329385/images/system/329385.png",institutionString:"Punjab Technical University",institution:{name:"Punjab Technical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8018",title:"Extracellular Matrix",subtitle:"Developments and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/8018.jpg",slug:"extracellular-matrix-developments-and-therapeutics",publishedDate:"October 27th 2021",editedByType:"Edited by",bookSignature:"Rama Sashank Madhurapantula, Joseph Orgel P.R.O. and Zvi Loewy",hash:"c85e82851e80b40282ff9be99ddf2046",volumeInSeries:23,fullTitle:"Extracellular Matrix - Developments and Therapeutics",editors:[{id:"212416",title:"Dr.",name:"Rama Sashank",middleName:null,surname:"Madhurapantula",slug:"rama-sashank-madhurapantula",fullName:"Rama Sashank Madhurapantula",profilePictureURL:"https://mts.intechopen.com/storage/users/212416/images/system/212416.jpg",institutionString:"Illinois Institute of Technology",institution:{name:"Illinois Institute of Technology",institutionURL:null,country:{name:"United States of America"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"9759",title:"Vitamin E in Health and Disease",subtitle:"Interactions, Diseases and Health Aspects",coverURL:"https://cdn.intechopen.com/books/images_new/9759.jpg",slug:"vitamin-e-in-health-and-disease-interactions-diseases-and-health-aspects",publishedDate:"October 6th 2021",editedByType:"Edited by",bookSignature:"Pınar Erkekoglu and Júlia Scherer Santos",hash:"6c3ddcc13626110de289b57f2516ac8f",volumeInSeries:22,fullTitle:"Vitamin E in Health and Disease - Interactions, Diseases and Health Aspects",editors:[{id:"109978",title:"Prof.",name:"Pınar",middleName:null,surname:"Erkekoğlu",slug:"pinar-erkekoglu",fullName:"Pınar Erkekoğlu",profilePictureURL:"https://mts.intechopen.com/storage/users/109978/images/system/109978.jpg",institutionString:"Hacettepe University",institution:{name:"Hacettepe University",institutionURL:null,country:{name:"Turkey"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Proteomics",value:18,count:4},{group:"subseries",caption:"Metabolism",value:17,count:6},{group:"subseries",caption:"Cell and Molecular Biology",value:14,count:9},{group:"subseries",caption:"Chemical Biology",value:15,count:13}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:8},{group:"publicationYear",caption:"2021",value:2021,count:7},{group:"publicationYear",caption:"2020",value:2020,count:12},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:2}],authors:{paginationCount:148,paginationItems:[{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. 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Fungal infectious illness prevalence and prognosis are determined by the exposure between fungi and host, host immunological state, fungal virulence, and early and accurate diagnosis and treatment. \r\nPatients with both congenital and acquired immunodeficiency are more likely to be infected with opportunistic mycosis. Fungal infectious disease outbreaks are common during the post- disaster rebuilding era, which is characterised by high population density, migration, and poor health and medical conditions.\r\nSystemic or local fungal infection is mainly associated with the fungi directly inhaled or inoculated in the environment during the disaster. The most common fungal infection pathways are human to human (anthropophilic), animal to human (zoophilic), and environment to human (soilophile). Diseases are common as a result of widespread exposure to pathogenic fungus dispersed into the environment. \r\nFungi that are both common and emerging are intertwined. In Southeast Asia, for example, Talaromyces marneffei is an important pathogenic thermally dimorphic fungus that causes systemic mycosis. Widespread fungal infections with complicated and variable clinical manifestations, such as Candida auris infection resistant to several antifungal medicines, Covid-19 associated with Trichoderma, and terbinafine resistant dermatophytosis in India, are among the most serious disorders. \r\nInappropriate local or systemic use of glucocorticoids, as well as their immunosuppressive effects, may lead to changes in fungal infection spectrum and clinical characteristics. Hematogenous candidiasis is a worrisome issue that affects people all over the world, particularly ICU patients. CARD9 deficiency and fungal infection have been major issues in recent years. Invasive aspergillosis is associated with a significant death rate. Special attention should be given to endemic fungal infections, identification of important clinical fungal infections advanced in yeasts, filamentous fungal infections, skin mycobiome and fungal genomes, and immunity to fungal infections.\r\nIn addition, endemic fungal diseases or uncommon fungal infections caused by Mucor irregularis, dermatophytosis, Malassezia, cryptococcosis, chromoblastomycosis, coccidiosis, blastomycosis, histoplasmosis, sporotrichosis, and other fungi, should be monitored. \r\nThis topic includes the research progress on the etiology and pathogenesis of fungal infections, new methods of isolation and identification, rapid detection, drug sensitivity testing, new antifungal drugs, schemes and case series reports. 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Many parasitic diseases are classified as neglected tropical diseases because they have received minimal funding over recent years and, in many cases, are under-reported despite the critical role they play in morbidity and mortality among human and animal hosts. The current topic, Parasitic Infectious Diseases, in the Infectious Diseases Series aims to publish studies on the systematics, epidemiology, molecular biology, genomics, pathogenesis, genetics, and clinical significance of parasitic diseases from blood borne to intestinal parasites as well as zoonotic parasites. We hope to cover all aspects of parasitic diseases to provide current and relevant research data on these very important diseases. In the current atmosphere of the Coronavirus pandemic, communities around the world, particularly those in different underdeveloped areas, are faced with the growing challenges of the high burden of parasitic diseases. At the same time, they are faced with the Covid-19 pandemic leading to what some authors have called potential syndemics that might worsen the outcome of such infections. Therefore, it is important to conduct studies that examine parasitic infections in the context of the coronavirus pandemic for the benefit of all communities to help foster more informed decisions for the betterment of human and animal health.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",keywords:"Blood Borne Parasites, Intestinal Parasites, Protozoa, Helminths, Arthropods, Water Born Parasites, Epidemiology, Molecular Biology, Systematics, Genomics, Proteomics, Ecology"},{id:"6",title:"Viral Infectious Diseases",scope:"The Viral Infectious Diseases Book Series aims to provide a comprehensive overview of recent research trends and discoveries in various viral infectious diseases emerging around the globe. The emergence of any viral disease is hard to anticipate, which often contributes to death. A viral disease can be defined as an infectious disease that has recently appeared within a population or exists in nature with the rapid expansion of incident or geographic range. 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Dr. Şentürk currently works as an professor of Biochemistry in the Department of Basic Pharmacy Sciences, Faculty of Pharmacy, Ağri Ibrahim Cecen University, Turkey. \nDr. Şentürk published over 120 scientific papers, reviews, and book chapters and presented several conferences to scientists. \nHis research interests span enzyme inhibitor or activator, protein expression, purification and characterization, drug design and synthesis, toxicology, and pharmacology. \nHis research work has focused on neurodegenerative diseases and cancer treatment. 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Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"July 5th, 2022",hasOnlineFirst:!0,numberOfOpenTopics:4,numberOfPublishedChapters:320,numberOfPublishedBooks:32,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"14",title:"Cell and Molecular Biology",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression",scope:"The Cell and Molecular Biology topic within the IntechOpen Biochemistry Series aims to rapidly publish contributions on all aspects of cell and molecular biology, including aspects related to biochemical and genetic research (not only in humans but all living beings). We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",annualVolume:11411,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,editorialBoard:[{id:"219081",title:"Dr.",name:"Abdulsamed",middleName:null,surname:"Kükürt",fullName:"Abdulsamed Kükürt",profilePictureURL:"https://mts.intechopen.com/storage/users/219081/images/system/219081.png",institutionString:null,institution:{name:"Kafkas University",institutionURL:null,country:{name:"Turkey"}}},{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},{id:"17",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://mts.intechopen.com/storage/users/81926/images/system/81926.png",institutionString:"Suez Canal University",institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/38853",hash:"",query:{},params:{id:"38853"},fullPath:"/chapters/38853",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()