The estimates for the characteristic time of the main energy transfer processes described in the Section 2.3.
\\n\\n
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\\n\\nLaunching 2021
\\n\\nArtificial Intelligence, ISSN 2633-1403
\\n\\nVeterinary Medicine and Science, ISSN 2632-0517
\\n\\nBiochemistry, ISSN 2632-0983
\\n\\nBiomedical Engineering, ISSN 2631-5343
\\n\\nInfectious Diseases, ISSN 2631-6188
\\n\\nPhysiology (Coming Soon)
\\n\\nDentistry (Coming Soon)
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\\n\\nNote: Edited in October 2021
\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/132"}},components:[{type:"htmlEditorComponent",content:'With the desire to make book publishing more relevant for the digital age and offer innovative Open Access publishing options, we are thrilled to announce the launch of our new publishing format: IntechOpen Book Series.
\n\nDesigned to cover fast-moving research fields in rapidly expanding areas, our Book Series feature a Topic structure allowing us to present the most relevant sub-disciplines. Book Series are headed by Series Editors, and a team of Topic Editors supported by international Editorial Board members. Topics are always open for submissions, with an Annual Volume published each calendar year.
\n\nAfter a robust peer-review process, accepted works are published quickly, thanks to Online First, ensuring research is made available to the scientific community without delay.
\n\nOur innovative Book Series format brings you:
\n\nIntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\n\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
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\n\nBiomedical Engineering, ISSN 2631-5343
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\n\nDentistry (Coming Soon)
\n\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\n\nNote: Edited in October 2021
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The investigation of crystalline solids is a growing need in the electronics industry. Micro and nano transistors require an in-depth understanding of semiconductors of different groups. Amorphous materials, on the other hand, as non-equilibrium materials are widely applied in sensors and other medical and industrial applications. Superconducting magnets, composite materials, lasers, and many more applications are integral parts of our daily lives. Superfluids, liquid crystals, and polymers are undergoing active research throughout the world. Hence profound information on the nature and application of various materials is in demand. This book bestows on the reader a deep knowledge of physics behind the concepts, perspectives, characteristic properties, and prospects. The book was constructed using 10 contributions from experts in diversified fields of condensed matter and material physics and its technology from over 15 research institutes across the globe.",isbn:"978-1-83880-555-5",printIsbn:"978-1-83880-554-8",pdfIsbn:"978-1-83880-327-8",doi:"10.5772/intechopen.85564",price:119,priceEur:129,priceUsd:155,slug:"advances-in-condensed-matter-and-materials-physics-rudimentary-research-to-topical-technology",numberOfPages:200,isOpenForSubmission:!1,isSalesforceBook:!1,hash:"3aebac680de7d3af200eadd0a0b2f737",bookSignature:"Jagannathan Thirumalai and Sergey Ivanovich Pokutnyi",publishedDate:"May 6th 2020",coverURL:"https://cdn.intechopen.com/books/images_new/9414.jpg",keywords:null,numberOfDownloads:6681,numberOfWosCitations:0,numberOfCrossrefCitations:9,numberOfDimensionsCitations:15,numberOfTotalCitations:24,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 2nd 2019",dateEndSecondStepPublish:"October 8th 2019",dateEndThirdStepPublish:"December 7th 2019",dateEndFourthStepPublish:"February 25th 2020",dateEndFifthStepPublish:"April 25th 2020",remainingDaysToSecondStep:"3 years",secondStepPassed:!0,currentStepOfPublishingProcess:5,editedByType:"Edited by",kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"99242",title:"Prof.",name:"Jagannathan",middleName:null,surname:"Thirumalai",slug:"jagannathan-thirumalai",fullName:"Jagannathan Thirumalai",profilePictureURL:"https://mts.intechopen.com/storage/users/99242/images/system/99242.png",biography:"Dr. J. Thirumalai received his Ph.D. from Alagappa University, Karaikudi in 2010. He was also awarded the Post-doctoral Fellowship from Pohang University of Science and Technology (POSTECH), Republic of Korea, in 2013. He worked as Assistant Professor of Physics, B.S. Abdur Rahman University, Chennai, India (2011 to 2016). Currently, he is working as Senior Assistant Professor of Physics, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam (T.N.), India. His research interests focus on luminescence, self-assembled nanomaterials, and thin film opto-electronic devices. He has published more than 60 SCOPUS/ISI indexed papers and 11 book chapters, edited 4 books and member in several national and international societies like RSC, OSA, etc. Currently, he served as a principal investigator for a funded project towards the application of luminescence based thin film opto-electronic devices, funded by the Science and Engineering Research Board (SERB), India. 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From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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Hashim"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"54677",title:"Enhancing the Greenhouse Gas Conversion Efficiency in Microwave Discharges by Power Modulation",doi:"10.5772/67875",slug:"enhancing-the-greenhouse-gas-conversion-efficiency-in-microwave-discharges-by-power-modulation",body:'\nThe basic green energy activities include reduction of the greenhouse gas emission, in particular the emission of CO2, development and implementation of the green energy sources, as well as the local conversion, reforming and utilization of the greenhouse gases (see Figure 1). The last activities are represented by the well‐known carbon capture and storage (CCS) and carbon capture and utilization (CCU) techniques being under intensive development during the last decades [1, 2]. Among the approaches suitable for local conversion of the greenhouse gases, and in particular CO2, the plasma‐assisted conversion based on decomposition of the molecules of interest in the low‐temperature discharges is of a special interest. The efficiency of such a conversion depends on various factors, such as the proper choice of plasma source, as well as its careful optimization. The plasma source optimization in this case implies tuning the fundamental physical parameters, such as the electron density and temperature, the vibrational excitation of the molecules of interest, the discharge pressure, the residence time of the molecules in the active zone, etc. For successful optimization detailed plasma source characterization is required, preferably using nonintrusive
The role of plasma‐assisted CO2 conversion among the other green energy activities.
Since the end of 1970s the utilization of low‐temperature discharges is considered as a rather promising approach for molecular gas decomposition [5, 6], which can be applied for conversion of CO2 as well as the other greenhouse gases. It is well‐known that the low‐temperature plasma discharges represent unique media where selectivity toward the various plasma chemical processes can be realized [6, 7]. This is a result of the high level of nonequilibrium between the main degrees of excitation in the discharge, such as electronic, translational, rotational, and vibrational ones. At the same time, as also shown previously, the vibrational excitation is particularly crucial for molecular dissociation in many cases [7, 8]. A high degree of nonequilibrium is especially pronounced in the microwave (MW) discharges where 90-95% of the applied electro‐magnetic field energy is absorbed by plasma electrons further transmitting their energy to the vibrationally excited molecular states, while the gas temperature remains relatively low, typically about a thousand degree K or lower [6, 9].
\nA decisive role of the asymmetric vibrational mode of CO2 (see below) for its efficient plasma‐based decomposition has also been deduced based on the past research. The mentioned efficiency is defined, however, by several mechanisms working along with the mentioned vibrational excitation, such as: (i) fast excitation of the CO2 asymmetric mode by plasma electrons as a result of the electron‐vibrational (e‐V) energy transfer, (ii) several orders of magnitude faster vibrational‐vibrational (V‐V) energy transfer, providing fast vibrational excitation of CO2 molecules up to the dissociative level (≈5.5 eV), and (iii) rather slow vibrational‐translational (V‐T) transfer. The fast V‐V process facilitates so‐called vibrational “ladder climbing,” i.e., fast excitation of the highly excited vibrational states of CO2 result in its dissociation [6]. The low gas temperature in the discharge, on the other hand, is important for keeping the V‐T energy transfer at a relatively low level, thus sustaining the vibrational excitation for a longer time. This time may vary from few µs to tens of ms, depending on the discharge parameters, as discussed below in this Chapter. As a result, the energy efficiency (defined below) up to 0.8 in the subsonic [10] and about 0.9 in a supersonic [11] gas flows may be achieved in the microwave plasmas. The nonequilibrium discharge conditions can also be effectively realized in the other discharges, for example in a gliding arc plasma (GAP) as a result of the arc length extension resulting in gas cooling [12].
\nNowadays, the scientific interest to the greenhouse gas decomposition in the low‐temperature discharges is growing. This is related to both low‐pressure and high‐pressure (atmospheric) cases. Apart from the general green energy trends, the growing interest is particularly based on the fast development of the scientific tools targeted to advanced nonintrusive discharge diagnostics as well as the powerful data processing systems, which are crucial for discharge kinetic modeling.
\nTalking in particular about the MW plasma sources we should note that along with their general effectiveness for molecular gas decomposition, the
In spite of the numerous works devoted to plasma‐based greenhouse gas conversion in the MW discharges [11, 14, 15], dielectric barrier discharges (DBDs) [16–21], GAPs [22–24], radiofrequency (RF) discharges [25], as well as in different discharges using plasma catalysis [14, 26–28], the effects of CO2 conversion and power modulation are still far from being understood fully. The number of the research works in this domain is also very limited, mainly by the theoretical speculations of the usability of pulsed plasma regime in MW and DBD cases [29], as well as by few experimental evidences of the pulsed discharge, benefits so far only shown for DBD case [17–19]. At the same time, the domain of the power modulation in MW low‐temperature plasmas, representing one of the most promising nonequilibrium media for selective plasma chemistry, remains mainly unexplored. This chapter addresses the mentioned gap by demonstrating the importance of power modulation in the kHz range for improving the CO2 decomposition in microwave discharges.
\nThe structure of CO2 molecule is schematically shown in Figure 2. This triatomic molecule possesses three vibrational modes, namely the symmetric stretch mode (with the main vibrational energy gap equal to about 0.17 eV), the double‐degenerated bending mode (0.083 eV), and the asymmetric mode (0.291 eV). The different energy gaps for the listed modes define the differences in the energy transfer rates between them and the translational particle motion (V‐T transfer), as discussed in Section 2.3. The vibrational excitation states for CO2 are normally denoted through three vibrational quantum numbers corresponding to symmetric (v1), bending (v2), and asymmetric (v3) vibrational modes.
\nOne of the possible pathways for CO2 decomposition is the electron impact dissociation:
\nHowever, as a result of recombination of atomic O with vibrationally excited CO2 (denoted as CO2vibr) another CO molecule can be produced [6], and an effective energy per one produced CO molecule becomes ≈ 2.9 eV:
\nAs mentioned earlier, the actual CO2 dissociation strongly relies of the e‐V energy transfer resulting in the excitation of the lowest vibrational states of CO2 molecule, e.g.:
\nwhere the parenthesized numbers represent the vibrational quantum numbers mentioned above. The excitation of higher vibrational states is occurring at the same time as a result of the fast energy transfer between the different vibrational states within the same vibrational mode (i.e., V‐V transfer), e.g.:
\nThe vibrational transfer between the
In addition to the above‐mentioned reactions, the various two‐ or three‐body collisional processes leading to O atom recombination (some of them are exothermic) may also be important for the total energy balance in the O‐containing discharges. These processes may involve both ground state (3P) as well as the first excited (1D) state of atomic oxygen, as well as the other states [31]. Among the typical examples are:
\nThe CO2 conversion efficiency in the discharge (as a result of CO2 dissociation following by O− recombination) is usually determined as a ratio between the densities of the decomposed CO2 molecules to their initial density:
\nwhere \n
At the same time, the energy efficiency \n
In a general case, both \n
The specific energy can be usually determined via the power
where
In molecular plasma, the interaction between translational, rotational, and vibrational degrees of freedom, involving also the plasma electrons, leads to formation of the numerous energy exchange (relaxation) channels responsible for excitation or depletion of the corresponding energy subsystems. Some of these channels are especially important for understanding of the plasma‐assisted CO2 decomposition, due to the crucial role of the vibrational excitation in this process. Among them are the translational‐translational (T‐T), rotational‐translational (R‐T), as well as the e‐V, V‐V, and V‐T channels mentioned above. The physical nature as well as the corresponding characteristic times for these energy relaxation mechanisms are described below.
\nThe T‐T energy transfer is responsible for gas thermalization (i.e., establishing kinetic gas temperature). The characteristic time of this process can be estimated via the mean free path of the gas atoms and molecules and their mean velocity, being typically in the μs range for the gas pressure of several Torr and gas temperature of several hundred degree K. The R‐T process, on the other hand, shows how fast the rotational degrees of freedom in molecular gas will be in the equilibrium with the translational (kinetic) motion of the gas particles. In order to estimate the characteristic time of this process, the model proposed by Parker [32] can be used (see Ref. [6] for further details). According to this model, the characteristic time of the R‐T process can be determined based on the number of collisions necessary for equilibrium between the rotational and translational degrees of freedom in discharge. The estimation of this time (for variety of gases) at about 20 Torr of the gas pressure leads to the values \n
For the efficient plasma‐based molecular decomposition in the most low‐temperature discharge cases, an efficient transfer of the electron energy to the vibrational degrees of freedom of the corresponding molecules is critical. In the case of CO2, the characteristic time of this process can be determined through the corresponding rate coefficient \n
where \n
The rate of establishing vibrational equilibrium within each vibrational mode of a certain molecule is defined by the V‐V energy transfer and the corresponding characteristic time. In the case of CO2 molecule, the V‐V rates are roughly comparable for all three vibrational modes (see Figure 2) having the differences within the order of magnitude [30]. A rough estimation of the V‐V characteristic time for the asymmetric mode of CO2 gives
\nwhere \n
While the plasma electrons transfer their energy to the CO2 vibrational modes, the vibrational excitation might be suppressed by the translational motion of gas particles, as a result of V‐T energy transfer. This effect should be considered harmful for the efficient CO2 decomposition, taking into account the importance of vibrational excitation in this case. The characteristic time of the V‐T process, \n
where \n
The role of the gas temperature in the V‐T energy transfer is additionally illustrated in Figure 3, where the \n
The rough estimates for the characteristic times corresponding to the main energy exchange processes described in this section are summarized in Table 1.
\nProcess | \nCharacteristic time (at 20 Torr) | \nComment | \nSource | \n
---|---|---|---|
T‐T | \n<0.1 µs | \n[36] | \n|
R‐T | \n<0.1 µs | \n[6, 32] ** | \n|
e‐V * | \n∼10 µs | \n[34, 37] ** | \n|
V‐V | \n<0.01 µs | \n[6] | \n|
V‐T (bending) | \n150 µs | \n[6, 35] ** | \n|
V‐T (bending) | \n15 µs | \n[6, 35] ** | \n
The estimates for the characteristic time of the main energy transfer processes described in the Section 2.3.
* Done for the symmetric stretch and bending CO2 vibration modes: (1,0,0) and (0,1,0).
** In case of multiple literature sources the results are averaged.
The structure of CO2 molecule showing three vibrational modes. The first quantum oscillator gap energies for each mode are parenthesized.
The characteristic time of V‐T relaxation as a function of gas temperature calculated (based on Ref. [
The pulsed microwave discharges (surfaguide‐type) have been used as the plasma sources in this study. In these discharges, plasma is sustained by an electromagnetic wave with the filling frequency in the microwave range (either 0.915 or 2.45 GHz in our case) coming out of two orifices in the surfaguide [38], as schematically shown in Figure 4. In our case, the electromagnetic radiation has been modulated by the nearly square pulses with the repetition frequency ranging from 0.5 to 30 kHz. The duty ratio of the pulses was kept equal to 50%. The discharges were sustained in the quartz tubes (14 mm in diameter and 31 cm long) in which the gas flow has been regulated by digital mass flow controllers. Each quartz tube was additionally cooled by a flow of Si oil (∼2 l per minute) having the temperature of about 5°C (in the 0.915‐GHz system) or 10°C (in the 2.45‐GHz system). The total gas flow rate has been varied in the range from about 0.08–2.7 slm. Both pure CO2 and CO2 + 5% N2 gas mixtures have been utilized. The time‐averaged power applied to the discharge was always fixed at the level of either 0.4 kW (2.45‐GHz system) or 1.0 kW (0.915‐GHz system). The reflected electromagnetic radiation has been minimized in each plasma source using three‐stub automatic tuning systems. The reflected power was always around 5% for 2.45‐GHz system, and totally negligible (presumably <1%) in the case of 0.915‐GHz system. Further experimental details related to the mentioned microwave systems can be found elsewhere [15, 39]. The diagnostics of the microwave discharge has been undertaken both in the discharge active zone (i.e., near the waveguide excitation point) and in the postdischarge (at about 40 cm below the plasma excitation point), as described in the following section.
\nThe illustration of the surfaguide microwave discharge system. The modulation of the initial electromagnetic wave (filling frequency of either 2.45 GHz or 0.915 GHz) by the kHz pulses is shown schematically.
Optical emission spectroscopy (OES), including emission actinometry and ro‐vibrational analysis, has been applied for characterization of the CO2 conversion efficiency as well as the gas temperature in the discharge zone. Gas temperature has been also monitored by a thermocouple at the beginning of the postdischarge (i.e., about 17 cm below the excitation point). The rotational band from the CO Angstrom system corresponding to the B1Σ+ (v’ = 0) – A 1Π (v” = 1) optical transition has been used for the rotational temperature determination in the discharge. Gas temperature has been assumed equal to rotational temperature of CO molecules, based on the analysis undertaken elsewhere [15, 40].
\nIn order to determine the CO2 conversion efficiency in the discharge area, the optical actinometry method based on the addition of a small amount of molecular nitrogen (5% in our case) to the CO2 gas has been applied. This method is based on the measurement of the emission lines ratio between the unknown species in the discharge (CO) and the known admixture (N2). As a result, assuming corona excitation in the discharge volume, the absolute density of species of interest can be determined, as performed recently by Silva et al. [15]. The relative error of this method is supposed to be <10%, based on our estimations.
\nAn Andor Shamrock‐750 monochromator having 0.75 m of focal length and equipped with an Andor iStar‐740 series intensified charge coupled device (ICCD) camera has been used for spectral acquisition in this work. The spectral resolution during the measurements was equal to about 0.05 nm (at 500 nm). The accumulative ICCD mode of the spectral acquisition has been used for all the measurements.
\nIn the case of 2.45‐GHz plasma source, the products of CO2 dissociation (such as CO ground state molecules and O ground state atoms) have been detected in the postdischarge area using a two‐photon absorption laser‐induced fluorescence (TALIF) technique [41]. This technique is based on the laser excitation of the molecular or atomic species in the discharge or postdischarge by a simultaneous absorption of two laser photons, following by a spontaneous emission of light (fluorescence) corresponding to an optical transition between the upper (excited) state and the intermediate state. The spectral schemes using laser excitation at 225.6 nm (for O atom) or 230.07 nm (for CO molecule) following by the fluorescence at 844.7 nm (O) or 483.5 nm (CO) have been applied in this work [42, 43]. The summary of the corresponding spectral transitions used for O and CO detection by TALIF technique is given in Table 2. A Sirah dye laser working at 10 Hz of repetition rate and having 5 ns of the pulse duration pumped by a Spectra Physics YAG:Nd laser has been utilized for TALIF diagnostics. A Coumarin 450 dye solution (in ethanol) has been used in the dye laser. During the measurements, the laser pulses were not synchronized with the plasma pulses, thus giving the time‐averaged values of the corresponding ground state densities in the postdischarge. The provided averaged values are supposed to reflect an overall system performance regarding CO2 conversion, being especially interesting from the applications point of view.
\nSpectral parameter | \nValues | \n|
---|---|---|
Specie of interest | \nO [42] | \nCO [43] | \n
Lower state | \nO(3P2) | \nCO(X1Σ+) | \n
Upper (laser‐excited) state | \nO(5P) | \nCO(B1Σ+) | \n
Energy gap | \n10.74 eV | \n10.78 eV | \n
Laser excitation wavelength | \n225.6 nm | \n230.07 nm | \n
Fluorescence wavelength | \n844.68 nm | \n483.50 nm | \n
Bandpass filter used | \n840 nm | \n480 nm | \n
The spectral transitions for TALIF diagnostics of the ground state O and CO in the postdischarge of the 2.45 GHz MW source used in this work.
Another type of diagnostics applied to the 0.915‐GHz MW discharge was a gas chromatography (GC) technique. The GC technique is based on the different gas elution time on the analyzer walls, representing
CO2 decomposition in a flowing gas discharge can often be noticed visually by changing the color of the discharge before and after the excitation point (waveguide position) in the discharge tube. This corresponds to the formation of CO molecules in the so‐called discharge “active zone” (being approximately 6 cm wide in our case, according to Ref. [15]), where the decomposition process is mainly taking place. In the case of CO, the observed emission corresponds to the CO Angstrom band (CO(B1Σ+) – CO(A 1Π)) and partially to the third positive (3P) CO band (CO(b3Σ+)–CO(a 3Π)) [44], as shown in Figure 5. In the CO2‐N2 gas mixture, these effects are qualitatively similar to the pure CO2 case. The O atom emission triplet around 777 nm is also clear in both cases, whereas the N atom emission around 821 nm is rather negligible in the case of N2 admixture, as shown in Figure 5(b).
\nTime‐averaged emission spectra measured in the 2.45‐GHz MW discharge at two different special positions for pure CO2 (a) and CO2 + 30%N2 mixture (b). Gas pressure is about 2 Torr. Bold arrows indicate the top and bottom measurement points. The spectral correction is applied in both cases. The corresponding discharge photographs are shown on the left side.
The emission spectra corresponding to the CO2‐5%N2 gas mixture and taken in a wider spectral range are presented in Figure 6. As we can see that at higher gas pressure, a much stronger contribution of the N2 and N2+ molecular bands such as N2 second positive band (N2(C 3Πu)‐N2(B 3Πg)), N2+ first negative band (N2+(B2Σu+)‐N2+(X2Σg+)), and N2 first positive band (N2(B 3Πg)‐N2(A3Σu+)) is evident. The contribution of the CO Angstrom ro‐vibrational band is rather strong in both cases. The structure of all the observed CO rotational bands is different at high and low pulse repetition frequency. At low frequency, they are more elongated toward the shorted wavelengths corresponding to higher gas temperature in the discharge, confirmed by calculations, whereas the gas temperature is essentially lower at high frequency.
\nTime‐averaged emission spectra taken in the 2.45‐GHz MW discharge at high and low plasma pulse frequency at 1 Torr (a) and ∼20 Torr (b) in the CO2 + 5%N2 gas mixture. No spectral correction is applied.
In addition, the low pressure spectra possess much more pronounced continuum band in the 400–600 nm range (Figure 6(a)). Such a strong contribution of the continuum band is likely related to the chemiluminescence induced by the CO–O recombination process, as also detected in Ref. [15] and analyzed in Refs. [45, 46].
\nThe main results on the CO2 conversion efficiency (χ) and energy efficiency (η) are described in this section aiming at comparison of two mentioned MW plasma sources. The obtained data are presented as a function of the plasma pulse repetition frequency (f) aiming at the clarification of namely the effect of plasma power modulation on the CO2 conversion.
\nThe relative density of the CO ground state molecules detected by the TALIF technique in the postdischarge of the considered MW plasma sources is shown in Figure 7. The beneficial effect of power modulation is evident in this case leading to a fourfold increase in the CO density (so the corresponding CO2 conversion efficiency) at low pulse frequency. The maxima of χ are observed at about 0.5 kHz (for the 2.45‐GHz system) and at about 0.8 kHz (for the 0.915‐GHz system). Apart from the different positions of these maxima, in the 2.45‐GHz case, maximum appears to be much narrower than that detected in the 0.915‐GHz discharge case.
\n(a) Normalized density of CO and O in the postdischarge as a function of the plasma pulse repetition frequency (f) measured by the TALIF technique in the 2.45‐GHz MW system. (b) The relative density of CO and O2 molecules measured in the 0.915‐GHz MW system by GC. The points of measurement are indicated below.
As also clear from Figure 7(a), the O production is strongly suppressed at low pulse frequencies (below 1 kHz), when the dissociation of CO2 reaches its maximum. At the same time, the O2 density also has a maximum at low frequency (detected in the 0.915‐GHz system though), pointing out on the efficient O‐recombination process under these conditions (see Figure 7(b)). Note that the CO and O2 densities determined by GC are not different by a factor of two in this case, due to the fact that calibration of our GC system response was not performed. Finally, the CO density decay slopes measured in two different plasma sources reveal rather similar behaviors.
\nThe data on the CO2 conversion efficiency as a function of the plasma pulse frequency determined by optical actinometry in the 2.45‐GHz system (in the discharge area) and by GC in the 0.915‐GHz system (in the postdischarge area) are compared in Figure 8. As we can see that there is a fourfold difference between the observed maximum values of χ in these two cases. This is related to the power differences between the considered plasma sources as well as to the fact that the actinometry measurements were performed in the center of the discharge tube where the CO2 conversion is not yet fully accomplished. After the corresponding corrections, the obtained conversion efficiency values appear to be very similar for both systems. The energy efficiency values corresponding to the observed χ maxima in this case are 0.14 and 0.16, respectively. In addition, in the case of Figure 8(a), the CO2 conversion curve does not reveal a clear maximum at low plasma pulse frequency, which is only present in the 0.915‐GHz case (Figure 8(b)). This phenomenon might be related to the gas displacements in the discharge tube, as well as to the differences in the discharge geometry. The physical reasons for the observed behavior of χ and CO production in the postdischarge are discussed in the following section.
\nThe CO2 conversion efficiency χ as a function of the plasma pulse repetition frequency (f) measured in the discharge region of the 2.45‐GHz MW system by optical actinometry (a), and in the postdischarge region of the 0.915‐GHz MW system by GC (b). The energy efficiency corresponding to the maximum
An interesting behavior of the gas temperature in the discharge tube along the gas flow direction has also been detected, as a result of combination of ro‐vibrational spectral analysis and thermocouple measurements. The corresponding results are shown in Figure 9. The gas temperature in the discharge zone has been measured in this case using the rotational band of CO, following by the Boltzmann plot approximation for the obtained rotational populations, as described elsewhere [15, 47]. As a result, the error bars in Figure 9(a) correspond to the error of Boltzmann fit applied to the rotational distributions for each data point.
\nThe evolution of the gas temperature as a function of plasma pulse repetition frequency (f) measured in the discharge area (a) and at the end of the discharge tube (b) in the 2.45‐GHz MW system, as well as at the end of the discharge tube in the 0.915‐GHz MW system (c). Pure CO2 gas is used. The points of measurement are indicated below.
As we can see that a trend for CO2 conversion efficiency shown in Figure 8(a) clearly correlates with the one obtained for the gas temperature in the discharge zone, shown in Figure 9(a) for the 2.45‐GHz MW source (the point of measurements is indicated by a dot). At the same time, at the end of the discharge tube (indicated by a square), the temperature behavior is roughly opposite. In this case, the gas temperature is somewhat reduced at low plasma pulse frequencies (see Figures 9(b) and 9(c)). The observed temperature reduction is especially clear in the case of 0.915‐GHz plasma source, when the gas temperature drops by nearly 200 K at low pulse frequency. In this case, we can talk about the existence of a temperature gradient established between the excitation point in the discharge and the end of the discharge tube (beginning of the postdischarge). Apparently, this gradient is much larger at low pulse repetition frequencies (about 600 K in our case, based on Figure 9(a) and 9(b)) compared to the high frequency (only about 300 K). Based on the data shown in Figure 9(c), one can speculate that this effect might be also similar in the 0.915‐GHz plasma source case (for which the
Several physical effects should be taken into account for proper explanation of the observed CO2 conversion efficiency as a function of the plasma pulse frequency, as well as its relation to the measured gas temperature, both in the discharge and the postdischarge areas. Among the main physical phenomena responsible for the efficient molecular decomposition, the vibrational excitation of CO2 molecules, the gas displacement in the tube, as well as V‐V and V‐T relaxation processes in the discharge should be considered. The CO rotational temperature, at the same time, being determined using a CO rotational emission band, is supposed to be an indicator for the other important processes in the discharge, such as V‐T energy transfer. This temperature is supposed to be in equilibrium with the kinetic gas temperature rather quickly (µs scale) as a result of the fast R‐T transfer, according to our estimations (see Table 1), giving nearly instantaneous image of the gas heating.
\nAccording to our estimations, the plasma electrons transfer their energy to the (lowest) CO2 vibrational states during the time \n
The gas velocity (i.e., gas displacement) in the tube is another key parameter defining the residence time for CO2 molecules in the discharge active zone (∼6 cm wide in our case). The rough estimations for the gas velocity based on the ideal gas low give the values of about 40 m/s in the 2.45‐GHz source case (at 20 Torr, 1100 K, and 2.7 slm of a total gas flow), and about 30 m/s in the 0.915‐GHz case (at 30 Torr, 1600 K [48], and 2 slm of a total gas flow).
\nTaking into account the above‐mentioned estimations, the observed processes along the gas flow direction can be explained as follow. At first, in the discharge zone (the excitation point), the CO2 vibrational excitation is initiated by the fast e‐V energy transfer. The e‐T and T‐T energy exchange channels, at the same time, may contribute to the overall gas heating. In addition, the gas heating due to the V‐T transfer should also occur, which is supposed to be more efficient at longer plasma off‐times (i.e., at low frequencies). Even though the V‐T characteristic time is rather short according to our estimations (∼15 µs at 1000 K), its contribution at lower pulse repetition frequency is supposed to be more pronounced, likely resulting in the increase of gas temperature at low frequency measured in our case (see Figure 9(a)). Note that the gas temperature has been determined in this work based on the time‐average spectral data and the time‐resolved measurements may be necessary for a full clarification of the temperature evolution. The additional experiments [49] indicate that the vibrational temperature of the N2(X) ground state molecules in the active zone decays rapidly under the increase of the pulse repetition frequency, following the trends obtained for CO density (Figure 7(a)) and CO2 conversion (Figure 8(a)). Rather fast nonresonant V‐V’ energy exchange taking place between N2 and CO2 (see Ref. [50] and refs therein) leads to similar expectations for the CO2 vibrational temperature as well. This leads to a conclusion that vibrational excitation is the main reason for higher CO2 dissociation at low pulse frequency, in spite of the fact that the V‐T transfer is also enhanced in this case (gas temperature increase is observed). A gradual decay in the CO2 dissociation (Figure 8) leading to a weaker CO production (Figure 7) at high frequencies is most probably related to a less efficient e‐V transfer at shorter plasma pulse durations. The top estimations of the e‐V transfer time in our case correspond to the pulse frequency of about 5 kHz, only roughly correlating with the obtained data still requiring final clarification first of all based on the precise measurements of the electron density in the discharge active zone.
\nThe presence of maximum in the frequency dependences of
We should note that at lower pulse frequencies (or higher gas flows) one may expect a significant drop in the CO2 decomposition, as the fast gas displacement limit will be achieved and some portions of the passing gas will remain untreated by plasma. On the other hand, at higher pulse frequencies, as observed in our case, a considerable drop in the CO2 conversion should be likely explained by a combination of several factors, such as (i) a decrease of the e‐V transfer contribution at shorter pulse durations, (ii) a decrease of the role of dissociative recombination of CO2+ (via the reaction: e + CO2+ → CO + O, see Ref. [29]) in this frequency range, as suggested by Silva et al. [49], (iii) decomposition of CO molecules in the active zone when residence time is too long. The third argument, however, is supposed to play a minor role, due to the synchronous changes of both CO and O2 densities observed in the postdischarge detected by GC, as shown in Figure 7(b).
\nFinally, some attention should also be given to the gas temperature differences in the excitation point and at the beginning of the postdischarge, as well as to the corresponding temperature gradient between these points. At low plasma pulse frequency, the high values of both gas temperature and CO2 conversion are observed, whereas the O ground state density reaches its minimum. The gas temperature at the beginning of the postdischarge is rather low in this case, resulting in a high temperature gradient between the tube center and its end. At high frequency, on the other hand, CO2 conversion drops several times, along with the CO density, measured in the postdischarge. The O ground state density in the postdischarge is roughly 10 times higher in this case (see Figure 7(a)). Also, the gas temperature is getting lower in the discharge area and higher in the postdischarge (comparing to the low frequency case), flattening the mentioned temperature gradient.
\nBased on our experimental data, the observed gas temperature phenomena may be explained by the O atom recombination. Considering two main ways of this recombination, namely the reaction (2) and reactions (5) mentioned above, we can conclude that at low frequency ground state, O gets efficiently recombined either with CO2vibr. or with atomic/molecular oxygen. The additional heat released as a result of (some) recombination processes (along with the e‐T energy transfer) is a probable reason for the gas heating in the discharge area. As a result of the efficient O‐recombination, the delivery of ground state O to the postdischarge is significantly reduced in this case, the corresponding heat release is reduced as well, resulting in a low temperature. On the other hand, at high pulse frequencies CO production drops (partially due to the reduced O‐CO2vibr recombination), letting more O ground state atoms to be formed as a result of electron impact dissociation in the discharge area and to be transported to the postdischarge. The O‐recombination processes, other than O‐CO2vibr one, are still taking place all the way down to the postdischarge, thus “blurring” the hear release along the discharge tube and flattening the temperature gradient between the excitation point and the end of the tube. The O‐O recombination on the termocouple surface might also be an important factor contributing to the observed tempearture elevation in this case.
\nThe given explanation, however, describes the observed temperature behavior only in the first approximation, do not taking into account numerous additional O‐recombination reactions, e.g., those involving excited O states (such as O(1D) state), as well as the processes in which O ions are involved (such as O+ + O2(a) → O2+ + O(3P) or O+ + O− → O(3P) + O(3P), see Ref. [31]), which may additionally contribute to the O ground state density distribution along the discharge tube, as a result of quenching of the excited O states. The reactions (5a) and (5b) mentioned above also correspond to this case. This described temperature effects may still need a further clarifications in the future, based on the kinetic discharge modeling. It is already clear, however, that these effects may play a key role for the future optimization of the plasma‐based CO2 conversion in the microwave gas‐flowing discharges, since by lowering the gas temperature the lifetime of CO2 vibrational excitation might be significantly enhanced, which is favorable for efficient CO2 conversion.
\nIn this section, the most prominent results obtained based on the power modulation in the pulsed microwave plasma considered in this work are compared with the available literature data. The most competitive literature results have been chosen for this purpose, representing microwave, DBD, and gliding arc discharges. The discharges operating with catalysis, i.e., using a plasma‐catalyst synergy, are not considered (except for one example). The corresponding data are summarized in Figure 10.
\nThe optimized values of the CO2 conversion efficiency (
As we can see, the most competitive results are grouping around the diagonal line corresponding to the value of SEI of 2.9 eV/molec, as the virtual limit of the CO2 conversion (when
Considering the other discharge types, the most promising results on the CO2 conversion have been obtained so far in an atmospheric DBD discharge using the effect of power modulation (open square in Figure 10), thus one more time underlining significance of this effect for better plasma‐assisted CO2 conversion. Somewhat lower conversion efficiency has been achieved in an atmospheric GAP case, as studied by Indarto et al. [23] (open circle). On the other hand, two other examples related to the low‐to‐moderate pressure microwave discharges, one representing high conversion efficiency, but rather low energy efficiency attained as a result of applying high SEI [15] (open up‐triangle), and the other representing the well‐known work of Asisov et al. [11] where a supersonic gas flow enabled high energy efficiency (open down‐triangle). These two examples are shown in order to illustrate the well‐known
Based on the obtained experimental results as well as on the comparison with the literature data, it is clear that there is a definite room for further improvement of the CO2 conversion in low‐temperature microwave plasma. It should be noted that the improvements achieved by tuning only the plasma parameters, without changing the energy expenses in the whole system, are implied in this case. The beneficial effect of modulation (i.e., timely interruption) of the electric power delivered to the discharge is already evident based on the results described in this chapter. At the same time, there are still few physical parameters that should be considered critical for the further maximization of the plasma‐assisted CO2 conversion. The main factors influencing these improvements are summarized in Figure 11, and can be subdivided into three following groups:
\nSummary of the critical factors influencing CO2 conversion in microwave flowing gas discharges.
Power‐related parameters
The parameters related to gas mixture and gas dynamics
Plasma catalysis
Among the power‐related parameters, the plasma pulse duty ratio, as well as the gas residence time (related to the gas velocity in the discharge as well as to the gas pumping speed in the whole system), requires deeper investigation. One may expect an essential improvement of the CO2 conversion efficiency as a result of more careful optimization of the gas residence time in the active zone, along with the optimization of the plasma pulse duty ratio, in order to fully utilize the resonant effects related to the relevant energy transfer processes described in this work.
\nThe second group includes the gas mixture control as well as the gas flux optimization including gas expansion effects. The influence of the gas mixture in the microwave plasma has already been studied recently showing a beneficial effect for CO2 decomposition [14]. The optimization of the gas flux dynamics, e.g., via the gas expansion for the sake of lowering kinetic gas temperature, on the other hand, represents a powerful way to control the V‐T transfer rates, and thus the vibrational distributions of the molecules of interest. This work is supposed to be assisted by plasma modeling targeted at clarification of the numerous important kinetic processes.
\nFinally, the plasma catalysis activities are supposed to be especially beneficial since an essential gain in the CO2 conversion efficiency can be achieved in this case. As shown recently [14, 28], the regenerative properties of the Ni‐based catalysts are the microwave plasma combined with their long lifetime [51] enable roughly a twofold increase in the overall CO2 conversion and energy efficiencies. The questions related to the utilization of plasma catalysis for improvements of the CO2 conversion efficiency are discussed in the following chapter.
\nSeveral physical aspects related to the power modulation during the plasma‐assisted conversion of CO2 in the low‐to‐moderate pressure flowing gas microwave discharges are discussed. The beneficial effects of controlling the plasma pulse frequency (in the vicinity of 1 kHz or lower in our case) for increasing the CO2 conversion efficiency are clearly demonstrated.
\nIn particular, it was shown that by tuning the plasma pulse repetition frequency, the CO2 conversion and energy efficiencies can be improved several times. In the 2.45‐GHz plasma system, a fourfold overall improvement has been registered. Based on the estimations of the characteristic time corresponding to the relevant energy transfer processes for the studied pulse frequency range (0.5–30 kHz), it was concluded that the electron‐vibrational as well as vibrational‐translational energy transfer mechanisms are mainly responsible for the optimization of CO2 conversion in a flowing gas microwave discharge. A resonant‐like relation between the characteristic time of the mentioned processes and the plasma pulse‐on time may lead to either high or low CO2 decomposition efficiency, depending on the plasma pulse frequency. The maximum efficiency found so far corresponds to the frequencies of about 0.5–0.8 kHz depending on the studied plasma source.
\nAt the same time, the gas temperature in the discharge active zone (i.e., near the excitation point) is supposed to be strongly influenced by the V‐T and e‐T energy transfer, as well as by the O atoms recombination at low repetition frequencies. Under these conditions at the beginning of the postdischarge, the gas temperature is somewhat reduced, as compared to the high frequency case. At high pulse frequency, the gas temperature in the active zone is getting lower by few hundreds degree K, presumably mainly due to the reduced O recombination (which is an exothermic process), whereas at the end of the discharge tube, it elevates following the O atom density, which is higher in this case. Numerous processes involving O atom kinetics should be studied by modeling, however, before clarifying this question fully.
\nIn addition to the modulated microwave power delivery to the discharge, studied in this work, the other ways of optimization of the MW plasma‐based CO2 conversion are suggested. Among them are the optimizations related to the gas residence time, plasma pulse duty ratio, gas admixture, gas expansion in the discharge tube, and plasma catalysis. The results described in this chapter, combined with the suggested ways for the CO2 conversion improvements are supposed to be useful for the industry‐oriented applications dealing with a local plasma-assisted CO2 conversion.
\nThis study is supported by Belgian Government through the “Pôle d\'Attraction Interuniversitaire” (PAI, P7/34, “Plasma‐Surface Interaction,” PSI). In addition, the partial support of the following projects should be acknowledged: the “REFORGAS GreenWin” project, grant No. 7267, (for N.B., G.C., T.G.), as well as the Portuguese FCT, under the projects UID/FIS/50010/2013 and PTDC/FIS‐PLA/1420/2014 (for T.S.).
\nIron deficiency is the most common nutritional deficiency across the world and an important public health problem, particularly in developing countries [1]. Anemia, defined as a low hemoglobin concentration, is a public health problem that affects low-, middle-, and high-income countries, having significant adverse health consequences, as well as adverse impacts not only to the health of citizens, but also to the socio-economic development [2]. The high prevalence of iron deficiency anemia in developing countries most often is attributed to nutritional deficiencies worsened by chronic blood loss due to parasitic infections and malaria. In the industrialized nations, the most common cause of iron deficiency with or without anemia is insufficient dietary iron [3].
Approximately 50% of cases of anemia are considered to be an iron deficiency, but the proportion probably varies among population groups and in different areas, according to the local conditions [2]. Unfortified complementary foods particularly have a low iron content, iron deficiency, also iron deficiency anemia (IDA) are consequently major public health problems in infants and young children, especially in poor populations [4].
Anemia resulting from iron deficiency adversely affects cognitive and motor development, causes fatigue and low productivity [2]. Iron plays a role in various essential physiological functions, such as oxygen transport, gene regulation, DNA synthesis, DNA repair, and brain function [5]. Iron serves important functions in biochemical processes including the development of the central nervous system, and it is essential to neural myelination, neurotransmitter function, neuronal energy metabolism and neurite differentiation [6].
Many studies have shown an association between iron deficiency anemia and poor neurodevelopment in infants that lasts beyond the period of deficiency [6]. This article aims to explain iron metabolism in children, also discuss the role of hematologic and biochemical parameters for screening and diagnosis of iron deficiency anemia (IDA) in children.
Hemoglobin levels at birth are normally quite high and primarily consist of fetal hemoglobin (HbF or α2γ2), which comprises 80–90% of the total hemoglobin synthesized, gradually decreasing to <1% by 10 months of age in normal infants. The switch from hemoglobin F to adult hemoglobin (HbA or α2β2) begins around 12 weeks of gestation, although the production of hemoglobin A occurs in the bone marrow where it remains throughout the life [7].
Iron requirements in late infancy are higher than during any other period in life due to rapid growth. A unique feature of human iron metabolism is the absence of an excretory pathway and regulation of iron absorption is very important for homeostasis [4]. At birth, most of the body iron is found in the blood hemoglobin, but a term, healthy, normal birth weight infant also has some iron stores, appropriate to about 25% of the total body iron [8].
Knowledge of iron metabolism in infants and children has been enhanced due to recent discoveries of protein and peptides regulating iron absorption. Iron is absorbed in the small intestine by divalent metal transporter 1 (DMT1) and is stored by ferritin inside the mucosal cells or taken by ferroportin to the systemic circulation, while being oxidized by hephaestin to be integrated into transferrin. Hepcidin, a small peptide that is synthesized by the liver, can sense iron stores and regulates iron transport by ferroportin inhibition [7].
The majority of iron required by the body is obtained from the reuse of iron released from erythrocyte catabolism. However, sufficient amounts of iron must be supplied by the diet to replace the iron that is lost from the body (through exfoliation of the skin and gastrointestinal cells; and blood loss) and the iron that is needed for growth [9]. At birth, most of the body iron is found in blood hemoglobin, but a term, healthy, normal birth weight infant also has some iron stores, corresponding to about 25% of the total body iron [8].
Healthy, full-term, normal birth weight infants are born with sufficient stores of iron to cover their needs during the first 4–6 months of life [9]. The healthy infant at term is born with iron stores which can be partially mobilized and utilized for growth during early infancy. In addition to these stores, the high levels of hemoglobin at birth will decrease and the iron will be recycled and also used for growth and blood-volume expansion [7].
The huge demand for iron in the late fetal and early postnatal period is for hemoglobin (Hb) synthesis [10]. Some theories are estimating the iron requirements of infants. Total body iron varies with birthweight and has been estimated to be approximately 268 mg for an infant with a birthweight of 3.5 kg and approximately 183 mg for an infant with a birthweight of 2.5 kg [7].
Premature infants are at high risk of iron deficiency (ID) due to inadequate iron storage caused by the factors of preterm birth, early onset of postnatal erythropoiesis, and rapid growth after birth. There is a lack of a gold standard to describe iron status clinically for healthy preterm infants [10].
Iron bioavailability is commonly assumed to be 50% from breast milk and 10% from mixed foods. The stable isotope method can be applied to assess iron absorption in children [4]. Iron homeostasis is mainly controlled through tightly regulated changes in iron absorption in adults. Three “regulators” of iron hemostasis mechanisms have been identified which are referred to as the “erythropoietic regulator”, the “stores regulator”, and the “dietary regulator” [7].
Iron deficiency and overload are protected by the regulation of these compartments which are integrated to control iron absorption. The store’s regulator has a predominant role in maintaining iron homeostasis in response to endogenous iron stores. The dietary regulator may functionally respond to acute changes in iron intake, primarily to prevent iron overload [7].
Iron is absorbed from the diet in primarily the duodenum and jejunum. Iron cannot pass through cellular membrane unassisted. The primary importer of iron across the apical membrane of the intestinal epithelial cell is divalent metal transporter 1 (DMT1, also known as Nramp2, and DCT1). To date, only 1 transmembrane transporter protein, solute carrier family 11, member 2 (Slc11a2, also known as DMT1, is known to have physiological importance in bringing iron into cells. DMT1 is essential for iron absorption, based on a murine study explained that lack the gene encoding DMT1 develop severe IDA. Slc11a2 acts as a proton-dependent iron importer of Fe2+. It can also transport a variety of other divalent metal cations, including Mn2+, Co2+, Cu2+, and Zn2+ [11].
Iron homeostasis is regulated at the level of intestinal absorption. Several proteins must synchronize the transfer of iron across the enterocyte and into the systemic circulation. Iron acquired from the diet, is generally in the ferric (Fe3+) state and must be reduced to the ferrous form (Fe2+) before uptake into the enterocyte, presumably by an apical membrane-associated ferric reductase, possibly duodenal cytochrome
Hepcidin has an important role in the regulation of iron absorption. The hepatic synthesis of this peptide is induced by high serum iron concentrations and circulating hepcidin leads to decreased expression of ferroportin on the basolateral membrane of enterocytes, thereby blocking the dietary iron transport into the blood. On the contrary, hepcidin is downregulated in iron deficiency leading to an increase in intestinal iron absorption. It is not yet known whether hepcidin is involved in the significant developmental changes in iron metabolism that occur during the first year of life [4].
Iron homeostasis is primarily regulated at the level of intestinal absorption in adults; thus, the ontogeny of this homeostatic system has developmental consequences. The study from Lὅnnerdal and Kelleher explained a hypothesis that the increase in iron absorption that occurs during infancy reflects the maturation of the small intestine iron absorption mechanism to facilitate iron transfer into the systemic circulation [7].
Despite the magnitude of the difference in bioavailability of iron from breast milk and infant formula varies among studies, most investigators agree that iron is absorbed better from breast milk. A major part of iron in breast milk is associated with lactoferrin. Human lactoferrin is absorbed across the apical membrane of the intestinal cell via a specific lactoferrin receptor and internalized with its bound iron. Thus, lactoferrin facilitates a unique mechanism for the absorption of iron from breast milk. The molecular reasons for the lack of homeostasis of iron metabolism in young infants are not yet known. Iron absorption is refractory to hepcidin during the neonatal period, despite intact hepcidin signaling during this period. The mechanism for iron absorption and its regulation is different during early life than in adults, so further research is needed in this area [6].
Transferring transports absorbed iron to the liver, where it is taken up into hepatocytes by transferrin receptors and stored sequestered in ferritin until needed. Iron is released from ferritin and mobilized into the hepatic circulation for further distribution to the tissue, during times of high demand. The regulation of this process is just beginning to be explained, and our concept has been aided by the identification of several genes expressed in the liver that when mutated cause hereditary hemochromatosis, resulting in iron overload. These genes contain those for hepcidin, hemochromatosis protein (HFE), transferrin receptor 2 (TfR2), and hemojuvelin [7].
Anemia may be caused by decreased RBC production, increased RBC destruction, or blood loss [12]. In developing countries, iron deficiency (ID) and iron deficiency anemia (IDA) typically result from insufficient dietary intake, loss of blood due to intestinal worm colonization, or both. In high-income countries, certain eating habits (e.g., vegetarian diet) and pathologic conditions (e.g., chronic blood loss or malabsorption) are the most common causes [13].
Inadequate intake together with rapid growth, low birth weight and gastrointestinal loss due to excessive consumption of cow’s milk are the most common causes of IDA in children. Iron crossing through the placenta is the only source of iron during the intrauterine period. In the final period of pregnancy, the total amount of iron in the fetus is 75 mg/kg. If there is no significant cause of blood loss, physiological anemia begins in the postnatal period and iron stores are sufficient to provide erythropoiesis in the first 6 months of life. Stores are exhausted earlier in babies with perinatal blood loss and in low birth weight infants, since they are smaller. Improvement of the iron status and reduction of the risk of iron deficiency can be done by delaying umbilical cord clamping [1].
The iron-fortified formula helps ensure adequate iron supplies for infants. However, toddlers often have diets that contain large amounts of cow milk and minimal amounts of iron-rich foods. The risk of iron deficiency may be increased by the early introduction of whole cow milk (before 1 year of age) and consumption of greater whole cow milk after the first year of life. Cow milk is not only low in iron, it also interferes with iron absorption. Cow milk may cause unknown gastrointestinal bleeding in some infants [14].
Adolescent females may become anemic due to menstrual losses. Some children develop anemia due to Meckel diverticulum, chronic epistaxis, or inflammatory bowel disease, which all cause blood loss. Iron is absorbed from the gastrointestinal tract and transported into the blood bound to transferrin. Excess iron is stored primarily in the liver, bone marrow, and spleen as ferritin [14].
Three main body iron compartments describe iron status inadequacy: iron stores, transport iron, and functional iron. Depletion of each component leads to a different iron deficiency stage. Short-term variations in physiologic iron needs are met by the release of iron stores, the majority of which are available as intracellular ferritin, predominantly in hepatocytes and specialized macrophages [15].
Iron deficiency (ID) can be divided into 4 major categories: 1) iron depletion (a state in which the low level of iron affects nonhematologic pathways (e.g., brain, muscle); where microcytic anemia that is classically seen in iron deficiency anemia (IDA) is not found, 2) iron-restricted erythropoiesis (a condition with some impairment of hematologic function without evidence of anemia or microcytosis), 3) IDA (a clinical picture with reduced hemoglobin levels, in which neurodevelopmental and musculoskeletal functions have been inhibited), 4) Functional iron deficiency (a state in which iron stores are adequate but unavailable for biological use). This typical laboratory findings of each category can be seen in Table 1 [5].
Laboratory finding | Iron depletion | Iron-restricted erythropoiesis | Iron deficiency anemia | Functional iron deficiency |
---|---|---|---|---|
Hemoglobin | Normal | Normal | Reduced | Normal |
MCV | Normal | Normal to reduced | Reduced | Reduced |
Serum iron (SI) | Normal | Reduced | Reduced | Normal |
Serum ferritin | Reduced | Reduced | Reduced | Normal to elevated |
TIBC | Normal | Increased | Increased | Increased |
sTfR | Normal | Increased | Increased | Increased |
CHr or Ret-He | Normal | Decreased | Decreased | Decreased |
Hepcidin | Reduced | Reduced | Reduced | Elevated |
Classification of the iron states and associated laboratory findings.
MCV: mean corpuscular volume; TIBC: total iron-binding capacity; sTfR: soluble transferrin receptor; CHr or Ret-He: reticulocyte hemoglobin content.
Iron deficiency affects a variety of physiological functions [5]. Iron deficiency refers to the reduction of iron stores that precedes overt iron deficiency anemia or persists without progression. Iron deficiency anemia is a more severe condition in which low levels of iron are associated with anemia and the presence of microcytic hypochromic red cells [13].
Serum ferritin represents a small fraction of the body’s ferritin pool, but the concentration of ferritin reflects the amount of iron stores. Once iron stores are depleted, the first stage of iron deficiency (ID) is reached, namely iron depletion, but there are no erythropoietic consequences yet [15].
The iron supply provided by the transport iron compartment is mainly for red blood cell (RBC) production because the demand of iron for erythropoiesis is much larger than other tissues. The second stage of ID, namely iron-deficiency erythropoiesis, occurs without showing a notable decrease in hemoglobin concentration, when the supply can no longer be met. Laboratory parameters providing information about the adequacy of iron supply are transferrin saturation (TSAT) and the concentrations of erythrocyte protoporphyrin (EP), and soluble transferrin receptor (sTfR). The percentage of binding sites on all transferrin molecules occupied with iron molecules is represented by TSAT, and is calculated as the ratio of serum iron to transferrin or serum iron to total iron-binding capacity (TIBC) [15].
Impairment of the delivery of iron to erythroid is indicated by iron-restricted erythropoiesis, no matter how replete the stores. In cases of anemia of chronic inflammation, stores may be normal or even increased because of iron sequestration, which is observed in patients with autoimmune disorders, infections, and chronic kidney diseases [13]. Common indicator considerations require biological confounding caused by the inflammation. Inflammation is a highly complex biological process, confounding the interpretation of iron status indicators, especially serum ferritin concentration because it increases in response to inflammation as well as to increased iron stores [15].
In uncomplicated IDA (without inflammation response), there is a reduction in iron stores, transport iron, and functional iron. Transferrin production is upregulated to increase iron transport, as soon as the iron supply to erythropoiesis becomes insufficient. Upregulation of transferrin receptor production happens to facilitate iron delivery to cells increasing sTfR, and zinc protoporphyrin (ZPP) is produced instead of heme resulting in an increase of erythrocyte protoporphyrin (EP). Serum ferritin and Hb concentration are important indicators in uncomplicated IDA [15].
The functional iron deficiency is a state of iron-poor erythropoiesis in which there is an insufficient mobilization of iron from stores in the presence of increased demands, as is observed after treatment with erythropoiesis-stimulating agents [13].
A detailed history (anamnesis) of the patient and physical examination is crucial in the diagnosis of all diseases in medical science. A study has shown that a detailed history can diagnose anemia with a sensitivity of 71% and specificity of 79% [16]. Particularly, prenatal period, times of starting breastmilk and solid foods, bleeding history and nutrition should be considered in detail, also signs other systemic diseases and anemia that may accompany [1].
A hemoglobin (Hb) value 5 percentile below the normal hemoglobin value specified for that age or reduced erythrocyte count in healthy individuals is defined as anemia. Anemia should be defined by paying attention to the lower limit of the normal value for different age groups and gender [1]. Hemoglobin concentration is the key indicator for a functionally important iron deficit, specifically iron deficiency anemia (IDA). The hematocrit does not reveal any additional information other than hemoglobin [15]. Based on the size of RBC, hematologists categorize the anemia as macrocytic, normocytic, or microcytic [12].
Anemia in children has a broad differential diagnosis, but it narrows once the anemia is classified further as microcytic. The most common causes of this in children are iron deficiency and thalassemia minor. Microcytosis also results from lead poisoning, chronic diseases (e.g., inflammation, infection, etc.), sideroblastic anemia, and other rare conditions [14].
Reduction in MCV and MCH (mean corpuscular hemoglobin) in a CBC result is a manifestation of reduced hemoglobin in erythrocytes. The erythrocytes are paler and smaller than normal on the peripheral blood smear, (microcytic and hypochromic). MCV and MCH are parallel to each other; meaning erythrocytes may be microcytic and hypochromic at the same time. An MCH below 27 pg. is considered low. The normal value of MCV ranges between 80 and 99 fL, but in children, normal values differ according to age. Laboratory findings in iron deficiency are shown in Table 2 below [1]. The data from our study (Table 3) shows significant differences in hematologic parameters between the β-thalassemia minor and IDA groups. The higher RBC increase in the IDA group compared to the β-thalassemia minor (BTMi) group was probably related to the administration of iron therapy in children with IDA [17].
Complete blood count: |
RDW >14 RBC: low Hb, Hct: low according to age and gender MCV: low according to age and gender When specifying the lower limit of MCV: 70 + age (for >10 years) (if MCV is <72, generally abnormal) Upper limit of MCV: 84 + age x 0.6 (for >6 months) (if MCV is >98, always abnormal) MCH <27 pg. MCHC <30% Thrombocytosis Rarely: thrombocytopenia, leukopenia |
Peripheral blood smear: |
Hypochromic Microcytosis Anisochromic Anisocytosis Pencil cells Rarely: basophilic stippling, target cells, hyper segmented neutrophils Serum ferritin <12 ng/mL *Serum iron <30 mcg/dL *TIBC >480 mcg/dL Transferrin saturation (SI/TIBC × 100%) <16% Mentzer index (MCV/RBC) <13 |
Iron deficiency laboratory findings.
May change by age, gender, and other factors. Should be evaluated together.
Parameter | BTMi (n: 159) | IDA (n: 64) | ||
---|---|---|---|---|
Range | Mean ± SD | Range | Mean ± SD | |
Hb (g/dL) | 4.49–14 | 8.53 | 5.07–16.3 | 10.96 |
Hct (%) | 13.6–43.8* | 27.57 | 14.7–51.6* | 34.15 |
RBC (×106/μL) | 1.9–6.77* | 3.86 | 2.06–6.05* | 4.46 |
MCV (fL) | 55.0–99.3 | 71.95 | 63.4–90.7 | 76.48 |
MCH (pg) | 16.6–31.7 | 22.34 | 20.0–28.7 | 24.59 |
MCHC | 26.5-34.9 | 30.96 | 27.6–34.9 | 32.20 |
RDW-CV (%) | 8.3–34* | 20.15 | 10.5–30.9* | 14.6 |
Hematological parameters of the group of β-thalassemia minor (BTMi) and iron deficiency anemia.
Significant,
Note: Hb: hemoglobin; RBC: red blood cell; MCV: mean corpuscular volume; MCH: mean corpuscular hemoglobin; MCHC: mean corpuscular hemoglobin concentration; RDW-CV: red cell distribution width-coefficient of variation.
Differential diagnosis of microcytic hypochromic anemia is very important to consider because the interpretation of its’ peripheral blood can be found in iron deficiency anemia and β-thalassemia trait. Iron deficiency and β-thalassemia minor are best differentiated using serum ferritin level, serum iron level, total iron-binding capacity, transferrin saturation, and Hb A2 level, along with a complete blood count (CBC) and examination of peripheral blood film [18]. Carriers of β-thalassemia are usually clinically asymptomatic. However, they have characteristics of the CBCs with mean corpuscular volume (MCV) less than 80 fL and mean corpuscular hemoglobin (MCH) less than 27 p. [19].
Anemia evaluation can be done by an array of tests, but there is no single “best” test to diagnose iron deficiency, with or without anemia. The “gold standard” for identifying iron deficiency is bone marrow biopsy with Prussian blue staining. Since, bone marrow aspiration is an invasive procedure, indirect assays are used for routine use. The laboratory tests that may be used to support and consider the diagnosis of iron deficiency are complete blood count (CBC), peripheral blood smear, reticulocyte, iron profile (SI, TIBC, and transferrin saturation index), sTfR level, and biochemical tests based on iron metabolism (e.g., zinc protoporphyrin-ZPP, serum ferritin concentration) [14]. In CBC, if anemia is present, it should be primarily checked if hemoglobin and hematocrit values are normal for age and gender. In infants younger than 6 months, lower values are observed because of physiological anemia, but hemoglobin levels are not expected to be lower than 9 g/dL in physiological anemia in term infants if there is no other accompanying factor [1].
Iron has a role in various essential physiological functions, such as oxygen transport, gene regulation, DNA synthesis, DNA repair, and brain function. Depletion of and inability to use iron disturbs these pathways and causes multiple morbidities. Iron deficiency anemia (IDA) is a well-known complication, but iron deficiency alone may cause negative impacts on the health risk of pediatric patients.
The high prevalence of iron deficiency anemia in developing countries most often is attributed to nutritional deficiencies worsened by chronic blood loss due to parasitic infections and malaria. The differential diagnosis for anemia in children is broad, but it narrows once the anemia is classified further as microcytic. Iron deficiency and thalassemia minor are the most common causes of microcytic anemia in children.
An array of tests can be used for evaluating anemia, but there is no single “best” test to diagnose iron deficiency, with or without anemia. The “gold standard” for identifying iron deficiency is bone marrow biopsy with Prussian blue staining. The laboratory tests that may be used to support and consider the diagnosis of iron deficiency are complete blood count (CBC), peripheral blood smear, reticulocyte, iron profile (SI, TIBC, and transferrin saturation index), sTfR level, and biochemical tests are based on iron metabolism.
The authors declare no conflict of interest.
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