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Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
\n\nThis achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
\n\nWe are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
\n\nThank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
\n\n\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"3788",leadTitle:null,fullTitle:"Convergence and Hybrid Information Technologies",title:"Convergence and Hybrid Information Technologies",subtitle:null,reviewType:"peer-reviewed",abstract:"Starting a journey on the new path of converging information technologies is the aim of the present book. 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Colonization of the respiratory tract by bacterial pathogens in the mucus of CF patients leads to a sustained inflammatory response characterized by massive influx of polymorphonuclear neutrophils and the activation of macrophages, eosinophils, monocytes and lymphocytes. An integral part of this inflammation is the production and release of free radicals such as superoxide (O2-) and hydroxide (OH-), which can induce oxidative stress. In fact, elevated levels of proinflammatory cytokines, especially interleukins (IL-1β, IL-6, IL-8), tumour necrosis factor-α and potent neutrophil chemoattractants found in bronchoalveolar lavage, are involved in the production of pro-oxidants leading to apoptosis and tissular damage. Conversely, the production of immunosuppressive cytokine IL-10 with anti-inflammatory properties is reduced or even suppressed [1].
Thus, the severe and recurrent respiratory inflammation ultimately leads to excessive activated neutrophils and macrophages, which contribute to the generation of free radicals. Furthermore, defects in the Cystic Fibrosis Transmembrane Regulator (CFTR) can directly affect transport and glutathione homeostasis, while maldigestion and malabsorption related to exocrine pancreatic insufficiency impair the absorption of fat-soluble vitamins and antioxidants. It has been suggested that the chloride channel CFTR also regulates glutathione, disturbing the balance between pro- and anti-oxidants and promoting oxidative stress, which may play an important role in Cystic Fibrosis Related Diabetes, a serious complication associated with a dramatic increase in morbidity and mortality [2].
Although the cause of CF is well established, the pathogenesis of this progressive multisystemic disease is not yet fully understood. In fact, the broad spectrum of phenotypes and severity in CF patients that carry the same combination of mutations suggests additional environmental or genetic factors.
The CFTR dysfunction in the pancreas causes exocrine pancreatic insufficiency in almost 90% of patients with CF. This leads to fat malabsorption, which explains the difficulty to gain or at least maintain weight, and the high incidence of fat-soluble-vitamins and antioxidant (vitamins A, E, and D and carotenoids) deficiency, and also essential-fatty-acids deficiency. Obviously, the reduced availability of dietary antioxidants may further increase oxidative stress in CF patients, which apparently plays an important role in multiorgan pathophysiology of CF.
Consequently, the products of lipid peroxidation, which are markers of oxidative stress, have been detected in exhaled breath condensate, as well as in blood and urine of CF patients. Thus products of lipid peroxidation are unstable molecules that can reach distant sites to exert various effects, including activation of the fibroblast cells in the presence of inflammation, which further increases oxidative stress [3].
Nutrition plays an essential role in the survival and quality of life of CF patients. CF patients have high caloric requirements due to an increased resting energy expenditure (REE), bacterial infection, and malabsorption. REE is higher in CF patients with a more severe phenotype. Lung function and nutritional status are closely correlated, and the severe weight loss can lead to a decrease in lean body mass, with consequences for respiratory muscles. There is a significant correlation between growth retardation and the severity of pulmonary involvement [4]. Recently, Yen et al. found that greater weight at age four years is associated with greater height, better pulmonary function, fewer complications of CF, and better survival through the age of 18 years. Furthermore, greater weight for age in the peripubertal period is associated, on average, with improved tempo and timing of pubertal height growth [5]. Long-term nutritional management is as integral a part of modern care as pulmonary therapy, and is intimately linked to pulmonary outcomes.
Dietetic management is based on the replacement of pancreatic enzymes and fat-soluble vitamins (A, D, E, K), together with a high-protein diet and high calorie intake (120–125% of the normal recommended daily allowance). The recommended Body Mass Index (BMI) for adult CF patients is ≥22 kg/m2 for females and ≥23 kg/m2 for males. Overnight enteral nutrition via nasogastric tube or gastrostomy provides supplementary nutritional support when BMI is suboptimal [6].
Essential fatty acid (EFA) imbalance has been identified in CF patients and is characterized by a decrease in docosahexaenoic acid (DHA) and linoleic acid and an increase in arachidonic acid (AA) [7]. These characteristics were mainly attributed to intestinal malabsorption due to exocrine pancreatic insufficiency. In the last few years, new mechanisms have been proposed, such as intensification of the b-oxidation of polyunsaturated fatty acids (PUFAs), inadequate dietary EFA consumption, the possibility of an intrinsically defective EFA metabolism in CF epithelial cells, an increase in the production of proinflammatory eicosanoids, a rise in the peroxidation of PUFAs, and finally an impairment of desaturases or hepatic lipase activity [8].
It has been observed that long-term intake of the daily mixtures of fatty acids (eicosapentaenoic, docosahexaenoic, linoleic and γ-linolenic acid) at a low dose has a positive effect on lung function and inflammation in adult CF patients. The total number of exacerbations after a year of supplementation was reduced, while the lean-body-mass and lung-function parameters measured by spirometry were increased. In addition, supplementation led to improved parameters of oxidation, inflammation (IgG and IgM) and other clinical parameters [9]. 8-isoprostane, a free-radical product of lipid peroxidation which is a consequence of oxidative stress, appears to be a prognostic factor in deterioration of lung function in a short time in patients infected with
Forty-three CF patients were enrolled in a randomized double-blind placebo-controlled study with three fatty-acid blends containing mainly n-3 or n-6 FA, or saturated fatty acid acting as placebo [11]. After three months, in the omega-3 fatty-acid-supplemented group, a significant decrease in the inflammatory markers, erythrocyte sedimentation rate and IL-8 was reported. Another, longer-term study (17 participants) demonstrated a significant increase in essential-fatty-acid content in neutrophil membranes and a significant decrease in the leukotriene B4 to leukotriene B5 ratio in participants taking omega-3 supplements compared to the placebo [12].
Supplementation of CF patients with vitamin E and β-carotene has been effective in preventing oxidative lung damage [13], as seen by a decrease in lipid peroxidation products. It is believed that these antioxidants have an important role in maintaining or restoring essential-fatty-acid status by protecting polyunsaturated fatty acid from oxidative degradation, as their supplementation augments levels of plasma polyunsaturated fatty acid.
Carotenoids
Levels of plasma carotenoids such as β-carotene, β-cryptoxanthin, and total lycopene are significantly lowered in CF patients and this has been associated with higher susceptibility to lipid peroxidation. Rust et al. [14] examined the effect of long-term oral β-carotene supplementation in patients with CF. Patients of the CF supplementation group received 1 mg β-carotene/kg body weight/day (maximally 50 mg β-carotene/day). During high-dose treatment, a significant decrease in the MDA level and a correction of total antioxidative capacity was observed.
Renner et al. reported distinct clinical benefits from high-dose (1 mg/kg body weight/ day, maximum 50 mg/day) supplements. Their patients required significantly fewer antibiotics during the phase of high-dose β-carotene supplementation and showed a decrease in pulmonary exacerbations [15]. Lepage et al. reported that the two-month supplementation of CF patients with 4.42 mg β-carotene, three times per day, led to the normalization of increased MDA level and increased plasma β-carotene from 0.08 ± 0.03 to 3.99 ± 0.92 μM [16].
At the same time, toxicity issues have been raised for supplementation with water- miscible vitamin A formulations in CF patients, which may increase serum retinol and possible risk of CF-associated liver and bone complications [17]. However, β-carotene supplementation seems to be safe since it does not affect serum concentrations of other carotenoides and retinol [14]. Recent studies have analysed the use and safety of a new CF polyvitamin (AquADEKs ®), which comprises almost 90% vitamin A in retinol form. Patients on AquADEKs ® maintained a high level of serum β-carotene, but serum retinol was not above the normal levels. β-carotene levels were associated with lung function and better nutritional status [18,19], while lipid peroxidation markers were not affected [20].
Vitamin E (α-tocopherol)
α-tocopherol acts as a membrane antioxidant closely associated with polyunsaturated fatty acids. Vitamin E’s antioxidative properties might be helpful in reducing the negative effects of free radicals. Current recommended supplementation of vitamin E in CF patients only includes α-tocopherol. Supplementation with high levels of α-tocopherol alone may result in further imbalances in CF patients: such supplementation has been shown to deplete γ-tocopherol in the blood and tissues [21]. Papas et al. [16] evaluated vitamin E supplementation with mixed tocopherols. The increase in the blood of levels of γ-tocopherol may be particularly important for CF patients due to its function as a scavenger of reactive nitrogen species and its synergistic effects with α-tocopherol [22]. Cystic fibrosis is characterized by neutrophil-dominated airway inflammation. Activated neutrophils release oxidants, proteases, and cytokines, further sustaining and increasing the inflammatory response and causing direct injury to the lungs. Improved antioxidant capacity with γ-tocopherol, especially if present in the lungs, could potentially decrease oxidant-mediated damage and limit the cytokine-mediated neutrophil recruitment. It has also been reported that reduced serum levels of vitamin E are associated with an increased rate of pulmonary exacerbations in CF [23].
Vitamin C
Vitamin C is present in the respiratory lining fluid of human lungs, and local deficit occurs during oxidative stress. Experimental findings confirm that vitamin C induced the openings of CFTR Cl− channels without a detectable increase in intracellular cyclic AMP levels. Vitamin C instilled into the nasal epithelium of human subjects effectively activates Cl− transport, too.
The pool of vitamin C in the respiratory tract represents a potential nutraceutical and pharmaceutical target for the complementary treatment of oxidative stress in patients with CF [24]. In a study by Winklhofer-Roob et al. [25] on 122 children and young adults with CF, ascorbic-acid concentrations decreased with age, and low vitamin C levels were associated with the highest indexes of inflammation, so the authors concluded that ascorbic acid could interact with an inflammation-amplifying circle of activation of alveolar neutrophils and macrophages.
Water-soluble vitamins seem to be well absorbed by patients with CF, but there is documented evidence of poor dietary intake. A supplement of at least 50–100 mg vitamin C/day should be prescribed for patients with an unbalanced diet, or if there is evidence of deficiency.
Selenium
Dietary intake of selenium is inversely related to inflammatory markers such as sialic acid and triacylglycerol [26]. Moreover, a possible role of selenium in the modulation of serum complement 3, which may be an early marker of metabolic syndrome manifestations, has also been documented.
Wood et al. carried out an eight-week, double-blind, randomized intervention trial, providing two groups of patients with low- and high-dose vitamin supplements (500 μg vitamin A and 10 mg vitamin E vs. 500 μg vitamin A, 25 mg β-carotene, 200 mg vitamin E, 300 mg vitamin C and 90 μg selenium). They demonstrated significant improvement of clinical indicators after treatment. Increased serum β-carotene, selenium, and fatty-acid concentrations were linked to improved lung function [27].
Consensus regarding supplementation of antioxidants in CF to include selenium is yet to be established. Two studies have attempted to demonstrate successfully how the administration of 2.8 μg/kg/day and 90 μg/day of selenium can decrease oxidative stress in CF [28].
The discovery that CF is associated with significantly diminished efflux of reduced glutathione (GSH) from most cells in the body [29] offers a new perspective on the pathophysiology of this disease. GSH plays several important roles; among the most important are the following: 1) primary water-soluble antioxidant; 2) mucolytic capable of cleaving disulphide bonds; and 3) regulator of immune-system function [30].
The relationship between redox ratio (GSH:GSSG) and total glutathione (GSH+GSSG) and the initiation of inflammation is well established [29,30]. GSH is also an important component of the epithelial lining fluid of the intestines, helping to keep intestinal mucus thin, serving to defend the intestinal system against reactive oxygen species, and keeping inflammation in check under normal circumstances [31].
In a recent placebo-controlled, randomized, double-blinded, clinical trial in 44 paediatric CF patients aged between 18 months and 10 years [32], treatment with oral glutathione (65 mg/kg/day) increased weight and BMI z score and improved measures of gut inflammation (faecal calprotectin) over the course of six months, without adverse side effects. The authors therefore concluded that Oral GSH might primarily be beneficial in those children with more severe inflammation of the gut, and suggested that early intervention with oral glutathione in young CF children with growth failure could forestall decline in pulmonary function in later years.
Several studies have investigated the potential therapeutic role of inhaled GSH in patients with CF. Three short-term clinical trials, including a placebo-controlled one, have shown the tolerability and efficacy of inhaled GSH on pulmonary function in these subjects [33-34]. A recent 12-month randomized single-blind placebo-controlled trial demonstrated the efficacy of inhaled GSH (600 mg twice daily) on lung function in CF adults [35]. Three months of therapy with inhaled GSH resulted in a statistically significant improvement in percentage-predicted FEV1, measured as a pre-post difference from baseline values, when compared to the placebo, which persisted at six and nine but not at 12 months. A reduced compliance with therapy in adult patients could explain the decrease in FEV1 values registered in the last visit. The best improvements in functional parameters were registered in the subgroup of patients with moderate lung disease (FEV1 below 81%). These results are in concordance with those reported by Griese et al. [36], who showed a significant increase of FEV1 absolute values (but not when expressed as percentage-predicted) from the baseline after three months of GSH therapy.
N-acetylcysteine (NAC), a well-known cysteine donor for the synthesis of glutathione, has been used in different diseases to treat GSH deficiency [37]. High-dose oral NAC has been shown to increase neutrophil GSH levels, decrease airway neutrophil recruitment and reduce neutrophilic release of airway elastase in CF patients [38]. Skov et al. demonstrated that high-dose oral NAC (1200 mg x 2/day for 30 days) in CF patients with chronic
Indications of a positive effect of NAC treatment on the lung function of a subgroup of CF patients have previously been published [40]. Recently, a placebo-controlled randomized clinical trial (70 CF patients) was conducted in the USA to study the effect of oral NAC on lung inflammation (ClinicalTrials.gov Identifier: NCT00809094). Oral NAC was administered in a dose of 1800 mg/day divided into two dosages over a period of 24 weeks and the effects on the sputum levels of human neutrophil elastase (HNE) were assessed as a primary end-point. While no statistical significant difference was found between the two groups with regard to the primary end-point, an improvement in the predicted FEV1% was observed in the NAC-treated group.
A recent Cochrane review on the use of thiol derivatives, such as NAC, did not find sufficient evidence to recommend the use of these compounds in the management of CF lung disease, but concluded that further studies were warranted [41].
γ-Glutamylcysteine ethyl ester (GCEE) is another potentially interesting GSH pro-drug, which has proved to have some efficacy in the amelioration of oxidative stress, e.g., in experimental myocardial infarction [42] and central-nervous-system conditions (see, e.g., [43]). However, GCEE has not been investigated in CF yet.
New CFTR modulation therapies are being designed to correct the function of the defective protein (CFTR) made by the CF gene, allowing chloride and sodium to move properly in and out of cells lining the lungs and other organs. N6022 is a new injectable compound that modulates the function of the defective CFTR protein and decreases inflammation in the lung. N6022 is the first of a new class of compounds that increase levels of an important signalling molecule in the body called S-nitrosoglutathione, or GSNO. These novel compounds have been shown in preliminary results (Phase 1b trial) to increase the amount of CFTR that reaches the cell membrane and to stabilize CFTR so that its function can be improved.
In conclusion, there appears to be conflicting evidence regarding the clinical effectiveness of antioxidant supplementation in CF patients. Based on the available evidence, glutathione (administered either orally or by inhalation) and high doses of β-carotene appear to improve lung function in some cases and decrease oxidative stress. Further studies, especially in very young patients, examining clinically relevant outcomes, dose levels and other promising therapies like CFTR modulation, are necessary before a firm conclusion can be made regarding the effects on oxidative stress in these patients.
Chemical engineering processes are frequently composed of multiple complex phenomena. These systems can be represented by a set of several equations, such as
In the chemical process industries, ammonia is one of the most widely manufactured inorganic compounds [3]. The majority of ammonia produced commercially is consumed in fertilizers, with the rest going into plastics, synthetic fibers and resins, pharmaceuticals, explosives, papers, and refrigeration [4]. As a result, modeling and optimization of ammonia synthesis process have received a significant attention from both the academia and industry. Ammonia is produced predominantly from the combination of elements such as nitrogen and hydrogen in a catalytic process using a promoted iron catalyst firstly established by Haber and Bosch as the reaction [4]:
The reaction is reversible and exothermic, releasing a significant amount of heat. In order to achieve a high conversion, the heat of the reaction should be removed. Therefore, the process is typically carried out in an autothermal synthesis reactor, in which the heat of reaction is utilized to preheat the feed gas and ensure the suitable temperature inside. The production of ammonia depends on several factors such as the reactor length, the operating pressure, temperature of the feed and reacted gas, the flow rate, and composition of the gas mixture. The optimization problem of the process is to maximize the economic return. Many studies discussing the modeling, simulation, and optimization of an autothermal ammonia synthesis reactor can be found in literature. Some of them can be mentioned here as in Babu et al. [5], Babu and Angira [6], Carvalho et al. [7], Edgar et al. [8], Ksasy et al. [9], Murase et al. [10], Upreti and Deb [11], Yusup et al. [12]. However, the model discussed in the studies of Edgar et al. [8], Murase et al. [10] has some minor errors and has been corrected in Upreti and Deb [11]. Moreover, the studies primarily focus on optimizing reactor length for a specific reactor top temperature, usually 694 K [6, 7, 12], or for a limited set of temperatures [9, 11]. However, as reported in some studies [11, 12], the economic return is determined by the top temperature and also the reactor length (the temperature of feed gas entering to the reaction zone). As a result, rather than a single variable problem of reactor length, the optimization problem should be viewed as a multivariable problem.
In the study [13], both the reactor length and the reactor top temperature are considered in the design variables for maximizing the profit return of the process. In order to solve the multivariate optimization problem, the cyclic coordinate search technique was employed. This method alters the value of one decision variable at a time, and for each coordinate direction, the golden section search was utilized to solve the single variable optimum problem. However, this traditional searching approach is prone to get caught in local optima. Therefore, the genetic algorithm has higher chance to obtain the global optimum profit of the process.
The system discussed here is an autothermal synthesis reactor, which is described in [10] and contains the correction of the objective function reported in [6, 11]. The feed gas contains 21.75 mole% nitrogen, 65.25 mole% hydrogen, 5.0 mole% ammonia, 4.0 mole% methane, and 4.0 mole% argon. In an autothermal reactor, the feed gas mixture enters from the bottom of the reactor, flows upward, enters the catalyst zone from the top, and moves downward. In the catalyst zone, the reaction takes place at around 500°C and 200 atm of pressure. The heat generated by the reaction is utilized to preheat the feed gas mixture in counter current flow. Figure 1 shows the schematic diagram of an autothermal ammonia synthesis reactor. The considered factors affecting the synthesis process are the temperature of feed gas at the entrance of the reaction zone (top temperature) and the reactor length. The goal of the optimal design is to determine the conditions that will give the highest economic return from the reactor operation.
Schematic diagram of an autothermal ammonia reactor [
The return of the process, which is calculated from the value of the product gas (heating value and ammonia value), subtract the cost of feed gas (as a source of heat only) and minus the amortization of reactor capital expenses, is the objective function for maximization (
in which,
The heat balance for the feed gas and the reacting gas and the mass balance for the nitrogen flow along the catalyst zone, respectively, give the mathematical model for the system:
in which
The differential equations are valid in the interval [0,
The notations
Other notations of the system are summarized in Table 1.
Notation | |
---|---|
Heat capacity of the feed gas | |
Heat capacity of the reacting gas | |
Catalyst activity | |
Δ | Heat of reaction |
Mass flow of component designed by subscript | |
Reaction rate constant | |
Partial pressure of component designated by subscript | |
Universal gas constant | |
Surface area of catalyst tubes per unit length of reactor | |
Cross-sectional area of catalyst zone | |
Overall heat transfer coefficient | |
Total mass transfer flow rate |
Notation of the synthesis system.
The variables are subjected to the following physical constraints, as is typical in industries [10]:
The length of the reactor and the top temperature are chosen as the design variables. The remaining variables (
The optimal design problem is summarized as follows:
The system of ordinary differential Eqs. (3), (4), and (5) with initial conditions (11) was solved by Runge–Kutta fourth-order method. The system is well defined when the top temperature (
The range of the design variables is
In barrier or penalty methods, the objective function will receive an undesired value when one of the constraints is violated. Therefore, the solution will be kept in the feasible region. The objective function has been modified as
Figure 2 shows the fitness values as a function of generation. As can be observed, the fitness function value achieved the highest after roughly 20 generations and then stayed unchanged. After 100 generations, it was obtained that the reactor length should be 6.772 m, and the top temperature should be 707.09 K. The process produces a profit of 5.018× 106 $ per year. The other parameters of the process are summarized in Table 3 and compared with the findings of a cyclic coordinate search [13]. The profit value is slightly higher than those reported in the literature, which focused solely on reactor length optimization. From the results, the temperature at the entrance of the catalyst zone should be slightly higher, and that the reactor length should also be slightly longer than previously reported.
Fitness value versus generations.
Variables | Interval | Cyclic coordinate [13] | Genetic algorithm |
---|---|---|---|
[0,10] | 6.724 | 6.772 | |
[600,800] | 700.27 | 707.09 | |
[400,800] | 400.00 | 401.09 | |
629.94 | 631.12 | ||
[0,3220] | 490.68 | 490.68 | |
5.018 | 5.018 |
Maximization results.
The behavior of permeate flux has a significant impact on the performance of cross-flow ultrafiltration. Many factors cause flux declination, such as solution properties, membrane properties, and operation conditions. The majority of current research has centered on increasing membrane performance in terms of permeability and selectivity [14, 15]. Just a few studies have paid attention to the configuration and operation of the membrane module [16].
Various factors determine the decision of membrane module geometry for a given application, including fabrication method, power consumption, and fouling potential [17]. Manufacturers frequently recommend the membrane module design from the fabrication standpoint [17]. There is virtually no evidence that their approach prioritizes the energy efficiency. Currently, with a growing in energy concern and a falling in membrane cost, the membrane module design should place a higher attention on energy efficiency. As a result, it is necessary to propose a module design methodology that takes into account the energy factor.
Furthermore, membrane operating conditions are usually decided by user experience, a handbook, or a manual from the membrane supplier. However, the permeate flux equation governing the performance of the membrane system varies greatly between different situations. In this aspect, for any specific application, a general methodology for the design and operation conditions should be studied.
In cross-flow ultrafiltration of protein solution, Nguyen et al. [18] proposed a simple combined model, which simultaneously considers pore blockage and cake filtration, to describe the flux declination. Then, in the study [19], the correlation between the steady-state permeate flux and operation parameters was reported. From the steady-state operation equation, optimal design and operation conditions for each particular application could be established.
However, just a few reports on the optimization of membrane processes and cost estimation have been published, or the cost estimation is too general. For example, Wiley et al. [17] optimized the membrane module configurations for brackish water desalination. However, the operation mode is single-pass and only the membrane cost and energy cost were taken into account. Sethi and Wiesner [20] developed the cost model for the removal of natural organic matter, but the study has not conducted the optimization. In membrane technology, the feed and bleed operation mode, which combines the batch and the single-pass configurations, is commonly utilized for continuous full-scale filtration [21, 22]. Therefore, the optimization of a membrane module operated in feed and bleed mode for protein ultrafiltration is considered. The membrane geometry dimensions and operating conditions are design variables in the problem. The system is represented by a set of ordinary differential equations. The objective function is the annual cost, which consists of various types of capital investments and an operating expense. The capital investments are classified into several categories, which are individually correlated to plant scale, particularly the membrane area. The operating expense is the power consumption.
The configuration of filtration system is continuous feed and bleed, which is shown schematically in Figure 3. The notations are summarized in Table 4. There are two main pumps in this operation: the feed pump provides the necessary trans-membrane pressure, while the recirculation pump maintains the cross-flow rate through the modules. The concentrate is continually withdrawn from the system at a flow rate (
Schematic configuration of feed-and-bleed mode membrane system.
Notation | Name and units |
---|---|
Feed flow rate [m3/hr] | |
Retentate (concentrate) flow rate [m3/hr] | |
Recirculation flow rate [m3/hr] | |
Flow rate in membrane module [m3/hr] | |
Permeation flow rate [m3/hr] | |
Pressure at outlet of feed pump [kPa] | |
Pressure at the inlet of membrane module [kPa] | |
Pressure at the inlet of membrane module [kPa] | |
Energy consumed by the feed pump [kW] | |
Energy consumed by the recirculation pump [kW] | |
Initial concentration of protein solution [m3/m3] | |
Inlet concentration of protein solution [m3/m3] | |
Final concentration of protein solution [m3/m3] | |
Concentration of protein in permeate flux [m3/m3] | |
Fluid flow velocity [m/s] | |
Fluid density [kg/m3] | |
Fluid viscosity [kg/(m·s)] | |
Width, height, length, hydraulic diameter of the membrane module |
Summary of system configuration notations.
The material balance for total mass and protein give:
The viscosity and density of protein solution correlate to its concentration [23]:
in which,
The permeate flux through the membrane is [19].
in which
The equation for permeate flux can be rewritten as:
or in terms of shear rate
The flow rate/velocity drop and channel length change are calculated from the total mass balance and component balance within the control volume
The pressure loss is estimated by the Darcy-Weisbach Equation [24, 25].
in which
The set of ordinary equations that describes the membrane module system was established as follows [26].
in the range of concentration [
The system of the ordinary equations can be solved numerically by Runge–Kutta fourth-order method [27] to obtain the flow rate, the length, and the pressure. From that, the two important factors determining the total cost, membrane area, and total energy were calculated:
In this equation,
Δ
The operating cost consists of power consumption of the pumps and membrane replacement. The annual energy expense of the pumps is calculated as
The membrane replacement cost is calculated as
where
The membrane price is usually about 200 $/m2 ([9]), and membrane life is 12–18 months. Therefore, the membrane replacement cost per year is roughly estimated as 200 $/m2/year for the interest of
It is widely observed that capital costs are correlated to the size in the power-law form [30]:
In order to achieve higher accuracy, rather than simply predicting the whole capital cost of the membrane plant to capacity, Sethi and Wiesner [20] divided the capital investment into several major categories, which was correlated to the size independently. The major categories include pumps and other manufactured equipment.
Pump capital cost
The pumps capital cost can be estimated as (Perry et al. [31]):
in which.
The cost index,
The pump size (
Capital cost of other equipment
In membrane application, the membrane area is the key parameter, which determines the plant capacity [34]. Thus, the membrane area is chosen as the basic for the estimation of various components in the capital costs.
Non-membrane equipment and facilities, excluding the pumps, were grouped into four main categories: (1) pipes and valves; (2) instruments and controls; (3) tanks and frames; and (4) miscellaneous. The capital cost of each is correlated to the membrane area as follows (Sethi and Wiesner [20])
Pipes and valves
Instruments and controls
Tanks and frames
Miscellaneous
Annual capital cost
The capital cost can be annualized using the amortization factor as
For the plant design year of 20 years and the interest rate 8%, the amortization factor will be about 0.1.
In the problem, some variables, called input variables, are fixed due to the requirement of the design. In membrane design, these are feed flow
The design variables were: channel geometry (width × length × height), the inlet pressure (
The objective function is the sum of capital cost and operating cost, which were annualized:
The pressure at the outlet point should be positive. This constraint is satisfied by assigning a high value to the objective function if the outlet pressure is negative.
The decision variables are frequently limited on a finite range
in which
The system parameters and variables are summarized in Table 5.
Parameters | Value |
---|---|
Feed flow rate (m3/hr) | 0.02–200 |
Inlet pressure (kPa) | 200–1000 |
Recirculation flow rate (m3/hr) | 0–50 |
Initial solid fraction (m3/m3) | 0.1 |
Final solid fraction (m3/m3) | 0.4 |
Plant design year (year) | 20 |
Interest rate (%) | 8 |
Energy price ($/kWh) | 0.08 |
Efficiency of pumps (%) | 70 |
Operating temperature (°C) | 25 |
Module height (mm) | 0–100 |
Module width (m) | 0–30 |
System parameters and variables.
The parameters of GA such as population size, crossover probability, mutation probability values were set to be, 100, 1.0, and 0.30, respectively. The selection was based on roulette wheel with elitism, which means the most fit individual is guaranteed a place in the next generation. The number of generations was assigned to be 500. Because the problem is to minimize the cost, the fitness function was defined as:
For the demonstration of this method, optimum designs of several feed flow rates have been carried out. The lower limit of the membrane width is 0.1 m, the lower limit for the module height is 0.5 mm. The designs are shown in Table 6.
Feed [m3/hr] | Pressure [kPa] | Recirculation [m3/hr] | width [m] | height [mm] | total cost [$/yr] | ||
---|---|---|---|---|---|---|---|
0.02 | 0.1 | 0.4 | 523 | 2.8 | 0.1 | 5.0 | 1.29 × 103 |
0.2 | 0.1 | 0.4 | 1000 | 4.9 | 0.1 | 8.9 | 4.30 × 103 |
2 | 0.1 | 0.4 | 1000 | 0.2 | 0.1 | 6.9 | 1.18 × 104 |
20 | 0.1 | 0.4 | 987 | 0.2 | 1.3 | 5.0 | 5.60 × 104 |
200 | 0.1 | 0.4 | 1000 | 0.8 | 11.1 | 5.0 | 3.65 × 105 |
Optimum designs of membrane module.
Figure 4 presents the optimum total cost per unit of feed flow. The cost per unit of feed flow decreases with an increase in plant capacity. It reflects the economies of scale.
The behavior of cost per unit flow rate design in optimum condition with plant capacity.
The results also suggest that the membrane module dimensions and operation condition will change greatly depending on the process requirements, such as the required feed capacity. It is challenging to predict the direction. It might be concluded that the permeate flux also greatly affects the geometric design and operation strategy in membrane separation processes. It is difficult to find a general rule for the design, for each specific system, the correlation between the permeate flux and operating conditions and membrane geometry should be investigated.
Fuel cells that are highly effective and green technology for converting chemical energy stored in fuel to useable power are currently regarded as one of the most promising approaches for future energy requirements [35]. The solid oxide fuel cell (SOFC) has demonstrated an exceptional integration of advantages, such as high efficiency, fuel flexibility, wide contamination acceptance, and low pollution [36, 37]. Modeling and simulation are valuable tools for determining the impact of various design factors and operating conditions on cell performance, as well as for improving fuel cells [38, 39, 40]. Plenty of models have been reported to add to the understanding of fuel cells. Modeling approaches can be categorized into two types: theoretical and empirical one [39, 41, 42]. In the theoretical approach, the spatial dimensions of the models range from simple 0 (0-D) [43, 44] and 1 (1-D) [42, 45, 46, 47], to more complicated 2 (2-D) [48, 49, 50, 51] and 3 (3-D) [52, 53, 54], all with various characteristics and directed at different objectives. The mathematical models, which are based on conservation principles, require a lot of data on parameters and properties of fuel cell, as well as complicated equations and time-consuming calculation.
Empirical or data-driven approach may be more feasible for fuel cell users since the behavior can be quickly and simply deduced without a comprehensive understanding of the internal components, just based on the experimental data [39, 41]. Least squares support vector machine (LS-SVM) [55], Hammerstein model [56, 57] are examples of these approaches. In this approach, artificial neural network (ANN) shows several advantages, including high nonlinearity, rapid computation, a low degree of error in matching experimental data. Using ANNs to model SOFCs appears to be a very promising method.
In this section, an ANN was used to model the performance of the BSCF/GDC-based cathode SOFC. The cell voltage was predicted from cathode sintering temperature, cell operating temperature, and cell current. Several network architectures were examined to find the best structure, and the network was trained using back-propagation methods. The data for training, validation, and testing were taken from our study [58]. The genetic algorithm and the developed ANN were then used to find the best conditions for achieving maximum power.
Artificial neural networks (ANNs), which were analogous to biological nervous systems, consist of interconnected nodes known as neurons to receive and transfer data [59]. The most basic form, feed-forward architecture, is made up of an input layer, one hidden layers, and an output layer. The input and output layers have the same number of neurons as the number of inputs and outputs in the system to be modeled. Weighted connections connect each neuron to every other neuron in the next layer. In any layer except the input, the weighted sum of data from the previous layer is the input of a neuron. The neuron then activates the data using a function and transfers the response to all neurons in the next layer. The size of the hidden layers is a significant factor that affects the estimation precision because it can make the network become insufficient or overfitting [60]. The number of neurons in hidden layer is generally determined through trials. Figure 5 illustrates a 3–5-1 feed forward artificial neural network with operating temperature, sintering temperature, and current as inputs.
Artificial neural network (3–5-1) structure.
The activation function employed in this model is the logistic sigmoid
The input data (
in which xmax and xmin are the bounded interval of the experimental data.
To assess the performance of ANN, the mean squared error (MSE) and coefficient of determination (R2) are usually used [61].
Various factors affect the performance of fuel cells such as cathode and anode structure, electrolyte material and thickness, cell temperature, inlet and outlet gas compositions. Two important factors, cathode sintered temperature and cell operating temperature, were considered in this model. The sintered temperature is from 1000–1050°C, whereas the operating temperature ranges from 625–700°C. The sintered temperature affects the structure of the obtained cathode as reported in [58]. The explanation of the range for the investigated parameters can be found in [62].
An ANN with one input layer, one hidden layer, and one single output layer was proposed. Current density, sintered temperature of the cathode, and cell operating temperature are the inputs. Back-propagation algorithm [63] was used to train the network. The maximum number of iteration and minimum performance gradient were set to 400 and 10−5, respectively, to stop the training. The proper network structure is determined through a series of trial tests. The data were split into three subsets at random: training, validation, and test, each containing 70, 20, 10% of the total samples, respectively. The validation and test sets are necessary for evaluating the validation and power of the networks.
The parameters of the neural network were saved and utilized in the next stage to optimize the power density using genetic algorithms.
The objective function is the power density of the fuel cell
where
The design variables and their corresponding ranges are summarized as follows:
sintered temperature of the cathode, [1000–1050] (°C).
operating temperature of the cell, [625–700] (°C).
electric current of the cell, [0–1500] (mA.cm−2)
The parameters of GA as population size, mutation probability values were set to be 100 and 0.10, respectively. The survival of the individuals was decided by roulette wheel with elitism. The number of generations was 500.
Figure 6 depicts the fitness values (maximum and mean) of the population versus generation. As indicated in the figure, after about 20 generations, the value of fitness function attained to a maximum value and then remained unchanged. After 100 generations, the maximum fuel cell power density of 451.64 mW/cm2 could be achieved at the sintered temperature of 1005°C, operating temperature of 668°C, and current density of 777 mA/cm2.
The fitness values versus generation.
The application of genetic algorithm in chemical engineering processes has been illustrated by three case studies. The results suggest that the optimum conditions of complex chemical problems can be easily obtained using genetic algorithm. The successes of genetic algorithm for the challenging problems reported herein, the development of many faster and flexible versions of GA, the improvement of computing ability all suggest the continually increasing impact of metaheuristic methods in chemical engineering systems.
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Werneck, Regina C. S. B. Allil,\nBessie A. Ribeiro and Fábio V. B. de Nazaré",authors:[{id:"37623",title:"Prof.",name:"Marcelo",middleName:"M",surname:"Werneck",slug:"marcelo-werneck",fullName:"Marcelo Werneck"},{id:"61263",title:"Dr.",name:"Regina",middleName:"Célia",surname:"Allil",slug:"regina-allil",fullName:"Regina Allil"},{id:"167291",title:"MSc.",name:"Bessie",middleName:null,surname:"Ribeiro",slug:"bessie-ribeiro",fullName:"Bessie Ribeiro"},{id:"167292",title:"D.Sc.",name:"Fábio",middleName:"V. B. De",surname:"Nazaré",slug:"fabio-nazare",fullName:"Fábio Nazaré"}]},{id:"15098",doi:"10.5772/15736",title:"Silicon Carbide: Synthesis and Properties",slug:"silicon-carbide-synthesis-and-properties",totalDownloads:23074,totalCrossrefCites:27,totalDimensionsCites:65,abstract:null,book:{id:"83",slug:"properties-and-applications-of-silicon-carbide",title:"Properties and Applications of Silicon Carbide",fullTitle:"Properties and Applications of Silicon Carbide"},signatures:"Houyem Abderrazak and Emna Selmane Bel Hadj Hmida",authors:[{id:"18643",title:"Dr.",name:"Houyem",middleName:null,surname:"Abderrazak",slug:"houyem-abderrazak",fullName:"Houyem Abderrazak"},{id:"23082",title:"Dr.",name:"Emna Selmane",middleName:null,surname:"Bel Hadj Hmida",slug:"emna-selmane-bel-hadj-hmida",fullName:"Emna Selmane Bel Hadj Hmida"}]},{id:"61428",doi:"10.5772/intechopen.76161",title:"Printing Technologies on Flexible Substrates for Printed Electronics",slug:"printing-technologies-on-flexible-substrates-for-printed-electronics",totalDownloads:3242,totalCrossrefCites:38,totalDimensionsCites:61,abstract:"Printing technologies have been demonstrated to be highly efficient and compatible with polymeric materials (both inks and substrates) enabling a new generation of flexible electronics applications. Conductive flexible polymers are a new class of materials that are prepared for a wide range of applications, such as photovoltaic solar cells, transistors molecular devices, and sensors and actuators. There are many possible printing techniques. This chapter provides an opportunity to review the most common printing techniques used at the industrial level, the most commonly used substrates and electronic materials, giving an overall vision for a better understanding and evaluation of their different features. Several technological solutions (contact/noncontact) and its critical challenges are also presented. Inkjet Printing Technology (IPT) has been receiving a great attention and therefore higher focus is given to this technology. An overview of IPT is presented to evidence its importance and potential as a key-technology on the research field for printed electronics development, as well as on large scale industrial manufacturing. A background and a review on prior work are presented along with used materials, developed applications and potential of IPT technology. The main features of the different printing technologies, advantages and main challenges are also compared.",book:{id:"6765",slug:"flexible-electronics",title:"Flexible Electronics",fullTitle:"Flexible Electronics"},signatures:"Sílvia Manuela Ferreira Cruz, Luís A. Rocha and Júlio C. Viana",authors:[{id:"15565",title:"Prof.",name:"Julio",middleName:null,surname:"Viana",slug:"julio-viana",fullName:"Julio Viana"},{id:"238389",title:"Ph.D.",name:"Sílvia",middleName:null,surname:"Cruz",slug:"silvia-cruz",fullName:"Sílvia Cruz"},{id:"247716",title:"Prof.",name:"Luís",middleName:null,surname:"Rocha",slug:"luis-rocha",fullName:"Luís Rocha"}]}],mostDownloadedChaptersLast30Days:[{id:"70315",title:"Some Basic and Key Issues of Switched-Reluctance Machine Systems",slug:"some-basic-and-key-issues-of-switched-reluctance-machine-systems",totalDownloads:1238,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"Although switched-reluctance machine (SRM) possesses many structural advantages and application potential, it is rather difficult to successfully control with high performance being comparable to other machines. Many critical affairs must be properly treated to obtain the improved operating characteristics. This chapter presents the basic and key technologies of switched-reluctance machine in motor and generator operations. The contents in this chapter include: (1) structures and governing equations of SRM; (2) some commonly used SRM converters; (3) estimation of key parameters and performance evaluation of SRM drive; (4) commutation scheme, current control scheme, and speed control scheme of SRM drive; (5) some commonly used front-end converters and their operation controls for SRM drive; (6) reversible and regenerative braking operation controls for SRM drive; (7) some tuning issues for SRM drive; (8) operation control and some tuning issues of switched-reluctance generators; and (9) experimental application exploration for SRM systems—(a) wind generator and microgrid and (b) EV SRM drive.",book:{id:"8899",slug:"modelling-and-control-of-switched-reluctance-machines",title:"Modelling and Control of Switched Reluctance Machines",fullTitle:"Modelling and Control of Switched Reluctance Machines"},signatures:"Chang-Ming Liaw, Min-Ze Lu, Ping-Hong Jhou and Kuan-Yu Chou",authors:[{id:"37616",title:"Prof.",name:"Chang-Ming",middleName:null,surname:"Liaw",slug:"chang-ming-liaw",fullName:"Chang-Ming Liaw"},{id:"306461",title:"Mr.",name:"Min-Ze",middleName:null,surname:"Lu",slug:"min-ze-lu",fullName:"Min-Ze Lu"},{id:"306463",title:"Mr.",name:"Ping-Hong",middleName:null,surname:"Jhou",slug:"ping-hong-jhou",fullName:"Ping-Hong Jhou"},{id:"306464",title:"Mr.",name:"Kuan-Yu",middleName:null,surname:"Chou",slug:"kuan-yu-chou",fullName:"Kuan-Yu Chou"}]},{id:"52822",title:"Non-Orthogonal Multiple Access (NOMA) for 5G Networks",slug:"non-orthogonal-multiple-access-noma-for-5g-networks",totalDownloads:14819,totalCrossrefCites:27,totalDimensionsCites:37,abstract:"In this chapter, we explore the concept of non-orthogonal multiple access (NOMA) scheme for the future radio access for 5G. We first provide the fundamentals of the technique for both downlink and uplink channels and then discuss optimizing the network capacity under fairness constraints. We further discuss the impacts of imperfect receivers on the performance of NOMA networks. Finally, we discuss the spectral efficiency (SE) of the networks that employ NOMA with its relations with energy efficiency (EE). We demonstrate that the networks with NOMA outperform other multiple access schemes in terms of sum capacity, EE and SE.",book:{id:"5480",slug:"towards-5g-wireless-networks-a-physical-layer-perspective",title:"Towards 5G Wireless Networks",fullTitle:"Towards 5G Wireless Networks - A Physical Layer Perspective"},signatures:"Refik Caglar Kizilirmak",authors:[{id:"188668",title:"Dr.",name:"Refik Caglar",middleName:null,surname:"Kizilirmak",slug:"refik-caglar-kizilirmak",fullName:"Refik Caglar Kizilirmak"}]},{id:"77871",title:"Protection of Microgrids",slug:"protection-of-microgrids",totalDownloads:279,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The concept of microgrids goes back to the early years of the electricity industry although the systems then were not formally called microgrids. Today, two types of microgrids can be seen: independent and grid connected. The protection requirement of these two types differs as the protection needs of an independent microgrid are intended for protecting components and systems within the microgrid, whereas a grid connected microgrid demands both internal and external protection. The first part of this chapter is dedicated to independent microgrids. How protection devices such as residual current circuit breakers, miniature and moulded case circuit breakers, and surge protective devices should be selected for an example microgrid is discussed while referring to the relevant standards. In the next section, the protection of a grid connected microgrid is discussed. Particularly, micro-source protection, microgrid protection, loss of mains protection and fault ride-through requirements are discussed while referring to two commonly used distributed generator connection codes. An example with simulations carried out in the IPSA simulation platform was used to explain different protection requirements and calculation procedures. Finally, grounding requirements are discussed while referring to different interfacing transformer connections and voltage source inverter connections.",book:{id:"10176",slug:"microgrids-and-local-energy-systems",title:"Microgrids and Local Energy Systems",fullTitle:"Microgrids and Local Energy Systems"},signatures:"Janaka Ekanayake",authors:[{id:"328170",title:"Prof.",name:"Janake",middleName:null,surname:"Ekanayake",slug:"janake-ekanayake",fullName:"Janake Ekanayake"}]},{id:"47585",title:"Free Space Optical Communications — Theory and Practices",slug:"free-space-optical-communications-theory-and-practices",totalDownloads:9023,totalCrossrefCites:43,totalDimensionsCites:57,abstract:null,book:{id:"4473",slug:"contemporary-issues-in-wireless-communications",title:"Contemporary Issues in Wireless Communications",fullTitle:"Contemporary Issues in Wireless Communications"},signatures:"Abdulsalam Ghalib Alkholidi and Khaleel Saeed Altowij",authors:[{id:"100466",title:"Dr.",name:"Abdulsalam",middleName:null,surname:"Alkholidi",slug:"abdulsalam-alkholidi",fullName:"Abdulsalam Alkholidi"},{id:"131091",title:"MSc.",name:"Khalil",middleName:null,surname:"Altowij",slug:"khalil-altowij",fullName:"Khalil Altowij"}]},{id:"41657",title:"Algorithms for Efficient Computation of Convolution",slug:"algorithms-for-efficient-computation-of-convolution",totalDownloads:10069,totalCrossrefCites:15,totalDimensionsCites:20,abstract:null,book:{id:"3158",slug:"design-and-architectures-for-digital-signal-processing",title:"Design and Architectures for Digital Signal Processing",fullTitle:"Design and Architectures for Digital Signal Processing"},signatures:"Karas Pavel and Svoboda David",authors:[{id:"154795",title:"Ph.D. Student",name:"Pavel",middleName:null,surname:"Karas",slug:"pavel-karas",fullName:"Pavel Karas"},{id:"155141",title:"Dr.",name:"David",middleName:null,surname:"Svoboda",slug:"david-svoboda",fullName:"David Svoboda"}]}],onlineFirstChaptersFilter:{topicId:"116",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82123",title:"Microwave-Assisted Pyrolysis Process: From a Laboratory Scale to an Industrial Plant",slug:"microwave-assisted-pyrolysis-process-from-a-laboratory-scale-to-an-industrial-plant",totalDownloads:4,totalDimensionsCites:0,doi:"10.5772/intechopen.104925",abstract:"One of the great challenges for the European Union (EU) is the “Circular Economy Package,” and to achieve this goal, materials at the end of their life cycle must be recycled using a sustainable process. In this way, as a thermochemical treatment, pyrolysis represents a significant opportunity so long it leads to the recovery of both energy and chemical content of mixed, contaminated, or deteriorated plastics. An excellent history of an academic-industrial adventure started in 2008 at the Department of Chemistry of the University of Florence demonstrates the possibility of employing microwaves to recycle plastics to preserve their energy and chemical content. After that, Techwave started industrialization of the process in 2019, realizing a small-scale prototype followed by a full-scale pilot plant using different plastic materials (e.g., polystyrene, acrylonitrile-butadiene-styrene (ABS), and polypropylene). Nowadays, the plant may process 90 kg/h of plastics with a low formation of char and gas and an interesting amount of liquid useful as a source of chemicals or fuel because it has an LHV of 35–43 kJ/kg. The Microwave-Assisted Pyrolysis (MAP) is an industrial novelty in plastic recycling, and it looks very promising for a much more modern and innovative plastic waste recovery system.",book:{id:"11145",title:"Recent Microwave Technologies",coverURL:"https://cdn.intechopen.com/books/images_new/11145.jpg"},signatures:"Marco Frediani, Piero Frediani, Gianni Innocenti, Irene Mellone, Roberto Simoni and Gianpaolo Oteri"},{id:"82420",title:"Applications of Microwaves in Medicine and Biology",slug:"applications-of-microwaves-in-medicine-and-biology",totalDownloads:7,totalDimensionsCites:0,doi:"10.5772/intechopen.105492",abstract:"This chapter deals with the description of recent research activities oriented on the perspective of microwave technologies in medicine and biology. It brings new ideas about the possibilities of using microwaves in thermotherapy—above all toward hyperthermia in cancer treatment. Development of new types of hyperthermia applicators (based, e.g., on technologies such as metamaterials, evanescent modes in waveguides, and other types of transmission structures) will be discussed here. Furthermore, we would like to underline in this chapter perspectives of microwaves in medical diagnostics. It is possible to expect that, e.g., microwave differential tomography, UWB radar, and microwave radiometers (all three can be used both for medical diagnostic and for noninvasive temperature measurement) will soon play an important role in it. Finally, experimental equipment necessary for research on the biological effects of EM fields is presented.",book:{id:"11145",title:"Recent Microwave Technologies",coverURL:"https://cdn.intechopen.com/books/images_new/11145.jpg"},signatures:"David Vrba, Jan Vrba, Ondrej Fiser, Jesus Cumana, Milan Babak and Jan Vrba Senior"},{id:"81917",title:"Fluidics for Reconfigurable Microwave Components",slug:"fluidics-for-reconfigurable-microwave-components",totalDownloads:11,totalDimensionsCites:0,doi:"10.5772/intechopen.104857",abstract:"Dielectric and conducting liquids with varying electromagnetic properties can offer novel alternatives for building tunable microwave passive components as well as antennas. Injecting these fluidics in or around microwave substrates alters their overall electrical characteristics, enabling circuit reconfigurability. Alternatively, changing the shapes and dimensions of conductors by using liquid metals can achieve similar reconfigurability. An overview of different liquids and their electromagnetic properties is first given. The principles behind the reconfigurability of the electrical characteristics of typical guiding structures based on mode shape variation in the presence of fluids are discussed. The realization of an N-bit programmable impedance tuner in 3D LTCC technology based on these principles is presented.",book:{id:"11145",title:"Recent Microwave Technologies",coverURL:"https://cdn.intechopen.com/books/images_new/11145.jpg"},signatures:"Dorra Bahloul, Ines Amor and Ammar Kouki"},{id:"82046",title:"One Model of Microwave Heating of Water Drop",slug:"one-model-of-microwave-heating-of-water-drop",totalDownloads:7,totalDimensionsCites:0,doi:"10.5772/intechopen.104949",abstract:"This work deals with the modeling of microwave heating of a water drop. A drop model is reduced to its electric dipoles, masses, and charges are constructed using the associating of COMSOL Multiphysics and Matlab software. The considered model proposes a microscopic point of view on microwave heating, which transforms electrical energy into heat.",book:{id:"11145",title:"Recent Microwave Technologies",coverURL:"https://cdn.intechopen.com/books/images_new/11145.jpg"},signatures:"Serge Lefeuvre and Olga Gomonova"},{id:"82076",title:"Power Divider/Combiner",slug:"power-divider-combiner",totalDownloads:13,totalDimensionsCites:0,doi:"10.5772/intechopen.104911",abstract:"With the remarkable progress in the use of Internet of Things (IoT) and 5G, there is a demand for higher performance such as miniaturization, broadband/multiband, low loss, and high integration for several microwave circuits. This chapter treats microwave power dividers/combiners used in amplifiers, mixers, phase shifters, antenna feeding networks, and so on. Here, the treated circuits are composed of LC-ladder circuits and an absorption resistor. It shows that multiband (dual-band and tri-band) and broadband can be achieved by changing the number of stages of the LC-ladder circuit. In addition, the effectiveness of this design method is demonstrated by electromagnetic simulations and prototype experiments.",book:{id:"11145",title:"Recent Microwave Technologies",coverURL:"https://cdn.intechopen.com/books/images_new/11145.jpg"},signatures:"Tadashi Kawai, Ayumu Tsuchiya and Akira Enokihara"},{id:"82035",title:"Orbital Angular Momentum Wave and Propagation",slug:"orbital-angular-momentum-wave-and-propagation",totalDownloads:33,totalDimensionsCites:0,doi:"10.5772/intechopen.104477",abstract:"Orbital angular momentum (OAM) techniques are exploited for a wide range of potential radiofrequency (RF) and electromagnetic applications, including megahertz-through-terahertz wireless systems, fiber-based and free-space optical communications and sensing, just like acoustic and any other wave-based counterparts. In those RF and electromagnetic applications, OAM wave is set to enable the development of high-speed and high-capacity communications, radar imaging, and sensing systems, among many others. In this chapter, a comprehensive comparison between plane wave and OAM wave propagation using a patch antenna as a radiator at 2.45 GHz is presented and discussed. This comparison allows the appreciation of the fundamental properties of the OAM wave when compared against its plane wave counterpart. For simplified comparison and discussion, we will use two abbreviated terms: PWPA for plane-wave patch antenna and OWPA for OAM wave patch antenna. PWPA refers to as planar patch antenna that produces plane waves in far-field, whereas patch antenna that delivers OAM waves in far-field is termed as OWPA. In this context, all physical quantities for wave propagation such as electric field, magnetic field, wave impedance, wave vector, velocity, pitch, and propagation constant are theoretically studied for OAM waves and compared with plane waves. First, OAM wave generation is studied through widely used uniform circular antenna array (UCAA) in literature. Then, plane wave patch antenna (PWPA) and OAM wave patch antenna (OWPA) are designed and verified through simulation and measurement. OWPA is designed with characteristic mode analysis (CMA) based on a lossy substrate to excite a twisting wave at a determined patch location. With this in mind, a comparative investigation of PWPA and OWPA is conducted for different physical parameters. Cylindrical near-field scan clearly shows a helical wave motion for OWPA, whereas a normal plane wave motion for PWPA. Furthermore, the comparison of plane wave and OAM wave propagation is demonstrated using the combination of a Tx–Rx antenna pair. It is observed that the overall signal from OWPA can be received with two PWPAs at an angle as OWPA has a dispersive beam. Moreover, the receiving antenna with a large aperture and plane wave horn antenna (PWHA) in the line of sight (LOS) range can also be used to receive the overall signal from OWPA. The received signal in PWPA–PWPA, OWPA–OWPA, OWPA–PWPA–PWPA, OWPA–PWHA Tx–Rx pairs is thoroughly compared and studied. Measured and simulated results for transmission are −30 dB for 0 dB input signal in OWPA–PWPA–PWPA and OWPA–PWHA cases, which are reasonably justified within the sensitivity/dynamic range of short-distance communication and radar sensing receivers.",book:{id:"11145",title:"Recent Microwave Technologies",coverURL:"https://cdn.intechopen.com/books/images_new/11145.jpg"},signatures:"Pankaj Jha and Ke Wu"}],onlineFirstChaptersTotal:14},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:89,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:318,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:129,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:106,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:15,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. 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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:"June 29th, 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,annualVolume:11410,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,annualVolume:11411,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. 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In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. 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She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. 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Waisundara",profilePictureURL:"https://mts.intechopen.com/storage/users/194281/images/system/194281.jpg",biography:"Dr. Viduranga Waisundara obtained her Ph.D. in Food Science\nand Technology from the Department of Chemistry, National\nUniversity of Singapore, in 2010. She was a lecturer at Temasek Polytechnic, Singapore from July 2009 to March 2013.\nShe relocated to her motherland of Sri Lanka and spearheaded the Functional Food Product Development Project at the\nNational Institute of Fundamental Studies from April 2013 to\nOctober 2016. She was a senior lecturer on a temporary basis at the Department of\nFood Technology, Faculty of Technology, Rajarata University of Sri Lanka. She is\ncurrently Deputy Principal of the Australian College of Business and Technology –\nKandy Campus, Sri Lanka. She is also the Global Harmonization Initiative (GHI)",institutionString:"Australian College of Business & Technology",institution:null}]},{type:"book",id:"6820",title:"Keratin",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6820.jpg",slug:"keratin",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Miroslav Blumenberg",hash:"6def75cd4b6b5324a02b6dc0359896d0",volumeInSeries:2,fullTitle:"Keratin",editors:[{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"}}}]},{type:"book",id:"7978",title:"Vitamin A",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7978.jpg",slug:"vitamin-a",publishedDate:"May 15th 2019",editedByType:"Edited by",bookSignature:"Leila Queiroz Zepka, Veridiana Vera de Rosso and Eduardo Jacob-Lopes",hash:"dad04a658ab9e3d851d23705980a688b",volumeInSeries:3,fullTitle:"Vitamin A",editors:[{id:"261969",title:"Dr.",name:"Leila",middleName:null,surname:"Queiroz Zepka",slug:"leila-queiroz-zepka",fullName:"Leila Queiroz Zepka",profilePictureURL:"https://mts.intechopen.com/storage/users/261969/images/system/261969.png",biography:"Prof. Dr. Leila Queiroz Zepka is currently an associate professor in the Department of Food Technology and Science, Federal University of Santa Maria, Brazil. She has more than fifteen years of teaching and research experience. She has published more than 550 scientific publications/communications, including 15 books, 50 book chapters, 100 original research papers, 380 research communications in national and international conferences, and 12 patents. She is a member of the editorial board of five journals and acts as a reviewer for several national and international journals. 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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. 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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. 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