Journal Articles - Engineering Technology - 2022
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PublicationA novel gold nanoparticle-based colorimetric assay for highly sensitive detection of ascorbic acid( 2022)
;Thi Hong Anh Nguyen ;Vu Tuyet Mai Nguyen ;Van Thuan Le ;Van-Dat Doan ;Tan Phat Chau ;Van Cuong Nguyen ;Anh-Tien NguyenYasser VasseghianIn this study, a novel approach for colorimetric detection of ascorbic acid (AA) was proposed based on the peroxidase-like activity of gold nanoparticles, which were synthesized using Oldenlandia corymbosa leaves extract (OC-AuNPs). The OC-AuNPs synthesis was optimized at 0.5 mM Au3+, a reaction time of 20 min, and a temperature of 60 °C. The results showed that the biogenic OC-AuNPs presented as highly-efficient peroxidase mimics for catalyzing H2O2 to oxidize 3,3′,5,5′-tetramethylbenzidine forming a typical blue product with the characteristic absorption at 654 nm. The developed colorimetric method exhibited high sensitivity for AA with a detection limit of 0.26 μM in the linear range of 0 – 100 μM. The proposed assay can be serviced as a sensitive biosensor for the determination of AA in aqueous solutions due to its simple detection procedure, fast operation, and high sensitivity. -
PublicationA semi-empirical approach and uncertainty analysis to pipes under hydrogen embrittlement degradation( 2022)
;Hieu Chi Phan ;Luan Le-ThanhH. Nguyen-XuanThe Hydrogen Embrittlement (HE) appearance is the main reason for the desire to evaluate the burst pressure of pipes. Several existing models predict burst pressure of hydrogen-induced pre-cracking pipes with the fracture mechanics criterion (fracture toughness, Jcr). Still, none of them has taken into account the model uncertainty. In this paper, we propose a surrogated model associated with molecular models. The discrete values of the dimensionless influence functions presented for elastic and plastic components of J are connected by machine learning (Random Forest Regression, RFR) and third-order polynomial functions with optimized factors to avoid the inconvenience of using the lookup table. The molecular empirical models are obtained by the up-to-date Balancing Composite Motion Optimization (BCMO) algorithm. Because samples of elastic and plastic databases are limited and the final output, Pb, is not directly derived from molecular models, all databases are used for training without the conventional data splitting to train and test sets. Consequently, the proposed approaches (RFR model and Empirical model) are validated based on the experiments collected globally. The final models are accounted for the residual distribution as the unavoidable component. The efficiency of the Random Forest and empirical models is validated by experiments or simulations from the literature when the evaluation metrics (i.e., R-square, Mean Absolute Error) are (0.9666, 0.8695 MPa) and (0.9701, 0.7996 MPa), respectively. The drawbacks of the proposed models, heavily dependent on databases, are also illustrated and discussed for further development. Strict boundaries of input and output, especially the fracture toughness, which is commonly degraded due to the effect of HE, from the test set combined with the uncertainty of the models based on the analysis of model residuals are also proposed for validation. -
PublicationA Study on the System Design of Eco-Friendly Smart Farm Using the Internet of Things and Renewable Energy( 2023)
;Chun HyunjinHuynh Thanh QuyenThe environment changes rapidly due to climate change. This situation has a great influence on the agricultural sector. In particular, prices of agricultural products rise as space for producing agricultural products around the world decreases. To solve this problem, smart farm is recognized as major technologies in the future society. In particular, in the era of the 4th Industrial Revolution, new technologies such as the Internet of Things (IOT) and artificial intelligence will be installed in smart farm. In addition, with the development of the Internet of Things (IOT) technology, temperature, humidity, and concentration of fluids in plant factories can be monitored and controlled with smart-phone through various sensors. This IoT technology is recognized as a very important technology for smart farm. In addition, a sustainable smart farm model by converging with eco-friendly IT technology is also important. Therefore, in this paper, a study was conducted on the system design of eco-friendly smart farm using the Internet of Thing. Such smart farm technology can remotely manage plants through the Internet of Things. The research methods of this study are as follows. First, a literature study was conducted in this paper. Based on this literature study, the researcher conducted a field survey on smart farm. The researcher visited this space in person and conducted in-depth interviews with operators and researchers. The researcher analyzed the results derived through this survey and suggested the design principle for the eco-friendly smart farm system. In addition, this study proposes a method for using the Internet of Things and renewable energy for smart farms in preparation for the era of climate change. The results of this study can be theoretical basic data for changes in the agricultural field in the era of the Fourth Industrial Revolution. -
PublicationA viable bioremediation strategy for treating paper and pulp industry effluents and assessing the prospect of resulted bacterial biomass as single cell protein (SCP) using indigenous bacterial species( 2022)Jutamas Khumchai, Anupong Wongchai, Ruangwong On-uma, Amal Sabour, Maha Alshiekheid, Mathiyazhagan Narayanan, Indira Karuppusamy, Arivalagan Pugazhendhi, Kathirvel Brindhadevi, Nguyen Thuy Lan ChiAim of this research was to treat the organics enriched Paper and Pulp Industry (PPI) effluents using multi-metal tolerant predominant indigenous bacterial species. In addition, assessing the potential of treated bacterial biomass as a single cell protein (SCP). The multi-metal tolerant Streptomyces tuirus OS1 was enumerated from the Paper and Pulp Industry (PPI) effluents was identified through standard molecular characterization. S. tuirus OS1 proficiently ameliorated organic contaminants in PPI effluent in the in study at 35 ◦C, 45 ◦C, and 25 ◦C. Fortunately, the S. tuirus OS1 considerably increased the dissolved oxygen level in treated PPI effluent in 30 days of bioremediation process. Interestingly, at 35 ◦C of bioremediation process the S. tuirus OS1 demonstrated increased dried biomass (7.1 g L 1) with the total crude protein (SCP) as 5.3 g L 1 (78.79%) in 30 days of bioremediation process. These findings suggest that S. tuirus OS1 is capable of reducing organic pollutants in PPI effluents and producing biomass with enriched protein content.
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PublicationAn assessment of biochar as a potential amendment to enhance plant nutrient uptake( 2022)Jinbo Hou, Arivalagan Pugazhendhi, Raveendran Sindhu, Vandana Vinayak, Nguyen Chi Thanh, Kathirvel Brindhadevi, Nguyen Thuy Lan Chi, Deyi YuanIn a desperate attempt to find organic alternatives to synthetic fertilizers, agricultural scientists are increasingly using biochar as a soil amendment. Using chemical fertilizers results in enormous financial burdens and chronic health problems for plants and soils. Global concerns have also increased over the prolonged consumption of foods grown with artificial fertilizers and growth promotors. This adversely affects the environment and the welfare of humans, animals, and other living organisms. This way, organic biofertilizers have established a sustainable farming system. In such a context, biochar is gaining much attention among scientists as it may improve the overall performance of plants; in particular, crops have been optimistically cultivated with the addition of various sources. Field experiments have been conducted with multiple plant-based biochars and animal manure-based biochar. Plants receive different essential nutrients from biochar due to their physicochemical properties. Despite extensive research on biochar’s effects on plant growth, yield, and development, it is still unknown how biochar promotes such benefits. Plant performance is affected by many factors in response to biochar amendment, but biochar’s effect on nutrient uptake is not widely investigated. We attempted this review by examining how biochar affects nutrient uptake in various crop plants based on its amendment, nutrient composition, and physicochemical and biological properties. A greater understanding and optimization of biochar-plant nutrient interactions will be possible due to this study.
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PublicationApproximation of the initial value for damped nonlinear hyperbolic equations with random Gaussian white noise on the measurements( 2022)
;Phuong Nguyen Duc ;Erkan Nane ;Omid NikanNguyen Anh TuanThe main goal of this work is to study a regularization method to reconstruct the solution of the backward non-linear hyperbolic equation $ u_{tt} + \alpha\Delta^2u_t +\beta \Delta ^2u = \mathcal{F}(x, t, u) $ come with the input data are blurred by random Gaussian white noise. We first prove that the considered problem is ill-posed (in the sense of Hadamard), i.e., the solution does not depend continuously on the data. Then we propose the Fourier truncation method for stabilizing the ill-posed problem. Base on some priori assumptions for the true solution we derive the error and a convergence rate between a mild solution and its regularized solutions. Also, a numerical example is provided to confirm the efficiency of theoretical results -
PublicationBioremediation competence of Aspergillus flavus DDN on pond water contaminated by mining activities( 2022)Wongchai Anupong, Khumchai Jutamas, Ruangwong On-uma, Maha Alshiekheid, Amal Sabour, Ramakrishnan Krishnan, Nguyen Thuy Lan Chi, Arivalagan Pugazhendhi, Kathirvel BrindhadeviThis research was performed to evaluate the possibilities of reducing the physicochemical properties of polluted pond water situated around the magnesite mine tailing through indigenous metal tolerant fungi. The physicochemical analysis results revealed that most of the physicochemical properties of pond water sample were crossing the permissible limits. From the muddy pond soil sample, Aspergillus flavus DDN was identified (through molecular characterization) as predominant metal tolerant fungal strain and it showed resistance to Cr(VI), Pb (II), Zn(II), Cd(II), and Mg(IV) up to 1000 μg mL 1 concentrations. This strain also effectively reduced (through biosorption) these metals in a short duration of the bioremediation process. In a lab-scale bioremediation study the A. flavus DDN significantly reduced most of the physicochemical parameters crossing the permissible limit in polluted pond water in the presence of FM1 minimal media in 10 days of incubation. The dissolved oxygen level was significantly increased up to 74.91% from 5.86 ± 0.39 to 10.25 ± 0.95 in 10 days of treatment. The metal reduction and other physicochemical properties reduction were directly related to the biomass of A. flavus DDN. These findings suggest that A. flavus DDN can remove pollutants from magnesite mine tailing polluted pond water because elevated fungal biomass resulted in the highest percentage of pollutant reduction from the sample.
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PublicationCoal Fly Ash slag and Slag based Geopolymer as An Absorbent for The Removal of Methylene Blue in Wastewater( 2022)Nguyễn Đăng KhoaThe fly ash and slag from coal burning were attractive byproducts to prepare geopolymers for the adsorption of methyelen blue in wastewater due to their availability and low cost. Various mixing amounts between them were conducted during geopolymerization with a Na2SiO3/NaOH ratio of 10 M of 2.5 and a curing temperature of 60◦C for 24 h. When the amount of coal slag in the geopolymer composition was increased from 0 to 51 %, the surface structures of the resultant geopolymers were much softer and more porous due to the lack of initial material, causing a reduction in the surface area of geopolymers to 119,23 m2/g for 0 % and 5,29 m2/g for 51 %. The adsorption amount of methylene blue performed at pH 12 showed different tendencies on the dependence of contact time for the indivually prepared geopolymer. The uptake amount decreased from 36.2 mg/g to 34.2 mg/g with the enhancement of coal slag in the geopolymer from 0 to 51 % after 180 minutes of immersion in methylene blue solution. In addition, the adsorption mechanism evaluated by FT-IR spectroscopy was observed to involve electrostatic forces formed by hydrogen bonding between hydroxyl groups (Si–OH) and nitrogen atoms in the structure of methylene molecules. This study indicated that coal slag could be a potential material to prepare geopolymers for removing dye pollutants.
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PublicationDevelopment of renewable energy resources by green finance, volatility and risk: Empirical evidence from China( 2022)Chia-Yang Lin, Ka Yin Chau, Trung Kien Tran, Muhammad Sadiq, Le Van, Thi Thu Hien PhanGreen finance and investment in renewable energy (RE) sources are two of the most important climate change strategies that might have a long-term impact. Micro- and macro-level data from 2010 to 2021 in China used to gain a new analysis of the impact of green finance, inflationary pressures, and geopolitical risk in improving sustainability. Regression estimation methods were used to tackle this while considering direct and indirect associations between the parameter estimates. According to recent research, environmental taxes, such as those on carbon emissions, have been shown to have a large and favorable effect on profitability in RES. The volatility of oil prices and geopolitical risk, on the other hand, has a negative influence on the investment pattern for sustainable energy sources in China. The research also shows that green rules have a significant role in reducing the impact of green finance on RE production. Green companies in China should be pushed so that RE investments are regarded as a long-term strategy, according to the conclusions of the research. The study’s theoretically, and empirically conclusions have supplied policymakers and environmentalists with useful information for developing and implementing environmental initiatives with long-term financial benefits.
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PublicationDrivers of climate change in selected emerging countries: the ecological effects of monetary restrictions and expansions( 2022)Thanh Phuc Nguyen, Tho Ngoc Tran, Thi Thu Hong Dinh, Tri M. Hoang & Trang Duong Thi ThuyDrivers of environmental quality have recently been identified in a large body of literature. However, the ecological effects of both regimes of monetary policy remain under-explored so far. Moreover, previous studies use limited samples and econometric approaches. Climate change from the empirical perspective of the country’s monetary policy has recently become a promising avenue to investigate. Motivated by the aforementioned research gaps and increasing attention from energy researchers and policy-makers, this research aims to test the monetary restrictions and expansion on climate change represented by CO2 emissions, after controlling other significant drivers. We use a dataset from 1998 to 2018 for a sample of 14 selected emerging economies and quantitatively advanced techniques for panel data analysis, such as Ordinary Least Squares (OLS), Dynamic OLS, Fully-Modified OLS, and Panel Quantile Regression. We also use a two-step system generalized method of moments to avoid concerns about endogeneity and heteroskedasticity issues. We find strong evidence that contractionary and expansionary monetary policy both eliminate and escalate the environmental degradation through an increase in CO2 emissions, respectively. Moreover, these ecological effects of monetary policy interestingly appear in the middle and large quantiles of CO2 levels. Based on these findings, the research offers some key implications for policymakers looking to initiate green monetary policy for carbon abatement.
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PublicationDy3+-doped P2O5–Al2O3–K2O–CaF2–LiF glasses: thermal, spectroluminescence and photometric properties( 2022)
;K Kiran Kumar ;Ramachari Doddoji ;V B Sreedhar ;Nguyen Thi Quynh Lien ;Ho Van TuyenVasudeva Reddy Minnam ReddyFluorophosphate (PAKCLf: P2O5-Al2O3-K2O-CaF2-LiF) glasses with Dy3? concentration of 0.01, 0.05, 0.1, 0.5, 1.0, 2.0 and 3.0 mol% were fabricated by pouring the melt and sudden quenching process. The glass stability factor of 106 C was calculated by glass transition (563 C) and crystallite (669 C) temperatures. The energy bandgap (Eg) of Dy3?:PAKCLf glasses is calculated for (ahm)2 (direct) and (ahm)1/2 (indirect) allowed transitions. From optical absorption, the oscillator strength and spectroscopic intensity (X2,4,6) parameters by performing Judd–Ofelt calculations were estimated to evaluate the radiative transition properties of 4F9/2 level in Dy3? ions. The emission spectra consist of two intense bands in blue (485 nm: 4F9/2?6H15/2) and yellow (576 nm: 4F9/2?6H13/2) regions by stimulating at 349 nm. The decay curves demonstrate the non-exponential nature from 0.5 to 3.0 mol% of Dy3? and fitted well to the Inokuti–Hirayama model. The findings of stimulated emission cross-section (5.20 9 10–21 cm2), optical gain (29.59 9 10–25 cm2s), and quantum efficiency (97%) for Dy3?:PAKCLf glasses could be potentially utilized as optical devices. The photometric parameters like CIE colour coordinates and correlated colour temperatures (CCT:6300-6900 K) of Dy3?:PAKCLf glasses reveal the application of white light-emitting diodes. -
PublicationEfficacy of Different Routes of Formalin-Killed Vaccine Administration on Immunity and Disease Resistance of Nile Tilapia (Oreochromis niloticus) Challenged with Streptococcus agalactiae( 2022)Nguyen Vu Linh , Le Thanh Dien , Ha Thanh Dong , Nuttapon Khongdee, Seyed Hossein Hoseinifar, Mohamed Saiyad Musthafa, Mahmoud A. O. Dawood, Hien Van DoanVaccines prepared from formalin-killed Streptococcus agalactiae were administered to Nile tilapia (Oreochromis niloticus) via three different routes: immersion in a water-based vaccine, injection with an oil-based vaccine, and as a water-based oral vaccine. All vaccination treatments increased lysozyme and peroxidase activity in skin mucus of Nile tilapia by 1.2- to 1.5-fold compared to their activities in unvaccinated control fish. Likewise, alternative complement, phagocytosis, and respiratory burst activities in the blood serum of the vaccinated fish were 1.2- to 1.5-times higher than in the unvaccinated fish. In addition, the expression transcripts of interleukin-1 (IL-1), interleukin-8 (IL-8), and lipopolysaccharide-binding protein (LBP) were 2.3- to 2.9-fold higher in the vaccinated fish compared to those in the unvaccinated control. The unvaccinated fish challenged with Streptococcus agalactiae had a survival rate of 25% compared to a survival rate of 78–85% for the vaccinated fish. The differences between the unvaccinated and vaccinated fish were all statistically significant, but there was no significant difference in any of the indicators of immunity between the three vaccinated groups. Collectively, these results confirm that vaccination with formalin-killed Streptococcus agalactiae significantly improved the resistance of Nile tilapia to infection by the pathogen. Overall, the efficacy of oral administration of the vaccine was comparable to that of vaccine administered via injection, indicating that oral vaccination is a viable cost-effective alternative to administering vaccines by injection.
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PublicationExploiting user grouping and energy harvesting in downlink cellular system( 2022)
;Minh-Sang Van Nguyen ;Phuc Huu DangNhan Duc NguyenA mobile communication system combining energy harvesting with a cooperative nonorthogonal multiple access (NOMA) system is presented in this research. In the proposed scheme, the relay is assumed to have a limited power source, and it will harvest radio energy from the base station (BS) to serve the near and far users. In this scenario, we consider two possible situations during information transmission in the NOMA application system: perfect successive interference cancellation (SIC) and imperfect successive interference cancellation. The system performance is assessed primarily based on closed-form outage probability expressions. Numerical simulations are conducted to examine the outage probability of the proposed scheme and to verify the derived formulas. The study results have proved that the system performance is still good under the imperfect SIC condition, and several optimal parameters to improve the system performance have been found. Moreover, our research results have shown the superior performance of the proposed model compared with current orthogonal multiple access (OMA) networks. -
PublicationFabrication, characterization, anti-inflammatory, and anti-diabetic activity of silver nanoparticles synthesized from Azadirachta indica kernel aqueous extract( 2022)Nguyen Thuy Lan Chi, Mathiyazhagan Narayanan, Arunachalam Chinnathambi, Chandramohan Govindasamy, Baskaran Subramani, Kathirvel Brindhadevi, Tipsukon Pimpimon, Surachai PikulkaewThe Azadirachta indica is an excellent and pharmaceutically valuable phytochemicals enriched traditional medicinal plant. The purpose of the research was to assess the ability of A. indica aqueous kernel extract to synthesize silver nanoparticles as well as their anti-inflammatory and anti-diabetic activity in vitro. The obtained results state that the aqueous kernel extract of A. indica can fabricate the silver nanoparticles and be confirmed by standard analytical techniques. Under UV–visible spectrophotometer analysis, the absorbance peak was found at 430 nm was related to the surface plasmon resonance of silver nanoparticles. The FTIR (Fourier-transform infrared spectroscopy) analysis revealed that numbers of functional groups belong to the pharmaceutically valuable phytochemicals, which act as reducing, capping, and stabilizing agent on silver nanoparticles synthesis. The size and shape of the silver nanoparticles were examined as 19.27–22.15 nm and spherical in shape. Interestingly, this kernel fabricated silver nanoparticles possess a reasonable anti-inflammatory (69.77%) and anti-diabetic (73.5%) activity at 100 μg mL 1 and these were partially comparable with standards (anti-inflammatory: 81.15%; anti-diabetic: 87.9%). Thus, the aqueous kernel extract fabricated silver nanoparticles can be considered for further in-vivo study to assess the practical possibility to promote as a pharmaceutical agent.
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PublicationFungi fabrication, characterization, and anticancer activity of silver nanoparticles using metals resistant Aspergillus niger( 2022)Nguyen Thuy Lan Chi, Geetha Royapuram Veeraragavan, Kathirvel Brindhadevi, Arunachalam Chinnathambi, Saleh H. Salmen, Sulaiman Ali Alharbi, Ramakrishnan Krishnan, Arivalagan Pugazhendhiings) metal-tolerant Aspergillus niger biomass filtrate and the anticancer potential of synthesized silver nanoparticles (AgNPs) tested with a Human Cervical cancer cell line (HeLa cells: Henrietta Lacks cells). The nitrate reduction test demonstrated that A. niger has the ability to reduce nitrate, and filtrate derived from A. niger biomass efficiently fabricated AgNPs from AgNO3, as demonstrated by a visible color change from pale greenish to brownish. The UV–visible spectroscopy analysis revealed an absorbance peak at 435 nm, which corresponded to the AgNPs. These AgNPs have been capped and stabilized with several functional groups related to various bioactive molecules such as aldehyde, benzene rings, aldehydic, amines, alcohols, and carbonyl stretch protein molecules. Fourier-Transform Infrared Spectroscopy (FTIR) analysis confirmed the capping and stabilizing chemical bonding pattern. Scanning Electron Microscopy (SEM) revealed that the synthesized AgNPs were spherical, with an average size of 21.38 nm. This bio-fabricated AgNPs has in-vitro anticancer potential when tested against the HeLa cell line due to its potential size and shape. At 100 g mL 1 concentrations of this biofabricated AgNPs, the anticancer activity percentage was found to be 70.2%, and the IC50 value was found to be 66.32 g m 1. These findings demonstrated that the metal-tolerant A. niger cell filtrate could produce AgNPs with anticancer potential.
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PublicationImpact of non-renewable energy and natural resources on economic recovery: Empirical evidence from selected developing economies( 2022)Chenyang Yu, Massoud Moslehpour, Trung Kien Tran, Lam Minh Trung, Jenho Peter Ou, Nguyen Hoang TienPanel data examines the effects of renewable and natural resource usage on Green economic recovery in the top 10 nations adopting non-renewable energy from 1975 to 2018. Misunderstandings of sustainable energy legislation are often a result of structural breakout that go unnoticed. Fourier-based approaches are used to examine the nexus of non-renewable energy and natural resources on green economic recovery in selected countries. Economic recovery in eight of the ten nations depends on natural resource development, whereas sustainable energy contributes to economic recovery in Germany, Denmark, and France over the long term. Italy, Malta, the UK, and Greece are examples of countries where the energy-led growth theory holds. Even though Italy’s economy relies on non-renewable energy, the preservation theory holds for both power parameters in Germany and sustainable power in China. While non-renewable energy is not as powerful as exhaustible power, the total findings demonstrate that natural resource development has the potential to be a significant driver of green economic recovery. Policies to combat energy ineffectiveness should thus check an overworked world-ecology, reduce urban oddities, and encourage ecological learning for a better atmosphere.
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PublicationImpacts of oxygen and ozone nanobubbles on bacteriophage in aquaculture system( 2022)
;Le Thanh Dien ;Nguyen Vu Linh ;Thao Thu Mai ;Saengchan Senapin ;Sophie St-Hilaire ;Channarong RodkhumHa Thanh DongInjection of ozone nanobubbles into water reduces bacterial load, improves dissolved oxygen, and modulates the fish innate immune system. Little is known about the effect that nanobubble treatment has on the concentration of viruses in water. This study, investigated the disinfection impact of oxygen and ozone nanobubbles (NB-O2 and NB-O3) on an Aeromonas hydrophila-specific phage, pAh6.2TG, a virus lab model. After 5-, 10- and 15-min treatments with NB-O2, the concentration of phage remained the same, while the same treatment with NB-O3 eradicated 99.99 to 100% of the phage in the water. Since this phage has been shown to control bacterial infections in fish, we further investigated whether NB-O2 improved the adherence of the phage to the body surface of the fish (i.e. skin mucus, and gills) and phage penetration into fish internal organs, specifically the liver. Nile tilapia, Oreochromis niloticus were used as experimental fish in this study. The results indicated that the number of phages adhered to the skin mucus and gills in NB-O2 treatment group was 1.07 to 15.0 times higher than in the untreated control group without gas nanobubbles. The phage uptake into fish liver after NB-O2 treatment increased 1.29 to 4.75 fold compared to untreated control. These findings suggested a plausible application of NB-O2 treatment for improving efficacy of phage therapy in aquaculture. On the other hand, NB-O3 application may be useful for disinfection of harmful viruses in culture water, but the application would need to be omitted during phage treatment. This study provides preliminary information on potential applications of nanobubble technology in aquaculture to reduce viral load in the water. -
PublicationIn vitro analysis of green synthesized copper nanoparticles using Chloroxylon swietenia leaves for dye degradation and antimicrobial application( 2022)Yan Yuan, Yingji Wu, V. Chinnadurai, Mythili Saravanan, Arunachalam Chinnathambi, Sulaiman Ali Alharbi, Kathirvel Brindhadevi, Nguyen Thuy Lan Chi, Arivalagan PugazhendhiGreen fabrication of copper nanoparticles (CuNPs) is an environmentally friendly and cost-effective method of synthesis for biomedical and bioremediation applications. In recent times, bacterial pathogens contaminating or affecting food and food crops pose the greatest threat to the food industry. In addition to this issue, synthetic dyes released from the textile and dyeing industries are polluting aquatic ecosystems and agricultural lands. The combined impact of these two factors is considered a major threat to life. Therefore, the use of CuNPs will provide an effective and long-term solution as an antibacterial and dye removing agent. The current study focuses on the synthesis of CuNPs using the leaf extract of Chloroxylon swietenia (C-CuNPs). The formation of a peak at 390 nm and a change in color from yellow to dark brown confirmed the synthesis of C-CuNPs. Subsequent synthesis at pH 9 was suitable for preparing C-CuNPs. Structural and chemical characterization of C-CuNPs was performed using Fourier Transfer Infra-Red (FTIR), X-ray diffraction (XRD), Dynamic Light scattering (DLS), and Scanning Electron Microscopy (SEM) analysis. The synthesized C-CuNPs possess a crystalline nature, a functional group that resembles C. swietenia, and are negatively charged and spherical in shape. C-CuNPs were tested against Congo red, Coomassie blue, and crystal violet and they showed complete degradation within 24 h under optimum conditions. Disk diffusion and broth dilution assay were used to test the antibacterial activity of CCuNPs against Staphylococcus nepalensis, Staphylococcus gallinarum, Pseudomonas stutzeri, Bacillus subtilis, and Enterococcus faecalis. Therefore, the present study represents the first report on C-CuNPs’ ability to degrade synthetic dyes and kill foodborne bacterial pathogens. Thus, the study has shed light on the potential of green synthesized CuNPs as bioremediation and packaging material in the future.
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PublicationInfluence of Brevibacillus borestelensis strains on phytoremediation potential and biomolecules contents of Jatropha curcas on diluted chromium sludge soil( 2022)Mathiyazhagan Narayanan, Muthusamy Muthusamy, Maha Alshiekheid, Amal Sabour, Nguyen Thuy Lan Chi, Arivalagan PugazhendhiThis study was carried out in order to find an environmentally friendly solution to recover the abandoned Crenriched sludge soil, which causes a variety of environmental issues. Hence, in this research the influence of pre-identified Brevibacillus borstelensis UTM105 and Brevibacillus borstelensis AK2 coated Jatropha curcas seed in phytoremediation process with various treatment groups (group A to F) under greenhouse condition. Furthermore, their influence on growth, biomolecules (total proteins and total chlorophyll) content, and antioxidant activity of J. curcas during the phytoremediation process were analyzed. Surprisingly, the outstanding phytoremediation was recorded in group F treatment. In these groups, Group E. accompanied it, and the Cr was reduced by up to 31.17% and 25.65%, respectively, in treated soil after 90 days of treatment. Among these two bacterial strains, the B. borstelensis AK2 had greatest effect on J. curcas growth, the yield of biomass, total protein, total chlorophyll, and antioxidant activity and it followed by B. borstelensis UTM105. These phytoremediation potential of J. curcas was effective at soil diluted with fertile and xenobiotics free soil with dilution ratio of 50:50 and followed by 75:25 ratio. Because under undiluted Cr sludge soil condition seed germination has not occurred even though the seed has been coated with potential bacterial strains and soil blend with sterilized goat manure. Hence, under diluted conditions J. curcas seed coated with B. borstelensis AK2 showed an outstanding phytoremediation process. Hence, this approach can be applied to a field study to assess the metal removal potential of this sustainable approach.
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PublicationIntelligent Reflecting Surface Aided Wireless Systems with Imperfect Hardware( 2022)
;Nhan Duc Nguyen ;Anh-Tu Le ;Munyaradzi Munochiveyi ;Fatemeh AfghahEvangelos PallisIn this article, we investigate the design of reconfigurable intelligent surface (RIS)-aided transmission as a smart method to reflect signals received from access points to users and, hence, improving users’ performance. To implement smart Internet of Things (IoT) networks, massive connectivity and low-cost deployment are essential in designing such systems. In particular, we consider two practical scenarios (dual-hop and single-hop transmissions). These scenarios highlight the potential of RIS in enhancing the system’s outage probability performance. Furthermore, to characterize channel conditions in practice, we pay particular attention to two-channel distributions that are non-central chi-square (NCCS) distributions that approximate the channel distribution of the RIS-aided wireless system and the squared KG distribution. In addition, the RIS-aided system may face imperfect hardware-related issues in practice. Therefore, we need to consider the degraded performance of practical RIS-aided systems by considering the detrimental impact of in-phase and quadrature-phase imbalance (IQI). To characterize the main system performance metric, we provide closed-form formulas of outage probability and ergodic capacity. We then evaluate system performance under the impacts of signal-to-noise ratio (SNR), the number of meta-surfaces, and channel parameters. All closed-form outage expressions are validated via Monte Carlo simulations. Simulation results indicate that the considered RIS scheme at dual-hop and single hop under the impact of IQI and RIS hardware impairment achieves significant improvements in terms of outage probability at high SNR and high meta-surface number N. Additionally, the simulation results demonstrate that the impact of IQI on the proposed system is limited. It is worth noting that, in terms of ergodic capacity, ergodic capacity faces an upper limit. Despite this limitation, the proposed system can still work well once some parameters are controlled well, such as the transmit SNR, levels of IQI, and the number of RIS components.