Pub Date : 2024-08-24DOI: 10.1016/j.jtice.2024.105708
Nandhini Munusamy , Francis Packiaraj Don Disouza , Shen-Ming Chen , Kumar Krishnan , Mukesh Kumar Dharmalingam Jothinathan , B. Prakash
Background
Diuron (DU), a weed controller widely used in the agricultural industry, prolonged conception of this agrochemical residue contaminated with environmental water bodies and soil sources could cause an acute impact on the human health system. This work utilized the electrochemical determination technique due to their rapid detection, outstanding sensitivity, and economical purpose.
Methods
The electrochemical behavior of DU at the γ-Bi2O3 microplates interconnected with sheet-like graphene oxide (GO) as a surface-modified electrode was scrutinized by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The surface-modified γ-Bi2O3/GO/GCE elucidates superior electrocatalytic performance towards the irreversible oxidation response of diuron than the other surface-modified electrode in the phosphate buffer solution of 0.1 M.
Significant findings
The γ-Bi2O3/GO/GCE electrode displayed an extensive detection range of 0.1–631 µM with a 0.751 µM lower detection limit furthermore, noticeable 0.0280 µA µM-1 cm-2 sensitivity for diuron determination. In addition, the DPV experiment exposed that the γ-Bi2O3/GO/GCE electrode achieves stupendous selectivity, durability, and acceptable feasibility of the real-time samples.
{"title":"Facile fabrication of bismuth oxide anchored graphene oxide for the effective electrochemical sensing of diuron","authors":"Nandhini Munusamy , Francis Packiaraj Don Disouza , Shen-Ming Chen , Kumar Krishnan , Mukesh Kumar Dharmalingam Jothinathan , B. Prakash","doi":"10.1016/j.jtice.2024.105708","DOIUrl":"10.1016/j.jtice.2024.105708","url":null,"abstract":"<div><h3>Background</h3><p>Diuron (DU), a weed controller widely used in the agricultural industry, prolonged conception of this agrochemical residue contaminated with environmental water bodies and soil sources could cause an acute impact on the human health system. This work utilized the electrochemical determination technique due to their rapid detection, outstanding sensitivity, and economical purpose.</p></div><div><h3>Methods</h3><p>The electrochemical behavior of DU at the γ-Bi<sub>2</sub>O<sub>3</sub> microplates interconnected with sheet-like graphene oxide (GO) as a surface-modified electrode was scrutinized by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The surface-modified γ-Bi<sub>2</sub>O<sub>3</sub>/GO/GCE elucidates superior electrocatalytic performance towards the irreversible oxidation response of diuron than the other surface-modified electrode in the phosphate buffer solution of 0.1 M.</p></div><div><h3>Significant findings</h3><p>The γ-Bi<sub>2</sub>O<sub>3</sub>/GO/GCE electrode displayed an extensive detection range of 0.1–631 µM with a 0.751 µM lower detection limit furthermore, noticeable 0.0280 µA µM<sup>-1</sup> cm<sup>-2</sup> sensitivity for diuron determination. In addition, the DPV experiment exposed that the γ-Bi<sub>2</sub>O<sub>3</sub>/GO/GCE electrode achieves stupendous selectivity, durability, and acceptable feasibility of the real-time samples.</p></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"165 ","pages":"Article 105708"},"PeriodicalIF":5.5,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142047817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The research has looked into the potential of plant extracts as natural corrosion inhibitors as an alternative to synthetic ones. The study aims to investigate the ability of the weed plant Pouzolzia zeylanica L. extract (PZE) to prevent corrosion of stainless steel-410 in a 0.5 M HCl acidic medium.
Method
In this work, the leaf extract of PZE is prepared in water, and the functional activity of the prepared PZ water extract (PZE)is evaluated using various techniques. Both electrochemical and gravimetric techniques are employed in this study. The inhibitor from PZ inhibits the anodic region on the SS-410 surface active sites through straightforward adsorption. Experimental techniques such as UV–visible spectroscopy, FTIR, LC-MS, SEM, AFM, EDX, EIS, and computational studies demonstrate the formation of protective layers under inhibiting conditions. The gravimetric data confirms monolayer adsorption, following the Langmuir adsorption isotherm.
Significant findings
The data obtained demonstrate that when SS-410 is immersed directly in a corrosive solution containing dissolved inhibitor molecules, it effectively prevents corrosion. Therefore, increasing the concentration of this chemical improves its inhibitory efficiency. Indeed, the PZ inhibitor achieved a favourable experimental outcome with an efficacy of 95 % at 400 mg/L in 0.5 M HCl. Based on polarization analysis, the corrosion inhibitor exhibits anodic nature for SS-410 in 0.5 M HCl.
背景这项研究探讨了植物提取物作为天然缓蚀剂替代合成缓蚀剂的潜力。本研究旨在调查杂草植物 Pouzolzia zeylanica L. 提取物（PZE）在 0.5 M HCl 酸性介质中防止不锈钢-410 腐蚀的能力。本研究采用了电化学和重量测量两种技术。PZ 中的抑制剂通过直接吸附作用抑制了 SS-410 表面活性部位上的阳极区。紫外可见光谱、傅立叶变换红外光谱、LC-MS、SEM、AFM、EDX、EIS 等实验技术和计算研究证明了在抑制条件下保护层的形成。重要发现所获得的数据表明，将 SS-410 直接浸入含有溶解抑制剂分子的腐蚀性溶液中，可以有效防止腐蚀。因此，增加该化学品的浓度可提高其抑制效率。事实上，PZ 抑制剂在 0.5 M HCl 溶液中的浓度为 400 mg/L 时，抑制效果达到 95%，取得了良好的实验结果。根据极化分析，该缓蚀剂在 0.5 M HCl 中对 SS-410 呈阳极性质。
{"title":"Corrosion inhibition assessment of a sustainable inhibitor from the weed plant (Pouzolzia zeylanica L.) on SS-410 surface in 0.5 M HCl acidic medium","authors":"Vibha Tripathi , Dwarika Prasad , Rajnish Maithani , Brahim El Ibrahimii","doi":"10.1016/j.jtice.2024.105693","DOIUrl":"10.1016/j.jtice.2024.105693","url":null,"abstract":"<div><h3>Background</h3><p>The research has looked into the potential of plant extracts as natural corrosion inhibitors as an alternative to synthetic ones. The study aims to investigate the ability of the weed plant <em>Pouzolzia zeylanica</em> L. extract (<em>PZE</em>) to prevent corrosion of stainless steel-410 in a 0.5 M HCl acidic medium.</p></div><div><h3>Method</h3><p>In this work, the leaf extract of <em>PZE</em> is prepared in water, and the functional activity of the prepared <em>PZ</em> water extract (<em>PZE)</em>is evaluated using various techniques. Both electrochemical and gravimetric techniques are employed in this study. The inhibitor from <em>PZ</em> inhibits the anodic region on the SS-410 surface active sites through straightforward adsorption. Experimental techniques such as UV–visible spectroscopy, FTIR, LC-MS, SEM, AFM, EDX, EIS, and computational studies demonstrate the formation of protective layers under inhibiting conditions. The gravimetric data confirms monolayer adsorption, following the Langmuir adsorption isotherm.</p></div><div><h3>Significant findings</h3><p>The data obtained demonstrate that when SS-410 is immersed directly in a corrosive solution containing dissolved inhibitor molecules, it effectively prevents corrosion. Therefore, increasing the concentration of this chemical improves its inhibitory efficiency. Indeed, the PZ inhibitor achieved a favourable experimental outcome with an efficacy of 95 % at 400 mg/L in 0.5 M HCl. Based on polarization analysis, the corrosion inhibitor exhibits anodic nature for SS-410 in 0.5 M HCl.</p></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"165 ","pages":"Article 105693"},"PeriodicalIF":5.5,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142047816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-21DOI: 10.1016/j.jtice.2024.105719
Yi Liu , Yuxin Jiang , Zengliang Gao , Kaixin Liu , Yuan Yao
Background
Data-driven methods play an important role in monitoring the liquid flooding process for ensuring the efficient and safe operation of packed towers. However, their online recognition performance is often limited due to the imbalanced and nonlinear nature of the flooding data.
Method
In this work, a generative convolutional monitoring (GCM) method is proposed for online flooding recognition. Firstly, a generative model by integrating variational autoencoder with Wasserstein generative adversarial networks is designed to generate information-rich flooding images for enlarging the diversity of the dataset. Secondly, the convolutional neural network is employed for the online recognition of flooding. Finally, feature visualization explains the details of the GCM method in terms of feature extraction. Consequently, the proposed method extracts nonlinear characteristics while overcoming the difficulties associated with unbalanced data.
Significant findings
Experiments on a lab-scale packed tower demonstrate the feasibility of the proposed approach. The flooding state in packed towers can be online detected.
{"title":"Generative Convolutional Monitoring Method for Online Flooding Recognition in Packed Towers","authors":"Yi Liu , Yuxin Jiang , Zengliang Gao , Kaixin Liu , Yuan Yao","doi":"10.1016/j.jtice.2024.105719","DOIUrl":"10.1016/j.jtice.2024.105719","url":null,"abstract":"<div><h3>Background</h3><p>Data-driven methods play an important role in monitoring the liquid flooding process for ensuring the efficient and safe operation of packed towers. However, their online recognition performance is often limited due to the imbalanced and nonlinear nature of the flooding data.</p></div><div><h3>Method</h3><p>In this work, a generative convolutional monitoring (GCM) method is proposed for online flooding recognition. Firstly, a generative model by integrating variational autoencoder with Wasserstein generative adversarial networks is designed to generate information-rich flooding images for enlarging the diversity of the dataset. Secondly, the convolutional neural network is employed for the online recognition of flooding. Finally, feature visualization explains the details of the GCM method in terms of feature extraction. Consequently, the proposed method extracts nonlinear characteristics while overcoming the difficulties associated with unbalanced data.</p></div><div><h3>Significant findings</h3><p>Experiments on a lab-scale packed tower demonstrate the feasibility of the proposed approach. The flooding state in packed towers can be online detected.</p></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"165 ","pages":"Article 105719"},"PeriodicalIF":5.5,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142040835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-21DOI: 10.1016/j.jtice.2024.105697
Umaiyambika Neduvel Annal , Vaithiyanathan. R , Arunodhaya Natarajan , Vijayalakshmi Rajadurai , Paskalis Sahaya Murphin Kumar , Yuan-Yao Li
Background
The disposal of waste spent coffee grounds (SCG) presents a pressing environmental concern, necessitating effective pre-treatment strategies to mitigate potential damage. Transesterification emerges as a viable solution for converting SCG lipids into biodiesel, offering both environmental and economic benefits.
Methods
In this study, the utilization of SCG as a renewable feedstock for biodiesel production through an innovative electrolysis process has been explored, aiming to address the dual challenges of waste management and sustainable energy production. To obtain maximum conversion of SCG oil to biodiesel, a comprehensive analysis of the fatty acid profile using Gas Chromatography-Mass Spectrometry (GC–MS), was conducted allowing for precise characterization of lipid content. Additionally, Fourier Transform Infrared (FTIR) spectroscopy was employed to categorize functional groups and Nuclear Magnetic Resonance (1H NMR) spectroscopy was utilized to analyze the molecular structure of the SCG oil. Optimization of process parameters namely, catalyst concentration, electrolysis time, and direct current (DC) voltage was performed using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) techniques. The ANN model, with its ability to capture complex nonlinear relationships, was particularly effective in identifying the optimal combination of parameters, thereby maximizing biodiesel yield.
Significant findings
The extracted SCG oil was characterized using FTIR, GC–MS and 1H NMR analysis. The GC- MS analysis of bio-oil has reported 44.6 % Linoleic acid, 31.6 % Palmitic acid. The extracted oil had got significant amount of key saturated and unsaturated fatty acid making it suitable for transesterification process. Through ANN, the optimal combination of parameters for electrolytic transesterification i.e.,0.75 wt% catalyst loading, 2 h electrolysis time, and 40 V DC voltage, yielded the highest biodiesel production (98.32 wt.%). Comparative analysis indicated superior performance of the ANN model (R2 = 0.9931, MAE = 0.123) over RSM (R2 = 0.9636, MAE = 1.546). The artificial neural network (ANN) provided a more accurate forecast of the process yield; however, the RSM model effectively predicted the interactions and significance of the pyrolysis factors. The artificial neural network (ANN) provided a more accurate forecast of the process yield; however, the RSM model effectively predicted the interactions and significance of the pyrolysis factors. Biodiesel characterization via FTIR and 1H NMR analysis showed physiochemical properties within standard limits for SCG biodiesel.
{"title":"Electrolytic biodiesel production from spent coffee grounds: Optimization through response surface methodology and artificial neural network","authors":"Umaiyambika Neduvel Annal , Vaithiyanathan. R , Arunodhaya Natarajan , Vijayalakshmi Rajadurai , Paskalis Sahaya Murphin Kumar , Yuan-Yao Li","doi":"10.1016/j.jtice.2024.105697","DOIUrl":"10.1016/j.jtice.2024.105697","url":null,"abstract":"<div><h3>Background</h3><p>The disposal of waste spent coffee grounds (SCG) presents a pressing environmental concern, necessitating effective pre-treatment strategies to mitigate potential damage. Transesterification emerges as a viable solution for converting SCG lipids into biodiesel, offering both environmental and economic benefits.</p></div><div><h3>Methods</h3><p>In this study, the utilization of SCG as a renewable feedstock for biodiesel production through an innovative electrolysis process has been explored, aiming to address the dual challenges of waste management and sustainable energy production. To obtain maximum conversion of SCG oil to biodiesel, a comprehensive analysis of the fatty acid profile using Gas Chromatography-Mass Spectrometry (GC–MS), was conducted allowing for precise characterization of lipid content. Additionally, Fourier Transform Infrared (FTIR) spectroscopy was employed to categorize functional groups and Nuclear Magnetic Resonance (<sup>1</sup>H NMR) spectroscopy was utilized to analyze the molecular structure of the SCG oil. Optimization of process parameters namely, catalyst concentration, electrolysis time, and direct current (DC) voltage was performed using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) techniques. The ANN model, with its ability to capture complex nonlinear relationships, was particularly effective in identifying the optimal combination of parameters, thereby maximizing biodiesel yield.</p></div><div><h3>Significant findings</h3><p>The extracted SCG oil was characterized using FTIR, GC–MS and <sup>1</sup>H NMR analysis. The GC- MS analysis of bio-oil has reported 44.6 % Linoleic acid, 31.6 % Palmitic acid. The extracted oil had got significant amount of key saturated and unsaturated fatty acid making it suitable for transesterification process. Through ANN, the optimal combination of parameters for electrolytic transesterification i.e.,0.75 wt% catalyst loading, 2 h electrolysis time, and 40 V DC voltage, yielded the highest biodiesel production (98.32 wt.%). Comparative analysis indicated superior performance of the ANN model (R<sup>2</sup> = 0.9931, MAE = 0.123) over RSM (R<sup>2</sup> = 0.9636, MAE = 1.546). The artificial neural network (ANN) provided a more accurate forecast of the process yield; however, the RSM model effectively predicted the interactions and significance of the pyrolysis factors. The artificial neural network (ANN) provided a more accurate forecast of the process yield; however, the RSM model effectively predicted the interactions and significance of the pyrolysis factors. Biodiesel characterization via FTIR and <sup>1</sup>H NMR analysis showed physiochemical properties within standard limits for SCG biodiesel.</p></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"165 ","pages":"Article 105697"},"PeriodicalIF":5.5,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142021515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-20DOI: 10.1016/j.jtice.2024.105717
Peipei Lu , Yiyao Wang , Hongfeng Wang , Wen Zhou , Nianshun Zhao , Shengrong Liu
Background
To improve the inherent stability and environmental compatibility of traditional organosilicon coatings, nano-reinforced composite materials were innovatively designed and synthesized to improve the performance of organosilicon coatings.
Methodology
The silicon dioxide (SiO2) clusters on the surface of graphene oxide (GO) incorporated with calcium carbonate (CaCO3) and dicyclohexylamine nitrite (Dn) nanocomposites (GO@SiO2/CaCO3/Dn) were prepared successfully. Then nanocomposites were integrated into the coating matrix to comprehensively assess their effects on morphology, mechanics, corrosion resistance, and anti-fouling properties.
Significant findings
Scanning Electron Microscopy (SEM) observations revealed that 4.0 wt.% of the nanocomposite reinforcement led to stratification within the organosilicon coating. The mechanical properties test shows that the hardness, bonding strength, and maximum impact resistance of SiNC2.0 coating is 10.3 HV, 2.8 MPa, and 75 kg·cm, respectively. Electrochemical assessments confirmed that SiNC2.0 displayed superior corrosion resistance, with a corrosion potential (Ecorr) of 0.199 V and a corrosion current density (Icorr) of 7.308 × 10–6 A/cm2. Furthermore, the surface free energy of the nano-coatings is calculated in the range of 20–30 mN/m by contact angle measurement, indicating the anti-fouling and self-cleaning of the organosilicon nano-coatings. Long-term immersion in natural lake water further confirms the stability and durability of the SiNC2.0 coating in real environments.
{"title":"Preparation and properties of multiphase composite enhanced functional organosilicon nano-coatings","authors":"Peipei Lu , Yiyao Wang , Hongfeng Wang , Wen Zhou , Nianshun Zhao , Shengrong Liu","doi":"10.1016/j.jtice.2024.105717","DOIUrl":"10.1016/j.jtice.2024.105717","url":null,"abstract":"<div><h3>Background</h3><p>To improve the inherent stability and environmental compatibility of traditional organosilicon coatings, nano-reinforced composite materials were innovatively designed and synthesized to improve the performance of organosilicon coatings.</p></div><div><h3>Methodology</h3><p>The silicon dioxide (SiO<sub>2</sub>) clusters on the surface of graphene oxide (GO) incorporated with calcium carbonate (CaCO<sub>3</sub>) and dicyclohexylamine nitrite (Dn) nanocomposites (GO@SiO<sub>2</sub>/CaCO<sub>3</sub>/Dn) were prepared successfully. Then nanocomposites were integrated into the coating matrix to comprehensively assess their effects on morphology, mechanics, corrosion resistance, and anti-fouling properties.</p></div><div><h3>Significant findings</h3><p>Scanning Electron Microscopy (SEM) observations revealed that 4.0 wt.% of the nanocomposite reinforcement led to stratification within the organosilicon coating. The mechanical properties test shows that the hardness, bonding strength, and maximum impact resistance of SiNC2.0 coating is 10.3 HV, 2.8 MPa, and 75 kg·cm, respectively. Electrochemical assessments confirmed that SiNC2.0 displayed superior corrosion resistance, with a corrosion potential (E<sub>corr</sub>) of 0.199 V and a corrosion current density (I<sub>corr</sub>) of 7.308 × 10<sup>–6</sup> A/cm<sup>2</sup>. Furthermore, the surface free energy of the nano-coatings is calculated in the range of 20–30 mN/m by contact angle measurement, indicating the anti-fouling and self-cleaning of the organosilicon nano-coatings. Long-term immersion in natural lake water further confirms the stability and durability of the SiNC2.0 coating in real environments.</p></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"165 ","pages":"Article 105717"},"PeriodicalIF":5.5,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142011572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carbamate insecticides find widespread use in crop protection. Propoxur (PPX) is a type of pesticide classified as a carbamate insecticide, commonly used to control pests in both agriculture and households. The chances of these compounds being present are quite high. For this reason, it is imperative to perform a quantitative analysis of food samples to assess insecticides.
Methods
The development of a sensitive sensor using plate-like metallic silver alloyed copper oxide (m-Ag-CuO) allowed for the detection of PPX in food samples. The physical characteristics of m-Ag-CuO were determined through the use of microscopic and spectroscopic techniques. With its high sensitivity and exceptional selectivity, the electrochemical sensing method provides rapid and accurate results, making it a preferred choice for detect PPX.
Significant findings
The fabricated sensor showed impressive performance under optimal experimental conditions, with a limit of detection (LOD), limit of quantification (LOQ) and a sensitivity are 0.62 ng/L and 1.9 ng/L, and 0.67 µA (ng/L)–1 cm–2. We assessed the functionality and suitability of the sensor through selective study and analysis of food samples, achieving a recovery rate of 95 – 102 %. This indicates that the sensor successfully adapted to analyze PPX in different food products.
{"title":"Metallic silver-alloyed copper oxide electro-catalyst: A high-sensitivity platform for propoxur insecticide detection in food samples","authors":"Pulikkutty Subramaniyan , Yamunadevi Kandeepan , Tse-Wei Chen , Shen-Ming Chen , Manal Abdulaziz Binobead , Mohamed Farouk Elsadek , Mohamed Soliman Elshikh","doi":"10.1016/j.jtice.2024.105707","DOIUrl":"10.1016/j.jtice.2024.105707","url":null,"abstract":"<div><h3>Background</h3><p>Carbamate insecticides find widespread use in crop protection. Propoxur (PPX) is a type of pesticide classified as a carbamate insecticide, commonly used to control pests in both agriculture and households. The chances of these compounds being present are quite high. For this reason, it is imperative to perform a quantitative analysis of food samples to assess insecticides.</p></div><div><h3>Methods</h3><p>The development of a sensitive sensor using plate-like metallic silver alloyed copper oxide (m-Ag-CuO) allowed for the detection of PPX in food samples. The physical characteristics of m-Ag-CuO were determined through the use of microscopic and spectroscopic techniques. With its high sensitivity and exceptional selectivity, the electrochemical sensing method provides rapid and accurate results, making it a preferred choice for detect PPX.</p></div><div><h3>Significant findings</h3><p>The fabricated sensor showed impressive performance under optimal experimental conditions, with a limit of detection (LOD), limit of quantification (LOQ) and a sensitivity are 0.62 ng/L and 1.9 ng/L, and 0.67 µA (ng/L)<sup>–1</sup> cm<sup>–2</sup>. We assessed the functionality and suitability of the sensor through selective study and analysis of food samples, achieving a recovery rate of 95 – 102 %. This indicates that the sensor successfully adapted to analyze PPX in different food products.</p></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"165 ","pages":"Article 105707"},"PeriodicalIF":5.5,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-19DOI: 10.1016/j.jtice.2024.105692
V. Subhiksha , L. Sruthi , J.P. Steffy , Asad Syed , Abdallah M. Elgorban , Islem Abid , Ling Shing Wong , S. Sudheer Khan
Background
The discharge of rifampicin into surface and groundwaters leads to the emergence of antibiotic resistant bacteria which could possess a detrimental threat to human health and aquatic life.
Methods
In this work, rod shaped Mn(VO3)2 was synthesised by simple co-precipitation method and it was deposited over rGO to enhance the photocatalytic degradation of rifampicin under visible light irradiation.
Findings
The study highlighted the enhanced photocatalytic degradation of rifampicin (RFP) by rGO/Mn(VO3)2 nanocomposites (NCs) and it was 99.2 % at pH 7 and the photocatalyst was stable even after 6th cycle. The total organic carbon removal was determined to be 97.1 %. To achieve this, rod shaped Mn(VO3)2 was prepared and deposited over rGO and it was confirmed by SEM and TEM analysis. While XRD studies confirmed the purity of the synthesized materials, XPS and Raman spectroscopy validated their chemical states and bonding nature respectively. BET and BHJ revealed the enhanced surface area and mesoporous nature of the NCs. Further, PL studies indicated the reduced charge carrier recombination in the NCs. The dominant radicals involved in the degradation was identified to be O2•− and •OH. The degraded intermediates were identified and the possible degradation pathway was proposed by using GC–MS/MS analysis. The by-product toxicity was assessed by ECOSAR program and were found to be non-toxic to algae, Daphnia and fish. The study demonstrates the promising potential of rGO/Mn(VO3)2 NCs with improved behaviour and stability for environmental application.
{"title":"Improved photocatalytic activity of rGO modified Mn(VO3)2 nanorods for the degradation of rifampicin: Insight into mechanism, pathway and by-product toxicity evaluation","authors":"V. Subhiksha , L. Sruthi , J.P. Steffy , Asad Syed , Abdallah M. Elgorban , Islem Abid , Ling Shing Wong , S. Sudheer Khan","doi":"10.1016/j.jtice.2024.105692","DOIUrl":"10.1016/j.jtice.2024.105692","url":null,"abstract":"<div><h3>Background</h3><p>The discharge of rifampicin into surface and groundwaters leads to the emergence of antibiotic resistant bacteria which could possess a detrimental threat to human health and aquatic life.</p></div><div><h3>Methods</h3><p>In this work, rod shaped Mn(VO<sub>3</sub>)<sub>2</sub> was synthesised by simple co-precipitation method and it was deposited over rGO to enhance the photocatalytic degradation of rifampicin under visible light irradiation.</p></div><div><h3>Findings</h3><p>The study highlighted the enhanced photocatalytic degradation of rifampicin (RFP) by rGO/Mn(VO<sub>3</sub>)<sub>2</sub> nanocomposites (NCs) and it was 99.2 % at pH 7 and the photocatalyst was stable even after 6th cycle. The total organic carbon removal was determined to be 97.1 %. To achieve this, rod shaped Mn(VO<sub>3</sub>)<sub>2</sub> was prepared and deposited over rGO and it was confirmed by SEM and TEM analysis. While XRD studies confirmed the purity of the synthesized materials, XPS and Raman spectroscopy validated their chemical states and bonding nature respectively. BET and BHJ revealed the enhanced surface area and mesoporous nature of the NCs. Further, PL studies indicated the reduced charge carrier recombination in the NCs. The dominant radicals involved in the degradation was identified to be O<sub>2</sub><sup>•−</sup> and <sup>•</sup>OH. The degraded intermediates were identified and the possible degradation pathway was proposed by using GC–MS/MS analysis. The by-product toxicity was assessed by ECOSAR program and were found to be non-toxic to algae, Daphnia and fish. The study demonstrates the promising potential of rGO/Mn(VO<sub>3</sub>)<sub>2</sub> NCs with improved behaviour and stability for environmental application.</p></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"165 ","pages":"Article 105692"},"PeriodicalIF":5.5,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Organic coating has been the most efficient strategy to protect metals. However, organic coatings may be damaged, thereby reducing or even losing their protective performance.
Methods
A novel pH-responsive and near-infrared photothermal composite coating was fabricated to improve the anti-corrosion performance of shape memory coating. The core-shell-like microcapsule was prepared by mesoporous silica nanoparticles assembled with a polydopamine (PDA) shell and loaded with benzotriazole (BTA) inhibitors. The mesoporous silica nanoparticles acted as the nanocarrier to load the BTA molecules.
Significant findings
The mesoporous silica nanoparticles acted as the nanocarrier to load the BTA molecules, and the PDA shell has the pH-responsive property and acts as the gatekeeper to control the BTA release. Under NIR irradiation, the PDA shell not only facilitates the release of corrosion inhibitors to suppress the corrosion activity but also raises the coating temperature (above 65 °C) to repair the coating scratches. The micromorphology, chemical composition, and element valences of the prepared nanocapsules were confirmed by transmission electron microscope (TEM), Fourier transform infrared spectroscopy (FTIR), and X-ray photoelectron spectroscopy (XPS), respectively. The anti-corrosion performance of the composite coating was investigated by electrochemical impedance spectroscopy (EIS) measurements. These results demonstrated that the prepared nanocapsules have the pH-responsive release property (acid>neutral>alkaline) and NIR photothermal ability. The coating resistance of composite coating with 1.0 wt.% MSN@BTA@PDA loading could be maintained above 108 Ω cm2 after 30 days of accelerated corrosion test, which was two orders of magnitude greater than the pure EP coating. Furthermore, the scratched composite coatings could be healed after 300 s of NIR irradiation. These pH-responsive and NIR curing endowed the composite coating with a short-time self-healing ability and an excellent anti-corrosion performance.
{"title":"pH-responsive and NIR photothermal self-healing coating for metal protection","authors":"Chengbin Guo , Chen Huang , Yubo Lian , Zhenyu Chen","doi":"10.1016/j.jtice.2024.105703","DOIUrl":"10.1016/j.jtice.2024.105703","url":null,"abstract":"<div><h3>Background</h3><p>Organic coating has been the most efficient strategy to protect metals. However, organic coatings may be damaged, thereby reducing or even losing their protective performance.</p></div><div><h3>Methods</h3><p>A novel pH-responsive and near-infrared photothermal composite coating was fabricated to improve the anti-corrosion performance of shape memory coating. The core-shell-like microcapsule was prepared by mesoporous silica nanoparticles assembled with a polydopamine (PDA) shell and loaded with benzotriazole (BTA) inhibitors. The mesoporous silica nanoparticles acted as the nanocarrier to load the BTA molecules.</p></div><div><h3>Significant findings</h3><p>The mesoporous silica nanoparticles acted as the nanocarrier to load the BTA molecules, and the PDA shell has the pH-responsive property and acts as the gatekeeper to control the BTA release. Under NIR irradiation, the PDA shell not only facilitates the release of corrosion inhibitors to suppress the corrosion activity but also raises the coating temperature (above 65 °C) to repair the coating scratches. The micromorphology, chemical composition, and element valences of the prepared nanocapsules were confirmed by transmission electron microscope (TEM), Fourier transform infrared spectroscopy (FTIR), and X-ray photoelectron spectroscopy (XPS), respectively. The anti-corrosion performance of the composite coating was investigated by electrochemical impedance spectroscopy (EIS) measurements. These results demonstrated that the prepared nanocapsules have the pH-responsive release property (acid>neutral>alkaline) and NIR photothermal ability. The coating resistance of composite coating with 1.0 wt.% MSN@BTA@PDA loading could be maintained above 108 Ω cm<sup>2</sup> after 30 days of accelerated corrosion test, which was two orders of magnitude greater than the pure EP coating. Furthermore, the scratched composite coatings could be healed after 300 s of NIR irradiation. These pH-responsive and NIR curing endowed the composite coating with a short-time self-healing ability and an excellent anti-corrosion performance.</p></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"164 ","pages":"Article 105703"},"PeriodicalIF":5.5,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142002476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-14DOI: 10.1016/j.jtice.2024.105705
Maulidiyah Maulidiyah , Abdul Haris Watoni , Muhammad Zakir Muzakkar , La Ode Muhammad Syawal , Irwan Irwan , Muhammad Nurdin , Akrajas Ali Umar
Background
The impact of Fe doped TiO2 nanocatalyst on the heterogeneous catalytic transesterification reaction of coconut oil into biodiesel has been investigated.
Methods
The nanocatalyst was prepared by sol-gel method using titanium isopropoxide as TiO2 precursor and Fe(NO3)3 as iron (Fe) source. Several conditions of Fe-TiO2 were synthesized, each with Fe concentration of 0.5 %, 1 %, and 1.5 %, and calcined at 500 °C. The nanocatalyst's physical and chemical characteristics including phase crystallinity and morphology were examined.
Significant findings
We found that the biodiesel conversion efficiency increases with the increasing of Fe content in the Fe-TiO2 nanocatalyst and optimum at the Fe concentration of 1.5 % (w/w). The optimal Fe-TiO2 nanocatalyst could yield biodiesel output as high as 30.8 %, under at a relatively low temperature of 60 °C. Furthermore, the presence of the nanocatalyst effectively reduced the free fatty acid content in the biodiesel product by 1.43 %. Moreover, the acidity of the produced biodiesel was exceptionally low, at 0.02 %, primarily attributed to lauric acid. These exceptional performances are believed to be attributed to the enhanced surface chemistry properties of the Fe-TiO2 nanocatalyst. The Fe-TiO2 system is expected to find extensive application in the cost-effective production of biodiesel.
{"title":"Fe-doped TiO2 nanocrystals as highly efficient catalysts for heterogeneous catalytic transesterification of coconut oil","authors":"Maulidiyah Maulidiyah , Abdul Haris Watoni , Muhammad Zakir Muzakkar , La Ode Muhammad Syawal , Irwan Irwan , Muhammad Nurdin , Akrajas Ali Umar","doi":"10.1016/j.jtice.2024.105705","DOIUrl":"10.1016/j.jtice.2024.105705","url":null,"abstract":"<div><h3>Background</h3><p>The impact of Fe doped TiO<sub>2</sub> nanocatalyst on the heterogeneous catalytic transesterification reaction of coconut oil into biodiesel has been investigated.</p></div><div><h3>Methods</h3><p>The nanocatalyst was prepared by sol-gel method using titanium isopropoxide as TiO<sub>2</sub> precursor and Fe(NO<sub>3</sub>)<sub>3</sub> as iron (Fe) source. Several conditions of Fe-TiO<sub>2</sub> were synthesized, each with Fe concentration of 0.5 %, 1 %, and 1.5 %, and calcined at 500 °C. The nanocatalyst's physical and chemical characteristics including phase crystallinity and morphology were examined.</p></div><div><h3>Significant findings</h3><p>We found that the biodiesel conversion efficiency increases with the increasing of Fe content in the Fe-TiO<sub>2</sub> nanocatalyst and optimum at the Fe concentration of 1.5 % (w/w). The optimal Fe-TiO<sub>2</sub> nanocatalyst could yield biodiesel output as high as 30.8 %, under at a relatively low temperature of 60 °C. Furthermore, the presence of the nanocatalyst effectively reduced the free fatty acid content in the biodiesel product by 1.43 %. Moreover, the acidity of the produced biodiesel was exceptionally low, at 0.02 %, primarily attributed to lauric acid. These exceptional performances are believed to be attributed to the enhanced surface chemistry properties of the Fe-TiO<sub>2</sub> nanocatalyst. The Fe-TiO<sub>2</sub> system is expected to find extensive application in the cost-effective production of biodiesel.</p></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"164 ","pages":"Article 105705"},"PeriodicalIF":5.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141991281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-14DOI: 10.1016/j.jtice.2024.105709
Orhan YALÇINKAYA, Mehmet Berkant ÖZEL, Ufuk DURMAZ, Ünal UYSAL
Background
This study investigates the impact of jet impingement cooling with varying nozzle lengths on the heat transfer performance of smooth and conical pinned target surfaces under turbulent flow conditions. The study focuses on the Reynolds numbers (Re) of 13,000, 26,000, and 39,000, using the liquid crystal thermography (TLC) method to collect experimental data. The dimensionless conical pin heights (Hc/d = 0.00, 0.67, 1.00, 1.33) and target surface-nozzle distances (G/d = 1.0, 2.0, 3.0, 6.0) were analyzed to understand their effects on heat transfer.
Methods
The experimental setup involved measuring Nu numbers and pressure losses in models with elongated nozzles and conical pins. The study examined how the interaction between pin heights and nozzle lengths influences heat transfer in a channel-confined impinging jet flow. The analysis included evaluating heat transfer performance in different jet regions and assessing pressure loss coefficients for various configurations.
Significant Findings
Results indicated that for smooth target surfaces, elongated nozzles increased heat transfer in the first two jet regions but decreased it in the last jet regions due to cross-flow effects. In contrast, conical pinned surfaces showed a significant increase in heat transfer, particularly in the stagnation and last jet regions, with lower G/d and higher Hc/d values. Conical pinned surfaces enhanced overall heat transfer by at least 5 % compared to smooth surfaces, with a maximum Nu number increase of 21.87 %. However, configurations with G/d < 2.0 and Hc/d ≤ 0.67 negatively impacted heat transfer. Pressure loss analysis revealed that using conical pins and extended jets together increased pressure loss, with a maximum drop of 5.67 kPa at Re = 39,000. The Thermal Performance Criterion (TPC) ranged from a minimum of 0.97 at Re = 26,000 (G/d = 1.0, Hc/d = 1.00) to a maximum of 1.18 at Re = 26,000 (G/d = 6.0, Hc/d = 1.33).
{"title":"Experimental heat transfer analysis of conical pin configurations in jet impingement cooling with elongated nozzle holes","authors":"Orhan YALÇINKAYA, Mehmet Berkant ÖZEL, Ufuk DURMAZ, Ünal UYSAL","doi":"10.1016/j.jtice.2024.105709","DOIUrl":"10.1016/j.jtice.2024.105709","url":null,"abstract":"<div><h3>Background</h3><p>This study investigates the impact of jet impingement cooling with varying nozzle lengths on the heat transfer performance of smooth and conical pinned target surfaces under turbulent flow conditions. The study focuses on the Reynolds numbers (<em>Re</em>) of 13,000, 26,000, and 39,000, using the liquid crystal thermography (TLC) method to collect experimental data. The dimensionless conical pin heights (<em>H</em><sub><em>c</em></sub><em>/d</em> = 0.00, 0.67, 1.00, 1.33) and target surface-nozzle distances (<em>G/d</em> = 1.0, 2.0, 3.0, 6.0) were analyzed to understand their effects on heat transfer.</p></div><div><h3>Methods</h3><p>The experimental setup involved measuring Nu numbers and pressure losses in models with elongated nozzles and conical pins. The study examined how the interaction between pin heights and nozzle lengths influences heat transfer in a channel-confined impinging jet flow. The analysis included evaluating heat transfer performance in different jet regions and assessing pressure loss coefficients for various configurations.</p></div><div><h3>Significant Findings</h3><p>Results indicated that for smooth target surfaces, elongated nozzles increased heat transfer in the first two jet regions but decreased it in the last jet regions due to cross-flow effects. In contrast, conical pinned surfaces showed a significant increase in heat transfer, particularly in the stagnation and last jet regions, with lower <em>G/d</em> and higher <em>H</em><sub><em>c</em></sub><em>/d</em> values. Conical pinned surfaces enhanced overall heat transfer by at least 5 % compared to smooth surfaces, with a maximum Nu number increase of 21.87 %. However, configurations with <em>G/d</em> < 2.0 and <em>H</em><sub><em>c</em></sub><em>/d</em> ≤ 0.67 negatively impacted heat transfer. Pressure loss analysis revealed that using conical pins and extended jets together increased pressure loss, with a maximum drop of 5.67 kPa at <em>Re</em> = 39,000. The Thermal Performance Criterion (TPC) ranged from a minimum of 0.97 at <em>Re</em> = 26,000 (<em>G/d</em> = 1.0, <em>H</em><sub><em>c</em></sub><em>/d</em> = 1.00) to a maximum of 1.18 at <em>Re</em> = 26,000 (<em>G/d</em> = 6.0, <em>H</em><sub><em>c</em></sub><em>/d</em> = 1.33).</p></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"164 ","pages":"Article 105709"},"PeriodicalIF":5.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141990656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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