Journal of the Taiwan Institute of Chemical Engineers最新文献_第5页

Development of a genome engineering tool for insertion of pathway-sized DNAs in Escherichia coli 开发用于在大肠杆菌中插入路径大小 DNA 的基因组工程工具

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2024-09-24 DOI: 10.1016/j.jtice.2024.105776

Doan Thanh Ta , Chung-Jen Chiang , Thi Tram Doan , Yun-Peng Chao

Background

The approach of metabolic engineering enables reprogramming of the producer cell to overproduce products of interest. It usually requires simultaneous manipulation of many genes to achieve the engineering purpose. To circumvent the plasmid-incurred problems, the recombineering technology mainly involving λ Red has been developed for genomic insertion of target genes. However, these λ Red-dependent recombination methods are generally afflicted by insertion of a large size DNA construct. This issue was addressed by development of a genome engineering tool by combination of phage integrases with CRISPR-λ (PIC herein).

Methods

As a proof of concept, PIC was applied for engineering of metabolic pathways leading to pyridine nucleotides. This was carried out by assembly of a heterologous operon (13.9 kb) and an artificial operon (8.2 kb) composed of endogenous genes. Aided by phage integrases, the two assembled DNA constructs were sequentially integrated into the prophage attB sites of Escherichia coli at high efficiency. The kanamycin cassette from the Keio strain collection was leveraged by CRISPR-λ to eliminate the undesired gene in E. coli by knock-in of the attB site which was utilized for iterative integration of the DNA construct.

Significant findings

The engineered strain consequently overproduced uracil. It resulted in a 160-fold increase in uracil over that of the parent strain. This evidently suggests that the producer strain harbors reprogrammed metabolic pathways in favor of the uracil synthesis. Overall, the result indicates that the developed system is useful for metabolic engineering of E. coli by genomic insertion of pathway-sized DNA cargos.

背景新陈代谢工程方法可以对生产细胞进行重编程，使其过度生产感兴趣的产品。它通常需要同时操作多个基因才能达到工程目的。为了避免质粒引起的问题，人们开发了主要涉及 λ Red 的重组工程技术，用于目标基因的基因组插入。然而，这些依赖于 λ Red 的重组方法通常会受到插入大尺寸 DNA 构建体的影响。作为概念验证，PIC 被应用于吡啶核苷酸代谢途径的工程化。其方法是组装一个异源操作子（13.9 kb）和一个由内源基因组成的人工操作子（8.2 kb）。在噬菌体整合酶的帮助下，两个组装好的 DNA 构建体依次高效整合到大肠杆菌的噬菌体 attB 位点上。CRISPR-λ利用庆应义塾菌株中的卡那霉素盒，通过敲入attB位点来消除大肠杆菌中不需要的基因，并利用attB位点迭代整合DNA构建体。与亲本菌株相比，尿嘧啶的产量增加了 160 倍。这显然表明，生产菌株的代谢途径经过重新编程，有利于尿嘧啶的合成。总之，这一结果表明，所开发的系统有助于通过在基因组中插入通路大小的 DNA 货物来实现大肠杆菌的代谢工程。

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引用次数: 0

Economic and environmental analyses for achieving net-zero CO2 emissions of a green diesel production process 实现绿色柴油生产过程二氧化碳净零排放的经济和环境分析

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2024-09-24 DOI: 10.1016/j.jtice.2024.105781

Nattapat Pongboriboon , Vinitha Mariyappan , Wei Wu , Walairat Chandra-Ambhorn

Background

In this study, palm oil hydrotreating for producing green diesel has been thoroughly explored, emphasizing high yields, reduced environmental impact, and lower energy consumption, particularly with solar collectors.

Methods

This study addresses these gaps by evaluating impacts on multiple fronts, including carbon revenue, GHG emissions, and overall environmental effects. The Life Cycle Assessment (LCA) technique, utilizing the CML method developed by Centrum voor Milieukunde Leiden (the Center for Environmental Science at Leiden University, The Netherlands) in SimaPro®, is employed to assess the environmental impact of green diesel production processes. The CML method evaluates environmental impacts through three phases: characterization, which quantifies environmental loads; midpoint, which assesses intermediate impact stages such as global warming potential; and damage, which evaluates potential harm to human health, ecosystems, and resource availability. The scope of work includes simulating the production process and incorporating a CO₂ capture unit with Aspen Plus®. Additionally, kinetic parameters for the palm oil hydrotreating reaction were validated, and energy consumption was optimized using the Aspen Energy Analyzer.

Significant findings

The net-zero emissions of the green diesel (GD) production from crude palm oil (CPO) is achieved by using an integration of an evacuated tube solar collector (ETSC), heat exchanger network, and a post-separation CO₂ capture process. Through the life cycle assessment (LCA), the terrestrial ecotoxicity potential (TEIP) is identified as a significant environmental factor due to chemical pesticides used in the oil palm cultivation. The carbon neutrality is validated by producing 1 kg of GD from CPO down to 0.0617 kg total CO₂ emissions since the net CO₂ sequestration for palm oil from oil palm plantation is taken into account. Referring to the Guthrie method, the economic indicators including the net present value (NPV) and the payback period are estimated at around 0.9 M$ in the 15th year and 9 years, respectively, if the CPO purchase price and the GD selling price are assumed to be $0.47/kg CPO and $1.98/kg GD, respectively, and the increased annual carbon credit is taken into account.

背景在这项研究中，对用于生产绿色柴油的棕榈油加氢处理进行了深入探讨，强调高产量、减少环境影响和降低能耗，特别是使用太阳能集热器。采用荷兰莱顿大学环境科学中心（Centrum voor Milieukunde Leiden）在 SimaPro® 中开发的 CML 方法，利用生命周期评估（LCA）技术来评估绿色柴油生产过程对环境的影响。CML 方法通过三个阶段评估环境影响：特征描述，量化环境负荷；中间点，评估中间影响阶段，如全球变暖潜力；损害，评估对人类健康、生态系统和资源可用性的潜在危害。工作范围包括模拟生产过程，并将二氧化碳捕集装置与 Aspen Plus® 结合起来。此外，还验证了棕榈油加氢处理反应的动力学参数，并使用 Aspen Energy Analyzer 对能源消耗进行了优化。重要发现通过集成排空管太阳能集热器 (ETSC)、热交换器网络和分离后二氧化碳捕集过程，实现了从粗棕榈油 (CPO) 生产绿色柴油 (GD) 的净零排放。通过生命周期评估（LCA），确定陆地生态毒性潜力（TEIP）是油棕种植过程中使用化学农药造成的一个重要环境因素。由于考虑到了油棕种植园棕榈油的二氧化碳净固存，用 CPO 生产 1 千克 GD 可减少 0.0617 千克的二氧化碳总排放量，从而验证了碳中和。根据 Guthrie 方法，如果假定 CPO 购买价格和 GD 销售价格分别为 0.47 美元/千克 CPO 和 1.98 美元/千克 GD，并考虑到每年增加的碳信用，则第 15 年的净现值（NPV）和投资回收期等经济指标估计分别约为 90 万美元和 9 年。

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引用次数: 0

Modulation PI film performances to fit flexible substrate of transparent supercapacitors 调节 PI 薄膜性能以适应透明超级电容器的柔性衬底

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2024-09-24 DOI: 10.1016/j.jtice.2024.105772

Jinxue Cheng , Zhipeng Feng , Zhihang Wang , Xiaoliang Yu , Zhi Fan , Peibin Zhang , Jing Cui , Minjie Guo

Background

With the increased demand for energy storage devices, transparency, flexibility, and miniaturization are gradually becoming the future development direction of energy storage devices, among which supercapacitors have unexceptionable application potential. However, due to the limitation of substrate material, the flexibility, transparency, thermal properties, and mechanical properties of supercapacitors cannot be perfectly unified.

Methods

Herein, we fabricated a series of transparent Polyimide (PI) films by combining para-amide-linked diamine (AB-TFMB) with different ratios of Pyromellitic dianhydride (PMDA) and 4,4′-(Hexafluoroisopropylidene)diphthalic anhydride (6FDA). A series of characterizations were conducted regarding the thermal stability, mechanical properties, dielectricity, optical properties, transmittance, moisture absorption, and solubility of the PI films. The transparent PI film was used as a flexible substrate and assembled into a transparent supercapacitor.

Significant findings

The results showed that the comprehensive performance of PI films could be effectively regulated by changing the monomer types and contents. Also, the assembled transparent supercapacitor exhibited good capacitance characteristics, and the capacitance retention rate after bending at different angles and repeating bending 10,000 times can reach 100 % and 99.45 %, respectively. These promising results demonstrate that turning PI monomers is a favorable method for preparing transparent supercapacitors, which is conducive to the development of transparent flexible supercapacitors in the future.

背景随着储能器件需求的增加，透明化、柔性化、微型化逐渐成为储能器件未来的发展方向，其中超级电容器具有无可比拟的应用潜力。在此基础上，我们将对位酰胺链二胺（AB-TFMB）与不同比例的偏苯三酸酐（PMDA）和 4,4′-（六氟异丙亚基）邻苯二甲酸酐（6FDA）结合，制备了一系列透明的聚酰亚胺（PI）薄膜。对 PI 薄膜的热稳定性、机械性能、介电强度、光学性能、透射率、吸湿性和溶解性进行了一系列表征。结果表明，通过改变单体类型和含量可以有效调节 PI 薄膜的综合性能。此外，组装后的透明超级电容器具有良好的电容特性，在不同角度弯曲和重复弯曲 10,000 次后的电容保持率分别可达 100 % 和 99.45 %。这些可喜的结果表明，翻转 PI 单体是制备透明超级电容器的一种有利方法，有利于未来透明柔性超级电容器的开发。

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引用次数: 0

Experimental and theoretical insights into enhanced light harvesting in dye-sensitized solar cells via Au@TiO2 core-shell and BaTiO3 nanoparticles 通过 Au@TiO2 核壳和 BaTiO3 纳米粒子增强染料敏化太阳能电池采光的实验和理论见解

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2024-09-24 DOI: 10.1016/j.jtice.2024.105778

Vijayakumar Paranthaman , K.S. Shalini Devi , K.B. Bhojanaa , V. Aravindan , Gurusamy Raman , Raju Suresh Kumar , Camellia Doroody , Reji kumar Rajamony , Prajindra Sankar Krishnan

Background

Dye-sensitized solar cells (DSSCs) are an attractive choice among third-generation solar cells due to their affordability and eco-friendliness, making them a promising solution for sustainable energy production. Enhancing the light-capturing efficiency of photoanodes is crucial for improving the power conversion efficiency (PCE) of DSSCs.

Methods

In this study, we developed core-shell Au@TiO₂ (ATO) particles to enhance light harvesting and BaTiO₃ (BTO) nanoparticles to act as a scattering layer. These nanoparticles were incorporated into a photoanode, paired with a commercial N719 sensitizer, an iodide/triiodide redox liquid electrolyte, and a Pt cathode. The performance of the assembled DSSC was compared with traditional TiO₂ photoanodes, and further theoretical analysis was conducted using the solar cell capacitance simulator (SCAPS-1D) to examine PCE variations with ATO layer thickness (2–20 μm).

Significant findings

The DSSC with an ATO/BTO-based photoanode achieved a PCE of 8.76 %, significantly higher than the 6.72 % PCE of cells using bare TiO₂ photoanodes. This efficiency enhancement is attributed to improved light scattering, reduced charge recombination, and minimized core particle corrosion due to the perovskite oxide layer. Enhanced plasmonic effects also led to superior light absorption and improved charge carrier generation and separation.

背景染料敏化太阳能电池（DSSC）是第三代太阳能电池中颇具吸引力的选择，因为其价格低廉、生态友好，使其成为可持续能源生产的一种有前途的解决方案。在这项研究中，我们开发了核壳 Au@TiO2 (ATO) 颗粒来增强光收集，并开发了 BaTiO3 (BTO) 纳米颗粒作为散射层。这些纳米粒子与商用 N719 增感剂、碘/三碘氧化还原液态电解质和铂阴极配对后被纳入光阳极。将组装好的 DSSC 的性能与传统的 TiO2 光阳极进行了比较，并使用太阳能电池电容模拟器（SCAPS-1D）进行了进一步的理论分析，以研究 PCE 随 ATO 层厚度（2-20 μm）的变化。效率的提高归功于光散射的改善、电荷重组的减少以及包晶体氧化物层对芯颗粒腐蚀的最小化。增强的等离子效应也带来了出色的光吸收效果，并改善了电荷载流子的产生和分离。

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引用次数: 0

Prediction of Nernst coefficient of S-containing compounds between fuel and ionic liquid phases in the extractive desulfurization using linear and supported vector machine (SVM) methods: QSPR-based machine learning 使用线性和支持向量机 (SVM) 方法预测萃取脱硫过程中燃料相和离子液体相之间含 S 化合物的 Nernst 系数：基于 QSPR 的机器学习

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2024-09-24 DOI: 10.1016/j.jtice.2024.105773

Fatemeh Faridi, Ali Ebrahimpoor Gorji, Siavash Riahi

Background

The presence of sulfur-containing compounds (SCCs) in the refinery streams has significant economic and environmental implications. Great attention has been focused on finding the proper green solvents like ionic liquids (ILs¹) with efficient extraction performance as a matter of concern of environmental issues.

Methods

The research aimed to develop a predictive model using QSPR to forecast the partition coefficient of dibenzothiophene by ILs from n-dodecane. Utilizing a dataset of 54 ILs and their partition coefficients for DBT, the study employed two methods to optimize ILs structures and compared linear (GA-MLR) and non-linear (LS-SVM) models, with non-linear models showing higher accuracy. After initial modeling and assessing the primary dataset of 54 ILs, yielding an R2 parameter of 0.39 for the test set, the dataset was divided into smaller clusters for further analysis. Three additional clusters were investigated. The second cluster comprised 14 ILs with identical cations and varying anions, modeled with two descriptors. The third cluster, consisting of 21 ILs with imidazolium cations and diverse anions, was modeled with three descriptors. Lastly, the fourth cluster, comprising 26 ILs with different cations but the same anion, was also modeled with three descriptors.

Significant findings

The MLR model yielded R2 values of 0.98, 0.85, and 0.93 for the test sets of the second, third, and fourth clusters respectively. Effective descriptors, including cation polarizability and alkyl branch length, were examined for their impact on partition coefficient and desulfurization efficiency. This research aids in enhancing EDS processes with ILs, advancing more efficient desulfurization technologies.

背景炼油流中含硫化合物（SCC）的存在对经济和环境有重大影响。由于对环境问题的关注，寻找合适的绿色溶剂（如具有高效萃取性能的离子液体（ILs1））已成为人们关注的焦点。方法该研究旨在利用 QSPR 建立一个预测模型，以预测正十二烷中二苯并噻吩与离子液体的分配系数。利用包含 54 种 IL 及其对 DBT 的分配系数的数据集，该研究采用了两种方法来优化 IL 结构，并比较了线性模型（GA-MLR）和非线性模型（LS-SVM），其中非线性模型显示出更高的准确性。在对包含 54 个 IL 的主要数据集进行初步建模和评估，得出测试集的 R2 参数为 0.39 之后，该数据集被划分为更小的群组，以便进行进一步分析。对另外三个群组进行了研究。第二个聚类包括 14 个具有相同阳离子和不同阴离子的 IL，使用两个描述符建模。第三个聚类由 21 个具有咪唑阳离子和不同阴离子的 IL 组成，使用三个描述符建模。最后，第四个聚类由 26 种具有不同阳离子但相同阴离子的 IL 组成，也使用三个描述符建模。研究还考察了阳离子极化性和烷基支链长度等有效描述因子对分配系数和脱硫效率的影响。这项研究有助于利用 ILs 改进 EDS 工艺，从而推动更高效的脱硫技术。

{"title":"Prediction of Nernst coefficient of S-containing compounds between fuel and ionic liquid phases in the extractive desulfurization using linear and supported vector machine (SVM) methods: QSPR-based machine learning","authors":"Fatemeh Faridi, Ali Ebrahimpoor Gorji, Siavash Riahi","doi":"10.1016/j.jtice.2024.105773","DOIUrl":"10.1016/j.jtice.2024.105773","url":null,"abstract":"<div><h3>Background</h3><div>The presence of sulfur-containing compounds (SCCs) in the refinery streams has significant economic and environmental implications. Great attention has been focused on finding the proper green solvents like ionic liquids (ILs<span><span><sup>1</sup></span></span>) with efficient extraction performance as a matter of concern of environmental issues.</div></div><div><h3>Methods</h3><div>The research aimed to develop a predictive model using QSPR to forecast the partition coefficient of dibenzothiophene by ILs from n-dodecane. Utilizing a dataset of 54 ILs and their partition coefficients for DBT, the study employed two methods to optimize ILs structures and compared linear (GA-MLR) and non-linear (LS-SVM) models, with non-linear models showing higher accuracy. After initial modeling and assessing the primary dataset of 54 ILs, yielding an R2 parameter of 0.39 for the test set, the dataset was divided into smaller clusters for further analysis. Three additional clusters were investigated. The second cluster comprised 14 ILs with identical cations and varying anions, modeled with two descriptors. The third cluster, consisting of 21 ILs with imidazolium cations and diverse anions, was modeled with three descriptors. Lastly, the fourth cluster, comprising 26 ILs with different cations but the same anion, was also modeled with three descriptors.</div></div><div><h3>Significant findings</h3><div>The MLR model yielded R2 values of 0.98, 0.85, and 0.93 for the test sets of the second, third, and fourth clusters respectively. Effective descriptors, including cation polarizability and alkyl branch length, were examined for their impact on partition coefficient and desulfurization efficiency. This research aids in enhancing EDS processes with ILs, advancing more efficient desulfurization technologies.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"165 ","pages":"Article 105773"},"PeriodicalIF":5.5,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142315928","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}

引用次数: 0

Synthesis and characterization of polymer-clay nanocomposite membranes for micellar enhanced ultrafiltration of synthetic dyes from water 用于胶束强化超滤水中合成染料的聚合物-粘土纳米复合膜的合成与表征

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2024-09-21 DOI: 10.1016/j.jtice.2024.105768

Pramit Roy Chowdhury, Samit Kumar Ray

Background

In micellar-enhanced ultrafiltration (MEUF) the aggregates of small dye molecules with surfactant are retained on the membrane surface.

Methods

Sodium montmorillonite (Na-MMT) nano clay particles were incorporated into the growing polymer matrix during the emulsion polymerization of acrylonitrile (AN) with acrylic acid/sodium acrylate (AA/NaAA) at varied comonomer ratios to prepare different nanocomposites. UF membranes were prepared from these composites by phase inversion at varied casting conditions. These casting variables were optimized with a Box-Behnken Design (BBD) of the response surface methodology (RSM) model for a MEUF of 50 mg/L of a cationic dye methylene blue (MB) in the presence of 10 mM of an anionic surfactant sodium dodecyl sulfate (SDS). The polymer and the UF membranes prepared with the optimized composition were also characterized and used for permeation flux and rejection% at varied process conditions. The parameters of resistance series model and micellar efficiency were estimated.

Results

The membrane prepared with the AN:AA-NaAA molar ratio/clay weight%/evaporation time/gel temperature of 5:1/ 1 %/109 s/30 °C and SDS concentration of 10 mM showed an optimized flux/rejection of 555.1 Lm^-2h^-1 /95 % in a cross flow mode at a 3 bar operating pressure . The unfilled membrane with a similar composition showed a flux/rejection of 566.5 Lm^-2h^-1 /93 %.

方法在丙烯腈（AN）与丙烯酸/丙烯酸钠（AA/NaAA）的乳液聚合过程中，将蒙脱石钠（Na-MMT）纳米粘土颗粒以不同的共聚物比率加入到不断生长的聚合物基质中，以制备不同的纳米复合材料。在不同的浇铸条件下，通过相反转用这些复合材料制备超滤膜。这些浇铸变量通过响应面方法（RSM）模型的箱-贝肯设计（BBD）进行了优化，MEUF 为 50 mg/L 的阳离子染料亚甲基蓝（MB），存在 10 mM 的阴离子表面活性剂十二烷基硫酸钠（SDS）。用优化组合制备的聚合物和超滤膜也进行了表征，并在不同的工艺条件下进行了渗透通量和排斥率的测试。结果用 AN:AA-NaAA 摩尔比/粘土重量%/蒸发时间/凝胶温度为 5:1/ 1 %/109 s/30 °C 和 SDS 浓度为 10 mM 制备的膜在 3 巴操作压力下以横流模式显示出 555.1 Lm-2h-1 /95 % 的优化通量/排斥率。成分相似的未填充膜的通量/抑制率为 566.5 Lm-2h-1 /93%。

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引用次数: 0

New characterization models for macroscopic chemical-hydrodynamic behavior of catalytic cracking riser-reactor with interactive patterns of severe operating conditions using CFD calculations 利用 CFD 计算建立具有严酷操作条件交互模式的催化裂化立管-反应器宏观化学-流体动力学行为的新表征模型

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2024-09-18 DOI: 10.1016/j.jtice.2024.105767

Saba Foroutan Ghazvini, Elena Nikolaevna Ivashkina, Vyacheslav Alekseevich Chuzlov

Background

FCC is the core of refining technologies for production of high-valued chemicals including, light olefins, and fuels. Global capacity of catalytic cracking unites is projected to grow from 14.4 to 15.8 million barrels per day from 2022 to 2026. Moreover, global production of 57 % ethylene, 42 % propylene and 69 % butylene is based on deep/fluid catalytic cracking. Therefore, optimization of catalytic cracking process is our indispensable industrial approach.

Methods

This study is optimization of industrial catalytic cracking unit for maximizing the yield of light gases, gasoline and gasoil conversion using CFD calculations. Hydrodynamic behavior and performance of the riser-reactor was investigated at severe operating conditions, including feed temperature, catalyst temperature and catalyst to oil ratio (CTO) in the range of 788–903 K, 813–1013 K and 6–18, respectively. New characterization models were proposed for macroscopic chemical-dynamic behavior of the process. Models validated with ANOVA analysis, RSM methodology.

Significant findings

Results showed that the maximum products yield and gasoil conversion occur between 4 and 8 s. It was obtained that the maximum yield of nearly 12 wt% light gases, 38–39 wt% gasoline and 54 % conversion is possible for this geometry of industrial unit via optimization of operating conditions. Coefficients of obtained models and interactive patterns of operating conditions showed that CTO is the most influential parameter on riser-reactor performance.

背景催化裂化是生产高价值化学品（包括轻质烯烃和燃料）的炼油技术核心。预计从 2022 年到 2026 年，全球催化裂化装置的产能将从每天 1,440 万桶增长到 1,580 万桶。此外，全球 57% 的乙烯、42% 的丙烯和 69% 的丁烯是通过深度/流体催化裂化生产的。本研究利用 CFD 计算对工业催化裂化装置进行优化，以最大限度地提高轻质气体、汽油和气油的转化率。研究了立管反应器在苛刻操作条件下的流体动力学行为和性能，包括进料温度、催化剂温度和催化剂油比（CTO），范围分别为 788-903 K、813-1013 K 和 6-18。针对该工艺的宏观化学动力学行为提出了新的表征模型。结果表明，通过优化操作条件，该几何形状的工业装置可获得近 12 wt%的轻质气体产量、38-39 wt%的汽油产量和 54 % 的转化率。所得模型的系数和操作条件的交互模式表明，CTO 是对立管-反应器性能影响最大的参数。

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引用次数: 0

Trifolium repens extracts as a green corrosion inhibitor for carbon steel in a 3.5% NaCl solution 三叶草提取物作为 3.5% NaCl 溶液中碳钢的绿色缓蚀剂

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2024-09-18 DOI: 10.1016/j.jtice.2024.105771

Sobhi Nour El Houda , Boukhouiete Amel , Foudia Malika

Background

Material degradation is a major issue that has been the subject of intense research and investigation by the scientific community. It has harmful consequences that require serious and careful intervention. However, restrictions on the use of inhibitors containing toxic compounds pose a significant challenge to the implementation of effective corrosion treatments. This has necessitated a continuous search for new and innovative ways to protect against material damage. Plant-derived natural inhibitors offer several advantages, including potent inhibitory effects, lack of toxicity, biodegradability, and environmentally sustainable origins. The purpose of this research was to evaluate the corrosion resistance of API5LX60 carbon steel in a 3.5 % NaCl environment using Trifolium repens as an environmentally friendly inhibitor.

Methods

The inhibitor extract was analysed using Fourier Transform Infrared (FTIR) spectroscopy. However, gravimetry and electrochemical methods (potentiodynamic polarization and electrochemical impedance spectroscopy (EIS)) were used to investigate the corrosion behaviour. Scanning electron microscopy (SEM) and atomic force microscopy (AFM) were used to examine the surface morphology.

Significant findings

After testing a range of concentrations in a 3.5 % NaCl medium, the highest level of inhibition (98 %) was obtained at 20 ppm, confirming the mixed action of the inhibitor with predominantly cathodic action. The inhibition mechanism involved physical adsorption on metal surfaces according to the Langmuir model, which enhances the corrosion-inhibiting ability; the extract forms a protective layer that successfully inhibits corrosion, as confirmed through electrochemical and surface analysis. These results demonstrate that the extract acts as a potent anticorrosive agent.

背景材料降解是一个重大问题，一直是科学界深入研究和调查的主题。它所造成的有害后果需要认真仔细的干预。然而，对使用含有毒化合物的抑制剂的限制给实施有效的腐蚀处理带来了巨大挑战。因此，必须不断寻找新的创新方法来防止材料受损。植物提取的天然抑制剂具有多种优势，包括强效抑制作用、无毒性、可生物降解和环境可持续发展等。本研究的目的是评估 API5LX60 碳钢在 3.5% NaCl 环境中的耐腐蚀性，并将三叶草作为一种环境友好型抑制剂。然而，在研究腐蚀行为时，还使用了重力测量法和电化学方法（电位极化和电化学阻抗谱（EIS））。重要发现在 3.5 % 的氯化钠介质中测试了一系列浓度后，百万分之 20 的抑制率最高（98 %），证实了抑制剂的混合作用，主要是阴极作用。根据 Langmuir 模型，抑制机理涉及在金属表面的物理吸附，从而增强了腐蚀抑制能力；提取物形成的保护层成功抑制了腐蚀，这一点已通过电化学和表面分析得到证实。这些结果表明，该提取物是一种有效的防腐剂。

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引用次数: 0

Design amorphous solid dispersion microparticle of aripiprazole in polyvinylpyrrolidone using the supercritical antisolvent process 利用超临界反溶剂工艺设计聚乙烯吡咯烷酮中的阿立哌唑无定形固体分散微粒

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2024-09-17 DOI: 10.1016/j.jtice.2024.105765

Salal Hasan Khudaida, Chen-Yu Yang, Ren-Hong Luo, Chie-Shaan Su

Background

Aripiprazole is a poorly water-soluble antipsychotic drug with limited bioavailability due to its low dissolution rate. This study aimed to enhance its dissolution rate by designing and producing amorphous solid dispersion (ASD) microparticles using polyvinylpyrrolidone (PVP) as a polymeric excipient, utilizing the supercritical antisolvent (SAS) process.

Methods

To achieve a satisfactory ASD formulation, a mixed solvent system was screened for SAS operation. Additionally, the effects of various SAS parameters, including drug/polymer ratio, operating temperature, operating pressure, CO₂ flow rate, solution flow rate, nozzle diameter, and solution concentration, on the design of ASD microparticles were investigated. The solid-state properties of SAS-processed samples were compared with unprocessed aripiprazole and PVP through SEM, PXRD, DSC, and FTIR analyses.

Significant findings

By optimizing the SAS operating parameters, quasi-spherical ASD microparticles with a mean size of about 1 μm were successfully produced. The total powder recovery exceeded 90 %, and the total solution concentration could be increased up to 100 mg/ml to achieve high throughput. The dissolution rate study indicated that the dissolution of the SAS-produced ASD formulation was significantly enhanced approximately 29 times compared to the physical mixture of aripiprazole and PVP.

背景阿立哌唑是一种水溶性较差的抗精神病药物，由于其溶解速率低，生物利用度有限。本研究旨在利用超临界反溶剂（SAS）工艺，以聚乙烯吡咯烷酮（PVP）为聚合物赋形剂，设计并生产无定形固体分散体（ASD）微颗粒，从而提高其溶解率。此外，还研究了各种 SAS 参数（包括药物/聚合物比例、操作温度、操作压力、二氧化碳流速、溶液流速、喷嘴直径和溶液浓度）对 ASD 微颗粒设计的影响。通过 SEM、PXRD、DSC 和 FTIR 分析，比较了 SAS 处理过的样品与未处理过的阿立哌唑和 PVP 的固态性质。粉末总回收率超过 90%，溶液总浓度可提高到 100 mg/ml，实现了高产能。溶出率研究表明，与阿立哌唑和 PVP 的物理混合物相比，SAS 生产的 ASD 制剂的溶出率显著提高了约 29 倍。

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引用次数: 0

Analyte-induced SERS hot spots for dramatically improving the ability to distinguish different concentrations of chemical solutions 分析物诱导 SERS 热点，显著提高区分不同浓度化学溶液的能力

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2024-09-16 DOI: 10.1016/j.jtice.2024.105769

Chih-Yi Liu , Ho-Wen Cheng , Ming-Yu Lai , Hsin-Mei Tsai , Ming-Yeu Liang , Sajal Biring , Shun-Wei Liu

Background

Surface-enhanced Raman scattering (SERS) is commonly used for material detection but usually exhibits low sensitivity to concentration changes. Here, we propose a novel method based on analyte-induced hot spots to enhance its sensitivity.

Methods

SERS substrates were prepared by thermally depositing silver onto glass slides, followed by plasma treatment in a mixed atmosphere of air and oxygen. This treatment altered the silver morphology, increasing the separation between Ag nanoparticles (AgNPs) and initially inhibiting hot spot formation. Consequently, the substrates exhibited low SERS efficiency due to limited hot spot development. Interestingly, upon introducing an aqueous analyte onto the substrate, AgNP aggregation occurred, leading to the formation of numerous hot spots that showed a positive correlation with analyte concentration. This positive correlation significantly enhanced SERS sensitivity to concentration variations.

Significant findings

The proposed technique effectively distinguishes adenine analytes, demonstrating a twofold difference across a concentration range of 2 × 10⁻⁶ to 2 × 10⁻⁴ M, supported by non-overlapping error bars in the SERS signals. Our research introduces an innovative method that utilizes analyte-induced hot spots to significantly enhance SERS effectiveness in distinguishing between different concentrations of chemical solutions. This advancement represents a significant step forward in achieving precise quantitative SERS detection.

背景表面增强拉曼散射（SERS）常用于材料检测，但通常对浓度变化的灵敏度较低。在此，我们提出了一种基于分析物诱导热点的新方法，以提高其灵敏度。方法将银热沉积到玻璃载玻片上，然后在空气和氧气混合气氛中进行等离子处理，制备出 SERS 基底。这种处理方法改变了银的形态，增加了银纳米粒子（AgNPs）之间的分离度，并初步抑制了热点的形成。因此，由于热点发展有限，基底的 SERS 效率较低。有趣的是，当在基底上引入水性分析物时，AgNP 发生聚集，从而形成大量热点，这些热点与分析物浓度呈正相关。这种正相关性大大提高了 SERS 对浓度变化的灵敏度。重要发现所提出的技术能有效区分腺嘌呤分析物，在 2 × 10-6 到 2 × 10-4 M 的浓度范围内显示出两倍的差异，SERS 信号的误差条不重叠。我们的研究引入了一种创新方法，利用分析物诱导的热点来显著提高 SERS 在区分不同浓度化学溶液时的有效性。这一进步标志着在实现精确定量 SERS 检测方面迈出了重要一步。

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