Industrial & Engineering Chemistry Research最新文献

{"title":"Determination of Permeability and Transbilayer Diffusion Coefficient across Lipid Bilayers of Liposomes by Using Capillary Electrophoresis with Moment Analysis Theory","authors":"Kanji Miyabe*,&nbsp; and ,&nbsp;Shunta Inaba,&nbsp;","doi":"10.1021/acs.iecr.5c00066","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c00066","url":null,"abstract":"<p >A method was developed for experimental determination of the transbilayer diffusion coefficient (<i>D</i>_tb) of solute molecules across lipid bilayers of liposomes. It consists of two steps, i.e., experimental determination of lipid membrane permeability and calculation of <i>D</i>_tb. At first, lipid membrane permeability is determined by analyzing elution peak profiles measured by liposome electrokinetic chromatography (LEKC), in which liposomes themselves are used as pseudostationary phases. Then, the value of <i>D</i>_tb is calculated from that of the lipid membrane permeability on the basis of solubility diffusion theory. The moment analysis method with LEKC experiments is effective for understanding the characteristics and mechanism of transverse solute diffusion across lipid bilayers because a wide range of values of transbilayer diffusion coefficient can be determined by the method under various conditions. It was considered how the value of <i>D</i>_tb is correlated with the number of carbon atoms in the alkyl chains of the phospholipids.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 37","pages":"18354–18364"},"PeriodicalIF":3.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094696","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}

{"title":"Strengthening Your Networks and Responding to Stress and Strain: What Humans in STEM Can Learn from Soft Matter and Biological Materials","authors":"Surita R. Bhatia*,&nbsp; and ,&nbsp;Jennifer L. Ross*,&nbsp;","doi":"10.1021/acs.iecr.5c02000","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c02000","url":null,"abstract":"<p >This paper, inspired by the contributions of William B. Russel as both a rheologist and mentor, provides strategies for resilience and success in STEM fields that are inspired by soft materials, colloidal dispersions, polymeric gels, and biological networks. Three phenomena that are important in understanding the structure, dynamics, and rheology of networks are presented, and we discuss the relationship between these phenomena and approaches for developing networks of mentoring and strategies for persistence. We make the case for building mentoring networks with many junctions and ensuring that the junction points are strong enough to support stress. The concept of “multiple mentoring” and analogies with composite networks are also described. Finally, approaches to providing resilience and preventing failure at high strains are also described. The strategies presented are based on recent research on effective mentoring models and evidence-based approaches to promote motivation and achievement in STEM fields.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 37","pages":"18077–18082"},"PeriodicalIF":3.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.5c02000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of Micronano Bubbles: Stability, Mass Transfer Performance, and Application","authors":"Ya Qin,&nbsp;Yu Chen,&nbsp;Di Bao,&nbsp;Han Zhou,&nbsp;Xiaojin Tang and Zhenxing Zhu*,&nbsp;","doi":"10.1021/acs.iecr.5c01832","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c01832","url":null,"abstract":"<p >Micronano bubbles (MNBs), as a gas–liquid system exhibiting unique advantages across multiple fields, have attracted considerable attention regarding their high stability and mass transfer performance. In this review, the generation, stability, mass transfer performance, and applications of MNBs in process intensification are summarized. With sizes in the micronano range, these bubbles are characterized by a slow rising velocity, prolonged residence time, and surface charges, contributing to their high stability. In terms of mass transfer performance, MNBs exhibit a high mass transfer coefficient and a large specific surface area, with mass transfer rates significantly surpassing those of conventional bubbles under certain conditions. However, the variation of the boundary layer thickness with bubble diameter warrants further investigation. Currently, MNBs have been applied in mineral flotation, water treatment, chemical engineering, and other fields, demonstrating improved processing efficiency and reaction effectiveness in specific scenarios. This review systematically elucidates the stability and mass transfer characteristics of MNBs and discusses their applications, offering theoretical insights and practical guidance for research and industrial implementation in related fields.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 37","pages":"17981–18001"},"PeriodicalIF":3.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094695","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}

{"title":"Static Contact Angles of Mixtures: Classical Density Functional Theory and Experimental Investigation","authors":"Benjamin Bursik*,&nbsp;Nikolaos Karadimitriou,&nbsp;Holger Steeb and Joachim Gross*,&nbsp;","doi":"10.1021/acs.iecr.5c02031","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c02031","url":null,"abstract":"<p >This work assesses classical density functional theory (DFT) for predicting static contact angles of pure substances and mixtures by comparison with new experimental data. A Helmholtz energy functional based on perturbed-chain statistical associating fluid theory (PC-SAFT) describes fluid–fluid interactions, combined with an effective external potential for solid–fluid interactions. The solid is characterized by adjusting a single solid–solid interaction parameter to the contact angle of <i>n</i>-octane; all other results are predictions. Surface tensions between solid, liquid, and vapor phases are determined from one-dimensional DFT, and Young’s equation yields the contact angle. Experiments employ the sessile droplet method on a nonpolar polytetrafluoroethylene (Teflon) substrate. Accurate results are achieved for pure substances except monohydric alcohols, where neglecting orientational effects contributes to systematic overestimation. For mixtures, predictions are reliable whenever the respective pure substances are described well, including polar and hydrogen-bonding systems. Overall, DFT based on PC-SAFT enables fast and accurate contact angle predictions.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 37","pages":"18214–18224"},"PeriodicalIF":3.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094716","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}

{"title":"Evaluation of a Titanium-Based Adsorbent for Lithium Extraction from Various Brines: Applicability and Mechanism Insights","authors":"Yafei Zhao,&nbsp;Ye Zhuang*,&nbsp;Xinke Lai,&nbsp;Fang Zheng,&nbsp;Bingqian Li,&nbsp;Yifei Wu and Wenwen Chen,&nbsp;","doi":"10.1021/acs.iecr.5c01571","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c01571","url":null,"abstract":"<p >This study investigated the applicability, underlying mechanisms, and countermeasures for using a titanium-based adsorbent in lithium extraction from different types of brine. First, the effect of brine pH on the adsorption performance of the titanium-based adsorbent was tested; when the pH decreased from 11.8 to 1.8, the equilibrium Li⁺ adsorption capacity sharply dropped from 21.9 to 0.9 mg/g due to the significantly negative effect of H⁺. Second, the adsorbent‘s performance was tested with different types of salt lake brine and mother liquor from lithium precipitation. The equilibrium adsorption capacity ranged from 15 to 21 mg/g for carbonate-type brine, sodium sulfate-type brine, and mother liquor but was only 5–7 mg/g for magnesium sulfate-type and chloride-type brine; moreover, the lithium recovery rate could not be significantly improved by increasing the amount of the adsorbent. The main reason was that the former three brines contain large amounts of bicarbonate and/or carbonate ions, which acted as acid buffers, resulting in a minimal pH decrease during adsorption. To improve the applicability of the adsorbent for magnesium sulfate-type brine and chloride-type brine, the effects of different acid buffers were investigated. With the introduction of acid buffer NaHCO₃, the pH of magnesium sulfate-type brine at adsorption equilibrium increased from 3.3 to 6.8, and the adsorption capacity increased from 6.4 to 16.2 mg/g, indicating that acid buffer can significantly improve the applicability of a titanium-based adsorbent. The key to determining the suitable acid buffers for regulating the brine pH lies in their reactivity with the brine. Finally, an electrolysis-based technological route was proposed to improve the applicability of a titanium-based adsorbent. This method can also increase the pH of the brine, thereby significantly enhancing the adsorption performance for chloride- and magnesium sulfate-type brine. This study provides valuable insights for industrial applications of titanium-based adsorbents.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 37","pages":"18381–18389"},"PeriodicalIF":3.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094686","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}

{"title":"Anionic Sulfur Quantum Dots as Reductive Photocatalysts via the Auger Process for Dehalogenation Reactions","authors":"Guofeng Zhao,&nbsp;, ,&nbsp;Jingnan Zhao*,&nbsp;, ,&nbsp;Yue Lu,&nbsp;, ,&nbsp;Rui Cai,&nbsp;, ,&nbsp;Zunchao Liu,&nbsp;, ,&nbsp;Xiangmin Tian,&nbsp;, ,&nbsp;Peiyu Yi,&nbsp;, ,&nbsp;Qilei Liu,&nbsp;, and ,&nbsp;Qingwei Meng*,&nbsp;","doi":"10.1021/acs.iecr.5c02586","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c02586","url":null,"abstract":"<p >Quantum dots (QDs) have garnered significant attention as promising photocatalysts due to their high extinction coefficients, small size, and large specific surface area. The Auger process can make them strong reductive photocatalysts, enhancing the redox capabilities of QDs. However, in reduction reactions, QDs typically require the protection of inert gases and the addition of extra reducing agents. In this study, we utilized metal-free sulfur quantum dots (SQDs) as photocatalysts to achieve dehalogenation reactions under ambient air conditions without the need for additional reducing agents. Due to the absence of strict reaction conditions, this reaction can be easily amplified in a continuous flow reactor. Mechanistic studies revealed that the Auger process occurred in SQDs, making them strong reductive photocatalysts. The presence of 1,4-dioxane and the formation of charge-transfer complexes play crucial roles in enhancing the robustness of SQDs.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 38","pages":"18784–18793"},"PeriodicalIF":3.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145117454","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}

{"title":"Graphene Oxide-Activated Cellular Ceramic Composite Monoliths for Protein Purification","authors":"Eleonora Lalli,&nbsp;Riccardo Onesti,&nbsp;Andrei V. Kovalevsky,&nbsp;Carla A.M. Portugal,&nbsp;João G. Crespo,&nbsp;Giulio C. Sarti and Cristiana Boi*,&nbsp;","doi":"10.1021/acs.iecr.5c01179","DOIUrl":"10.1021/acs.iecr.5c01179","url":null,"abstract":"<p >Cellular Al₂TiO₅–Al₂O₃ composite ceramic monoliths were prepared and tested as a potential stationary phase for process chromatography. The material was characterized by measuring the pore size distribution and hydraulic permeability. The interstitial porosity, the axial dispersion coefficient, and the height equivalent to a theoretical plate were calculated by pulse tests under nonbinding conditions. The surface of the ceramic material was activated with graphene oxide and then functionalized with Cibacron Blue F3GA. The dynamic binding capacity of the functionalized columns was measured in chromatographic cycles by using bovine serum albumin (BSA) as the target molecule. The experiments showed that the proposed monoliths have a well-defined porous structure, leading to particularly interesting flow properties for chromatographic bioseparations, such as very high permeability and convection, as the main mass transport phenomenon. These results are encouraging for a possible future optimization of the functionalization procedure toward the development of efficient convective media for protein purification.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 37","pages":"18193–18202"},"PeriodicalIF":3.9,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.5c01179","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145009099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physics-Informed Koopman Networks for Industrial Process Time-Series Prediction","authors":"Hang Liu,&nbsp;Gaowei Yan*,&nbsp;Lifeng Cao,&nbsp;Suxia Ma,&nbsp;Guanjia Zhao and Zhongyuan Liu,&nbsp;","doi":"10.1021/acs.iecr.5c02217","DOIUrl":"10.1021/acs.iecr.5c02217","url":null,"abstract":"<p >Industrial time series data record the dynamic changes of key parameters, and accurate prediction is crucial for real-time monitoring and production optimization. However, deep learning models encounter significant challenges in complex industrial environments, including inadequate modeling of long-term dependencies and limited generalization capabilities under varying operational conditions and noise interference. To overcome these challenges, this paper introduces a physics-informed Koopman network (PIKN) that integrates the global linearization capabilities of Koopman theory with physical prior knowledge, thereby enhancing the model’s prediction accuracy and generalization. Specifically, PIKN employs a neural network to learn the observation function, mapping the nonlinear time series to the Koopman latent space, which enables linear prediction of dynamic behavior. Additionally, a physical regularization term, derived from a simplified mechanistic equation, is incorporated into the loss function to ensure the model adheres to physical laws, thereby improving its robustness against noise and adaptability to varying operational conditions. Experimental results demonstrate that PIKN achieves superior prediction accuracy and enhanced generalization capabilities across multiple industrial data sets, thereby validating its effectiveness and advantages in industrial time series prediction.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 37","pages":"18328–18346"},"PeriodicalIF":3.9,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145009098","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}

{"title":"A Multifunctional Nanofiber Membrane Integrating PM Filtration with Rapid, Visual, and Selective Formaldehyde Sensing","authors":"Chen Liu,&nbsp;Yutang Kang,&nbsp;Yuanyuan Rao,&nbsp;Shasha Feng*,&nbsp;Feng Zhang,&nbsp;Zhaoxiang Zhong and Weihong Xing,&nbsp;","doi":"10.1021/acs.iecr.5c02388","DOIUrl":"10.1021/acs.iecr.5c02388","url":null,"abstract":"<p >In this study, a polyacrylonitrile (PAN) nanofibrous membrane demonstrating both high particulate matter filtration efficiency and formaldehyde visual detection capabilities was obtained by electrospinning. The additive polyvinylpyrrolidone (PVP) was introduced to adjust the structural characteristics and hydrophilicity of the membrane, while methyl yellow (MY) was added as a colorimetric indicator. Sulfamic acid was then loaded on the membrane to obtain the sensing property. The obtained nanofibrous membrane exhibits excellent PM_0.3 filtration efficiency (99.88%) with low filtration pressure drop (159.3 Pa). The sensing accuracy for formaldehyde can reach below 50 ppb (World Health Organization, safety concentration &lt;80 ppb), and it can identify formaldehyde at a concentration of 1 ppm within 10 min. Owing to the specific reaction between sulfamic acid and formaldehyde, the membrane exhibited excellent anti-interference performance against other volatile organic compounds. This nanofiber colorimetric sensing membrane holds great potential for application in respiratory protective equipment.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 37","pages":"18522–18532"},"PeriodicalIF":3.9,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145009096","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}

{"title":"Multicriteria Optimization of Turbulence Intensity in Supercritical CO2 Extraction: Coupled Numerical Analysis and Experimental Validation","authors":"Ali Saebi,&nbsp;Hossein Balanian,&nbsp;Mahsa Ghafouri,&nbsp;Mehdi Delkhoshrad,&nbsp;Hamidreza Gholami,&nbsp;Arian Hosseinirad,&nbsp;Mehdi Hasani,&nbsp;Fatemeh Nikkhoo,&nbsp;Mohammadjafar Aghasian,&nbsp;Saeid Minaei,&nbsp;Mohammad-Taghi Ebadi,&nbsp;Leonardo Baptista,&nbsp;Reza Rasoolzadeh* and Alireza Mahdavian*,&nbsp;","doi":"10.1021/acs.iecr.5c02508","DOIUrl":"10.1021/acs.iecr.5c02508","url":null,"abstract":"<p >The thermal behavior of supercritical CO₂ within high-pressure extractors plays a pivotal role in preserving temperature-sensitive bioactive compounds during extraction. However, the effects of turbulence intensity (TI) on local heat transfer dynamics, fluid stability, and extraction efficiency remain poorly quantified. This study presents an integrated computational and experimental framework to systematically evaluate the impact of TI (2–20%) on wall temperature uniformity, pressure distribution, CO₂ density fluctuations, and the extraction yield of bioactive compounds. A validated CFD model was developed and experimentally supported through high-resolution infrared thermography and GC-FID/GC-MS analysis, with a maximum deviation below 0.96 °C. Multicriteria decision-making combining Shannon entropy weighting and TOPSIS analysis revealed that a 4% turbulence intensity offered the most thermodynamically stable configure ratio and the highest Linalool yield (74.05  ±  2.47%). These findings deepen the understanding of turbulence-heat-compound coupling in supercritical systems and offer a scalable methodology for optimizing extraction conditions in pharmaceutical and food applications.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 37","pages":"18468–18476"},"PeriodicalIF":3.9,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.5c02508","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145009097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}