Chemical Engineering Research & Design最新文献_第3页

Coagulative removal of polyethylene microplastics using polyaluminum chloride in conjunction with laminarin 使用聚合氯化铝和层压剂凝结去除聚乙烯微塑料

IF 3.7 3区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Research & Design

Pub Date : 2024-11-09 DOI: 10.1016/j.cherd.2024.11.015

Jinlei Chen, Jiajing Lin, Wenjin Li, Yanyun Wang, Huabin Huang

As emerging pollutants in water, microplastics pose potential risks to aquatic organisms and human health. Previous studies have shown that traditional metal coagulants are effective in removing microplastics from water, but they come with drawbacks such as high chemical dosage and metal residues. Therefore, it is important to explore more efficient coagulation systems. This study utilized laminarin (LA) as a coagulant aid in combination with polyaluminum chloride (PAC) to investigate its enhanced coagulation performance on polyethylene microplastics in water. The performance of coagulation systems for the removal of microplastics was evaluated for different agent dosages, pH, anion and HA content. Experimental results demonstrated that the compounded system (PAC-LA) significantly improved the removal efficiency of PE microplastics compared to the single PAC system, achieving a removal rate of 91.5 % while reducing the dosage of PAC. The enhanced coagulation mechanism of LA was analyzed using various techniques including scanning electron microscope (SEM), Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), and zeta potential analysis. The results indicated that charge neutralization and sweep flocculation were the primary coagulation mechanisms in the presence of PAC alone. The effect of charge neutralization and adsorption was strengthened with the introduction of LA. The coagulation system of PAC-LA showed higher removal rates of PE microplastics under different environmental conditions such as varying pH levels, co-existing anions, and humic acid, suggesting a promising application for microplastic control in water.

作为水中新出现的污染物，微塑料对水生生物和人类健康构成潜在风险。以往的研究表明，传统的金属混凝剂能有效去除水中的微塑料，但也存在化学用量大和金属残留等缺点。因此，探索更高效的混凝系统非常重要。本研究利用层皮素（LA）作为助凝剂，并结合聚合氯化铝（PAC），研究其对水中聚乙烯微塑料的增强混凝性能。针对不同的助凝剂用量、pH 值、阴离子和 HA 含量，对混凝系统去除微塑料的性能进行了评估。实验结果表明，与单一 PAC 系统相比，复合系统（PAC-LA）显著提高了对聚乙烯微塑料的去除效率，在减少 PAC 用量的同时，去除率达到 91.5%。利用扫描电子显微镜（SEM）、傅立叶变换红外光谱（FTIR）、X 射线光电子能谱（XPS）和 zeta 电位分析等多种技术分析了 LA 的增强凝结机理。结果表明，在单独使用 PAC 的情况下，电荷中和与扫掠絮凝是主要的混凝机制。引入 LA 后，电荷中和与吸附作用得到加强。在不同的环境条件下（如不同的 pH 值、共存阴离子和腐殖酸），PAC-LA 混凝系统对 PE 微塑料的去除率更高，这表明其在水中微塑料控制方面具有广阔的应用前景。

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引用次数: 0

Optimising furfural production from lignocellulosic biomass: Feedstock selection, Process enhancement, and Techno-Economic and Environmental viability 优化木质纤维素生物质的糠醛生产：原料选择、工艺改进以及技术经济和环境可行性

IF 3.7 3区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Research & Design

Pub Date : 2024-11-09 DOI: 10.1016/j.cherd.2024.10.035

Léa Pierrat, Pablo García-Triñanes

This review critically examines the state of the art in furfural production technologies from biomass-derived resources, focusing on recent advancements aimed at enhancing process efficiency. Beginning with an overview of current methodologies, the study explores and maps the diversity of available feedstocks, assessing their suitability for optimised furfural generation. Conversion efficiency is analysed with attention to yield optimisation, highlighting the influence of catalysts, temperature control, and enzymatic processes. Recent advancements in process intensification—such as hybrid systems, heat integration, and innovative technologies—are discussed as key pathways for achieving scalable and sustainable production. A review of techno-economic analysis (TEA) sources assesses the commercial feasibility of furfural production from various feedstocks, with a specific focus on bagasse. Additionally, a review of available life cycle assessments (LCAs) offers insights into the environmental impacts of different production methods, contributing to the sustainable development of the industry. The review concludes by summarising critical findings and identifying research priorities essential for advancing towards the ultimate goal of economically feasible and commercially scalable furfural production from lignocellulosic biomass.

本综述对利用生物质资源生产糠醛的技术现状进行了严格审查，重点关注旨在提高工艺效率的最新进展。本研究首先概述了当前的方法，然后探讨并描绘了现有原料的多样性，评估了它们对优化糠醛生产的适用性。研究分析了转化效率，关注产量优化，强调催化剂、温度控制和酶法工艺的影响。讨论了工艺强化方面的最新进展，如混合系统、热集成和创新技术，这些都是实现可扩展和可持续生产的关键途径。对技术经济分析 (TEA) 来源的审查评估了利用各种原料生产糠醛的商业可行性，并特别关注甘蔗渣。此外，对现有生命周期评估（LCAs）的综述深入分析了不同生产方法对环境的影响，有助于该行业的可持续发展。综述最后总结了重要发现，并确定了研究重点，这对推动实现利用木质纤维素生物质生产经济上可行、商业上可扩展的糠醛这一最终目标至关重要。

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引用次数: 0

New metrics for measuring 2D uniformity in stirring system based on reconstruction of the particle trajectory 基于粒子轨迹重构的搅拌系统二维均匀性测量新指标

IF 3.7 3区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Research & Design

Pub Date : 2024-11-09 DOI: 10.1016/j.cherd.2024.11.005

Gai Zhang , Yan Zhang , Xinyu Li , Jianxin Xu , Jun Ma , Hua Wang

In industrial mixing systems, the evaluation method is a crucial indicator for measuring mixing uniformity. This study proposes an assessment method that combines a method for positioning using dual cameras and a point pattern density fluctuation (PD) method based on disordered hyperuniformity. This study employs a method for positioning using dual cameras to investigate the motion trajectories of tracer balls and achieve a 3D reconstruction process. The reconstructed 3D systems are cross-sectioned through on the axis of the stirring paddle to form a 2D planar diagram of the tracer ball trajectories. The PD method is used to evaluate the mixing effectiveness of the 2D trajectory points, establishing evaluation metrics for the 2D mixing system. To ensure the accuracy of the PD method, a feasibility analysis was conducted using the conductometry. A relationship model between λ and mixing time was established, with a Pearson correlation coefficient (r) of −0.9867, indicating a strong negative linear correlation. The relationship between the planes and whole 3D space was analyzed in terms of the whole and the discrete perspective, as well as the existing methods were compared with other approaches. This study not only deepens the theoretical understanding of evaluating mixing uniformity but also provides a crucial foundation and theoretical basis for process optimization of stirring systems and design of stirred reactors. It offers valuable references and insights for engineering design and technological improvements in related fields.

在工业混合系统中，评估方法是衡量混合均匀性的关键指标。本研究提出了一种结合双摄像头定位方法和基于无序超均匀性的点模式密度波动（PD）方法的评估方法。本研究采用双摄像头定位方法来研究示踪球的运动轨迹，并实现三维重建过程。重建后的三维系统通过搅拌桨轴线的横截面形成示踪球轨迹的二维平面图。使用 PD 方法评估二维轨迹点的混合效果，建立二维混合系统的评估指标。为确保 PD 方法的准确性，使用电导仪进行了可行性分析。建立了 λ 和混合时间之间的关系模型，皮尔逊相关系数（r）为 -0.9867，表明两者之间存在较强的负线性相关关系。从整体和离散的角度分析了平面与整个三维空间的关系，并将现有方法与其他方法进行了比较。这项研究不仅加深了对评估搅拌均匀性的理论理解，而且为搅拌系统的工艺优化和搅拌反应器的设计提供了重要的基础和理论依据。它为相关领域的工程设计和技术改进提供了有价值的参考和启示。

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引用次数: 0

Congo red removal using microwave assisted pyrolysis derived magnetic hemp hurd biochar 利用微波辅助热解产生的磁性大麻生物炭去除刚果红

IF 3.7 3区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Research & Design

Pub Date : 2024-11-07 DOI: 10.1016/j.cherd.2024.11.011

Rejeti Venkat Srinadh, Neelancherry Remya

Industrial hemp hurd (HH) are the residue obtained after the decortication of the hemp plant for fibre production, which is seldom explored for biochar potential and as adsorbent for dye removal. The present study focused on the microwave-assisted pyrolysis (MAP) of HH for biochar production, magnetization and application for Congo red (CR) removal from aqueous solutions. Magnetic hemp hurd biochar (MHB) depicted a heterogeneous surface with 4.84 µm pore size, 17.64 m²/g surface area, and 10.05 wt% Fe. CR removal of 92 % was achieved under optimum conditions i.e., treatment time: 120 min, pH: 8, and initial CR concentration: 10 mg/L with MHB dosage of 0.6 g/L. The CR adsorption on MHB was well-fitted with the Freundlich isotherm (R² - 0.971), owing to the heterogeneous surface of MHB. A strong match with pseudo-second order model (R² - 0.973), indicated chemisorption as the likely adsorption mechanism. MHB exhibited 87 % CR removal efficiency after three successive reutilization cycles. The outcomes of CR removal efficiency and MHB reusability indicated its potential application for adsorptive removal of CR from aqueous systems.

工业大麻渣（HH）是大麻植物脱皮生产纤维后的残留物，很少被开发用于生物炭潜力和染料脱除吸附剂。本研究的重点是微波辅助热解（MAP）大麻生物炭的生产、磁化和应用，以去除水溶液中的刚果红（CR）。磁性大麻生物炭（MHB）具有异质表面，孔径为 4.84 µm，表面积为 17.64 m2/g，铁含量为 10.05 wt%。在最佳条件下，即处理时间：120 分钟，pH 值：8，CR 初始浓度：10 毫克/升，MHB 剂量：10 毫克/升，CR 去除率达到 92%：10 mg/L，MHB 用量为 0.6 g/L。由于 MHB 表面的异质性，CR 在 MHB 上的吸附与 Freundlich 等温线（R2 - 0.971）拟合良好。与伪二阶模型（R2 - 0.973）的高度吻合表明化学吸附可能是一种吸附机理。经过三个连续的再利用周期后，MHB 的 CR 去除率达到 87%。CR去除率和MHB重复利用率的结果表明，MHB具有从水体系中吸附去除CR的潜力。

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引用次数: 0

Integrated physical safety–cyber security risk assessment based on layers of protection analysis 基于保护层分析的物理安全-网络安全综合风险评估

IF 3.7 3区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Research & Design

Pub Date : 2024-11-06 DOI: 10.1016/j.cherd.2024.10.036

Feilong Zhang , Jianfeng Yang , Jing Li , Jianwen Zhang , Jinghai Li , Liangchao Chen , Xu Diao , Qianlin Wang , Zhan Dou

The extensive application of information technology in process industries has increased production efficiency but has also introduced new risks. Therefore, it is necessary to systematically analyse the risks within factories to ensure the stable operation of their production systems. This study proposes an integrated risk assessment method based on layers of protection analysis (LOPA), which combines physical safety and cyber security analyses to provide comprehensive risk assessments for the process industry. The method first identifies the hazardous scenarios and protection layers relevant to a process facility. It then identifies potential cyberattack types and existing countermeasures. Subsequently, the functional impacts of attacks on protection layers and potential coupling relationships are discussed. Using common vulnerability scoring system (CVSS) and semi-quantitative methods, the probability of attack is determined to optimize the probability of failure on demand (PFD) of the protection layers. Finally, a case study of a steam separator in a catalytic cracking unit is used to quantitatively explore the potential attacks and risks of coupled protection layers. The application of Bayesian network (BN) is used for further validation of the method. This study offers a novel quantitative tool for risk assessment in the process industry, which can enhance the security and reliability of industrial production and control systems.

信息技术在流程工业中的广泛应用提高了生产效率，但也带来了新的风险。因此，有必要对工厂内部的风险进行系统分析，以确保生产系统的稳定运行。本研究提出了一种基于保护层分析（LOPA）的综合风险评估方法，它结合了物理安全和网络安全分析，为流程工业提供全面的风险评估。该方法首先确定与流程设施相关的危险情景和保护层。然后，确定潜在的网络攻击类型和现有的应对措施。随后，讨论攻击对保护层的功能影响和潜在的耦合关系。利用通用漏洞评分系统 (CVSS) 和半定量方法确定攻击概率，以优化保护层的按需故障概率 (PFD)。最后，以催化裂化装置中的蒸汽分离器为例，定量探讨了耦合保护层的潜在攻击和风险。应用贝叶斯网络（BN）对该方法进行了进一步验证。这项研究为流程工业的风险评估提供了一种新颖的定量工具，可提高工业生产和控制系统的安全性和可靠性。

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引用次数: 0

An entropy measure-based study on flow pattern of gas–liquid two-phase flow in a U-Tube 基于熵值的 U 型管中气液两相流流动模式研究

IF 3.7 3区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Research & Design

Pub Date : 2024-11-06 DOI: 10.1016/j.cherd.2024.10.028

Hao Hu, Peng Li, Qijun Wang, Jun Wang

U-tubes are widely applied in gas–liquid two-phase transportation in chemical engineering. The diverse flow patterns within these tubes significantly affect the pressure loss, heat transfer efficiency, and even the fluid-induced vibration amplitude of the tubes. This study explores the complex flow pattern features in a U-tube in a vertical plane and focuses on recognizing them. For the acquisition and classification of flow patterns, a Computational Fluid Dynamics (CFD) model for gas–liquid two-phase flow is first established, and its quantitative calculation error is ensured to be less than 5%. Then, the spatiotemporal evolution characteristics of flow patterns is analyzed. The real-time pressure drop response is chosen as the representation signal, and its nonlinear features in the time and frequency domain under different flow patterns are explored. A nonlinear time series is constructed by extracting a segment from the real-time pressure drop data, and six entropy measures are applied to analyze and identify them. Finally, the sensitivity of entropy measures to both the time series lengths and the tested sections are evaluated. Results show that there are six typical flow patterns in a U-tube. According to most entropy measures, the bubble flow has the highest complexity; however, the plug flow presents the lowest complexity. In the U-bend, pressure drop signals for the bubble and annular flows show random fluctuations within a specific range, in contrast to the marked periodicity in plug flow signals, while wavy and slug flows exhibit intermittent peak values. Including the upstream and downstream straight pipes in the analysis, rather than focusing solely on the U-bend, significantly increases the complexity of the stratified, plug, and slug flows. Fuzzy entropy is an effective tool for identifying the six flow patterns, demonstrating good resilience to variations in the length of the data series. This characteristic makes it highly useful for real-time identification of flow patterns in the U-bend sections of non-transparent U-tubes, offering considerable potential in chemical equipment.

U 型管广泛应用于化学工程中的气液两相输送。这些管内的各种流型会对管子的压力损失、传热效率，甚至流体引起的振动幅度产生重大影响。本研究探讨了 U 型管在垂直面上的复杂流型特征，并重点对其进行了识别。为了获取流型并对其进行分类，首先建立了气液两相流的计算流体动力学（CFD）模型，并确保其定量计算误差小于 5%。然后，分析流动模式的时空演变特征。选取实时压降响应作为表示信号，探讨其在不同流态下的时域和频域非线性特征。通过从实时压降数据中提取一个片段来构建非线性时间序列，并应用六种熵指标对其进行分析和识别。最后，评估了熵指标对时间序列长度和测试断面的敏感性。结果表明，U 型管中有六种典型的流动模式。根据大多数熵值，气泡流的复杂性最高；然而，堵塞流的复杂性最低。在 U 型弯管中，气泡流和环形流的压降信号在特定范围内随机波动，而塞流信号则具有明显的周期性，而波浪形流和蛞蝓流则表现出断断续续的峰值。将上下游直管也纳入分析范围，而不是只关注 U 形弯管，这大大增加了分层流、堵塞流和蛞蝓流的复杂性。模糊熵是识别六种流动模式的有效工具，对数据序列长度的变化具有良好的适应性。这一特点使其在实时识别非透明 U 形管 U 形弯曲部分的流动模式方面非常有用，在化工设备中具有相当大的潜力。

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引用次数: 0

Donnan dialysis-based approach for reclamation of waste acid with a low concentration 基于唐南透析的低浓度废酸回收方法

IF 3.7 3区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Research & Design

Pub Date : 2024-11-06 DOI: 10.1016/j.cherd.2024.11.009

Sheng Ma , Yu-xiang Jia , Xiao-guang Xu , Meng Wang

This study provides a proof-of-concept investigation into the direct utilization of low-concentration recovered acid as a proton source for the efficient recovery of organic acids via Donnan dialysis, a scenario of particular significance in industrial parks. A primary objective is to examine the implications of waste acid concentration on the coupling process. To evaluate the technological feasibility, process simulations are performed utilizing a mathematical model grounded in the Nernst-Planck equation and associated equilibrium relationships. Furthermore, a variety of experimental conditions, encompassing different types of organic acids and varying concentrations of waste acid, are explored to analyze the ion substitution behaviors involved. The findings from both simulations and experiments indicate that weaker organic acids demonstrate superior performance, particularly regarding recovery rates and process efficiency. Additionally, it is revealed that merely increasing the concentration of the draw solution does not constitute an effective approach for improving the DD-based organic acid recovery process, thereby suggesting the potential for the direct application of low-concentration recovered acid. Given its significant advantages, the proposed DD-based coupling technology shows considerable promise for future applications.

本研究对直接利用低浓度回收酸作为质子源，通过唐南透析高效回收有机酸进行了概念验证调查，这在工业园区中具有特别重要的意义。首要目标是研究废酸浓度对耦合过程的影响。为了评估技术可行性，我们利用基于 Nernst-Planck 方程和相关平衡关系的数学模型进行了工艺模拟。此外，还探讨了各种实验条件，包括不同类型的有机酸和不同浓度的废酸，以分析其中的离子置换行为。模拟和实验结果表明，较弱的有机酸表现出更优越的性能，尤其是在回收率和工艺效率方面。此外，研究还发现，仅仅提高汲取溶液的浓度并不能有效改善基于 DD 的有机酸回收工艺，这表明低浓度回收酸具有直接应用的潜力。鉴于其显著优势，拟议的基于 DD 的耦合技术在未来的应用中大有可为。

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引用次数: 0

A temporal convolution network-based just-in-time learning method for industrial quality variable prediction 基于时间卷积网络的工业质量变量预测及时学习法

IF 3.7 3区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Research & Design

Pub Date : 2024-11-06 DOI: 10.1016/j.cherd.2024.11.003

Xiaoqing Zheng, Baofan Wu, Huiming Chen, Anke Xue, Song Zheng, Ming Ge, Yaguang Kong

Real-time acquisition of quality variables is paramount for enhancing control and optimization of industrial processes. Process modeling methods, such as soft sensors, offer a means to predict difficult-to-obtain quality variables using easily measurable process parameters. However, the dynamic nature of industrial processes poses significant challenges to modeling. For instance, conventional models are typically trained offline using historical data, rendering them incapable of adapting to real-time changes in data distribution or environmental conditions. To tackle this challenge, we introduce a novel approach termed the Residual Temporal Attention Temporal Convolution Network (RTA-TCN) and propose a just-in-time learning method based on RTA-TCN for industrial process modeling. The RTA-TCN model incorporates temporal attention into TCN, enabling the integration of previous time-step process variables into the current ones, as well as the fusion of internally relevant features among inputs. Moreover, to prevent the partial loss of original information during feature integration, residual connections are introduced into the temporal attention mechanism. These connections facilitate the retention of original feature information to a maximal extent while integrating relevant features. Consequently, the proposed RTA-TCN demonstrates significant advantages in handling the non-linearity and long-term dynamic dependencies inherent in industrial variables. Additionally, the proposed just-in-time learning method leverages RTA-TCN as a local model and updates it in real-time using online industrial data. This just-in-time learning method enables effective adaptation to varying data distributions and environmental conditions. We validate the performance of our method using two industrial datasets (Debutanizer Column and Sulfur Recovery Unit).

实时获取质量变量对于加强控制和优化工业流程至关重要。软传感器等过程建模方法提供了一种利用易于测量的过程参数预测难以获取的质量变量的方法。然而，工业流程的动态性质给建模带来了巨大挑战。例如，传统模型通常使用历史数据进行离线训练，无法适应数据分布或环境条件的实时变化。为了应对这一挑战，我们引入了一种名为 "残差时空注意力时空卷积网络"（RTA-TCN）的新方法，并提出了一种基于 RTA-TCN 的及时学习方法，用于工业流程建模。RTA-TCN 模型将时间注意力纳入 TCN，从而能够将前一时间步的过程变量整合到当前变量中，并在输入中融合内部相关特征。此外，为了防止在特征整合过程中部分丢失原始信息，在时间注意力机制中引入了残差连接。这些连接有助于在整合相关特征的同时最大限度地保留原始特征信息。因此，拟议的 RTA-TCN 在处理工业变量固有的非线性和长期动态依赖性方面具有显著优势。此外，所提出的即时学习方法利用 RTA-TCN 作为局部模型，并利用在线工业数据对其进行实时更新。这种即时学习方法能有效适应不同的数据分布和环境条件。我们使用两个工业数据集（脱碱塔和硫磺回收装置）验证了我们方法的性能。

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引用次数: 0

Kinetics of galactooligosaccharides (GOS) production with two β-galactosidases: Metallic ion effect and mathematical model 使用两种β-半乳糖苷酶生产半乳寡糖（GOS）的动力学：金属离子效应和数学模型

IF 3.7 3区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Research & Design

Pub Date : 2024-11-04 DOI: 10.1016/j.cherd.2024.11.001

M.A. Noriega , F. Rico-Rodríguez , J.D. Rosales , J.C. Serrato-Bermúdez

Galactooligosaccharides (GOS) are functional carbohydrates produced from different lactose sources like cheese whey. They are relevant products in the dairy industry. However, its enzymatic production implies a challenge due to its inhibition by metallic ions presence. Enzymatic production of GOS from lactose using β-galactosidase from Kluyveromyces lactis and Aspergillus oryzae were studied in the presence of metallic ions (calcium, potassium, sodium, and magnesium). Also, a kinetic enzymatic model was proposed and correlated to explain the metallic ion effect in the GOS production. For both enzymes, stronger inhibition effects were observed when calcium was present, followed by potassium, sodium, and magnesium. Consequently, additional efforts must be made for the calcium remotion before the enzymatic reaction for industrial applications. Moreover, the second-order kinetic model proposed in this work describes the GOS production using both enzymes with metallic ions presence. It was stablished that for GOS production using β-gal from K. lactis and A. oryzae with various salts, calcium showed the strongest inhibition for both enzymes, followed by potassium and sodium. A second-order kinetic model accurately described GOS production, better reflecting hydrolysis inhibition than transgalactosylation inhibition

半乳寡糖（GOS）是一种功能性碳水化合物，由不同的乳糖源（如奶酪乳清）生产而成。它们是乳制品行业的相关产品。然而，由于金属离子的存在会抑制其酶法生产，这给酶法生产带来了挑战。研究了在金属离子（钙、钾、钠和镁）存在的情况下，利用乳酸克鲁维氏菌和黑曲霉中的β-半乳糖苷酶从乳糖中酶解生产 GOS 的情况。此外，还提出了一个酶动力学模型，并与之相关联，以解释金属离子对 GOS 生成的影响。对于这两种酶来说，当存在钙离子时，抑制作用更强，其次是钾、钠和镁。因此，在工业应用中，必须在酶促反应前努力去除钙离子。此外，这项工作中提出的二阶动力学模型描述了两种酶在金属离子存在的情况下生产 GOS 的情况。研究结果表明，在不同盐类条件下，利用乳酸菌和酵母菌的β-gal生产 GOS 时，钙对两种酶的抑制作用最强，其次是钾和钠。二阶动力学模型准确地描述了 GOS 的产生，更好地反映了水解抑制作用而不是转半乳糖基化抑制作用

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引用次数: 0

Coalescence performance of Janus filter for the removal of oil mist 用于去除油雾的 Janus 过滤器的聚结性能

IF 3.7 3区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Research & Design

Pub Date : 2024-11-03 DOI: 10.1016/j.cherd.2024.11.002

Chengwei Xu , Yifu Wang , Yan Yu , Lirong Li

The wettability has an important effect on coalescence performance of filter. In this paper, we utilized a commercial glass fiber filter as the substrate to prepared the Janus filter through dip-coating and electrospraying. The Janus filter exhibited a remarkable reduction in pressure drop, with only 2.8 kPa of wet pressure drop compared to 6.1 kPa for the original filter and 5.4 kPa for the oleophilic filter. Notably, the coating depth played a critical role in enhancing the coalescence performance of the Janus filter. Furthermore, when placing the Janus filter in reverse direction, its quality factor increased by 2.87 times, highlighting that orientation is an essential factor for coalescence performance of Janus filters. The results indicate great potential in the application of Janus filters for coalescence filtration.

润湿性对过滤器的凝聚性能有重要影响。本文以商用玻璃纤维过滤器为基材，通过浸涂和电喷雾制备了 Janus 过滤器。Janus 过滤器的压降显著降低，湿压降仅为 2.8 kPa，而原过滤器为 6.1 kPa，亲油过滤器为 5.4 kPa。值得注意的是，涂层深度对提高 Janus 过滤器的凝聚性能起着至关重要的作用。此外，将獐牙菜过滤器反向放置时，其品质因数增加了 2.87 倍，这表明方向是獐牙菜过滤器聚结性能的关键因素。研究结果表明，在聚结过滤中应用 Janus 过滤器具有巨大的潜力。

引用次数: 0