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Parametric study on the mixed solvent synthesis of ZIF-8 nano- and micro-particles for CO adsorption: A response surface study

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Frontiers of Chemical Science and Engineering 2020年第4期14卷 579-594页

作者： Alireza Hadi Javad Karimi-Sabet Abolfazl Dastbaz Department of Chemical Engineering Faculty of EngineeringUniversity of TehranTehranIran Material and Nuclear Fuel Research School(MNFRS) Nuclear Science and Technology Research InstituteTehranIran

The room temperature synthesis of ZIF-8 micro-and nano-particles was investigated using a mixed methanol-water solvent ***-8 particles of good quality and high crystallinity were *** surface methodology was used to determine the effect of the synthesis conditions on the ZIF-8 yield,particle size distribution,and mean particle *** ligand/metal salt molar ratio followed by the amount of sodium formate(the deprotonating agent)and then the amount of water(i.e,the composition of the mixed solvent)respectively had the largest effects on both the ZIF-8 yield and particle *** showed that mixing of solvents with different strengths in producing ZIF-8 crystals is a practical method to size-controlled synthesis of ZIF-8 *** method is more favorable for industrial-scale ZIF-8 synthesis than using excess amounts of ligands or chemical additives(like sodium formate).In addition,ZIF-8 samples with different mean particle sizes(100,500,and 1000 nm)were used for CO adsorption and the mid-sized ZIF-8 particles had the highest adsorption capacity.

关键词： metal organic frameworks zeolitic imidazo-late frameworks ZIF-8 response surface methodology box behnken design CO adsorption

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Transesterification of castor oil:neuro‑fuzzy modelling,uncertainty quantification and optimization study

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Systems Microbiology and Biomanufacturing 2023年第4期3卷 669-680页

作者： Kehinde A.Babatunde Kazeem K.Salam Olufunmilayo A.Aworanti Olusesan A.Olu-Arotiowa Solomon O.Alagbe Titilayo D.Oluwole Department of Chemical Engineering Ladoke Akintola University of Technology(LAUTECH)P.M.B.4000OgbomosoNigeria

This study conducted experiments used for the development of both the regression model with uncertainty analysis and the adaptive neuro-fuzzy inference system(ANFIS)model for the prediction of the yield of biodiesel(YB)produced from castor oil in the presence of calcium oxide derived from the *** behnken design(BBD)was used to develop the experimental condition for five different variables while YB was the *** analysis was determined from Monte Carlo simulation(MCS).The model was optimized and validated before the generated data was applied in the three ANFIS modelling *** mean square error(RMSE),coefficient of correlation(R^(2))and average percentage error(APE)were used to determine the accuracy of the models *** result of this modelling shows that the optimum YB(94.29%)was achieved at a methanol to oil ratio of 11.48,catalyst loading of 3.38 wt%,reaction time of 1.84 h,the temperature of 60.2℃,and agitation of 343.5 *** prediction from BBD,ANFIS and MCS agreed that the methanol to oil ratio was the most important parameter for *** considered ANFIS model technique(subtractive clustering)for the modelling of YB outperformed BBD *** novelty of this study are the determination of the optimum condition for the transesterification of castor oil in the presence of thermally treated anthill,the establishment of the use of ANFIS in modelling YB,the prediction of the influence of variables on YB using both statistical and,AI techniques and validation of the predictions from the two methods using MCS.

关键词： Artificial intelligence Calcium oxide Eggshell Biodiesel Modelling box behnken design

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<i>In-Silico</i>Validation and Development of Chlorogenic Acid (CGA) Loaded Polymeric Nanoparticle for Targeting Neurodegenerative Disorders

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Journal of Biomaterials and Nanobiotechnology 2020年第4期11卷 279-303页

作者： Vinayak Agarwal Shriya Agarwal Ramneek Kaur Pranav Pancham Harleen Kaur Siddhi Bhardwaj Manisha Singh Department of Biotechnology Jaypee Institute of Information Technology (JIIT) Noida U.P. India School of Medicine Western Sydney University Campbelltown New South Wales Australia Amity Institute of Biotechnology Amity University Noida U.P. India

Background: Recent decades witnessed a significant growth in terms of phytocompounds based therapeutics, extensively explored for almost all types of existing disorders. They have also been widely investigated in Neurodegenerative disorders (NDDs) and Chlorogenic acid (CGA), a polyphenolic compound having potential anti-inflammatory and anti-oxidative properties, emerged as a promising compound in ameliorating NDDs. Owing to its poor stability, bioavailability and release kinetics, CGA needed a suitable nanocarrier based pharmaceutical design for targeting NDDs. Objective: The current study is aimed at the in-silico validation of CGA as an effective therapeutic agent targeting various NDDs followed by the fabrication of polymeric nanoparticles-based carrier system to overcome its pharmacological limitations and improve its stability. Methods: A successful in-silico validation using molecular docking techniques along with synthesis of CGA loaded polymeric nanoparticles (CGA-NPs) by ionic gelation method was performed. The statistical optimisation of the developed CGA-NPs was done by box behnken method and then the optimized formulation of CGA-NPs was characterised using particle size analysis (PSA), Transmission electron microscopy (TEM), Fourier Transform Infrared spectroscopy (FTIR) along with in-vitro release kinetics analysis. Results & Conclusion: The results attained exhibited average particle size of 101.9 ± 1.5 nm, Polydispersibility (PDI) score of 0.065 and a ZP of −17.4 mV. On a similar note, TEM results showed a size range of CGA-NPs between 90 - 110 nm with a spherical shape of NPs. Also, the data from in-vitro release kinetics showed a sustained release of CGA from the NPs following the first-order kinetics suggesting the appropriate designing of nanoformulation.

关键词： Antioxidant Anti-Inflammatory Polymeric Nanoparticles Release Kinetics box behnken design Molecular Docking Particle Size Analysis

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速食紫米方便粥的工艺研究及品质评价

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南京晓庄学院学报 2024年第6期40卷 43-50页

作者：阮鸣刘鹤恬王海鸥南京晓庄学院食品科学学院江苏南京211171

本研究旨在优化营养保健型速食紫米方便粥的加工工艺并评价其品质。以紫米为主要原料,辅以枳实、干姜、红枣和红糖,采用真空冷冻干燥技术,制作该速食方便粥。单因素实验用于考查干姜与枳实配比、干姜与枳实占基础配方比重、干燥方式和... 详细信息

本研究旨在优化营养保健型速食紫米方便粥的加工工艺并评价其品质。以紫米为主要原料,辅以枳实、干姜、红枣和红糖,采用真空冷冻干燥技术,制作该速食方便粥。单因素实验用于考查干姜与枳实配比、干姜与枳实占基础配方比重、干燥方式和干燥时间对方便粥感官评分的影响,以响应面优化法确定方便粥的最佳工艺参数,并按照行业和国家标准评价方便粥的品质。结果表明,速食紫米方便粥的最适工艺条件为:紫米100 g、红糖20 g、红枣30 g、干姜11 g,枳实43 g,真空冷冻干燥6.6 h,以此工艺制备的方便粥的感官、理化和卫生指标均符合要求。速食紫米方便粥口感丰富、香气浓郁、营养健康、食法简单、携带方便。

关键词：加工工艺品质评价速食粥 box behnken design 冷冻干燥中药

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