期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到507篇文章
< 1 2 … 26 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Determination of Ceftazidime-avibactam Content Employing Green Analytical Chemistry Principles Combined with Response Surface Methodology 认领 引用
1
作者 Yizhang WANG Jing LI +7 位作者 Jingyue ZHU Kaimei ZHU Peng XIE Dabiao JING Fujun CHEN Shiqiang OU Yulin HE Shengjiu GU 《Medicinal Plant》 2026年第3期1-5,10,共5页
[Objectives]To quantify the content of ceftazidime-avibactam(CAZ-AVI)employing green analytical chemistry principles and assess the environmental sustainability of the proposed method.[Methods]The concentrations of di... [Objectives]To quantify the content of ceftazidime-avibactam(CAZ-AVI)employing green analytical chemistry principles and assess the environmental sustainability of the proposed method.[Methods]The concentrations of disodium hydrogen phosphate and potassium dihydrogen phosphate,as well as the pH of the buffer solution,were optimized using a Box-Behnken design.The evaluation method s performance was validated through methodological assessment,and its environmental sustainability was appraised employing the AGREE,BAGI,and Complex GAPI tools.[Results]The optimal conditions were determined to be 27.79 mmol/L disodium hydrogen phosphate,20.27 mmol/L potassium dihydrogen phosphate,and a pH of 3.52.The linear ranges for ceftazidime(CAZ)and avibactam(AVI)were 0.09-2.25 and 0.1-3μg/mL,respectively,with correlation coefficients exceeding 0.999.The respective contents were 87.61%and 9.90%.Recovery rates were 98.56%for CAZ and 97.57%for AVI,while the detection limits were as low as 0.44 and 0.75 ng/mL,respectively.The green chemistry evaluation yielded a favorable result,with an AGREE score of 0.85.[Conclusions]The method is sensitive,accurate,and environmentally sustainable,making it suitable for the quality inspection of CAZ-AVI. 展开更多
关键词 Ceftazidime-avibactam(CAZ-AVI) Response surface methodology Green analytical chemistry(GAC) Content determination High performance liquid chromatography(HPLC)
暂未订购 下载PDF
Optimization in the design of gangue and coal gasification slag-based backfill materials based on the response surface methodology 认领 引用
2
作者 Wenchang Feng Dan Kang +4 位作者 Meng Li Jixiong Zhang Zhaoyun Zhang Zhangjie Yin Yuyang Xia 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第7期2163-2177,I0010-I0014,共15页
Backfilling and grouting in the goaf are effective methods that can efficiently dispose of solid wastes including coal gangue(CG)and coal gasification slag(CGS).When backfilling is solely for solid waste disposal,the ... Backfilling and grouting in the goaf are effective methods that can efficiently dispose of solid wastes including coal gangue(CG)and coal gasification slag(CGS).When backfilling is solely for solid waste disposal,the strength requirement for backfill materials is low.In view of this,a gangue and coal gasification slag-based backfill material(GCBM)was prepared,using a low content of alkali-activated slag(AAS)to adjust its mechanical properties.Considering three influencing factors(solid content,CGS content,and AAS content),single-factor experiments and optimization experinents based on response surface methodology(RSM)were conducted,with fluidity and strength as the optimization objectives.Finally,the hardening mechanism and microstructure of GCBM were analyzed.Test results show that the fluidity of GCBM is negatively correlated with solid content,CGS content,and AAS content;the strength is positively correlated with solid content(in a certain range)and AAS content,and first increases and then decreases with the increment of CGS content.The optimal mix-proportions obtained via RSM were as follows:75.35wt%solid content,24.13wt%CGS content,and 4.94wt%AAS content.Analysis of GCBM's chemical composition and microstructure indicates that its main gel phases are calcium aluminosilicate hydrate(C-A-S-H),sodium aluminosilicate hydrate(N-A-S-H),and potassium aluminosilicate hydrate(K-A-S-H).The gels begin to adhere to and wrap inert solid particles when elements Si,Al,Ca,Na,and K dissolved in the alkali-activated system undergo heterogeneous nucleation on solid particle surfaces.The presence of multiple spherical pits on the fracture planes suggests that glass microspheres in CGS to some extent reduce GCBM's strength.The specific surface area and pore structure of GCBM were analyzed,and its environmental safety was preliminarily verified.The results provide theoretical guidance for the large-scale,efficient backfilling disposal of solid wastes,especially CG and CGS. 展开更多
关键词 backfill material response surface methodology coal gasification slag gangue microstructure
暂未订购 下载PDF
Soft computing applications in asphalt pavement:A comprehensive review of data-driven techniques using response surface methodology and machine learning 认领 引用 被引量：2
3
作者 Nura Shehu Aliyu Yaro Muslich Hartadi Sutanto +6 位作者 Mohd Rosli Hainin Noor Zainab Habib Aliyu Usman Muhammad Sani Bello Surajo Abubakar Wada Abiola Usman Adebanjo Ahmad Hussaini Jagaba 《Journal of Road Engineering》 EI CAS 2025年第2期129-163,共35页
The asphalt pavement industry is transforming because of the growing influence of artificial intelligence and industrial digitization.As a result of this shift,there is a stronger emphasis on advanced statistical appr... The asphalt pavement industry is transforming because of the growing influence of artificial intelligence and industrial digitization.As a result of this shift,there is a stronger emphasis on advanced statistical approaches like optimization tools like response surface methodology(RSM)and machine learning(ML)techniques.The goal of this paper is to provide a scientometric and systematic review of the application of RSM and ML applications in data-driven approaches such as optimizing,modeling,and predicting asphalt pavement performance to achieve sustainable asphalt pavements in support of numerous sustainable development goals(SDGs).These include Goals 9(sustainable infrastructure),11(urban resilience),12(sustainable construction strategies),13(climate action through optimized materials),and 17(multidisciplinary interaction).A thorough search of the ScienceDirect,Web of Science,and Scopus databases from 2010 to 2023 yielded 1249 relevant records,with 125 studies closely examined.Over the last thirteen years,there has been significant research growth in RSM and ML applications,particularly in ML-based pavement optimization.The study shows that the topic has a global presence,with notable contributions from Asia,North America,Europe,and other continents.Researchers have concentrated on utilizing sophisticated ML models such as support vector machines(SVM),artificial neural networks(ANN),and Bayesian networks for prediction.Also,the integration of RSM and ML provides a faster and more efficient method for analyzing large datasets to optimize asphalt pavement performance variables.Key contributors include the United States,China,and Malaysia,with global efforts focused on sustainable materials and approaches to reduce impact on the environment.Furthermore,the review demonstrates the integrated use of RSM and ML as transformative tools for improving sustainability,which contributes significantly to SDGs 9,11,12,13,and 17.Providing valuable insights for future research and guiding decision-making for soft computing applications for asphalt pavement projects. 展开更多
关键词 Response surface methodology Machine learning Asphalt pavement Optimization soft computing Prediction
暂未订购 下载PDF
Study on the optimization of the mechanica properties of engineered desulfurization gypsum composites using response surface methodology 认领 引用 被引量：1
4
作者 TAN Yan ZHOU Lijun +2 位作者 YU Jiangtao XIAO Henglin LONG Xiong 《Journal of Southeast University(English Edition)》 EI CAS 2025年第1期58-66,共9页
Practical applications of desulfurization gypsum are limited owing to its brittleness and low strength.To overcome these challenges,researchers have developed engineered desulfurization gypsum composites(EDGCs)by inco... Practical applications of desulfurization gypsum are limited owing to its brittleness and low strength.To overcome these challenges,researchers have developed engineered desulfurization gypsum composites(EDGCs)by incorporating ultrahigh molecular weight polyethylene(UHMWPE)fiber and sulfoaluminate cement(SAC).The mix ratio was optimized using response surface methodology(RSM).Experimental testing of EDGC under compressive and tensile loads led to the creation of a regression model that investigates the influence of variables and their interactions on the material’s compressive and tensile strengths.Additionally,microscopic morphology and hydration product composition were analyzed to explore the influence mechanism.The results indicated that EDGC’s compressive strength increased by up to 38.4%owing to a decreased water-binder ratio and higher SAC content.Similarly,tensile strength increased by up to 38.6%owing to increased SAC and fiber content.Moreover,EDGC demonstrated excellent strain-hardening behavior and multiple cracking characteristics,achieving a maximum tensile strain of nearly 3%.The research findings provide valuable insights for optimizing the performance of desulfurization gypsum. 展开更多
关键词 engineered desulfurization gypsum composites(EDGC) response surface methodology(RSM) interaction compressive strength tensile strength strain-hardening
暂未订购 下载PDF
Optimization and mechanism analysis of multi-solid wastes-based geopolymer using response surface methodology 认领 引用
5
作者 Muyang Huang Shenxu Bao +3 位作者 Yimin Zhang Mengke Li Chong Deng Wenhan Chen 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2025年第6期1345-1357,共13页
The escalating production of industrial solid waste,combined with the dwindling availability of natural resources,has intensified the focus on waste recycling.However,the heterogeneity and complexity of waste pose sig... The escalating production of industrial solid waste,combined with the dwindling availability of natural resources,has intensified the focus on waste recycling.However,the heterogeneity and complexity of waste pose significant challenges to determining process parameters.In this study,burnt coal cinder(BCC),granite powder(GP),and high-calcium fly ash(Class-C FA)were used as raw materials,and the response surface methodology(RSM)and single-factor experiments were applied to optimize the process parameters for geopolymer preparation.The optimized precursor powder composition was determined to be a mass ratio of 1.6:0.9:7.3 for BCC,GP,and Class-C FA.The NaOH-precursor powder ratio and liquid-solid ratio were adjusted to 0.084 and 0.222,respectively.The curing condition was set at 80℃ for 24 h.The resulting 28 d-aged multi-solid wastes-based geopolymer exhibited a high compressive strength of61.34 MPa.The microstructure,mineral phase,and atomic bonding of geopolymers were investigated using X-ray diffraction(XRD),thermal analysis(TA),Fourier transform infrared spectroscopy(FTIR),and scanning electron microscopy with energy dispersive spectroscopy(SEM-EDS).Findings indicate that the compressive strength of geopolymer is most significantly influenced by the Class-C FA,followed by BCC.Furthermore,a minor addition of GP can optimize the structural density of the geopolymer.The Ca present in the Class-C FA participates in the geopolymerization,forming a hybrid N-(C)-A-S-H gel.RSM optimization facilitates the synergistic utilization of multi-solid wastes,ensuring an even distribution of gel and filler.This research establishes a theoretical framework for optimizing the preparation parameters of multi-solid wastes-based geopolymer and its subsequent applications;it holds significant scientific implications for the circular economy,resource transformation,and environmental conservation. 展开更多
关键词 multi-solid wastes geopolymer response surface methodology process parameters synergistic effect
暂未订购 下载PDF
Optimization of defoaming-flocculation-dewatering indices of earth pressure balance(EPB)shield muck using response surface methodology and desirability approach 认领 引用 被引量：2
6
作者 Yao Lu Ming Huang +3 位作者 Chengzhao Zhang Bingnan Wang Liqian Peng Wei Wei 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第2期1134-1148,共15页
In situ recycling is one of the most effective methods to dispose of earth pressure balance(EPB)shield waste muck with residual foaming agents with high moisture content.In this context,response surface methodology(RS... In situ recycling is one of the most effective methods to dispose of earth pressure balance(EPB)shield waste muck with residual foaming agents with high moisture content.In this context,response surface methodology(RSM)was employed to quantify the effects of independent variables,including flocculant dosage,defoamer dosage,and muck drying mass(MDM)and their interactions on defoaming-flocculation-dewatering indices.The polymeric aluminum chloride(PACL)and hydroxy silicone oil-glycerol polypropylene ether(H-G)were selected as the flocculant and defoamer.The contents of surfactants and foam stabilizers in residual foaming agents were determined using the proposed empirical equation.The defoaming ratio,antifoaming ratio,turbidity,moisture content,filtration loss ratio,and fall cone penetration depth were considered as dependent variables.The accuracy of developed RSM models was verified by the analysis results of variance,residuals,and paired t-test.Combined with the desirability approach,an optimal mixing ratio of 0.078 wt%PACL,0.016 wt%H-G,and 27.882 wt%MDM was recommended,leading to a defoaming ratio of 98.34 vol%for residual foams and a moisture content of 56.72 wt%for pressure-filtration cakes.Our findings were demonstrated to be able to provide useful guidance for prediction and optimization of the in situ recycling indicators of EPB shield waste muck in metro tunnel construction sites. 展开更多
关键词 Desirability approach EPB shield Muck recycling Multiobjective optimization Response surface methodology(RSM)
暂未订购 下载PDF
Optimal amino acid system for early embryo development in sows based on response surface methodology and high-throughput screening cell models 认领 引用 被引量：1
7
作者 Xinyu Wang Jun Huang +12 位作者 Yanlong Li Zhekun Zhu Bangxin Xue Yueyang Meng Jiale Bao Ran Ning Siyu Li Fang Chen Shihai Zhang Xiangzhou Zeng Shuang Cai Chuanjiang Cai Xiangfang Zeng 《Journal of Animal Science and Biotechnology》 SCIE CAS CSCD 2025年第3期1324-1340,共17页
Background Early embryo development plays a pivotal role in determining pregnancy outcomes,postnatal development,and lifelong health.Therefore,the strategic selection of functional nutrients to enhance embryo developm... Background Early embryo development plays a pivotal role in determining pregnancy outcomes,postnatal development,and lifelong health.Therefore,the strategic selection of functional nutrients to enhance embryo development is of paramount importance.In this study,we established a stable porcine trophectoderm cell line expressing dual fluorescent reporter genes driven by the CDX2 and TEAD4 gene promoter segments using lentiviral transfection.Results Three amino acid metabolites—kynurenic acid,taurine,and tryptamine—met the minimum z-score criteria of 2.0 for both luciferase and Renilla luciferase activities and were initially identified as potential metabolites for embryo development,with their beneficial effects validated by qPCR.Given that the identified metabolites are closely related to methionine,arginine,and tryptophan,we selected these three amino acids,using lysine as a standard,and employed response surface methodology combined with our high-throughput screening cell model to efficiently screen and optimize amino acid combination conducive to early embryo development.The optimized candidate amino acid system included lysine(1.87 mmol/L),methionine(0.82 mmol/L),tryptophan(0.23 mmol/L),and arginine(3 mmol/L),with the ratio of 1:0.43:0.12:1.60.In vitro experiments confirmed that this amino acid system enhances the expression of key genes involved in early embryonic development and improves in vitro embryo adhesion.Transcriptomic analysis of blastocysts suggested that candidate amino acid system enhances early embryo development by regulating early embryonic cell cycle and differentiation,as well as improving nutrient absorption.Furthermore,based on response surface methodology,400 sows were used to verify this amino acid system,substituting arginine with the more cost-effective N-carbamoyl glutamate(NCG),a precursor of arginine.The optimal dietary amino acid requirement was predicted to be 0.71%lysine,0.32%methionine,0.22%tryptophan,and 0.10%NCG for sows during early gestation.The optimized amino acid system ratio of the feed,derived from the peripheral release of essential amino acids,was found to be 1:0.45:0.13,which is largely consistent with the results obtained from the cell model optimization.Subsequently,we furtherly verified that this optimal dietary amino acid system significantly increased total litter size,live litter size and litter weight in sows.Conclusions In summary,we successfully established a dual-fluorescent high-throughput screening cell model for the efficient identification of potential nutrients that would promote embryo development and implantation.This innovative approach overcomes the limitations of traditional amino acid nutrition studies in sows,providing a more effective model for enhancing reproductive outcomes. 展开更多
关键词 Amino acid Embryonic development High throughput screening Nutrient Response Surface Methodology
暂未订购 下载PDF
Enhancement of Menaquinone-7 production in Bacillus subtilis by optimizing the medium components through response surface methodology 认领 引用 被引量：1
8
作者 Rui Zhang Han Wang +1 位作者 Li Wang Zhiming Zheng 《Bioresources and Bioprocessing》 SCIE EI CSCD 2025年第1期1466-1483,共18页
Menaquinone-7,a form of vitamin K2,plays a critical role in the treatment of hemorrhagic diseases caused by vitamin K deficiency and in the prevention of bone fractures.Microbial fermentation has emerged as a promi... Menaquinone-7,a form of vitamin K2,plays a critical role in the treatment of hemorrhagic diseases caused by vitamin K deficiency and in the prevention of bone fractures.Microbial fermentation has emerged as a promising method for MK-7 production due to its high product optical purity and significant physiological activity.However,the current production efficiency of MK-7 remains insufficient to meet industrial demands.In this study,we employed a combination of single-factor experiments,Plackett-Burman design,steepest ascent experiments,and Box-Behnken design to optimize the fermentation medium for MK-7 production by Bacillus subtilis BS-ΔackA.Through regression analysis and consideration of practical production constraints,the optimal fermentation medium parameters were determined as follows:20 g/L sucrose,20.7 g/L glycerol,47.3 g/L soy peptone,4 g/L yeast extract,and 1.9 g/L KH2PO4,0.1 g/L MgSO4·7 H2O.Under these optimized conditions,the MK-7 yield reached 154.6±1.32 mg/L.The experimental results demonstrated excellent stability and reliability,aligning closely with the model predictions.This study significantly enhances MK-7 production at the shake-flask fermentation level,providing valuable insights for large-scale industrial applications. 展开更多
关键词 Bacillus subtilis MK-7 Medium optimization Response surface methodology
暂未订购 下载PDF
Optimization of methanol distillation process using response surface methodology 认领 引用
9
作者 Xuefeng Feng Xuan Du +4 位作者 Shaolan Zhuang Zhongwei Ding Hongkang Zhao Qunsheng Li Yuxin Li 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2025年第10期164-176,共13页
This study employed the Box-Behnken design in response surface methodology(RSM)to optimize predistillation and pressurized distillation column parameters in methanol distillation.Statistical and fittinganalyses demons... This study employed the Box-Behnken design in response surface methodology(RSM)to optimize predistillation and pressurized distillation column parameters in methanol distillation.Statistical and fittinganalyses demonstrated the effects of operational parameters and their interactions on product purity and operating costs.Results showed that for methanol mass fraction in the product,the top distillate of the predistillation column(D1),the interaction between D1 and the top distillate of the pressurized distillation column(D2),and the interaction between the theoretical plates of the pressurized distillation column(N2)and its refluxratio(R2)significantlyaffected the outcome,in addition to pressurized distillation column parameters.Acetone mass fraction was mainly influencedby predistillation column parameters and their interactions,with minimal relation to the pressurized distillation column.Operating costs were primarily affected by the refluxratio(R),withdrawal(D)of both columns,and their interactions.Optimization strategies involved increasing theoretical plates and reducing refluxratios compared to the initial plan,achieving energy-saving and consumption-reduction goals.The process required the pressurized distillation column‘s methanol mass fraction to exceed 99.80%,acetone mass fraction below 2×10-8,and formaldehyde mass fraction below 5×10-9,with a feed rate of 6100 kg·h-1.Plans A,B,and C achieved energy-savings of 29.80%,21.78%,and 25.50%respectively,while ensuring separation efficiencyand product quality.This research provides theoretical and practical guidance for optimizing the methanol distillation process,helping to reduce energy consumption and production costs,thereby enhancing corporate competitiveness. 展开更多
关键词 Methanol distillation Response surface methodology Box-Behnken design Parameter optimization Energy-saving and consumption reduction Operating cost
暂未订购 下载PDF
An optimal design of the liquid-cooling plate channel in a power battery based on response surface methodology 认领 引用
10
作者 Jinbo Zheng Jibin Jiang +2 位作者 Xiwei Yu Bingjun Yan Guofu Lian 《中国科学技术大学学报》 CAS CSCD 北大核心 2025年第2期52-65,51,I0002,共14页
The work takes a new liquid-cooling plate in a power battery with pin fins inside the channel as the object.A mathematical model is established via the central composite design of the response surface to study the rel... The work takes a new liquid-cooling plate in a power battery with pin fins inside the channel as the object.A mathematical model is established via the central composite design of the response surface to study the relationships among the length,width,height,and spacing of pin fins;the maximum temperature and temperature difference of the battery module;and the pressure drop of the liquid-cooling plate.Model accuracy is verified via variance analysis.The new liquid-cooling plate enables the power battery to work within an optimal temperature range.Appropriately increasing the length,width,and height and reducing the spacing of pin fins could reduce the temperature of the power battery module and improve the temperature uniformity.However,the pressure drop of the liquid-cooling plate increases.The structural parameters of the pin fins are optimized to minimize the maximum temperature and the temperature difference of the battery module as well as the pressure drop of the liquid-cooling plate.The errors between the values predicted and actual by the simulation test are 0.58%,4%,and 0.48%,respectively,which further verifies the model accuracy.The results reveal the influence of the structural parameters of the pin fins inside the liquid-cooling plate on its heat dissipation performance and pressure drop characteristics.A theoretical basis is provided for the design of liquid-cooling plates in power batteries and the optimization of structural parameters. 展开更多
关键词 response surface methodology power battery cooling channel optimal design
暂未订购 下载PDF
Research on the Cymbidium tortisepalum var.longibracteatum Growth and Non-Tube Rapid Propagation Based on Response Surface Methodology 认领 引用
11
作者 Guolan Wang Ting Xie +2 位作者 Lijun Fu Siying Qu Jie Li 《Phyton-International Journal of Experimental Botany》 SCIE 2025年第3期953-971,共19页
The objective of this study was to determine the optimal proportions of plant growth regulators for growth and non-tube rapid propagation of Cymbidium tortisepalum var. longibracteatum;seedlings were utilized as the m... The objective of this study was to determine the optimal proportions of plant growth regulators for growth and non-tube rapid propagation of Cymbidium tortisepalum var. longibracteatum;seedlings were utilized as the material. The effects of various combinations and concentrations of 6-benzylaminopurine (6-BA), gibberellic acid (GA3), and naphthaleneacetic acid (NAA) on growth and non-tube rapid propagation were assessed through a single-factor testing and response surface methodology. The results indicated that 6-BA at 60 mg/L, GA3 at 150 mg/L, and NAA at 30 mg/L were the most effective concentrations for promoting leaf buds formation in the single-factor analysis. Response surface methodology clarified the sensitivity of the proliferation rate of lateral buds to the three factors, with 6-BA being the most influential, followed by GA3 and NAA. The increase in leaf area was most significantly influenced by NAA, then GA3, and least by 6-BA, while the increase in plant height was most responsive to GA3, followed by 6-BA, and then NAA. The ideal concentrations of plant growth regulators were established as 6-BA at 43 mg/L, GA3 at 169 mg/L, and NAA at 36 mg/L. Under these conditions, the lateral bud number per plant was 2.78, with a leaf area increment of 2.87 cm2 and a plant height increment of 2.67 cm. 展开更多
关键词 Cymbidium tortisepalum var.longibracteatum growth non-tube rapid propagation response surface methodology plant growth regulator
暂未订购 下载PDF
Optimization of the Crystallization Process for Ceftriaxone Sodium, a Third-Generation Cephalosporin, Utilizing Response Surface Methodology 认领 引用
12
作者 Yanxi LAI Furong ZHANG +4 位作者 Jingyue ZHU Hao LIU Yizhang WANG Jing LI Shengjiu GU 《Medicinal Plant》 2025年第2期14-18,共5页
[Objectives] To optimize the crystallization process of ceftriaxone sodium using response surface methodology (RSM) for enhancing both the crystallization rate and the quality of the final product. [Methods] Four key ... [Objectives] To optimize the crystallization process of ceftriaxone sodium using response surface methodology (RSM) for enhancing both the crystallization rate and the quality of the final product. [Methods] Four key factors, including crystallization temperature, stirring speed, solvent drop rate, and seed crystal content, were employed as independent variables, while the crystallization rate served as the response variable. The Box-Behnken response surface method was utilized for the optimization design. [Results] The optimal parameters for the crystallization process, determined through optimization, were as follows: a temperature of 10.6 ℃, a stirring rate of 150 rpm, a solvent drop rate of 1.50 mL/min, and a seed crystal content of 0.12 g. Validation tests conducted under these conditions yielded an average crystallization rate of 94.38% for the refined product. [Conclusions] The crystallization efficiency of ceftriaxone sodium is markedly enhanced, thereby offering substantial support for its industrial production and clinical application. 展开更多
关键词 Ceftriaxone sodium Response surface methodology(RSM) Crystallization process Process optimization
暂未订购 下载PDF
Response Surface Methodology and Deep Learning Modelling for the Removal of Pb2+ions from Wastewater Using Apple Pomace 认领 引用
13
作者 Great C.Chazuza Felicia O.Afolabi Paul Musonge 《Journal of Environmental & Earth Sciences》 CAS 2025年第10期1-22,共22页
Recent studies have demonstrated a growing global interest in utilising agricultural waste to remediate wastewater.This stems from growing apprehensions about high levels of heavy metals,especially Pb2+ions,in wast... Recent studies have demonstrated a growing global interest in utilising agricultural waste to remediate wastewater.This stems from growing apprehensions about high levels of heavy metals,especially Pb2+ions,in wastewater produced by industrial processes such as mining,paint production,oil refining,smelting,and electroplating.This study examined apple pomace’s Pb2+ions adsorption from wastewater.Response Surface Methodology(RSM)was employed,utilising the central composite face-centred design(CCFD)with three variables:initial concentration(1-50 mg/L),adsorbent dosage(0.1-1 g),and particle size(75-425μm)to formulate a mathematical model for the biosorption of Pb2+ions on apple pomace.An artificial neural network(ANN)was developed using data generated from the RSM design.The CCFD and ANN models showed considerable efficacy in the adsorption process,exhibiting correlation coefficient values of 0.9921 and 0.9999,respectively.The isotherm and kinetic studies were performed,and the Freundlich Isotherm model best fitted the equilibrium data,with a correlation coefficient of 0.972 and a qe of 5.145 mg/g.Additionally,the pseudo-second-order model proved to be the most appropriate for the kinetic data,with an R2of 0.9996.These results confirm that apple pomace functions as an effective,low-cost,and environmentally and sustainably biosorbent for the removal of Pb2+ions from wastewater.Both RSM and ANN models exhibited high predictive capability for the biosorption process.While ANN provides more flexibility in modelling complex non-linear relationships,it is prone to overfitting,particularly with limited datasets,and this was addressed through a 5-fold cross-validation technique. 展开更多
关键词 Wastewater Potable Water Biosorption Apple Pomace Response Surface Methodology Deep Learning Modelling ANN
暂未订购 下载PDF
Optimization of phenol degradation by Candida tropicalis Z-04 using Plackett-Burman design and response surface methodology 认领 引用 被引量：51
14
作者 Jiangya Zhou Xiaojuan Yu +4 位作者 Cong Ding Zhiping Wang Qianqian Zhou Hao Pao Weimin Cai 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2011年第1期22-30,共9页
Statistical experimental designs were used to optimize the process of phenol degradation by Candida tropicalis Z-04,isolated from phenol-degrading aerobic granules.The most important factors influencing phenol degrada... Statistical experimental designs were used to optimize the process of phenol degradation by Candida tropicalis Z-04,isolated from phenol-degrading aerobic granules.The most important factors influencing phenol degradation(p〈0.05),as identified by a two-level Plackett-Burman design with 11 variables,were yeast extract,phenol,inoculum size,and temperature.Steepest ascent method was undertaken to determine the optimal regions of these four significant factors.Central composite design(CCD)and response surface analysis were adopted to further investigate the mutual interactions between these variables and to identify their optimal values that would generate maximum phenol degradation.The analysis results indicated that interactions between yeast extract and temperature,phenol and temperature,inocuhim size and temperature affected the response variable(phenol degradation)significantly.The predicted results showed that the maximum removal efficiency of phenol(99.10%)could be obtained under the optimum conditions of yeast extract 0.41 g/L,phenol 1.03 g/L,inoculum size 1.43%(V/V)and temperature 30.04℃.These predicted values were further verified by validation experiments.The excellent correlation between predicted and experimental values confirmed the validity and practicability of this statistical optimum strategy.This study indicated the excellent ability of C.tropicalis Z-04 in degrading high-strength phenol.Optimal conditions obtained in this experiment laid a solid foundation for further use of this microorganism in the treatment of highstrength phenol effluents. 展开更多
关键词 phenol degradation Candida tropicalis Z-04 optimization Plackett-Burman design response surface methodology
暂未订购 下载PDF
Modeling and optimization of low-grade Mn bearing ore leaching using response surface methodology and central composite rotatable design 认领 引用 被引量：23
15
作者 Dariush AZIZI Sied Ziaedin SHAFAEI +1 位作者 Mohammad NOAPARAST Hadi ABDOLLAHI 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2012年第9期2295-2305,共11页
The application of leaching process to extracting Mn from a low-grade manganese ore was investigated using a software based design of experiments. Four main parameters, i.e. sulfuric acid concentration, oxalic acid co... The application of leaching process to extracting Mn from a low-grade manganese ore was investigated using a software based design of experiments. Four main parameters, i.e. sulfuric acid concentration, oxalic acid concentration, time and temperature were considered in a central composite response surface design. The recoveries of Mn and Fe were selected as response of design. The optimum conditions under which the Mn and Fe recoveries were the highest and the time and temperature were the lowest were determined using statistical analysis and analysis of variance （ANOVA）. The results showed that Mn and Fe recoveries were 93.44% and 15.72% under the optimum condition, respectively. Also, sulfuric acid concentration was the most effective parameter affecting the process. The amounts of sulfuric and oxalic acid were obtained to be 7% and 42.50 g/L in optimum condition and the best time and temperature were 65 min and 63 ℃. 展开更多
关键词 response surface methodology leaching manganese optimization modeling
暂未订购 下载PDF
Effects of AlN hydrolysis on fractal geometry characteristics of residue from secondary aluminium dross using response surface methodology 认领 引用 被引量：19
16
作者 Yong ZHANG Zhao-hui GUO +1 位作者 Zi-yu HAN Xi-yuan XIAO 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2018年第12期2574-2581,共8页
The effects of aluminium nitride(AlN)hydrolysis on fractal geometry characteristics of residue from secondary aluminium dross were studied using response surface methodology.The results show that the fractal dimension... The effects of aluminium nitride(AlN)hydrolysis on fractal geometry characteristics of residue from secondary aluminium dross were studied using response surface methodology.The results show that the fractal dimensions of the residue can be significantly influenced by the AlN hydrolysis from secondary aluminium dross.The hydrolysis of AlN in the dross was spontaneous under temperatures of303-373K.The actual fractal dimensions of residue were significantly affected by the liquid-solid ratio(p<0.05)and changed from1.16to1.80,which accurately aligned with those from the calculations.Moreover,the fractal dimensions of residue were significantly affected by the interactions between hydrolysis temperature and hydrolysis time,liquid-solid ratio and hydrolysis time,respectively(p<0.01).The minimum fractal dimensions of the residue reached1.15under the optimized conditions,which included a hydrolysis temperature of30℃,liquid-solid ratio of5mL/g and hydrolysis time of10min.The results suggest that response surface methodology can guide in optimizing the conditions of AlN hydrolysis in order to obtain the minimum fractal dimensions of residue for improving the reutilization of the dross. 展开更多
关键词 secondary aluminium dross AlN hydrolysis fractal dimensions optimization response surface methodology
暂未订购 下载PDF
Application of response surface methodology(RSM) for optimization of leaching parameters for ash reduction from low-grade coal 认领 引用 被引量：19
17
作者 Sushanta Kumar Behera Himanshu Meena +1 位作者 Sudipto Chakraborty B.C.Meikap 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2018年第4期617-625,共9页
Coal is the world＇s most abundant energy source because of its abundance and relatively low cost. Due to the scarcity in the supply of high-grade coal, it is necessary to use low-.grade coal for fulfilling energy dem... Coal is the world＇s most abundant energy source because of its abundance and relatively low cost. Due to the scarcity in the supply of high-grade coal, it is necessary to use low-.grade coal for fulfilling energy demands of modern civilization. However, due to ItS high ash and moisture content, low-grade coal exerts the substantial impact on their consumption like pyrolysis, liquefaction, gasification and combus- tion process. The present research aimed to develop the efficient technique for the production of clean coal by optimizing the operating parameters with the help of response surface methodology. The effect of three independent variables such as hydrofluoric acid （HF） concentration （10-20% by vo!ume ）,. temper- ature （60-100 ~C）, and time （90-180 min）, for ash reduction from the low-grade coal was Investigated.. A quadratic model was proposed to correlate the independent variables for maximum ash reduction at the optimum process condition by using central composite design （CC.D）method. The study reveals that HF concentration was the most effective parameter for ash reduction in comparison with time and temper- ature. It may be due to the higher F-statistics value for HF concentration, which effects to large extent of ash reduction. The characterization of coal was evaluated by Fourier transform infrared spectroscopy （FTIR） analysis and Field-emission scanning electron microscopy with energy-dispersive X-ray （FESEM- EDX） analysis for confirmation of the ash reduction. 展开更多
关键词 Low-grade coal Hydrofluoric acid （HF）Leaching Ash reduction Response surface methodology
暂未订购 下载PDF
Identification of processing window for extrusion of large thick-walled Inconel 625 alloy pipes using response surface methodology 认领 引用 被引量：10
18
作者 郭良刚 党利 +2 位作者 杨合 张君 郑文达 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2016年第7期1902-1911,共10页
Identifying suitable processing window is necessary but difficult for achieving favorable microstructure and performance in extrusion of large thick-walled pipe with difficult-to-deform Inconel 625 alloy. In this work... Identifying suitable processing window is necessary but difficult for achieving favorable microstructure and performance in extrusion of large thick-walled pipe with difficult-to-deform Inconel 625 alloy. In this work, a method was established for identifying the extrusion process window considering temperature control using response surface methodology. Firstly, the response surface models, which correlate temperature rise and peak temperature to key extrusion parameters, have been developed by orthogonal regression based on finite element calculated data. Secondly, the coupled effects of the key extrusion parameters on the temperature rise and peak temperature have been disclosed based on the regression models. Lastly, suitable extrusion processing windows, which are described by contour map of peak temperature in the space of extrusion speed and initial billet temperature, have been established for different extrusion ratios. Using the identified process window, a suitable combination of the key extrusion parameters can be determined conveniently and quickly. 展开更多
关键词 profile extrusion processing window response surface methodology difficult-to-deform materials finite element simulation
暂未订购 下载PDF
Optimization of succinic acid fermentation with Actinobacillus succinogenes by response surface methodology(RSM) 认领 引用 被引量：13
19
作者 Yun-jian ZHANG Qiang LI +2 位作者 Yu-xiu ZHANG Dan WANG Jian-min XING 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2012年第2期103-110,共8页
Succinic acid is considered as an important platform chemical. Succinic acid fermentation with Actinobacillus succinogenes strain BE-1 was optimized by central composite design （CCD） using a response surface methodo... Succinic acid is considered as an important platform chemical. Succinic acid fermentation with Actinobacillus succinogenes strain BE-1 was optimized by central composite design （CCD） using a response surface methodology （RSM）. The optimized production of succinic acid was predicted and the interactive effects between glucose, yeast extract, and magnesium carbonate were investigated. As a result, a model for predicting the concentration of succinic acid production was developed. The accuracy of the model was confirmed by the analysis of variance （ANOVA）, and the validity was further proved by verification experiments showing that percentage errors between actual and predicted values varied from 3.02% to 6.38%. In addition, it was observed that the interactive effect between yeast extract and magnesium carbonate was statistically significant. In conclusion, RSM is an effective and useful method for optimizing the medium components and investigating the interactive effects, and can provide valuable information for succinic acid scale-up fermentation using A. succinogenes strain BE-I. 展开更多
关键词 Succinic acid Response surface methodology （RSM） Optimization Actinobacillus succinogenes
暂未订购 下载PDF
Analysis of Metabolic Products by Response Surface Methodology for Production of Human-like Collagen II 认领 引用 被引量：11
20
作者 郭佳庆 骆艳娥 +3 位作者 范代娣 高鹏飞 马晓轩 朱晨辉 《Chinese Journal of Chemical Engineering》 SCIE EI CAS 2010年第5期830-836,共7页
Recombinant Escherichia coli BL21 is used to produce human-like collagen. The key constituents of media are optimized using response surface methodology (RSM). Before thermal induction, the highest biomass production ... Recombinant Escherichia coli BL21 is used to produce human-like collagen. The key constituents of media are optimized using response surface methodology (RSM). Before thermal induction, the highest biomass production and the lowest production of some hazardous by-products, especially acetic acid, were obtained in the media containing 0.085 mol·L-1 glucose and 0.019 mol·L-1 nitrogen (carbon-nitrogen ratio, 4.47:1). After thermal induction, when the concentrations of glucose and nitrogen in the media were 0.065 mol·L-1 and 0.017 mol·L-1 , respectively (carbon-nitrogen ratio, 3.82:1), the productivity of human-like collagen per cell was the highest while that of acetic acid was the lowest. The extended analysis showed that the production of lactic acid and propionic acid increased while that of some intermediate acids of the tricarboxylic acid cycle decreased if the dose of glucose increased. 展开更多
关键词 carbon-nitrogen ratio human-like collagen organic acid metabolism recombinant Escherichia coli response surface methodology
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 26 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈