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Multivariate Optimization of Volatile Compounds Extraction in Chardonnay Wine by Headspace-Solid Phase Micro Extraction and Gas Chromatography Coupled with Tandem Mass Spectrometry 认领 引用
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作者 Sabrina de Bona Sartor Marla Sganzerla +1 位作者 José Teixeira Filho Helena Teixeira Godoy 《American Journal of Analytical Chemistry》 CAS 2016年第10期712-723,共12页
A method for optimization of extraction of volatile compounds in Chardonnay wine was developed using headspace-solid phase microextraction (HS-SPME) and gas chromatography coupled with triple quadrupole tandem mass sp... A method for optimization of extraction of volatile compounds in Chardonnay wine was developed using headspace-solid phase microextraction (HS-SPME) and gas chromatography coupled with triple quadrupole tandem mass spectrometry (GC-MS/MS). Optimization of the HS-SPME conditions, temperature (T, °C) and extra-ction time (t, minutes), was carried out using a 22 factorial central composite rota- tional design (CCRD). Total area of chromatographic peaks of nineteen compounds was monitored in order to identify the best response and the data was collected on multiple reaction monitoring (MRM) mode. The mathematical model that describes the response surface for the CCRD was validated using the analysis of variance (ANO VA) with 95% of confidence level. This model showed a lack of fit based on mean square pure error ratios for each response, in which Fcalculated was 2.23 higher than Ftabulated. Even though the models cannot be rigorously used to make quantitative predictions, the coefficients of the model, especially the linear ones, are useful for understanding systematic behaviour of the response values as a function of the factor levels. Multivariate statistical design can be used in optimization of HS-SPME extraction parameters with reduced number of experiments and can be useful in sampling method of volatile compounds of Chardonnay wines analysis by CG-MS/MS. The optimal condition achieved in this method was 30°C and 45 minutes of extraction. 展开更多
关键词 Chardonnay GC-MS/MS HS-SPME Multivariate Optimization Volatile Compounds
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Multivariate optimization of optical properties of CdSe quantum dots obtained by a facile one-pot aqueous synthesis 认领 引用 被引量：1
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作者 Isabelle Moraes Amorim Viegas Beate Saegesser Santos +2 位作者 Adriana Fontes Giovannia Araujo de Lima Pereira Claudete Fernandes Pereira 《Inorganic Chemistry Frontiers》 SCIE EI 2019年第6期1350-1360,共11页
This work presents a multivariate optimization of a simple,fast and reproducible one-pot procedure for the aqueous synthesis of cadmium selenide(CdSe)quantum dots(QDs)stabilized with mercaptosuccinic acid(MSA),aiming ... This work presents a multivariate optimization of a simple,fast and reproducible one-pot procedure for the aqueous synthesis of cadmium selenide(CdSe)quantum dots(QDs)stabilized with mercaptosuccinic acid(MSA),aiming to improve their photoluminescence(PL)properties.A full factorial design and the Doehlert matrix were used to find optimal conditions for the MSA/Cd molar ratio(varied from 2:1 to 11:1),the Cd/Se molar ratio(varied from 1:1 to 8:1),the initial pH(varied from 3.0 to 12.0)and the synthesis temperature(varied from 15 to 90℃).Response surfaces obtained by statistically validated equations were used and the optimal conditions were MSA/Cd molar ratio of 6:1,Cd/Se molar ratio of 8:1,pH 5.0 and temperature of 30℃,under stirring for 60 min.The CdSe QDs obtained under these conditions presented an average diameter of 3.2 nm showing a cubic zinc blende structure and a relative quantum yield of up to 29.7%. 展开更多
关键词 doehlert matrix cadmium selenide quantum dots cadmium selenide cdse quantum dots qds stabilized synthesis temperat factorial design multivariate optimization mercaptosuccinic acid msa aiming optical properties
Grid-Based Path Planner Using Multivariant Optimization Algorithm 认领 引用
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作者 Baolei Li Danjv Lv +3 位作者 Xinling Shi Zhenzhou An Yufeng Zhang Jianhua Chen 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2015年第5期89-96,共8页
To solve the shortest path planning problems on grid-based map efficiently,a novel heuristic path planning approach based on an intelligent swarm optimization method called Multivariant Optimization Algorithm( MOA) an... To solve the shortest path planning problems on grid-based map efficiently,a novel heuristic path planning approach based on an intelligent swarm optimization method called Multivariant Optimization Algorithm( MOA) and a modified indirect encoding scheme are proposed. In MOA,the solution space is iteratively searched through global exploration and local exploitation by intelligent searching individuals,who are named as atoms. MOA is employed to locate the shortest path through iterations of global path planning and local path refinements in the proposed path planning approach. In each iteration,a group of global atoms are employed to perform the global path planning aiming at finding some candidate paths rapidly and then a group of local atoms are allotted to each candidate path for refinement. Further,the traditional indirect encoding scheme is modified to reduce the possibility of constructing an infeasible path from an array. Comparative experiments against two other frequently use intelligent optimization approaches: Genetic Algorithm( GA) and Particle Swarm Optimization( PSO) are conducted on benchmark test problems of varying complexity to evaluate the performance of MOA. The results demonstrate that MOA outperforms GA and PSO in terms of optimality indicated by the length of the located path. 展开更多
关键词 multivariant optimization algorithm shortest path planning heuristic search grid map optimality of algorithm
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Accuracy Enhancement of the Folin-Ciocalteu Method for Propolis 认领 引用
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作者 Rosilene S. N. Paganotti Paulo J. S. Barbeira 《American Journal of Analytical Chemistry》 CAS 2024年第8期253-267,共15页
This study presents an optimization of the Folin-Ciocalteu spectrophotometric method for the determination of total phenol content. Multivariate optimization using factorial planning 22 with a central point and centra... This study presents an optimization of the Folin-Ciocalteu spectrophotometric method for the determination of total phenol content. Multivariate optimization using factorial planning 22 with a central point and central composite planning was constructed to evaluate the influence of variables in the process and maximize radiation absorption with minimal radiation scattering caused by solid formation. X-ray fluorescence and X-ray diffraction spectrometry were used to evaluate the chemical composition of solids formed and nephelometric and spectrophotometric studies were also used to evaluate whether the type, origin, dilution and dry extract contents of commercial propolis extracts would significantly influence the increase in radiation scattering and absorption. The optimized methodology added several advantages, such as reduction of reagents, time analysis, and higher accuracy. 展开更多
关键词 Folin-Ciocalteu Multivariate Optimization Propolis Total Phenol
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