کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7640217 | 1494854 | 2018 | 26 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multivariate optimization techniques in analytical chemistry - an overview
ترجمه فارسی عنوان
تکنیک های بهینه سازی چند متغیره در شیمی تجزیه و تحلیل - یک مرور کلی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
This review presents fundamentals and a critical evaluation of the multivariate optimization techniques employed by the analytical chemistry. Characteristics of the surface response methodologies (SRM) are shown and compared. Additionally, a bibliographic survey was performed in the web of science database using as keywords names of the chemometric tools utilized for experimental designs. Papers classified in the analytical chemistry area demonstrated that the two-level full factorial design had often been used for preliminary assessment of factors. For determination of critical conditions using quadratic models, the central composite design (CCD) is the technique most utilized by the analytical chemists. Remarks about standardized effects and the Pareto chart, description of the several multiple response functions employed in experimental designs, efficiencies of the SRM's and robustness tests are also discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microchemical Journal - Volume 140, July 2018, Pages 176-182
Journal: Microchemical Journal - Volume 140, July 2018, Pages 176-182
نویسندگان
Sergio L.C. Ferreira, Valfredo A. Lemos, Vanessa S. de Carvalho, Erik G.P. da Silva, Antonio F.S. Queiroz, Caio S.A. Felix, Daniel L.F. da Silva, Gilson B. Dourado, Rafael V. Oliveira,