L773:0003 2670 OR L773:1873 4324
Sökning: L773:0003 2670 OR L773:1873 4324 > (2020-2024) > Experimental design...
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 03051naa a2200445 4500 | |
| 001 | oai:DiVA.org:umu-172550 | |
| 003 | SwePub | |
| 008 | 200629s2020 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1725502 URI |
| 024 | 7 | a https://doi.org/10.1016/j.aca.2020.04.0122 DOI |
| 040 | a (SwePub)umu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a for2 swepub-publicationtype |
| 100 | 1 | a Marrubini, Giorgio4 aut |
| 245 | 1 0 | a Experimental designs for solid-phase microextraction method development in bioanalysis :b A review |
| 264 | 1 | b Elsevier,c 2020 |
| 338 | a print2 rdacarrier | |
| 520 | a This review is an update of a previous review in 2009 and covers publications from 2009 to 2019. The review focuses on experimental design, referred to as the design of experiments (DoE), used in developing bioanalytical solid-phase microextraction (SPME) methods. Characteristics of different SPME approaches are illustrated and critically discussed. The literature selection evidences that two-level full factorial designs, with a limited number of factors (<5), are most frequently used for preliminary factors screening. When applying the response surface methodology for the quantitative assessment of factorial effects, few quadratic models were used. The most popular were the rotatable central composite and Box-Benkhen designs. Models including more than four factors, such as fractional factorial designs (including the Plackett-Burman and Taguchi designs), were rarely used. Definitive screening and D-Optimal designs were not reported anywhere in the literature selection. When examining the diagnostic criteria used to evaluate different model's quality and validity, it was apparent the researchers relied heavily on commercial software for experimental design, analysis, and reporting of the results. | |
| 650 | 7 | a NATURVETENSKAPx Kemix Analytisk kemi0 (SwePub)104012 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Chemical Sciencesx Analytical Chemistry0 (SwePub)104012 hsv//eng |
| 653 | a Bioanalysis | |
| 653 | a Experimental design (design of experiments | |
| 653 | a DoE) | |
| 653 | a Method optimization | |
| 653 | a Quality by design | |
| 653 | a Sample treatment | |
| 653 | a SPME | |
| 700 | 1 | a Dugheri, Stefano4 aut |
| 700 | 1 | a Cappelli, Giovanni4 aut |
| 700 | 1 | a Arcangeli, Giulio4 aut |
| 700 | 1 | a Mucci, Nicola4 aut |
| 700 | 1 | a Appelblad, Patriku Umeå universitet,Institutionen för integrativ medicinsk biologi (IMB),Advanced Analytical, Merck Life Science AS, 0277, Oslo, Norway4 aut0 (Swepub:umu)paap0001 |
| 700 | 1 | a Melzi, Camillo4 aut |
| 700 | 1 | a Speltini, Andrea4 aut |
| 710 | 2 | a Umeå universitetb Institutionen för integrativ medicinsk biologi (IMB)4 org |
| 773 | 0 | t Analytica Chimica Actad : Elsevierg 1119, s. 77-100q 1119<77-100x 0003-2670x 1873-4324 |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172550 |
| 856 | 4 8 | u https://doi.org/10.1016/j.aca.2020.04.012 |
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