SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:umu-172550"
 

Search: onr:"swepub:oai:DiVA.org:umu-172550" > Experimental design...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Experimental designs for solid-phase microextraction method development in bioanalysis : A review

Marrubini, Giorgio (author)
Dugheri, Stefano (author)
Cappelli, Giovanni (author)
show more...
Arcangeli, Giulio (author)
Mucci, Nicola (author)
Appelblad, Patrik (author)
Umeå universitet,Institutionen för integrativ medicinsk biologi (IMB),Advanced Analytical, Merck Life Science AS, 0277, Oslo, Norway
Melzi, Camillo (author)
Speltini, Andrea (author)
show less...
 (creator_code:org_t)
Elsevier, 2020
2020
English.
In: Analytica Chimica Acta. - : Elsevier. - 0003-2670 .- 1873-4324. ; 1119, s. 77-100
  • Research review (peer-reviewed)
Abstract Subject headings
Close  
  • 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. 

Subject headings

NATURVETENSKAP  -- Kemi -- Analytisk kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences -- Analytical Chemistry (hsv//eng)

Keyword

Bioanalysis
Experimental design (design of experiments
DoE)
Method optimization
Quality by design
Sample treatment
SPME

Publication and Content Type

ref (subject category)
for (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view