Pre-processing Applied to Instrumental Data in Analytical Chemistry: A Brief Review of the Methods and Examples.

Derivatives instrumentation normalization smoothing

Journal

Critical reviews in analytical chemistry
ISSN: 1547-6510
Titre abrégé: Crit Rev Anal Chem
Pays: United States
ID NLM: 9004784

Informations de publication

Date de publication:
13 Apr 2023
Historique:
entrez: 13 4 2023
pubmed: 14 4 2023
medline: 14 4 2023
Statut: aheadofprint

Résumé

The field of analytical chemistry has been significantly advanced by the availability of state-of-the-art instrumentation, allowing for the development of novel applications in this field. However, in many cases, the direct interpretation of the recorded data is often not straightforward, hence some level of pre-processing is required (e.g., baseline correction, derivatives, normalization, smoothing). These techniques have become a critical first step for the successful analysis of the data recorded, and it is recommended to use them before the application of chemometrics (e.g., classification, calibration development). The aim of this paper is to provide with an overview of the most used pre-processing methods applied to instrumental analytical methods (e.g., spectroscopy, chromatography). Examples of their application in near infrared and UV-VIS spectroscopy as well as in gas chromatography will be also discussed. Overall, this paper provides with a comprehensive understanding of pre-processing techniques in analytical chemistry, highlighting their importance during the analysis and interpretation of data, as well as during the development of accurate and reliable chemometric models.

Identifiants

pubmed: 37053040
doi: 10.1080/10408347.2023.2199864
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-9

Auteurs

B Dayananda (B)

School of Agriculture and Food Sciences, The University of Queensland, Brisbane, Queensland, Australia.

S Owen (S)

School of Science, RMIT University, Melbourne, Victoria, Australia.

A Kolobaric (A)

School of Science, RMIT University, Melbourne, Victoria, Australia.

J Chapman (J)

School of Science, RMIT University, Melbourne, Victoria, Australia.

D Cozzolino (D)

Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, Queensland, Australia.

Classifications MeSH