User menu

Accès à distance ? S'identifier sur le proxy UCLouvain

The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the ‘Chimiométrie 2019’ congress

Primary tabs

download
  • Open access
  • PDF
  • 553.45 K
Fernández Pierna, J.A. [Walloon Agricultural Research Centre] Laborde, A. [Université Paris-Saclay] Lakhal, L. [Institut Polytechnique UniSalle] Lesnoff, M. [CIRAD ] Martin, Manon [UCL] Dardenne, P. [NIRS & Chemometrics Consultant]

A chemometric challenge was posed at the annual ‘Chimiométrie’ congress organized by the French Chemometrics Society in February 2019. The congress was held in Montpellier and the data relating to the challenge are available on the congress website (https://chemom2019.sciencesconf.org/). The aim of the challenge was to test the ability of congress participants for the characterization of animal feed by NIR when the reference values do not follow a normal distribution for three different ingredients. This paper summarizes the five best approaches put forward by participants.

Document type Article de périodique (Journal article) – Synthèse de littérature
Access type Accès libre
Publication date 2020
Language Anglais
Journal information "Chemometrics and Intelligent Laboratory Systems" - Vol. 202 (2020)
Peer reviewed yes
Publisher Elsevier BV
issn 0169-7439
Publication status Publié
Affiliation UCL - SSH/LIDAM - Louvain Institute of Data Analysis and Modeling in economics and statistics
Keywords Spectroscopy ; Process Chemistry and Technology ; Computer Science Applications ; Software ; Analytical Chemistry
Links
Bibliographic reference Fernández Pierna, J.A. ; Laborde, A. ; Lakhal, L. ; Lesnoff, M. ; Martin, Manon ; et. al. The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the ‘Chimiométrie 2019’ congress. In: Chemometrics and Intelligent Laboratory Systems, Vol. 202 (2020)
Permanent URL http://hdl.handle.net/2078.1/252228