All-in-one: A spectral imaging laboratory system for standardised automated image acquisition and real-time spectral model deployment.

Automation Chemometrics Deployment Post-harvest Spectroscopy

Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
15 Jan 2022
Historique:
received: 21 08 2021
revised: 26 10 2021
accepted: 01 11 2021
entrez: 3 12 2021
pubmed: 4 12 2021
medline: 15 12 2021
Statut: ppublish

Résumé

Spectral imaging (SI) in analytical chemistry is widely used for the assessment of spatially distributed physicochemical properties of samples. Although massive development in instrument and chemometrics modelling has taken place in the recent years, the main challenge with SI is that available sensors require extensive system integration and calibration modelling before their use for routine analysis. Further, the models developed during one experiment are rarely useful once the system is reintegrated for a new experiment. To avoid system reintegration and reuse calibrated models, this study presents an intelligent All-In-One SI (ASI) laboratory system allowing standardised automated data acquisition and real-time spectral model deployment. The ASI system supplies a controlled standardised illumination environment, an in-built computing system, embedded software for automated image acquisition, and model deployment to predict the spatial distribution of sample properties in real-time. To show the capability of the ASI framework, exemplary cases of fruit property prediction in different fruits are presented. Furthermore, ASI is also benchmarked in performance against the current commercially available portable as well as high-end laboratory spectrometers.

Identifiants

pubmed: 34857149
pii: S0003-2670(21)01061-8
doi: 10.1016/j.aca.2021.339235
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

339235

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Puneet Mishra (P)

Agro-Food Robotics, Wageningen University & Research, the Netherlands. Electronic address: puneet.mishra@wur.nl.

Menno Sytsma (M)

Agro-Food Robotics, Wageningen University & Research, the Netherlands.

Aneesh Chauhan (A)

Agro-Food Robotics, Wageningen University & Research, the Netherlands.

Gerrit Polder (G)

Agro-Food Robotics, Wageningen University & Research, the Netherlands.

Erik Pekkeriet (E)

Agro-Food Robotics, Wageningen University & Research, the Netherlands.

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Classifications MeSH