Evidence map›Paper›PMID 38067622›Full record

ReviewMolecules (Basel, Switzerland)2023

The Application of Handheld Near-Infrared Spectroscopy and Raman Spectroscopic Imaging for the Identification and Quality Control of Food Products.

Hui Yan, Marina D G Neves, Barry M Wise, Ingrid A Moraes, Douglas F Barbin, Heinz W Siesler

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 4 countries.

Hui YanSchool of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212100, China.ORCID 0000-0003-3793-7799
Marina D G NevesDepartment of Physical Chemistry, University Duisburg-Essen, 45117 Essen, Germany.
Barry M WiseEigenvector Research Inc., Manson, WA 98831, USA.
Ingrid A MoraesDepartment of Food Engineering and Technology, School of Food Engineering, University of Campinas, Campinas 13083-862, Brazil.
Douglas F BarbinDepartment of Food Engineering and Technology, School of Food Engineering, University of Campinas, Campinas 13083-862, Brazil.ORCID 0000-0001-9767-8130
Heinz W SieslerDepartment of Physical Chemistry, University Duisburg-Essen, 45117 Essen, Germany.ORCID 0000-0002-6791-9965
Universidade Estadual de Campinas (UNICAMP) · BRUniversity of Duisburg-Essen · DEGenVec · USJiangsu University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The following investigations describe the potential of handheld NIR spectroscopy and Raman imaging measurements for the identification and authentication of food products. On the one hand, during the last decade, handheld NIR spectroscopy has made the greatest progress among vibrational spectroscopic methods in terms of miniaturization and price/performance ratio, and on the other hand, the Raman spectroscopic imaging method can achieve the best lateral resolution when examining the heterogeneous composition of samples. The utilization of both methods is further enhanced via the combination with chemometric evaluation methods with respect to the detection, identification, and discrimination of illegal counterfeiting of food products. To demonstrate the solution to practical problems with these two spectroscopic techniques, the results of our recent investigations obtained for various industrial processes and customer-relevant product examples have been discussed in this article. Specifically, the monitoring of food extraction processes (e.g., ethanol extraction of clove and water extraction of wolfberry) and the identification of food quality (e.g., differentiation of cocoa nibs and cocoa beans) via handheld NIR spectroscopy, and the detection and quantification of adulterations in powdered dairy products via Raman imaging were outlined in some detail. Although the present work only demonstrates exemplary product and process examples, the applications provide a balanced overview of materials with different physical properties and manufacturing processes in order to be able to derive modified applications for other products or production processes.

Indexed as

CacaoSpectroscopy, Near-InfraredFoodQuality ControlSpectrum Analysis, Ramanauthenticationclovecocoaextractionhandheld NIR spectroscopypowdered dairyRaman spectroscopic imagingwolfberry

Identifiers

PMID38067622
PMCPMC10708147
OpenAlexW4389223749

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.