Evidence map›Paper›PMID 42819143›Full record

ArticleACS omega2026

Simultaneous Detection of Multiple Adulterants in Cocoa Powder Using Fourier Transform Infrared Spectroscopy and Chemometrics.

Amy M Jackson, Sophie J Hodge, John R Bows, Geoff R Nash

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Amy M JacksonNatural Sciences, Faculty of Environment, Science and Economy, University of Exeter, Exeter EX4 4QF, U.K.ORCID https://orcid.org/0009-0008-6524-5865
Sophie J HodgeNatural Sciences, Faculty of Environment, Science and Economy, University of Exeter, Exeter EX4 4QF, U.K.
John R BowsPepsiCo R&D, Leicester LE4 1ET, U.K.
Geoff R NashNatural Sciences, Faculty of Environment, Science and Economy, University of Exeter, Exeter EX4 4QF, U.K.ORCID https://orcid.org/0000-0002-5321-4163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Economically motivated adulteration of cocoa powder poses significant risks to food safety, product quality, and consumer trust. Traditional detection methods, while accurate, are often time-consuming and resource intensive. This study presents a novel approach for the simultaneous detection and quantification of carob flour and cocoa shell adulterants in cocoa powder using Fourier transform infrared (FTIR) spectroscopy coupled with partial least-squares regression (PLSR) modeling. More than 600 spectra from 153 samples, including pure, single-adulterant, and mixed-adulterant cocoa powders, were analyzed. A three-stage model development strategy was employed, and the best model, using standard normal variate (SNV) transformation combined with Savitzky-Golay smoothing, achieved high predictive accuracy (CV-

Identifiers

PMID42819143
PMCPMC13625114

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.