Evidence map›Paper›PMID 37615691›Full record

ArticleAnalytical and bioanalytical chemistry2024

In-house validation of an LC-MS method for the multiplexed quantitative determination of total allergenic food in chocolate.

Rosa Pilolli, Antonella Lamonaca, Chiara Nitride, Elisabetta De Angelis, Christof van Poucke, Nathalie Gillard, Anne-Catherine Huet, Marc De Loose, Jean Henrottin, E C N Mills and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 3 institutions in 3 countries.

Rosa PilolliInstitute of Sciences of Food Production, National Research Council of Italy (ISPA-CNR), Via Giovanni Amendola 122/O, 70126, Bari, Italy. rosa.pilolli@ispa.cnr.it.ORCID http://orcid.org/0000-0002-6789-1472
Antonella LamonacaInstitute of Sciences of Food Production, National Research Council of Italy (ISPA-CNR), Via Giovanni Amendola 122/O, 70126, Bari, Italy.
Chiara NitrideDepartment of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055, Portici, Italy.
Elisabetta De AngelisInstitute of Sciences of Food Production, National Research Council of Italy (ISPA-CNR), Via Giovanni Amendola 122/O, 70126, Bari, Italy.
Christof van PouckeFlanders Research Institute for Agriculture, Fisheries and Food, Brusselsesteenweg 370, 9090, Melle, Belgium.
Nathalie GillardCER Groupe, Rue du Point du Jour, 8, 6900, Marloie, Belgium.
Anne-Catherine HuetCER Groupe, Rue du Point du Jour, 8, 6900, Marloie, Belgium.
Marc De LooseFlanders Research Institute for Agriculture, Fisheries and Food, Brusselsesteenweg 370, 9090, Melle, Belgium.
Jean HenrottinCER Groupe, Rue du Point du Jour, 8, 6900, Marloie, Belgium.
E C N MillsSchool of Biological Sciences, Division of Infection, Immunity and Respiratory Medicine, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.
Linda MonaciInstitute of Sciences of Food Production, National Research Council of Italy (ISPA-CNR), Via Giovanni Amendola 122/O, 70126, Bari, Italy.
Institute of Sciences of Food Production · ITCentre d’Economie rurale · BEManchester Academic Health Science Centre · GB

Funding

European Food Safety Authority GP/EFSA/AFSCO/2017/03
6 · The paper itself

Abstract

Mass spectrometry has been widely accepted as a confirmatory tool for the sensitive detection of undeclared presence of allergenic ingredients. Multiple methods have been developed so far, achieving different levels of sensitivity and robustness, still lacking harmonization of the analytical validation and impairing comparability of results. In this investigation, a quantitative method has been validated in-house for the determination of six allergenic ingredients (cow's milk, hen's egg, peanut, soybean, hazelnut, and almond) in a chocolate-based matrix. The latter has been produced in a food pilot plant to provide a real and well-characterized matrix for proper assessment of method performance characteristics according to official guidelines. In particular, recent considerations issued by the European Committee for Standardization have been followed to guide a rigorous single-laboratory validation and to feature the main method performance, such as selectivity, linearity, and sensitivity. Synthetic surrogates of the peptide markers have been used both in native and labelled forms in matrix-matched calibration curves as external calibrants and internal standards, respectively. A two-order of magnitude range was investigated, focusing on the low concentration range for proper assessment of the detection and quantification limits (LOD and LOQ) by rigorous calibration approach. Conversion factors for all six allergenic ingredients have been determined for the first time to report the final quantitative information as fraction of total allergenic food protein (TAFP) per mass of food (µg

Indexed as

CacaoChocolateFood HypersensitivityAllergensAnimalsCattleChickensChromatography, LiquidEggsFemaleFood AnalysisLiquid Chromatography-Mass SpectrometryTandem Mass SpectrometryAllergensConversion factorsFood allergenIn-house validationMass spectrometryQuantitative methodUncertainty

Identifiers

PMID37615691
PMCPMC10766722
OpenAlexW4386116713

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.