Evidence map›Paper›PMID 41200972›Full record

ArticleSe pu = Chinese journal of chromatography2025

[Quantitation of cow's milk allergen in hypoallergenic infant formulas using ultra-high performance liquid chromatography- tandem mass spectrometry].

Dao-Kun Xu, Yang Yang, Hao-Lun Huang, Xiao-Jie Sun, Wen-Yan Hu, Xin-Mei Liu, Jun Yang

Abstract readEnglish Abstract
In one paragraph

Article in Se pu = Chinese journal of chromatography, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Dao-Kun XuNanjing Institute for Food and Drug Control,Nanjing 211198,China.
Yang YangThe Air Force Hospital from Eastern Theater Command,Nanjing 210001,China.
Hao-Lun HuangNanjing Institute for Food and Drug Control,Nanjing 211198,China.
Xiao-Jie SunNanjing Institute for Food and Drug Control,Nanjing 211198,China.
Wen-Yan HuNanjing Institute for Food and Drug Control,Nanjing 211198,China.
Xin-Mei LiuNanjing Institute for Food and Drug Control,Nanjing 211198,China.
Jun YangNanjing Institute for Food and Drug Control,Nanjing 211198,China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cow's milk protein allergy (CMPA) has become a common public health concern and hypoallergenic formula (partially or extensively hydrolyzed formula) is considered as an alternative during infancy. Alcalase and papain are widely used in industrial production of hydrolysates, as they can modify or destroy the linear and conformational epitopes of cow's milk allergens (CMAs), thus leading to decreased allergenicity. However, despite considerable emphasis has been laid on the manufacturing technique and nutritional value of hypoallergenic formulas, whether there are traces of CMAs in hypoallergenic formulas, remains unknown. Consequently, the need for a quantitative method of detecting multiple CMAs at a time is rising. Traditionally, enzyme-linked immunosorbent assay (ELISA)-based methods have proved to be advantageous with a wide availability of commercial kits for CMAs detection. Moreover, polymerase chain reaction (PCR), as one of DNA-based methods, has shown exceptional specificity and high sensitivity. However, they both may encounter false-positive results and high-throughput detection is challenging. In the past two decades, mass spectrometry (MS)-based proteomic technology has advanced, including improvements in computational capability, algorithm model, as well as mass spectrometric platforms. MS is gaining more and more attention in the field of food allergen detection, allowing multiplex allergen detection with high sensitivity, accuracy and selectivity in a single run. In this study, an analytical method was developed for the simultaneous quantitation of six CMAss (namely,

Indexed as

AllergensInfant FormulaMilk ProteinsTandem Mass SpectrometryAnimalsCattleChromatography, High Pressure LiquidHumansInfantMilk HypersensitivityAllergensMilk Proteinscow’s milk allergens (CMAs)hypoallergenic infant formulapeptides, label-free quantification (LFQ)ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS)

Identifiers

PMID41200972
PMCPMC12598552

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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.