Evidence map›Paper›PMID 37968815›Full record

ArticleSe pu = Chinese journal of chromatography2023

[Liquid chromatography-high resolution mass spectrometry analysis of 300 illegally added drugs and their analogues in functional milk powder for the elderly].

Xiao Ning, Shao-Ming Jin, Zhi-Yuan Li, Chong-Jun Yang, Da Mao, Jin Cao

Open access · bronzeAbstract readEnglish Abstract
In one paragraph

Article in Se pu = Chinese journal of chromatography, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
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 1 country.

Xiao NingNational Institutes for Food and Drug Control, Beijing 100050, China.
Shao-Ming JinNational Institutes for Food and Drug Control, Beijing 100050, China.
Zhi-Yuan LiSCIEX China, Beijing 100015, China.
Chong-Jun YangCriminal Science & Technology Institute of Jining Public Security Bureau, Jining 272000, China.
Da MaoDivision of Chemical Metrology and Analytical Science, National Institute of Metrology, Beijing 100029, China.
Jin CaoNational Institutes for Food and Drug Control, Beijing 100050, China.
National Institutes for Food and Drug Control · CNCNEX (China) · CNNational Institute of Metrology · CNShanghai Public Security Bureau · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various types of milk powder purportedly providing diverse health functions have emerged with the growth of the country's elderly population. Some manufacturers illegally add chemical drugs to their products to achieve their reported benefits, which poses a threat to consumer health. The existing standard methods are inapplicable to such complex sample matrices and require testing based on functional claims and classification. These limitations not only consume manpower and resources but also seriously impede daily regulatory efforts to detect unknown risk substances. In this study, a high-throughput method for the screening and quantitative analysis of 300 illegally added chemical drugs in functional milk powder and an identification strategy for unknown structural analogues were established using Zeno SWATH

Indexed as

MilkTandem Mass SpectrometryAgedAnimalsChromatography, High Pressure LiquidHumansPowdersSildenafil CitratePowdersSildenafil Citratefunctional milk powderhigh resolution mass spectrometry (HRMS)illegally addedquadrupole-time of flight-mass spectrometry (QTOF-MS)QuEChERSstructural analoguesultra-high performance liquid chromatography (UHPLC)

Identifiers

PMID37968815
PMCPMC10654882
OpenAlexW4388737380

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.