Evidence map›Paper›PMID 38257324›Full record

ReviewMolecules (Basel, Switzerland)2024

Decoding Cosmetic Complexities: A Comprehensive Guide to Matrix Composition and Pretreatment Technology.

Xiao-Nan Du, Yu He, You-Wen Chen, Qian Liu, Lei Sun, Hui-Min Sun, Xian-Fu Wu, Yong Lu

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Xiao-Nan DuNational Institutes for Food and Drug Control, Beijing 102629, China.ORCID 0000-0002-8651-2618
Yu HeNational Institutes for Food and Drug Control, Beijing 102629, China.
You-Wen ChenNational Institutes for Food and Drug Control, Beijing 102629, China.
Qian LiuNational Institutes for Food and Drug Control, Beijing 102629, China.
Lei SunNational Institutes for Food and Drug Control, Beijing 102629, China.
Hui-Min SunNational Institutes for Food and Drug Control, Beijing 102629, China.
Xian-Fu WuNational Institutes for Food and Drug Control, Beijing 102629, China.ORCID 0000-0001-7675-0543
Yong LuNational Institutes for Food and Drug Control, Beijing 102629, China.

Funding

NIFDC Fund for Key Technology Research GJJS-2022-5-1
6 · The paper itself

Abstract

Despite advancements in analytical technologies, the complex nature of cosmetic matrices, coupled with the presence of diverse and trace unauthorized additives, hinders the application of these technologies in cosmetics analysis. This not only impedes effective regulation of cosmetics but also leads to the continual infiltration of illegal products into the market, posing serious health risks to consumers. The establishment of cosmetic regulations is often based on extensive scientific experiments, resulting in a certain degree of latency. Therefore, timely advancement in laboratory research is crucial to ensure the timely update and adaptability of regulations. A comprehensive understanding of the composition of cosmetic matrices and their pretreatment technologies is vital for enhancing the efficiency and accuracy of cosmetic detection. Drawing upon the China National Medical Products Administration's 2021 Cosmetic Classification Rules and Classification Catalogue, we streamline the wide array of cosmetics into four principal categories based on the following compositions: emulsified, liquid, powdered, and wax-based cosmetics. In this review, the characteristics, compositional elements, and physicochemical properties inherent to each category, as well as an extensive overview of the evolution of pretreatment methods for different categories, will be explored. Our objective is to provide a clear and comprehensive guide, equipping researchers with profound insights into the core compositions and pretreatment methods of cosmetics, which will in turn advance cosmetic analysis and improve detection and regulatory approaches in the industry.

Indexed as

CosmeticsChinaIndustryPowdersTechnologyCosmeticsPowderscompositionscosmeticsdetectionpersonal care productspretreatmentregulation

Identifiers

PMID38257324
PMCPMC10818968

What OpenQuestion holds

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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.