Evidence map›Paper›PMID 38799234›Full record

ArticleJournal of pharmaceutical analysis2024

Discrimination of polysorbate 20 by high-performance liquid chromatography-charged aerosol detection and characterization for components by expanding compound database and library.

Shi-Qi Wang, Xun Zhao, Li-Jun Zhang, Yue-Mei Zhao, Lei Chen, Jin-Lin Zhang, Bao-Cheng Wang, Sheng Tang, Tom Yuan, Yaozuo Yuan and 3 more

Abstract read
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Article in Journal of pharmaceutical analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

13 authors.

Shi-Qi WangJiangsu Institute for Food and Drug Control, Nanjing, 210019, China.
Xun ZhaoJiangsu Institute for Food and Drug Control, Nanjing, 210019, China.
Li-Jun ZhangJiangsu Institute for Food and Drug Control, Nanjing, 210019, China.
Yue-Mei ZhaoJiangsu Institute for Food and Drug Control, Nanjing, 210019, China.
Lei ChenChinese Pharmacopoeia Commission, Beijing, 100061, China.
Jin-Lin ZhangJiangsu Institute for Food and Drug Control, Nanjing, 210019, China.
Bao-Cheng WangNanjing Well Pharmaceutical Group Co., Ltd., Nanjing, 210018, China.
Sheng TangSchool of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, China.
Tom YuanUniversity of Massachusetts Amherst, Amherst, 01003, USA.
Yaozuo YuanJiangsu Institute for Food and Drug Control, Nanjing, 210019, China.
Mei ZhangJiangsu Institute for Food and Drug Control, Nanjing, 210019, China.
Hian Kee LeeSchool of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, China.
Hai-Wei ShiJiangsu Institute for Food and Drug Control, Nanjing, 210019, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyzing polysorbate 20 (PS20) composition and the impact of each component on stability and safety is crucial due to formulation variations and individual tolerance. The similar structures and polarities of PS20 components make accurate separation, identification, and quantification challenging. In this work, a high-resolution quantitative method was developed using single-dimensional high-performance liquid chromatography (HPLC) with charged aerosol detection (CAD) to separate 18 key components with multiple esters. The separated components were characterized by ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) with an identical gradient as the HPLC-CAD analysis. The polysorbate compound database and library were expanded over 7-time compared to the commercial database. The method investigated differences in PS20 samples from various origins and grades for different dosage forms to evaluate the composition-process relationship. UHPLC-Q-TOF-MS identified 1329 to 1511 compounds in 4 batches of PS20 from different sources. The method observed the impact of 4 degradation conditions on peak components, identifying stable components and their tendencies to change. HPLC-CAD and UHPLC-Q-TOF-MS results provided insights into fingerprint differences, distinguishing quasi products.

Indexed as

ComponentDatabaseDegradationDiscriminationPolysorbate 20

Identifiers

PMID38799234
PMCPMC11126531

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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.