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Validation of an HPLC-CAD Method for Determination of Lipid Content in LNP-Encapsulated COVID-19 mRNA Vaccines.
Yu, Xiaojuan; Yu, Chuanfei; Wu, Xiaohong; Cui, Yu; Liu, Xiaoda; Jin, Yan; Li, Yuhua; Wang, Lan.
  • Yu X; Key Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, National Institutes for Food and Drug Control, Beijing 102629, China.
  • Yu C; Key Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, National Institutes for Food and Drug Control, Beijing 102629, China.
  • Wu X; Key Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, National Institutes for Food and Drug Control, Beijing 102629, China.
  • Cui Y; Thermo Fisher Scientific (China) Co., Ltd., Shanghai 201206, China.
  • Liu X; Thermo Fisher Scientific (China) Co., Ltd., Shanghai 201206, China.
  • Jin Y; Thermo Fisher Scientific (China) Co., Ltd., Shanghai 201206, China.
  • Li Y; Key Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, National Institutes for Food and Drug Control, Beijing 102629, China.
  • Wang L; Key Laboratory of the Ministry of Health for Research on Quality and Standardization of Biotech Products, National Institutes for Food and Drug Control, Beijing 102629, China.
Vaccines (Basel) ; 11(5)2023 May 04.
Article in English | MEDLINE | ID: covidwho-20245130
ABSTRACT
Lipid nanoparticles (LNPs) are widely used as delivery systems for mRNA vaccines. The stability and bilayer fluidity of LNPs are determined by the properties and contents of the various lipids used in the formulation system, and the delivery efficiency of LNPs largely depends on the lipid composition. For the quality control of such vaccines, here we developed and validated an HPLC-CAD method to identify and determine the contents of four lipids in an LNP-encapsulated COVID-19 mRNA vaccine to support lipid analysis for the development of new drugs and vaccines.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Year: 2023 Document Type: Article Affiliation country: Vaccines11050937

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Year: 2023 Document Type: Article Affiliation country: Vaccines11050937