JOURNAL ARTICLE

A General Strategy to Rapid and Sensitive Determination of Five High Boiling Point Solvents in Pharmaceuticals by RP-HPLC Combined with Precipitation Method.

  • Published In: Journal of Chromatographic Science, 2025, v. 63, n. 4. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zhang, Chenxia; Wu, Zeyi; Qiu, Meiyan; Li, Yanhua; Wang, Zhongqing; Fan, Xiaomei; Cai, Shaoyu; Rao, Wanbing 3 of 3

Abstract

This article focuses on the development and validation of a fast, sensitive high-performance liquid chromatography (HPLC) method combined with a matrix precipitation sample preparation technique for the simultaneous determination of five high boiling point solvents (HBPS)—N-methylpyrrolidone (NMP), 1,3-dimethyl-2-imidazolidinone (DMI), dimethyl sulfoxide (DMSO), N,N-dimethylacetamide (DMA), and N,N-dimethylformamide (DMF)—in pharmaceutical active pharmaceutical ingredients (APIs). The method addresses challenges associated with traditional headspace gas chromatography (HSGC), such as low vapor pressure of HBPS and residual solvent interference, by minimizing matrix effects and improving sensitivity within a 14.5-minute analysis time. Validated according to ICH Q2 (R1) guidelines, the method demonstrated excellent linearity, precision, accuracy, and lower limits of detection compared to existing techniques, and was successfully applied to three representative APIs: apalutamide, baloxavir marboxil, and baricitinib. This strategy offers a practical alternative for quality control of HBPS in pharmaceutical development, overcoming limitations of prior GC and HPLC methods.

Additional Information

  • Source:Journal of Chromatographic Science. 2025/04, Vol. 63, Issue 4, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2025
  • ISSN:0021-9665
  • DOI:10.1093/chromsci/bmae057
  • Accession Number:185428170
  • Copyright Statement:Copyright of Journal of Chromatographic Science is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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