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Chemical Profiling and Multicomponent Quality Evaluation of Xueshan Jinluohan Pain-Relief Liniment by UPLC-Q-Exactive Orbitrap MS and HPLC Fingerprinting Integrated with Chemometrics

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Xueshan Jinluohan Pain-Relief Liniment (XJPL) is a Tibetan topical compound preparation composed of 11 medicinal materials. Its current quality standard relies mainly on thin-layer chromatographic identification, which is insufficient to comprehensively characterize its complex chemical composition, marker constituents from key medicinal materials, and batch-to-batch quality consistency. In this study, 17 batches of XJPL were analyzed by ultra-performance liquid chromatography coupled with quadrupole-Exactive Orbitrap high-resolution mass spectrometry (UPLC-Q-Exactive Orbitrap MS) for systematic chemical profiling. An integrated quality evaluation method was further developed by combining high-performance liquid chromatography (HPLC) fingerprinting, similarity evaluation, chemometric analysis, and multicomponent quantification. A total of 139 chemical constituents were confirmed by reference standards or putatively characterized, including alkaloids, flavonoids, phenolics, terpenoids, organic acids, lactones, and other compounds, indicating the coexistence of multiple medicinal-material-derived and structurally diverse constituents in XJPL. The HPLC fingerprint established for the 17 batches contained 23 common peaks, among which 10 representative constituents were assigned, and similarity evaluation indicated a high degree of overall chemical consistency among batches. Hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) further revealed batch-related differences and suggested that common peaks corresponding to gentiopicroside, loganic acid, and related constituents contributed substantially to sample differentiation. On this basis, quantitative methods were established for representative constituents covering phenolic acids, iridoid glycosides, carotenoid glycosides, and Corydalis-derived alkaloids. Overall, this study improves the quality evaluation framework for XJPL by integrating chemical profiling, holistic fingerprint assessment, batch-difference characterization, and multicomponent quantitative control, providing experimental support for quality standard improvement and manufacturing quality control.
Title: Chemical Profiling and Multicomponent Quality Evaluation of Xueshan Jinluohan Pain-Relief Liniment by UPLC-Q-Exactive Orbitrap MS and HPLC Fingerprinting Integrated with Chemometrics
Description:
Xueshan Jinluohan Pain-Relief Liniment (XJPL) is a Tibetan topical compound preparation composed of 11 medicinal materials.
Its current quality standard relies mainly on thin-layer chromatographic identification, which is insufficient to comprehensively characterize its complex chemical composition, marker constituents from key medicinal materials, and batch-to-batch quality consistency.
In this study, 17 batches of XJPL were analyzed by ultra-performance liquid chromatography coupled with quadrupole-Exactive Orbitrap high-resolution mass spectrometry (UPLC-Q-Exactive Orbitrap MS) for systematic chemical profiling.
An integrated quality evaluation method was further developed by combining high-performance liquid chromatography (HPLC) fingerprinting, similarity evaluation, chemometric analysis, and multicomponent quantification.
A total of 139 chemical constituents were confirmed by reference standards or putatively characterized, including alkaloids, flavonoids, phenolics, terpenoids, organic acids, lactones, and other compounds, indicating the coexistence of multiple medicinal-material-derived and structurally diverse constituents in XJPL.
The HPLC fingerprint established for the 17 batches contained 23 common peaks, among which 10 representative constituents were assigned, and similarity evaluation indicated a high degree of overall chemical consistency among batches.
Hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) further revealed batch-related differences and suggested that common peaks corresponding to gentiopicroside, loganic acid, and related constituents contributed substantially to sample differentiation.
On this basis, quantitative methods were established for representative constituents covering phenolic acids, iridoid glycosides, carotenoid glycosides, and Corydalis-derived alkaloids.
Overall, this study improves the quality evaluation framework for XJPL by integrating chemical profiling, holistic fingerprint assessment, batch-difference characterization, and multicomponent quantitative control, providing experimental support for quality standard improvement and manufacturing quality control.

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