Optimizing the extraction of ursolic acid from loquat leaf using <sup>1</sup> H-qNMR

Ursolic acid (UA) has a wide range of biological activities and is extracted primarily from natural products. However, conventional quantification methods require derivatization or chromatographic separation, which are tedious and time-consuming. In this study, a rapid and accurate quantitative proton nuclear magnetic resonance (<sup>1</sup>H-qNMR) method was established for the direct quantification of UA in loquat leaf extracts. By optimizing the NMR acquisition parameters, <sup>1</sup>H-qNMR achieved a single-sample runtime of 5 min with high accuracy and precision. This method was also applied to optimize UA extraction from loquat leaves, systematically evaluating the effects of temperature, extraction solvent, solid-to-liquid ratio, and extraction time on the purity and yield of UA crude extract. Results indicated that the optimal conditions involved the low-temperature extraction of loquat leaves (sample concentration: 0.03 g mL<sup>-1</sup>) with ethanol at 0 °C for 48 h, which afforded an average UA crude purity of 33.68% and an extraction yield of 0.84%, outperforming Soxhlet extraction. This study confirms that <sup>1</sup>H-qNMR enables rapid quality control of UA in loquat and provides a simple, reliable analytical strategy for optimizing extraction processes of bioactive compounds in other complex botanicals.

Authors

Institutions

Publication Details

Journal
Analytical Methods
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ay01340b
Primary Topic
Natural product bioactivities and synthesis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing the extraction of ursolic acid from loquat leaf using 1 H-qNMR

An-Ya Yang, Kai Shi, Jiu-Hua Song, Mengting Wang et al.
Analytical Methods
Natural product bioactivities and synthesis
article

Optimizing the extraction of ursolic acid from loquat leaf using 1 H-qNMR

An-Ya Yang, Kai Shi, Jiu-Hua Song, Mengting Wang, Bin Zhu, Xiang Wang, Yuxing Zhang, Wen‐Ya Lu
article en

Abstract

Ursolic acid (UA) has a wide range of biological activities and is extracted primarily from natural products. However, conventional quantification methods require derivatization or chromatographic separation, which are tedious and time-consuming. In this study, a rapid and accurate quantitative proton nuclear magnetic resonance (<sup>1</sup>H-qNMR) method was established for the direct quantification of UA in loquat leaf extracts. By optimizing the NMR acquisition parameters, <sup>1</sup>H-qNMR achieved a single-sample runtime of 5 min with high accuracy and precision. This method was also applied to optimize UA extraction from loquat leaves, systematically evaluating the effects of temperature, extraction solvent, solid-to-liquid ratio, and extraction time on the purity and yield of UA crude extract. Results indicated that the optimal conditions involved the low-temperature extraction of loquat leaves (sample concentration: 0.03 g mL<sup>-1</sup>) with ethanol at 0 °C for 48 h, which afforded an average UA crude purity of 33.68% and an extraction yield of 0.84%, outperforming Soxhlet extraction. This study confirms that <sup>1</sup>H-qNMR enables rapid quality control of UA in loquat and provides a simple, reliable analytical strategy for optimizing extraction processes of bioactive compounds in other complex botanicals.

Analytical MethodsVol. 17(39)
Leshan Normal University (CN)
Openalex Percentile: Top 76%
Natural product bioactivities and synthesis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.