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Optimization and Sensory Evaluation of the Volatile Oil Extracts from Peucedanum praeruptorum Using Response Surface Methodology and HS-SPME-GC/MS Detection

Yuxian Liu1,2, Jinzhuo Yao1,2, Bangxing Han1,2,*, Cheng Song1,3,*

1 School of Pharmacy, Anhui University of Chinese Medicine, Hefei, China
2 Anhui Dabieshan Academy of Traditional Chinese Medicine, Anhui Engineering Research Center for Eco-Agriculture of Traditional Chinese Medicine, West Anhui University, Lu’an, China
3 College of Life and Health, West Anhui University, Lu’an, China

* Corresponding Authors: Bangxing Han. Email: email; Cheng Song. Email: email

(This article belongs to the Special Issue: Plant Hormone Signaling and Environmental Cue Integration: Mechanisms and Regulatory Networks)

Phyton-International Journal of Experimental Botany 2026, 95(5), 9 https://doi.org/10.32604/phyton.2026.082999

Abstract

Essential oil is one of the main active ingredients in the medicinal herb Peucedanum praeruptorum. However, limited studies have been conducted on the quality evaluation of this essential oil. Here, we performed an optimization and evaluation of P. praeruptorum volatile oil extraction using response surface methodology. Partial least squares discriminant analysis (PLS-DA) was employed to screen relevant biomarkers. A sensory evaluation of the volatile oil components of P. praeruptorum was conducted across different time periods, and aroma differences were examined. The optimal extraction process involved an extraction time of 4 h, a soaking time of 2 h, a liquid-to-solid ratio of 12 mL/g and an extraction temperature of 132°C. HS-SPME-GC/MS analysis of the volatile oil composition from different origins, periods and plant parts identified various chemical components, including terpenes, aldehydes, hydrocarbons and ketones. The main components identified were composed of α-pinene, (-)-β-pinene, 3-carene, β-myrcene, D-limonene, β-phellandrene, and other terpenes. The principal component analysis (PCA) revealed clear differences from different origins and time periods. The PLS-DA identified 39 key differential components in the aboveground parts and 20 in the underground parts with variable importance in projection (VIP) values > 1. The sensory evaluation analysis described the aroma of P. praeruptorum volatile oil as grassy, woody, spicy, earthy and reminiscent of pine resin, with the most prominent note being spicy. This was highly correlated with β-pinene, which accounted for the highest proportion. The prominent spicy note was found to be derived from three components: (–)-β-pinene, β-phellandrene, and o-cymene. Our study provides a scientific basis for the evaluation, development and application of volatile oil from P. praeruptorum.

Keywords

Volatile oil; terpenes; GC-MS; response surface method; sensory evaluation

Supplementary Material

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Cite This Article

APA Style
Liu, Y., Yao, J., Han, B., Song, C. (2026). Optimization and Sensory Evaluation of the Volatile Oil Extracts from Peucedanum praeruptorum Using Response Surface Methodology and HS-SPME-GC/MS Detection. Phyton-International Journal of Experimental Botany, 95(5), 9. https://doi.org/10.32604/phyton.2026.082999
Vancouver Style
Liu Y, Yao J, Han B, Song C. Optimization and Sensory Evaluation of the Volatile Oil Extracts from Peucedanum praeruptorum Using Response Surface Methodology and HS-SPME-GC/MS Detection. Phyton-Int J Exp Bot. 2026;95(5):9. https://doi.org/10.32604/phyton.2026.082999
IEEE Style
Y. Liu, J. Yao, B. Han, and C. Song, “Optimization and Sensory Evaluation of the Volatile Oil Extracts from Peucedanum praeruptorum Using Response Surface Methodology and HS-SPME-GC/MS Detection,” Phyton-Int. J. Exp. Bot., vol. 95, no. 5, pp. 9, 2026. https://doi.org/10.32604/phyton.2026.082999



cc Copyright © 2026 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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