Efficient Extraction, Chemical Characterization, and Bioactivity of Essential Oil From Pine Needles.

IF 3 3区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

Phytochemical Analysis Pub Date : 2025-03-13 DOI:10.1002/pca.3529

Zhengyun Liang, Jiamin Yan, Sidan Zhao, Lingxiao He, Xinxu Zhao, Lingchao Cai, Chaoqun You, Fei Wang

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引用次数: 0

Abstract

Introduction: Pine needles are a rich source of bioactive compounds, and there are few reports on the extraction and identification of active substances in various types of pine needles.

Objectives: The objective of this study is to enhance the efficiency and yield of pine needle essential oil extraction by employing an innovative ultrasonic-assisted salt-out hydrodistillation technology. It also aims to establish a correlation between gas chromatography-mass spectrometry (GC-MS) and electronic nose (E-nose) to distinguish essential oils from Cedrus deodara, Pinus thunbergii, Pinus massoniana, and Pinus koraiensis.

Methods: Optimal extraction conditions will be determined through dynamic curve fitting and response surface analysis. Essential oils will be analyzed by E-nose and GC-MS coupled with chemometrics. Radical-scavenging effects on ·OH, DPPH·, ABTS⁺ radicals, and antibacterial activity against Escherichia coli and Staphylococcus aureus will be evaluated.

Results: Optimal extraction conditions were 100 min of distillation, 7.762% sodium chloride, 9.596-mL/g liquid material ratio, and 170.155-W ultrasonic power. Essential oil yields were 0.144%, 0.214%, 0.425%, and 0.852% for C. deodara, P. thunbergii, P. massoniana, and P. koraiensis, respectively. GC-MS identified 74 volatile components. PLS-DA revealed nine key compounds, including α-Myrcene, α-Pinene, α-Phellandrene, Limonene, Caryophyllene, Bornyl acetate, β-Pinene, Germacrene D, and Camphene. PCA of E-nose and GC-MS data highlighted sample differences. All essential oils exhibited antioxidant and antibacterial activities, linked to α-pinene, β-Pinene, and Germacrene D.

Conclusion: This study introduces efficient methods for efficient extraction and characterization of pine needle essential oils, providing a foundation for bioactive applications and enhancing product quality and global innovation in the industry.

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松针精油的高效提取、化学性质及生物活性研究。

简介：松针是一种丰富的生物活性化合物来源，目前关于各种类型松针中活性物质的提取和鉴定的报道很少。目的：采用创新的超声辅助盐析加氢蒸馏工艺，提高松针精油的提取效率和得率。建立气相色谱-质谱联用技术与电子鼻技术的相关性，以鉴别雪松、松、马尾松和红松的精油。方法：通过动态曲线拟合和响应面分析确定最佳提取条件。精油将采用电子鼻和气相色谱-质谱联用化学计量学进行分析。对·OH、DPPH·、ABTS+自由基的清除作用以及对大肠杆菌和金黄色葡萄球菌的抗菌活性进行评估。结果：最佳提取工艺为：精馏时间100 min，氯化钠浓度为7.762%，液料比为9.596 ml /g，超声功率为170.155 w。其精油得率分别为0.144%、0.214%、0.425%和0.852%。GC-MS鉴定出74种挥发性成分。PLS-DA鉴定出9个关键化合物，分别为α-月桂烯、α-蒎烯、α-茶树烯、柠檬烯、石竹烯、醋酸龙骨酯、β-蒎烯、Germacrene D和Camphene。电子鼻和气相色谱-质谱数据的主成分分析突出了样本差异。所有精油均具有抗氧化和抗菌活性，与α-蒎烯、β-蒎烯和Germacrene d有关。结论：本研究为松针精油的高效提取和表征提供了有效的方法，为松针精油的生物活性应用、提高产品质量和全球行业创新提供了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Phytochemical Analysis 生物-分析化学

CiteScore

6.00

自引率

6.10%

发文量

审稿时长

1.7 months

期刊介绍： Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.