| 张 阔,白 雪,刘佳宁,边龙义,万修福,温春秀,张 菊.基于气相色谱-离子迁移谱技术分析不同品种紫苏叶挥发性有机化合物的差异[J].食品安全质量检测学报,2025,16(17):120-129 |
| 基于气相色谱-离子迁移谱技术分析不同品种紫苏叶挥发性有机化合物的差异 |
| Analysis of volatile organic compounds in different Perilla frutescens leaf varieties based on gas chromatography-ion mobility spectrometry technology |
| 投稿时间:2025-05-16 修订日期:2025-08-03 |
| DOI: |
| 中文关键词: 气相色谱-离子迁移谱 紫苏叶 挥发性有机化合物 偏最小二乘判别分析 |
| 英文关键词:gas chromatography-ion mobility spectrometry Perilla frutescens leaf volatile organic compounds partial least squares discriminant analysis |
| 基金项目: |
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| Author | Institution |
| ZHANG Kuo | 1. College of Bioscience and Engineering, Hebei University of Economics and Business, 2. Institute of Economic Crops, Hebei Academy of Agriculture and Forestry Sciences |
| BAI Xue | 1. College of Bioscience and Engineering, Hebei University of Economics and Business |
| LIU Jia-Ning | 1. College of Bioscience and Engineering, Hebei University of Economics and Business |
| BIAN Long-Yi | 1. College of Bioscience and Engineering, Hebei University of Economics and Business |
| WAN Xiu-Fu | 3. State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences |
| WEN Chun-Xiu | 2. Institute of Economic Crops, Hebei Academy of Agriculture and Forestry Sciences, 3. State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences |
| ZHANG Ju | 1. College of Bioscience and Engineering, Hebei University of Economics and Business, 2. Institute of Economic Crops, Hebei Academy of Agriculture and Forestry Sciences |
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| 中文摘要: |
| 目的 对8个紫苏品种叶片的挥发性有机化合物进行组分鉴定与差异分析。方法 基于气相色谱-离子迁移谱技术(gas chromatography-ion mobility spectrometry, GC-IMS)通过构建挥发性有机化合物指纹图谱, 结合偏最小二乘判别分析筛选特征差异化合物。结果 共鉴定出85种挥发性有机化合物, 涵盖12类化合物: 其中醛类24种, 醇类16种, 酯类14种, 烯烃类10种, 酮类8种, 酸类5种, 醚类2种, 吡嗪类2种, 呋喃、有机硫化物、芳香烃、酚类各1种。以变量投影重要性大于1, 显著性概率小于0.01为筛选标准, 共筛选出25种特征差异化合物。结论 GC-IMS技术可实现紫苏叶挥发性有机物的高效检测与差异分析, 所建立的化合物特征谱库及特征差异化合物筛选方法, 为紫苏品种的品质评价及风味物质开发提供了理论依据。 |
| 英文摘要: |
| Objective To perform component identification and difference analysis of volatile organic compounds in 8 varieties of Perilla frutescens leaf. Methods Volatile organic compounds fingerprint spectra were created using gas chromatography-ion mobility spectrometry (GC-IMS). Differential compounds were screened via partial least squares discriminant analysis. Results A total of 85 VOCs were identified, covering 12 compound classes. Among them, there were 24 kinds of aldehydes, 16 kinds of alcohols, 14 kinds of esters, 10 kinds of alkenes, 8 kinds of ketones, 5 kinds of acids, 2 kinds of ethers, 2 kinds of pyrazines, 1 kinds of furan, 1 kinds of organosulfur compound, 1 kinds of aromatic hydrocarbon and 1 kinds of phenol. Using a variable projection importance greater than 1 and a significance probability less than 0.01 as the screening criteria, 25 kinds of characteristic differential compounds were identified. Conclusion GC-IMS technology enables efficient detection and difference analysis of VOCs in Perilla frutescens leaves. The established compound-specific spectra library and differential marker screening method provide a theoretical basis for perilla variety quality evaluation and flavor compound development. |
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