魏泉增,王 莹,郭嘉琦,王步云,张成丽.气相色谱质谱法分析大叶和小叶迷迭香香气成分[J].食品安全质量检测学报,2022,13(22):7323-7330
气相色谱质谱法分析大叶和小叶迷迭香香气成分
Analysis of aroma compounds in large leaf and small leaf Rosmarinus officinalis by gas chromatography-mass spectrometry
投稿时间:2022-08-29  修订日期:2022-11-08
DOI:
中文关键词:  迷迭香  均匀试验设计  偏最小二乘判别式法  顶空固相微萃取  气相色谱质谱法
英文关键词:Rosmarinus officinalis  uniform experiment  partial least squares-discriminate analysis  headspace solid-phase microextraction  gas chromatography-mass spectrometry
基金项目:河南省高校重点科研项目(23A550016)、国家级大学生创新训练计划项目(202210480004)
作者单位
魏泉增 许昌学院河南省食品安全生物标识快检技术重点实验室 
王 莹 许昌学院河南省食品安全生物标识快检技术重点实验室 
郭嘉琦 许昌学院河南省食品安全生物标识快检技术重点实验室 
王步云 许昌学院河南省食品安全生物标识快检技术重点实验室 
张成丽 许昌学院河南省食品安全生物标识快检技术重点实验室 
AuthorInstitution
WEI Quan-Zeng Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety on Henan Province, Xuchang University 
WANG Ying Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety on Henan Province, Xuchang University 
GUO Jia-Qi Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety on Henan Province, Xuchang University 
WANG Bu-Yun Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety on Henan Province, Xuchang University 
ZHANG Cheng-Li Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety on Henan Province, Xuchang University 
摘要点击次数: 294
全文下载次数: 157
中文摘要:
      目的 分析大叶和小叶迷迭香的香气成分差异。方法 应用混合水平均匀试验优化顶空固相微萃取(headspace solid-phase microextraction, HS-SPME)条件, 采用二次多项式逐步回归分析, 确定最优固相微萃取条件。气相色谱质谱法(gas chromatography-mass spectrometry, GC-MS)分析大叶迷迭香和小叶迷迭香香气成分, 采用偏最小二乘判别式法(partial least squares-discriminate analysis, PLS-DA)分析不同迷迭香的香气成分。结果 HS-SPME最佳条件为饱和度10.0%的氯化钠溶液、平衡时间为13.0 min、萃取时间为42.0 min、装液量为3.2 mL、萃取温度为80.0℃。通过GC-MS分析共检测到123种挥发性物质, 其中11种酯类、22种烯类、8种烷类、3种酸类、20种醛酮类、39种醇类、2种醚类、5种酚类、9种芳香烃、4种其他物质。大叶迷迭香中检测出91种物质, 小叶迷迭香中检测出86种物质。基于迷迭香香气成分的相对含量建立PLS-DA模型, 可区分大叶和小叶迷迭香。结论 本研究成功建立了鉴别大叶和小叶迷迭香的方法, 分析了大叶和小叶迷迭香的香气成分差异, 为迷迭香品质评价提供一定的理论依据。
英文摘要:
      Objective To analyze the difference of aroma components between large leaf and small leaf Rosmarinus officinalis, and establish a method for discriminating them. Methods The headspace solid-phase microextraction (HS-SPME) conditions were optimized by mixed level uniform experiment. The optimal conditions of HS-SPME were determined by quadratic polynomial stepwise regression analysis. The aroma compounds of large leaf and small leaf Rosmarinus officinalis were analyzed by gas chromatography-mass spectrometry (GC-MS). The aroma components of different Rosmarinus officinalis were analyzed by partial least squares-discriminate analysis (PLS-DA). Results The optimum conditions of HS-SPME were sodium chloride solution with 10.0% saturation, equilibration time of 13.0 min, extraction time of 42.0 min, liquid loading of 3.2 mL and extraction temperature of 80.0℃. One hundred and twenty-three kinds of volatile compounds were detected by GC-MS, including 11 kinds of esters, 22 kinds of alkenes, 8 kinds of alkanes, 3 kinds of acids, 20 kinds of aldehydes and ketones, 39 kinds of alcohols, 2 kinds of ethers, 5 kinds of phenols, 9 kinds of aromatic hydrocarbons and 4 kinds of other substances. Ninety-one kinds of substances were detected in large leaf Rosmarinus officinalis and 86 kinds of substances were detected in small leaf Rosmarinus officinalis. PLS-DA model was established based on the relative content of Rosmarinus officinalis aroma components, which could distinguish large leaf and small leaf Rosmarinus officinalis. Conclusion The identification method of large leaf and small leaf Rosmarinus officinalis is successfully established, and the difference of aroma components between large leaf and small leaf Rosmarinus officinalis is analyzed, which provids a certain theoretical basis for the quality evaluation of Rosmarinus officinalis.
查看全文  查看/发表评论  下载PDF阅读器