轻工学报2025，Vol.40Issue(4)：1-9,9.DOI:10.12187/2025.04.001
基于GC-MS结合多元统计的2种工艺提取脐橙挥发性成分差异分析
Analysis of the differences in volatile components of navel oranges extracted by two processes based on GC-MS combined with multivariate statistics
摘要
Abstract
Volatile components of navel oranges were extracted using spinning cone column(SCC)and steam distillation(SD)methods.Qualitative and quantitative analyses were conducted via gas chromatography-mass spectrometry(GC-MS).Sensory evaluation combined with multivariate statistical analysis was employed to identify and characterize the key differential volatile components from the two processes.Results showed that the extraction rate of volatile components using SCC was significantly higher than that using SD.Volatile components extracted via SCC exhibited stronger fruity,sweet,floral,and green notes,while those from SD showed stronger fatty and woody notes.Notable differences were observed in the types and contents of volatile components extracted by the two methods,with a total of 110 components identified(97 via SCC and 68 via SD).Based on P<0.05 and variable importance in projection(VIP)>1 criteria,33 differential volatile components were identified.Among these,myrcene,palmitoleic acid,(E)-β-ocimene,and ethyl palmitate were positively correlated with woody and fatty notes,whereas(Z)-nerolidol,α-terpineol,D-limonene,and valencene were positively correlated with fruity,floral,and sweet notes.This indicated that the SCC could efficiently extract these components,thereby preserving the fresh and natural aroma of navel oranges.关键词
脐橙/挥发性成分/旋转锥体柱/水蒸气蒸馏/多元统计分析Key words
navel orange/volatile component/spinning cone column/steam distillation/multivariate statistical analysis分类
轻工纺织引用本文复制引用
杨鹏飞,吴薇,孙海峰,刘龑章,尚紫博,薛晶晶,许志杰,宋梦坤..基于GC-MS结合多元统计的2种工艺提取脐橙挥发性成分差异分析[J].轻工学报,2025,40(4):1-9,9.基金项目
国家自然科学基金青年基金资助项目(81903507) （81903507）
中国烟草总公司重大科技项目(110202201053(SJ-03)) （110202201053(SJ-03）
