食品科学 ›› 2022, Vol. 43 ›› Issue (6): 317-323.doi: 10.7506/spkx1002-6630-20210403-039

• 成分分析 • 上一篇    下一篇

基于顶空气相离子迁移谱的干腐病马铃薯挥发性成分分析

张凡,张宇帆,苏心悦,徐文雅,安焕炯,马倩云,孙剑锋,王颉,王文秀   

  1. (河北农业大学食品科技学院,河北保定 071000)
  • 出版日期:2022-03-25 发布日期:2022-03-28
  • 基金资助:
    河北省高等学校青年基金项目(QN2019113);河北省自然科学基金项目(C2020204166); 河北省重点研发计划项目(20327111D;20327103D);河北农业大学引进人才科研专项(YJ201850)

Analysis of Volatile Components in Potatoes with Dry Rot by Headspace-Gas Chromatography-Ion Mobility Spectrometry

ZHANG Fan, ZHANG Yufan, SU Xinyue, XU Wenya, AN Huanjiong, MA Qianyun, SUN Jianfeng, WANG Jie, WANG Wenxiu   

  1. (College of Food Science and Technology, Hebei Agricultural University, Baoding 071000, China)
  • Online:2022-03-25 Published:2022-03-28

摘要: 以健康和不同腐败程度(轻度干腐病、中度干腐病、重度干腐病)马铃薯样品为研究对象,基于顶空气相离子迁移谱(headspace-gas chromatography-ion mobility spectrometry,HS-GC-IMS)技术对不同病害程度马铃薯中挥发性成分进行鉴别分析。结果表明,不同腐败程度的马铃薯共检测出43?种挥发性成分,主要包括醛类18?种、醇类9?种、酮类5?种、烯烃类5?种、酯类2?种、胺类2?种、呋喃类1?种、醚类1?种。其中,随着腐败程度的增加,辛烯、α-水芹烯、环己酮、庚醛、乙醛含量增大,且重度腐败样品中产生二丙基二硫醚、苯乙烯、异丁醇、壬烯醛成分,以上可作为与接骨木镰刀菌代谢产物有关的特异性成分。通过建立不同腐败程度马铃薯之间的指纹图谱,使不同类别样品的挥发性成分差异可视化。主成分分析结果进一步表明,基于检测到的挥发性成分,能对健康和不同腐败程度的马铃薯样品进行有效区分。研究结果证实HS-GC-IMS技术能直观全面地反映不同腐败程度马铃薯挥发性成分间的差异,有效辩识干腐病马铃薯特异性挥发性成分,为基于气味传感信息的马铃薯干腐病的诊断识别提供理论依据。

关键词: 马铃薯;干腐病;顶空气相离子迁移色谱;主成分分析;指纹图谱

Abstract: In this study, headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) was employed for the analysis of volatile substances in healthy potatoes and those with different degrees of dry rot (light, moderate and heavy). The results showed that 43 volatile components were identified, including 18 aldehydes, 9 alcohols, 5 ketones, 5 alkenes, 2 esters, 2 amines, 1 furan and 1 ether. The contents of octene, α-carcelene, cyclohexanone, heptyl aldehyde and acetaldehyde went up with increasing severity of dry rot, and dipropyl disulfide, styrene, isobutanol and nonenal were produced in samples with heavy soft rot as the specific volatile components related to metabolites of Fusarium sambucinum. Fingerprints were developed that allowed to visually discern the differences in volatile components between samples with different degrees of rot severity. Principal component analysis (PCA) showed that the healthy and rotten potatoes could be effectively distinguished based on volatile components. We concluded that HS-GC-IMS allows visual comprehensive identification of the differences in volatile components between potatoes with different degrees of rot severity and effective identification of the specific volatile components of potatoes with dry rot, which can provide the theoretical basis for the diagnosis and identification of dry rot in potatoes based on odor sensing information.

Key words: potato; dry rot; headspace-gas chromatography-ion mobility spectrometry; principal component analysis; fingerprint

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