Discrimination of fresh-cut broccoli freshness by volatiles using electronic nose and gas chromatography-mass spectrometry
Discrimination of fresh-cut broccoli freshness by volatiles using electronic nose and gas chromatography-mass spectrometry
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DOI：
10.1016/j.postharvbio.2018.10.019
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发表时间：
2019-02-01
影响因子：
7
通讯作者：
Guo, Zhimei
中科院分区：
文献类型：
--
作者：
Chen, Hui-zhi;Zhang, Min;Guo, Zhimei
采用电子鼻（e-nose）和固相微萃取（SPME）技术结合气相色谱-质谱（GC-MS）技术对鲜切西兰花冷藏过程中的新鲜度进行监测。同时测定了质量损失率、叶绿素含量、菌落总数、感官评定、丙二醛含量和膜透性等传统品质指标，应用典型判别分析（CDA）可区分新鲜（0 d近似3 d）、中新鲜（6 d近似9 d）和腐败（12 d近似15 d）样品。采用GC-MS联用技术对西兰花样品进行分析，共检测出43种挥发性物质（包括烃类、醇类、酯类、醚类、醛类、酮类、含硫化合物和含硫氮化合物）。随着储存时间的增加，观察到含硫化合物如二甲基二硫醚的显著积累。主成分分析（PCA）、层次聚类分析（HCA）和CDA对电子鼻数据的分析都能区分鲜切西兰花的新鲜度。电子鼻分析结果与GC-MS分析结果一致。本研究表明，电子鼻具有潜在的应用作为一种快速技术，以确定鲜切蔬菜的新鲜度。
This work was aimed to monitor the freshness of fresh-cut broccoli during refrigerated storage using electronic nose (e-nose) and solid phase microextraction (SPME) combined with gas chromatography-mass spectrometry (GC-MS). Traditional quality indices such as mass loss, chlorophyll content, aerobic plate count, sensory evaluation, malondialdehyde content and membrane permeability were also measured and the result of canonical discriminant analysis (CDA) can distinguish between fresh (on 0 similar to 3 d), medium fresh (on 6 similar to 9 d), and spoiled samples (on 12 similar to 15 d). A total of 43 volatiles (including hydrocarbons, alcohols, esters, ethers, aldehydes, ketones, sulfur compounds and sulfur nitrogen compounds) were detected in broccoli samples using GC-MS analysis. Significant accumulation of sulfur compounds like dimethyl disulfide was observed as storage time increased. Both principal components analysis (PCA), hierarchical cluster analysis (HCA) and CDA on e-nose data could discriminate freshness of fresh-cut broccoli. The result of e-nose analysis was in good agreement with that of GC-MS analysis. This study suggested that e-nose has potential for applying as a rapid technique to determine freshness of fresh-cut vegetables.