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基于脂质聚类分析的可可粉掺假检测方法研究
引用本文:王琴,胡明华,戴军,陈尚卫,朱松,詹晟.基于脂质聚类分析的可可粉掺假检测方法研究[J].食品与机械,2012,28(4):69-72.
作者姓名:王琴  胡明华  戴军  陈尚卫  朱松  詹晟
作者单位:1. 无锡市产品质量监督检验中心,江苏无锡,214101
2. 江南大学食品科学与技术国家重点实验室,江苏无锡,214122
基金项目:江苏省质量技术监督局科技项目
摘    要:为从脂质指纹分析角度建立可可粉掺假检测方法,用索氏提取法提取可可粉中的可可脂,通过反相高效液相色谱(RP-HPLC)分离-蒸发光散射检测器(ELSD)检测,构建可可粉的脂质色谱指纹图谱,根据其共有特征峰的相对峰面积,应用系统聚类分析(HCA)法,对模拟分别掺入板栗壳粉与桂圆壳粉且分别掺入代可可脂和棕榈油的可可粉掺假样品进行脂质指纹分析和掺假鉴别试验。结果表明:该方法对掺入1.2%(占样品质量的百分含量)及以上代可可脂或棕榈油的掺假可可粉样品可以予以鉴别。该方法较简便、灵敏且重复性好,可用于掺入不含脂质或低脂质类杂质的伪劣样品的检测。

关 键 词:可可粉  掺假检测  脂质指纹分析  高效液相色谱法  聚类分析

Adulteration detection of cocoa powder by clustering analysis of lipid
WANG Qin , HU Ming-hua , DAI Jun , CHEN Shang-wei , ZHU Song , ZHAN Cheng.Adulteration detection of cocoa powder by clustering analysis of lipid[J].Food and Machinery,2012,28(4):69-72.
Authors:WANG Qin  HU Ming-hua  DAI Jun  CHEN Shang-wei  ZHU Song  ZHAN Cheng
Affiliation:1(1.Wuxi Municipal Institute of Supervision and Inspection of Product Quality,Wuxi,Jiangsu214101,China;2.Sate Key Laboratory of Food Science and Technology,Jiangnan University,Wuxi,Jiangsu214122,China)
Abstract:For development of the adulterating detection method of cocoa powder,the lipids in cocoa powder samples made from cacao of 11different country and area were extracted by Soxhlet extractor,and then was analyzed by high performance liquid chromatography(HPLC) coupled with evaporative light-scattering detector(ELSD),and chromatographic fingerprint of lipid was obtained.According to relative peak area of the common peak,simulated cocoa powder samples adulterated respectively with chestnut shell powder/cocoa butter replacer(CBR) and longan shell powder/palm oil were identified by system clustering analysis method(HCA).The result showed that cocoa powder which was adulterated with more than 1.2% CBR or palm oil can be identified.Relative standard deviations of relative retention time and relative peak area of 14common peaks of chromatographic fingerprint in this method were less than 3%.
Keywords:cocoa powder  adulteration detection  chromatographic fingerprint of lipid  high performance liquid chromatography  clustering analysis
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