基于离子迁移谱的葡萄籽油掺伪鉴别研究
建立了基于离子迁移谱( IMS)技术的葡萄籽油掺伪鉴别新方法。经优化,选取进样口温度170℃,迁移管温度60℃。正己烷50倍稀释油样后进样检测,分析时间20 s。为了建立高效的葡萄籽油掺伪鉴别模型,本研究采用递归支持向量机( R-SVM)方法对葡萄籽油和掺伪葡萄籽油的IMS谱图进行分类,建立葡萄籽油和掺伪葡萄籽油分类判别模型,采用十折交互检验对建立的模型进行评价,结果显示模型判别正确率为91.2%。本方法操作简单,分析速度快,为食用油真伪鉴别提供了一种新方法。...
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Published in | 分析化学 Vol. 42; no. 10; pp. 1530 - 1534 |
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Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
中国农业科学院油料作物研究所
2014
农业部油料作物生物学与遗传改良重点实验室 农业部油料作物风险评估重点实验室 农业部生物毒素检测重点实验室%中国农业科学院油料作物研究所 油料所-矽感科技离子迁移谱在油料油品质量安全中应用研究联合实验室,武汉430062%中国农业科学院油料作物研究所 农业部油料及制品质量监督检验测试中心%中国农业科学院油料作物研究所 |
Subjects | |
Online Access | Get full text |
ISSN | 0253-3820 |
DOI | 10.11895/j.issn.0253-3820.140328 |
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Abstract | 建立了基于离子迁移谱( IMS)技术的葡萄籽油掺伪鉴别新方法。经优化,选取进样口温度170℃,迁移管温度60℃。正己烷50倍稀释油样后进样检测,分析时间20 s。为了建立高效的葡萄籽油掺伪鉴别模型,本研究采用递归支持向量机( R-SVM)方法对葡萄籽油和掺伪葡萄籽油的IMS谱图进行分类,建立葡萄籽油和掺伪葡萄籽油分类判别模型,采用十折交互检验对建立的模型进行评价,结果显示模型判别正确率为91.2%。本方法操作简单,分析速度快,为食用油真伪鉴别提供了一种新方法。 |
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AbstractList | 建立了基于离子迁移谱( IMS)技术的葡萄籽油掺伪鉴别新方法。经优化,选取进样口温度170℃,迁移管温度60℃。正己烷50倍稀释油样后进样检测,分析时间20 s。为了建立高效的葡萄籽油掺伪鉴别模型,本研究采用递归支持向量机( R-SVM)方法对葡萄籽油和掺伪葡萄籽油的IMS谱图进行分类,建立葡萄籽油和掺伪葡萄籽油分类判别模型,采用十折交互检验对建立的模型进行评价,结果显示模型判别正确率为91.2%。本方法操作简单,分析速度快,为食用油真伪鉴别提供了一种新方法。 建立了基于离子迁移谱( IMS)技术的葡萄籽油掺伪鉴别新方法。经优化,选取进样口温度170℃,迁移管温度60℃。正己烷50倍稀释油样后进样检测,分析时间20 s。为了建立高效的葡萄籽油掺伪鉴别模型,本研究采用递归支持向量机( R-SVM)方法对葡萄籽油和掺伪葡萄籽油的IMS谱图进行分类,建立葡萄籽油和掺伪葡萄籽油分类判别模型,采用十折交互检验对建立的模型进行评价,结果显示模型判别正确率为91.2%。本方法操作简单,分析速度快,为食用油真伪鉴别提供了一种新方法。 |
Abstract_FL | A rapid method for authenticity detection of grapeseed oil was proposed based on Ion Mobility Spectrometry ( IMS) . After optimization, the inlet temperature was set at 170 ℃, drift tube temperature was set at 60 ℃. In this method, the oil sample was diluted in hexane (50-fold, V/V) and then directly analyzed in IMS. The detection time was 20 s. To establish an adulteration detection model, recursive Support Vector Machine ( R-SVM) was applied to classifying pure and adulterated grape seed oils. The result of 10-fold cross validation showed that the accuracy of discrimination was up to 91 . 2%. The results in study indicate that IMS method is a new, fast and convenient technique for the adulteration detection of edible oil. |
Author | 帅茜 张良晓 李培武 张奇 王秀嫔 丁小霞 |
AuthorAffiliation | 中国农业科学院油料作物研究所 农业部油料作物生物学与遗传改良重点实验室 农业部生物毒素检测重点实验室 农业部油料作物风险评估重点实验室 农业部油料及制品质量监督检验测试中心 油料所-矽感科技离子迁移谱在油料油品质量安全中应用研究联合实验室,武汉430062 |
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Author_FL | ZHANG Liang-Xiao DING Xiao-Xia LI Pei-Wu ZHANG Qi WANG Xiu-Pin SHUAI Qian |
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DocumentTitleAlternate | Detection of Authenticity of Grape Seed Oil with Ion Mobility Spectrometry |
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Keywords | 主成分分析 支持向量机 Adulteration detection 葡萄籽油 Ion mobility spectrometry 离子迁移谱 掺伪鉴别 Grapeseed oil Recursive support vector machine Principal component analysis |
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Notes | A rapid method for authenticity detection of grapeseed oil was proposed based on Ion Mobility Spectrometry ( IMS) . After optimization, the inlet temperature was set at 170 ℃, drift tube temperature was set at 60 ℃. In this method, the oil sample was diluted in hexane (50-fold, V/V) and then directly analyzed in IMS. The detection time was 20 s. To establish an adulteration detection model, recursive Support Vector Machine ( R-SVM) was applied to classifying pure and adulterated grape seed oils. The result of 10-fold cross validation showed that the accuracy of discrimination was up to 91 . 2%. The results in study indicate that IMS method is a new, fast and convenient technique for the adulteration detection of edible oil. Grapeseed oil;Ion mobility spectrometry;Adulteration detection;Principal component analysis;Recursive support vector machine 22-1125/O6 SHUAI Qian, ZHANG Liang-Xiao, LI Pei-Wu, ZHANG Qi, WANG Xiu-Pin, DING Xiao-Xia (Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesI |
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Snippet | 建立了基于离子迁移谱( IMS)技术的葡萄籽油掺伪鉴别新方法。经优化,选取进样口温度170℃,迁移管温度60℃。正己烷50倍稀释油样后进样检测,分析时间20 s。为了建立高效的葡萄籽油掺伪鉴别模型,本研究采用递归支持向量机(... 建立了基于离子迁移谱( IMS)技术的葡萄籽油掺伪鉴别新方法。经优化,选取进样口温度170℃,迁移管温度60℃。正己烷50倍稀释油样后进样检测,分析时间20 s。为了建立高效的葡萄籽油掺伪鉴别模型,本研究采用递归支持向量机(... |
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SubjectTerms | 主成分分析 掺伪鉴别 支持向量机 离子迁移谱 葡萄籽油 |
Title | 基于离子迁移谱的葡萄籽油掺伪鉴别研究 |
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