中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 纯牛奶品牌识别中电子舌传感器阵列优化 农业机械学报 2010,41 (10) 138-142+158
Position: Home > Articles > Optimization of Electronic Tongue Sensors Array in Identifying the Brands of Pure Milk Transactions of the Chinese Society for Agricultural Machinery 2010,41 (10) 138-142+158

纯牛奶品牌识别中电子舌传感器阵列优化

作  者：
吴从元;王俊;肖宏;韦真博;于勇
单  位：
浙江大学生物系统工程与食品科学学院
关键词：
纯牛奶;电子舌;单因素方差分析;主成分分析;逐步判别分析
摘  要：
选取伊利、新希望、美丽健、蒙牛和光明纯牛奶作为研究对象,采用电子舌系统对这5个品牌纯牛奶进行了检测。单因素方差分析结果表明,纯牛奶品牌对各个传感器响应信号具有极显著的影响,通过剔除F值和决定系数R2较小的传感器变量优化传感器阵列。对原始数据和优化数据(剔除BA传感器,剔除BA、BB传感器,剔除BA、BB、HA传感器,剔除BA、BB、HA、GA传感器)进行的主成分分析结果表明,剔除BA、BB、HA、GA传感器数据在区分纯牛奶品牌方面比其他数据更有效。采用逐步判别分析进行识别,校正集所有数据识别率均达到100%,剔除BA、BB、HA、GA传感器数据和剔除BA传感器数据的预测集识别率均达到90%,但剔除BA、BB、HA、GA传感器数据仅包含3个传感器变量,表明它对纯牛奶品牌具有最佳识别效果。单因素方差分析通过剔除不显著的传感器响应信号能够优化电子舌传感器阵列并且提高电子舌的识别性能。
译  名：
Optimization of Electronic Tongue Sensors Array in Identifying the Brands of Pure Milk
作  者：
Wu Congyuan1 Wang Jun1 Xiao Hong1,2 Wei Zhenbo1 Yu Yong1(1.College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310029,China 2.Henry FOK Bioengineering College,Shaoguan University,Shaoguan 512005,China)
关键词：
Pure milk,Electronic tongue,One-way analysis of variance,Principal component analysis,Stepwise discriminant analysis
摘  要：
Pure milks,such as Yili,Xinxiwang,Meilijian,Mengniu and Guangming,were selected and detected by an electronic tongue.The results of one-way analysis of variance showed that brands had a very obvious effect on sensors signals of pure milks.Sensors array was optimized by removing sensors variable of small F and R2.Principal component analysis(PCA) was applied to original data and optimized data(without BA sensor;without BA,BB sensors;without BA,BB,HA sensors;without BA,BB,HA,GA sensors).Results indicated that the optimized data without BA,BB,HA,GA sensors was more effective than the other data in distinguishing the brands of pure milks.Stepwise discriminant analysis was used to recognize,the identification rates of all data in the calibration sets were 100%.In the prediction sets,the identification rates of optimized data without BA,BB,HA,GA sensors and without BA sensor were both 90%,but the optimized data without BA,BB,HA,GA sensors only included three sensors variables and showed the best identification effects on the brands of pure milks.One-way analysis of variance could optimize the sensors array of electronic tongue by removing unremarkable sensor signals and improve the recognition performance of electronic tongue.

相似文章

导出引用
计量
文章访问数: 13
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46