| 基于电子鼻的芒果储存时间预测方法研究 |
| |
| 引用本文： | 尹芳缘,曾小燕,韩圆圆,惠国华,陈裕泉.基于电子鼻的芒果储存时间预测方法研究[J].传感技术学报,2012,25(9):1199-1203. |
| |
| 作者姓名： | 尹芳缘 曾小燕 韩圆圆 惠国华 陈裕泉 |
| |
| 作者单位： | 1. 浙江工商大学食品与生物工程学院,杭州,310035
2. 浙江大学生物医学工程与仪器科学学院,杭州,310027 |
| |
| 基金项目： | 浙江省公益技术应用研究项目，国家自然科学基金，浙江省自然科学基金，浙江省大学生科技创新活动计划项目，浙江工商大学大学生创新项目 |
| |
| 摘 要： | 本文研究了一种芒果储存期预测方法,使用智能电子鼻实验检测了存储于9天内的芒果样品,主成分分析法实现了不同贮存时间芒果样品的区分,采用阈值随机共振方法提取芒果品质特性信息,并以互相关系数极大值构建芒果储存期预测模型。预测实验结果表明该模型预测准确度为87.5%。该预测方法具有检测快速、准确性好、成本低等优势。
|
| 关 键 词： | 电子鼻 芒果品质分析 非周期随机共振 互相关系数 |
Study of Mango Storage Time Predicting Method Utilizing Electronic Nose |
| |
| YIN Fangyuan
,
ZENG Xiaoyan
,
XU Weiwei
,
HUI Guohua
,
CHEN Yuquan.Study of Mango Storage Time Predicting Method Utilizing Electronic Nose[J].Journal of Transduction Technology,2012,25(9):1199-1203. |
| |
| Authors: | YIN Fangyuan ZENG Xiaoyan XU Weiwei HUI Guohua CHEN Yuquan |
| |
| Affiliation: | 1.College of Food Science and Biotechnology,Zhejiang Gongshang University,Hangzhou 310035,China; 2.College of Biomedical Engineering and Instrument Science,Zhejiang University,Hangzhou 310027,China) |
| |
| Abstract: | In this paper, a mango storage time predicting method utilizing electronic nose is proposed. The electronic nose responses to mango samples stored within 9 days are measured. Principal component analysis (PCA) method can distinguish mango samples of the different storage time. The aperiodic stochastic resonance method is used to extract the mango quality features, and the cross-correlation coefficient maximums are used to build mango storage time predicting model. The validating experiments results indicate that the predicting accuracy of the developed model is 87.5%. This method presents some advantages including rapid detection, good accuracy, and low cost. |
| |
| Keywords: | electronic nose mango quality analysis aperiodic stochastic resonance ross-correlation coefficient |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《传感技术学报》浏览原始摘要信息 |
|
点击此处可从《传感技术学报》下载全文 |
|
