赵杰文,管彬彬,林颢,邹小波,孙力,毕夏坤.基于嗅觉可视技术的食醋气味表征和区分[J].农业机械学报,2013,44(10):188-192.
Zhao Jiewen,Guan Binbin,Lin Hao,Zou Xiaobo,Sun Li,Bi Xiakun.Characterization and Discrimination of Vinegar Flavor Based on Olfaction Visualization Technology[J].Transactions of the Chinese Society for Agricultural Machinery,2013,44(10):188-192.
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基于嗅觉可视技术的食醋气味表征和区分   [下载全文]
Characterization and Discrimination of Vinegar Flavor Based on Olfaction Visualization Technology   [Download Pdf][in English]
  
DOI:10.6041/j.issn.1000-1298.2013.10.030
中文关键词:  食醋  嗅觉可视传感器  气味  线性判别分析  主成分分析
基金项目:江苏省自然科学基金资助项目(SBK201241449)、全国优秀博士学位论文基金资助项目(200968)和教育部新世纪人才资助项目(2011)
作者单位
赵杰文 江苏大学 
管彬彬 江苏大学 
林颢 江苏大学 
邹小波 江苏大学 
孙力 江苏大学 
毕夏坤 江苏大学 
中文摘要:利用自主研发的便携式食品气味嗅觉可视检测仪对3种食醋进行了分析,并在实验过程中对传感器制作和图像信号采集进行了优化。结果表明,相机获取图像的整体稳定性优于扫描仪,溶剂挥发时间为15 min时,传感器最为稳定,且与食醋反应可获取最佳响应信号差值;对传感器获取3种食醋挥发气体的响应信号进行主成分分析,再通过线性模型判别,发现独立食醋样本的识别率达到100%。
Zhao Jiewen  Guan Binbin  Lin Hao  Zou Xiaobo  Sun Li  Bi Xiakun
Jiangsu University;Jiangsu University;Jiangsu University;Jiangsu University;Jiangsu University;Jiangsu University
Key Words:Vinegar  Olfaction visualization sensor  Flavor  Linear discriminant analysis  Principal component analysis
Abstract:A portable artificial olfaction system based on visualization sensor array was employed to characterize the flavor from three kinds of vinegar. Optimal experimental process was conducted in visualization sensor fabrication and image collection. The result showed that the stability of image gained by camera was better than scanner’s. When volatilization time was set at 15min, the stable images could be obtained, as well as the reaction between the sensor array and the vinegar achieved its maximum response value. The data was analyzed with statistical and chemometric methods, including principal component analysis and linear discriminant analysis. The recognition rate was up to 100%. 

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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