张雷蕾,彭彦昆,刘媛媛,赵娟,郭辉.冷却肉微生物污染和肉色变化的Vis/NIR光谱无损检测[J].农业机械学报,2013,44(Supp1):159-164.
Zhang Leilei,Peng Yankun,Liu Yuanyuan,Zhao Juan,Guo Hui.Non-invasive Detection to TVC and Color of Chilled Pork Based on Vis/NIR Spectroscopy[J].Transactions of the Chinese Society for Agricultural Machinery,2013,44(Supp1):159-164.
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冷却肉微生物污染和肉色变化的Vis/NIR光谱无损检测   [下载全文]
Non-invasive Detection to TVC and Color of Chilled Pork Based on Vis/NIR Spectroscopy   [Download Pdf][in English]
  
DOI:10.6041/j.issn.1000-1298.2013.S1.029
中文关键词:  冷却肉  菌落总数  可见/近红外光谱  支持向量机  无损检测
基金项目:“十二五”国家科技支撑计划资助项目(2012BAH04B00);公益性行业(农业)科研专项经费资助项目(201003008);中央高校基本科研业务费专项资金资助项目(2013YJ007)
作者单位
张雷蕾 中国农业大学 
彭彦昆 中国农业大学 
刘媛媛 中国农业大学
塔里木大学 
赵娟 中国农业大学 
郭辉 中国农业大学 
中文摘要:利用可见/近红外光谱技术对冷却肉菌落总数和颜色进行快速、无损检测。采用400~1100nm可见/近红外光谱成像系统,获取54个冷却肉样本表面的光谱图像,采用主成分分析结合马氏距离方法对异常光谱进行判别及剔除。通过Gompertz分布函数对散射特征曲线进行拟合,得到表征光谱信息的Gompertz参数,结合支持向量机算法建立冷却肉菌落总数和肉色L*的预测模型。α、β、θ、δ组合和α、β、δ组合建模对细菌总数预测效果最好,预测相关系数分别为0.937和0.935,预测标准差为0.600lg CFU/g和0.702lg CFU/g。β、δ组合建模对肉色L*预测效果较好,预测相关系数达到0.930,预测标准差为1.515。研究结果表明利用Vis/NIR光谱散射特征结合支持向量机可以实现冷却肉品质的快速、高效、无损伤检测。
Zhang Leilei  Peng Yankun  Liu Yuanyuan  Zhao Juan  Guo Hui
China Agricultural University;China Agricultural University;China Agricultural University;Tarim University;China Agricultural University;China Agricultural University
Key Words:Chilled pork  Total viable counts  Vis/NIR spectroscopy  Support vector machine  Non-invasive detection
Abstract:Vis/NIR spectroscopy was used to detect TVC and color of chilled pork rapidly and non-invasively. Vis/NIR scattering image in the range of 400nm to 1100nm were collected from 54 chilled pork samples. The scattering profiles were fitted accurately by four-parameter Gompertz function. The TVC and color L* prediction models were built with support vector machines (SVM) regression. The regression coefficient (Rv) of combination α, β, θ, δ and combination α, β, δ were 0.937 and 0.935, and the standard error of prediction (SEP) were 0.600\lg CFU/g and 0.702lg CFU/g, respectively. For color L*, the prediction model based on combination β and δ could give satisfactory results with Rv of 0.930 and SEP of 1.515. The results demonstrated that Vis/NIR spectroscopy combined with SVM was precise and potential for valid, rapid, non-invasive detection of chilled pork.

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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