张国祥,张海瑜,李鑫星.基于数据可视化的冷鲜羊肉TPA指标数据提取优化方法[J].农业机械学报,2021,52(7):343-350.
ZHANG Guoxiang,ZHANG Haiyu,LI Xinxing.Optimization Method of TPA Index Data Extraction of Chilled Mutton Based on Data Visualization[J].Transactions of the Chinese Society for Agricultural Machinery,2021,52(7):343-350.
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基于数据可视化的冷鲜羊肉TPA指标数据提取优化方法   [下载全文]
Optimization Method of TPA Index Data Extraction of Chilled Mutton Based on Data Visualization   [Download Pdf][in English]
投稿时间:2021-04-19  
DOI:10.6041/j.issn.1000-1298.2021.07.037
中文关键词:  冷鲜羊肉  全质构分析法  数据可视化  指标数据提取优化  检测系统
基金项目:财政部和农业农村部:国家现代农业产业技术体系项目(CARS-38)
作者单位
张国祥 中国农业大学 
张海瑜 中国农业大学烟台研究院 
李鑫星 中国农业大学 
中文摘要:冷鲜羊肉的消费量近年呈现持续增长趋势,保障其质量安全至关重要。全质构分析法(TPA)是冷鲜羊肉质量安全检测的重要方法,但在实际检测过程中获取的部分TPA指标数据存在较大误差。通过解析冷鲜羊肉的TPA质构检测过程,提出了一种基于数据可视化的冷鲜羊肉TPA指标数据提取优化方法。首先对实际检测力度数据进行滑动平均滤波处理,在数据可视化方法基础上,分别进行TPA曲线对应各特征节点的具体定位,构建TPA指标数据提取优化模型,设计了自主检测系统,并进行了试验检测。结果表明,基于优化方法设计组装的冷鲜羊肉TPA质构检测系统比TA-XT PLUS型质构仪表现出数据稳定的优势,其中粘性指标数据平均测量误差下降12.4个百分点,获得的TPA指标数据与样品菌落总数指标对数值表现出较高的相关性,其相关系数绝对值均大于0.8,能够较好地反映试验期间冷鲜羊肉样品的质地特性变化。
ZHANG Guoxiang  ZHANG Haiyu  LI Xinxing
China Agricultural University;Yantai Institute, China Agricultural University
Key Words:chilled mutton  texture profile analysis  data visualization  optimization of index data extraction  detection system
Abstract:With the improvement of people’s living standard and the rapid development of modern food industry, food quality and safety issues attracted increasing attention. The consumption of chilled mutton showed a trend of continuous growth in recent years. Chilled mutton has become the main sales category of lamb products in China. and it is important to ensure its quality and safety. Texture profile analysis (TPA) is an important detection method for the quality and safety of chilled mutton, but there is a large data error in some TPA index values obtained during the actual measurement process. Based on the analysis of the specific measurement process of the TPA texture detection of chilled mutton, an optimizing method of TPA index extraction of chilled mutton was proposed. The actual force data was processed by the moving average filtering method, and on the basis of the data visualization method, the location of the characteristic nodes of the TPA curve was determined by constructing the TPA indexes extract optimization model. Based on the optimization method, the self-designed chilled mutton TPA detection system showed the data stability advantages, compared with the TA-XT PLUS tester,the average measurement error of adhesiveness was decreased by 12.4 percentage points. And all TPA indexes of the self-designed system showed a higher correlation with total bacteria, the absolute values of the correlation coefficient were over 0.8,which can better reflect the texture characteristics change of chilled mutton. The research result can provide more comprehensive theoretical support and practical experience for the TPA of chilled mutton, which can further improve the quality and safety of chilled mutton, so as to protect the rights of consumers.

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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