食品科学 ›› 2022, Vol. 43 ›› Issue (12): 303-307.doi: 10.7506/spkx1002-6630-20210413-186

• 安全检测 • 上一篇    

基于数据可视化方法分析冷鲜羊肉质构指标的误差

张国祥,张海瑜,罗海玲   

  1. (1.中国农业大学 食品质量与安全北京实验室,北京 100083;2.中国农业大学烟台研究院,山东 烟台 264670;3.中国农业大学动物科技学院,动物营养学国家重点实验室,北京 100193)
  • 发布日期:2022-07-01
  • 基金资助:
    财政部和农业农村部:国家现代农业产业技术体系资助项目(CARS-38)

Error Analysis for Textural Measurement of Chilled Mutton Based on Data Visualization

ZHANG Guoxiang, ZHANG Haiyu, LUO Hailing   

  1. (1. Beijing Laboratory of Food Quality and Safety, China Agricultural University, Beijing 100083, China;2. Yantai Institute, China Agricultural University, Yantai 264670, China; 3. State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China)
  • Published:2022-07-01

摘要: 以冷鲜羊肉为实验对象,基于数据可视化方法分析冷鲜羊肉的具体全质构分析(texture profile analysis,TPA)法检测过程,测试中仪器轻微震动等因素导致TPA检测系统生成的TPA曲线上出现特殊峰和曲线波动等系统误差,从而使检测系统对冷鲜羊肉TPA曲线上特征节点选择产生偏差,最终导致TPA指标数值产生较大数据误差。结果表明:特殊峰和曲线波动等系统误差受到压缩比测定条件的影响,在20%压缩比条件下误差较为显著,且对不同TPA指标数据的具体影响效果存在差异和关联性;而通过特征节点位置修正得到的黏性指标数据在不同压缩比条件下的平均修正量均超过20%,且修正后的50%压缩比条件下黏性指标数据与冷鲜羊肉样本挥发性盐基氮、菌落总数对数以及大肠菌群对数之间的相关系数亦分别提高11.2%、20.7%和8.3%。由此可见,通过修正TPA曲线特征节点位置可以有效减少TPA测定的数据误差影响,从而提高获取的TPA指标数据的准确性和可靠性。

关键词: 冷鲜羊肉;全质构分析法;数据可视化;数据误差

Abstract: In this study, the texture profile analysis (TPA) process of chilled mutton was analyzed by a data visualization method. It was found that some factors such as slight instrumental vibrations could cause systematic errors such as abnormal peaks and curve fluctuations on the TPA curve and consequently deviations between the characteristic nodes on the TPA curve selected by the detection system and the actual ones, ultimately leading to significant errors in the measurement of TPA indexes. The results also showed that the systematic errors were affected by compression ratios, significant errors appearing at 20% compression ratio, and there were differences in and correlations between the influence on different TPA indexes. The error in the extracted TPA data was effectively reduced by correcting the position of the characteristic nodes on the TPA curve. The average correction level of adhesiveness was more than 20% at all compression ratios tested, and the correlation coefficients between the corrected adhesiveness at 50% compression ratio and total volatile base nitrogen (TVB-N), the logarithm of total viable count, and the logarithm of coliform count increased by 11.2%, 20.7% and 8.3%, respectively. Therefore, errors in the measurement of TPA indicators can be effectively reduced by modifying the position of the characteristic nodes on the TPA curve, improving the accuracy and reliability of the measured TPA indicators.

Key words: chilled mutton; texture profile analysis; data visualization; data errors

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