• 安全检测 •

### 基于数据可视化方法分析冷鲜羊肉质构指标的误差

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

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.