基于太赫兹光谱分析的猪肉K值无损检测方法

发布时间：2018-03-14 02:27

本文选题：猪肉　切入点：K值　出处：《农业机械学报》2017年12期 　论文类型：期刊论文

【摘要】：K值是评价猪肉新鲜度的重要指标,能够反映猪肉内核苷酸的分解情况,从而评定肉的变质程度。一般采用高效液相色谱法测定K值,此方法过程耗时,需破坏被测样品,不能满足生产和流通环节的快速检测需求。本文利用太赫兹(THz)光谱分析技术无损检测猪肉K值,探索快速检测K值的可行性。在0.2~2 THz范围内,采用衰减全反射模式提取80份不同新鲜度的猪肉THz光谱数据,同时用高效液相色谱法测定每份样品的K值。THz光谱原始数据经过一阶微分和Savitzky-Golay平滑滤波后,分别用主成分回归(PCR)、偏最小二乘回归(PLSR)和反向传播神经网络回归(BP-ANN)建立了THz光谱预测猪肉K值的数学模型。研究表明:非线性BP-ANN模型预测精度最高,相关系数为0.75,均方根误差为14.36%;采用THz光谱数据BP-ANN模型能够检测猪肉的新鲜度K值。与HPLC方法相比,该方法具有快速、无损、简单的特点。
[Abstract]:K value is an important index to evaluate the freshness of pork, which can reflect the decomposition of nucleotides in pork and thus evaluate the degree of deterioration of meat. It can not meet the requirement of fast detection in production and circulation. In this paper, the K value of pork is detected by using THz spectrum analysis technique, and the feasibility of rapid detection of K value is explored. In the range of 0.2 THz, THz spectrum analysis technique is used to detect the K value of pork. 80 pork THz spectra with different freshness were extracted by attenuated total reflection mode. The K value. THz spectra of each sample were measured by high performance liquid chromatography (HPLC). After first order differential and Savitzky-Golay smoothing filtering, the original K value of each sample was determined. The mathematical models for predicting K value of pork by THz spectrum were established by principal component regression (PCA), partial least square regression (PLSR) and backpropagation neural network regression (BP ANN), respectively. The results show that the nonlinear BP-ANN model has the highest prediction accuracy. The correlation coefficient is 0.75 and the root mean square error is 14.36.The THz spectral data BP-ANN model can be used to detect the freshness K value of pork. Compared with the HPLC method, this method is fast, non-destructive and simple.
【作者单位】：南京林业大学机械电子工程学院;南京师范大学分析测试中心;泰州学院;南京工业职业技术学院航空工程学院;
【基金】：国家自然科学基金项目(31570714) 江苏省高校自然科学基金项目(15KJD550001) 江苏省高校优势学科建设工程项目(PAPD) 2016年度省级战略性新兴产业发展专项资金项目南京市2015年度科技发展计划项目(201505058)
【分类号】：O657.3;TS251.51

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