滩羊熟肉脱氧肌红蛋白含量的高光谱无损预测
摘要
为探究基于高光谱成像技术预测滩羊熟肉脱氧肌红蛋白含量的可行性并寻找最佳预测模型,本文基于NIR高光谱成像技术,采集210个滩羊熟肉样本在波长900～1 700 nm处的高光谱图像,建立应用竞争性自适应重加权算法(CARS)模型预测贮藏期内滩羊熟肉脱氧肌红蛋白含量。研究结果表明,在冷藏条件下,经归一化预处理的CARS-PLSR模型在预测DeoMb(R_C=0.758,R_P=0.713)方面效果最佳。高光谱成像技术在预测滩羊熟肉脱氧肌红蛋白含量方面具有可行性。
引文
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[2]Neethling N E,Suman S P,Sigge G O,et al.Exogenous and Endogenous Factors Influencing Color of Fresh Meat from Ungulates[J].Meat and Muscle Biology,2017,1(1):253-75.
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[5]Ma J,Pu H B,Sun D W,et al.Application of Vis-NIR hyperspectral imaging in classification between fresh and frozen-thawed pork Longissimus Dorsi muscles[J].International Journal of Refrigeration,2015,50:10-18.
[6]杨东.基于高光谱成像技术熟牛肉新鲜度快速检测方法研究[D].沈阳:沈阳农业大学,2018.
[7]Wu L G,He J G,Liu G S,et al.Detection of common defects on jujube using Vis-NIR and NIR hyperspectral imaging[J].Postharvest Biology and Technology,2016,112:134-142.
[8]张保华,李江波,樊书祥,等.高光谱成像技术在果蔬品质与安全无损检测中的原理及应用[J].光谱学与光谱分析,2014,34(10):2743-2751.
[9]髙海龙,李小昱,徐森淼,等.透射和反射髙光谱成像的马铃薯损伤检测比较研究[J].光谱学与光谱分析,2013,33(12):3366-3371.
[10]吴龙国.基于高光谱成像技术的灵武长枣缺陷识别[D].银川:宁夏大学,2014.
[11]KRZYWICKI K.The determination of haem pigments in meat[J].Meat Science,1982,7(1):29-36.
[12]刘善梅.基于高光谱成像技术的冷鲜猪肉品质无损检测方法研究[D].武汉:华中农业大学,2015.
[13]成军虎.基于高光谱成像鱼肉新鲜度无损快速检测方法研究[D].广州:华南理工大学,2016.