不同种类鸡蛋蛋黄近红外光谱特性研究
|
摘要
提出并建立一种基于近红外光谱技术的普通鸡蛋、柴鸡蛋和土鸡蛋的鉴别方法。从超市购置三种不同鸡蛋,在实验室分离出每类鸡蛋蛋黄20个,共60个样品,并在4 000～10 000 cm~(-1)范围内采集所有样品的近红外漫反射光谱。在研究其近红外光谱特性的基础上,对其光谱数据进行主成分(PCA)分析,结果发现PCA方法无法完全实现三类鸡蛋的聚类鉴别。最后,建立三类鸡蛋的偏最小二乘判别模型,其对校正集和预测集三类鸡蛋进行判别,正确率均为100%。
A discrimination method of ordinary eggs, free-range eggs and native eggs was proposed and built based on near infrared(NIR) spectroscopy. Three kinds of eggs were purchased from the supermarket, and 20 egg yolk samples of each type were separated in the laboratory. A total of 60 samples were prepared. The NIR diffuse reflectance spectra of all the samples was collected in the range of 4 000-10 000 cm~(-1). On the basis of studying the characteristics of NIR spectra, the principal component analysis(PCA) was carried out. It is pointed out that PCA method cannot fully realize the identification of three kinds eggs. Finally, the partial least squares discriminant analysis model of three kinds eggs was established, and the correct discrimination rates of the three kinds of eggs were 100% for samples in calibration set and prediction set.
A discrimination method of ordinary eggs, free-range eggs and native eggs was proposed and built based on near infrared(NIR) spectroscopy. Three kinds of eggs were purchased from the supermarket, and 20 egg yolk samples of each type were separated in the laboratory. A total of 60 samples were prepared. The NIR diffuse reflectance spectra of all the samples was collected in the range of 4 000-10 000 cm~(-1). On the basis of studying the characteristics of NIR spectra, the principal component analysis(PCA) was carried out. It is pointed out that PCA method cannot fully realize the identification of three kinds eggs. Finally, the partial least squares discriminant analysis model of three kinds eggs was established, and the correct discrimination rates of the three kinds of eggs were 100% for samples in calibration set and prediction set.
引文
[1]陈冬梅.关于鸡蛋食用价值的探讨[J].中国酿造,2013,32(6):12-15.
[2]熊丝丝,龚千锋,宁希鲜,等.鸡蛋蛋黄的研究进展[J].赣南医学院学报,2014,34(2):313-315.
[3]CHEN Y,DENG J,WANG Y,et al.Study on discrimination of white tea and albino tea based on near-infrared spectroscopy and chemometrics[J].Journal of the Science of Food and Agriculture,2014,94(5):1026-1033.
[4]张海洋,廖彩淇,杨仁杰,等.基于近、中红外光谱数据融合掺假牛奶的判定[J].天津农学院学报,2017,24(4):52-56.
[5]YANG Y R,REN Y F,DONG G M,et al.Determination of methanol in alcoholic beverages by two-dimensional near-infrared correlation spectroscopy[J].Analytical Letters,2016,49(14):2279-2289.
[6]HE Y,LI X,DENG X.Discrimination of varieties of tea using near infrared spectroscopy by principal component analysis and BP model[J].Journal of Food Engineering,2007,79(4):1238-1242.
[7]刘燕德,周延睿,彭彦颖.基于近红外漫反射光谱检测鸡蛋品质[J].光学精密工程学报,2013,21(1):40-45.
[8]孙艳文,尹程程,李志成,等.鸡蛋脂肪含量近红外光谱无损检测技术研究[J].食品工业,2016,37(9):183-186.
[9]赵勇,洪文学.基于符号熵特征提取方法的特种品质鸡蛋近红外光谱鉴别分析[J].光谱学与光谱分析,2011,31(11):54-57.
[10]付丹丹,王巧华.鸡蛋新鲜度、pH及黏度的高光谱检测模型[J].食品科学,2016,37(22):193-199.
[11]杨仁杰,刘蓉,杨延荣,等.用二维相关近红外谱和多维主成分分析判别掺杂牛奶[J].光学精密工程,2014,22(9):2352-2358.
[2]熊丝丝,龚千锋,宁希鲜,等.鸡蛋蛋黄的研究进展[J].赣南医学院学报,2014,34(2):313-315.
[3]CHEN Y,DENG J,WANG Y,et al.Study on discrimination of white tea and albino tea based on near-infrared spectroscopy and chemometrics[J].Journal of the Science of Food and Agriculture,2014,94(5):1026-1033.
[4]张海洋,廖彩淇,杨仁杰,等.基于近、中红外光谱数据融合掺假牛奶的判定[J].天津农学院学报,2017,24(4):52-56.
[5]YANG Y R,REN Y F,DONG G M,et al.Determination of methanol in alcoholic beverages by two-dimensional near-infrared correlation spectroscopy[J].Analytical Letters,2016,49(14):2279-2289.
[6]HE Y,LI X,DENG X.Discrimination of varieties of tea using near infrared spectroscopy by principal component analysis and BP model[J].Journal of Food Engineering,2007,79(4):1238-1242.
[7]刘燕德,周延睿,彭彦颖.基于近红外漫反射光谱检测鸡蛋品质[J].光学精密工程学报,2013,21(1):40-45.
[8]孙艳文,尹程程,李志成,等.鸡蛋脂肪含量近红外光谱无损检测技术研究[J].食品工业,2016,37(9):183-186.
[9]赵勇,洪文学.基于符号熵特征提取方法的特种品质鸡蛋近红外光谱鉴别分析[J].光谱学与光谱分析,2011,31(11):54-57.
[10]付丹丹,王巧华.鸡蛋新鲜度、pH及黏度的高光谱检测模型[J].食品科学,2016,37(22):193-199.
[11]杨仁杰,刘蓉,杨延荣,等.用二维相关近红外谱和多维主成分分析判别掺杂牛奶[J].光学精密工程,2014,22(9):2352-2358.