激光与光电子学进展, 2013, 50 (5): 053003, 网络出版: 2013-05-07
鸡蛋新鲜度的可见近红外透射光谱快速识别 下载: 908次
Visible-Near-Infrared Transmission Spectra for Rapid Analysis of the Freshness of Eggs
光谱学 近红外漫透射 偏最小二乘法 哈夫单位 蛋黄指数 失重率 spectroscopy near-infrared diffuse transmission partial least square Haugh unit yolk index weight loss rate
摘要
哈夫单位、蛋黄指数和失重率是评价鸡蛋新鲜度的重要指标。通过采集反映鸡蛋内部品质的近红外(550~985 nm)透射光谱对其进行了无损、快速定量分析。通过Savitzky-Golay光谱平滑方法和一阶微分对光谱进行预处理,采用联合区间偏最小二乘法(SI-PLS)选取合适的光谱或波长区间进行建模;并将选取的特征变量通过主成分分析,获取光谱的有效信息作为反向传播人工神经网络(BP-ANN)的输入变量进行非线性建模。比较两种模型的预测效果发现SI-PLS模型的性能优于BP-ANN模型。实验结果表明:应用近红外透射光谱评价鸡蛋的新鲜度是可行的。
Abstract
The Haugh unit, yolk index and weight loss rate are important indicators to evaluate the freshness of eggs. Near-infrared (550~985 nm) transmission spectra expressing the egg internal quality are collected to make non-destructive quantitative analysis. Pretreatment of spectrum is based on Savitzky-Golay spectrum smoothness method and first-order differential. A model is established using synergic-interval partial least square (SI-PLS) method for an appropriate spectral or wavelength range. Effective information of the spectrum, obtained from the principal component analysis of characteristic variables, is input into the back propagation artificial neural network (BP-ANN) to set a nonlinear model. The comparison of the two models shows that the SI-PLS model is better than the BP-ANN model. The results prove that the application of near-infrared transmission spectrum to evaluate egg freshness is feasible.
赵杰文, 毕夏坤, 林颢, 孙力, 管彬彬. 鸡蛋新鲜度的可见近红外透射光谱快速识别[J]. 激光与光电子学进展, 2013, 50(5): 053003. Zhao Jiewen, Bi Xiakun, Lin Hao, Sun Li, Guan Binbin. Visible-Near-Infrared Transmission Spectra for Rapid Analysis of the Freshness of Eggs[J]. Laser & Optoelectronics Progress, 2013, 50(5): 053003.