光谱学与光谱分析, 2017, 37 (1): 227, 网络出版: 2017-02-09  

基于Slope/Bias算法的相近种类水果模型传递研究

Study on NIR Model Transfer between Similar Kinds of Fruits Based on Slope/Bias Algorithm
作者单位
中国农业大学食品科学与营养工程学院, 北京 100083
摘要
为了提升便携式近红外仪器中单一水果模型应用的广泛性, 创新性的将不同仪器间模型传递的思想应用在不同种类水果间可溶性固形物(soluble solid content, SSC)的模型传递。 基于苹果、 梨、 桃三种水果在SSC含量范围、 果型大小以及果皮厚度等的相近物理化学特性, 提出利用简单的斜率/截距(Slope/Bias)算法对苹果SSC的偏最小二乘(partial least square, PLS)模型进行传递, 仅用少量的梨和桃样品即可将苹果SSC模型应用于其SSC值的预测, 更快捷方便且节约成本。 对于梨样品, 用35个标准样品, 预测集均方根误差(root mean square error of prediction, RMSEP)值由直接预测的1.009 °Brix降为0.565 °Brix; 对于桃样品, 用40个标准样品, RMSEP由直接预测的1.726 °Brix降为0.677 °Brix。 为了验证该模型传递方法的可行性, 通过斜率/截距算法, 采用梨和桃模型对其他两种水果的SSC进行预测, 其中利用建立的梨SSC模型, 经斜率/截距算法模型传递后, 对于苹果样品, 用30个标准样品, RMSEP值达到0.597 °Brix, 对于桃样品, 用40个标准样品, RMSEP值达到0.689 °Brix; 利用建立的桃SSC模型, 经斜率/截距算法模型传递后, 对于苹果样品, 用35个标准样品, RMSEP值达到0.654 °Brix, 对于梨样品, 用30个标准样品, RMSEP值达到0.439 °Brix。 研究结果表明: 斜率/截距(Slope/Bias)方法可用于苹果、 梨、 桃等相近种类水果间的模型传递, 为近红外光谱仪在相似种类物质间的预测提供了新思路。
Abstract
In order to expand the application range of the model for a single kind of fruits in the portable near infrared instrument, this paper comes up with a new method for the soluble solid content (SSC) model transfer between different kinds of fruits. This method is focusing on the idea of model transfer between different instruments. Based on the similar physical and chemical properties of apples, peaches and pears, such as the range of SSC content, fruit size and the thickness of peel, a simple Slope/Bias algorithm is applied to the transfer of apple SSC partial least square (PLS) model. After that, it can be used to predict pear & peach SSC value with very little extra samples. It’s more convenient and costs less by using this method. For pear samples, by using extra 35 standard samples to transfer apple SSC model, RMSEP reduced from 1.009 °Brix to 0.565 °Brix. For peaches, extra 40 standard samples led to a significant reduce of RMSEP from 1.726 °Brix to 0.677 °Brix after model transfer. To validate the feasibility of this model transfer method, both pear and peach SSC models were tested using the same Slope/Bias algorithm model transfer respectively. A pear SSC model was firstly set up and then transferred with Slope/Bias method. Taking 30 standard apples as samples, RMSEP value reached 0.597°Brix, while taking 40 standard peaches as samples, RMSEP value reached 0.689°Brix. The peach SSC model was transferred in the same way. For apples, using 35 standard samples, RMSEP value reached 0.654°Brix, and for pears, using 30 standard samples, RMSEP value reached 0.439°Brix. These results show that slope/bias algorithm can be used to transfer model between similar kinds of fruits such as apples, pears and peaches. The paper provides innovative ideas for the model transfer among similar kinds of materials, so that the portable near infrared instruments can be used more conveniently and widely.

吉纳玉, 李明, 吕文博, 刘然, 张雨颖, 韩东海. 基于Slope/Bias算法的相近种类水果模型传递研究[J]. 光谱学与光谱分析, 2017, 37(1): 227. JI Na-yu, LI Ming, L Wen-bo, LIU Ran, ZHANG Yu-ying, HAN Dong-hai. Study on NIR Model Transfer between Similar Kinds of Fruits Based on Slope/Bias Algorithm[J]. Spectroscopy and Spectral Analysis, 2017, 37(1): 227.

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