Near-infrared universal model detection method for quality indexes of fruits with similar optical and physical properties

Abstract

The invention provides a near-infrared universal model detection method for quality indexes of fruits with similar optical and physical properties. According to the near-infrared universal model detection method, a near-infrared universal model is established; the near-infrared universal model is utilized for determining two parts of fruit quality indexes; the near-infrared universal model is established based on the similarity of near-infrared spectrums between the different types of the fruits based on the similar optical and physical properties. The basic modeling concept is that after the spectrums are collected and are pre-processed, a common characteristic wavelength range of all the types of the fruits is screened by using a moving window partial least square method; common characteristic wavelength points are further extracted in the common characteristic wavelength range by using an SPA (Super Pairwise Alignment) algorithm; finally, a PLS model or an MLR (Multiple Linear Regression) model is established by using existing software. According to the method, the determination accuracy is high and the feasibility is strong; the disadvantages that the different types of the fruits need to be detected by classes in an existing near-infrared detection technology are overcome; the modeling cost is reduced, the working efficiency is improved and the number of the modeling wavelength points is few; the near-infrared universal model detection method is applicable to a common optical filter type near-infrared instrument.

Description

technical field [0001] The invention relates to the technical field of near-infrared non-destructive detection of fruits, in particular to a method for establishing a near-infrared universal model at one time and simultaneously detecting quality indicators of various fruits with similar optical and physical properties, such as sugar index, acidity index or maturity index. Background technique [0002] Near-infrared spectroscopy detection technology has the characteristics of non-destructive, fast, no pre-treatment, and no pollution. It has been widely used in the non-destructive testing of fruit quality indicators. Before conducting non-destructive testing, it is necessary to establish a model for a specific material, and then predict unknown samples. The detection limit is generally 0.1%. For fruits, the spectrum reflects information with high chemical content, such as: water, soluble solids, etc. For fruits with similar physical and chemical characteristics, the near-infra...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a near-infrared general model detection method using quality indicators of fruits with similar optical and physical properties, so as to solve the problem that the existing near-infrared detection technology can only establish a near-infrared model for one type of fruit, and there is no mature multi-variety general model. This leads to the technical problems of high cost of model establishment and maintenance, and relatively low work efficiency; it also solves the problem that existing near-infrared instruments have limited coverage of wavelength points, resulting in limited number of built-in models, limited scope of application, and poor applicability. technical challenge

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