Visible/near-infrared spectroscopy nondestructive testing method of banana soluble solid content

Abstract

The invention discloses a visible / near-infrared spectroscopy nondestructive testing method of banana soluble solid content. Aiming at a banana sample of which soluble solid content is known, spectralinformation of a surface of the banana sample is acquired through a visible / near-infrared spectrograph, and after spectral representative information of each sample, the spectral information still needs to be pretreated; banana spectral data is introduced into The Unscrambler X 10.1, and pretreatment of the sample spectral data is executed; characteristic wavelength is extracted through a derivative correction method, a multiple linear regression model is established based on the spectral data corresponding to the characteristic wavelength band extracted through first-order differential, a measurement index under the model is recorded, and the finally selected characteristic wavelength band is 1230nm-1440nm; after a mathematical model is built, various indexes are needed for measure and evaluate accuracy, stability and prediction capability of the model. The method provided by the invention can more objectively and accurately realize fast detection of the banana soluble solid content,and consequently can realize fast non-destructive judgement of a banana picking period.

Description

technical field [0001] The invention relates to the technical field of physical parameter testing / measurement, in particular to a visible / near-infrared spectrum non-destructive detection method for soluble solids content in bananas. Background technique [0002] The harvest period of bananas determines the edible quality and processing characteristics of banana fruits, and also affects the storage and transportation characteristics of fruits. At present, the judgment of banana harvesting period mainly relies on the experience of banana farmers, combined with meteorological conditions such as temperature, sunshine, rainfall, and the number of days after full flowering. Affected by climatic conditions and management methods, etc., this prediction method has great uncertainty, and it is difficult to guarantee the consistency of post-harvest banana maturity. Bananas are respiratory climacteric fruits, and a large amount of starch is converted into soluble solids such as glucose...

AI Technical Summary

Problems solved by technology

However, the soluble solid content of different types of fruits varies greatly, and the established discriminant model is not universal

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