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Updated: May 10, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

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近红外光谱学 蓝的机器学习光谱分析工具 (Vaccinium corymbosum) 种类歧视

Pedro Ribeiro1, Maria Inês Barbosa1, Clara Sousa1

  • 1CBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Rua de Diogo Botelho 1327, 4169-005 Porto, Portugal.

Foods (Basel, Switzerland)
|April 26, 2025
PubMed
概括

近红外光谱学使用叶子光谱准确区分了19种Vaccinium corymbosum蓝品种. 这种方法提供了一种精确的替代品,用于品种识别的果检查.

关键词:
蓝 蓝 蓝是一种种植种子种植种子红外光谱学 红外光谱学机器学习是机器学习.分类学 分类学.接种疫苗 (Vaccinium) 是一种疫苗.

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RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols11:37

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Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
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Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
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