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Updated: Jan 6, 2026

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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近红外光谱学预测木中的干物质和粉含量,使用优化的校准模型

Paulo Henrique Ramos Guimarães1, Massaine Bandeira E Sousa1, Marcos de Souza Campos1

  • 1Embrapa Mandioca e Fruticultura, Cruz das Almas, Bahia, Brazil.

Journal of food science
|November 22, 2025
PubMed
概括

近红外 (NIR) 光谱模型准确地预测了麻的干物质和粉含量. 经过处理的样本和便携式设备为作物育种中的高通量表型化提供了实用,可扩展的解决方案.

关键词:
农作物建模作物的模型.高通量表型化 (high-throughput phenotyping) 是一种高通量的表型化.根源质量特征 根源质量特征选择的选择选择的选择.频谱数据分析数据分析.

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