相关实验视频

Updated: Sep 13, 2025

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

机器学习辅助的光谱方法用于检测来自Folla Redonda葡萄的Barrantes葡萄中的造

María José Aliaño-González¹, Mercedes Vázquez-Espinosa¹, Ana V González-de-Peredo¹

¹Department of Analytical Chemistry, Faculty of Sciences, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, Agrifood Campus of International Excellence (ceiA3), 11510 Puerto Real, Spain.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

|July 29, 2025

概括

这项研究使用机器学习和光谱学来检测葡萄酒造. 支持矢量机器 (SVM) 在识别Barrantes葡萄酒中的造中实现了100%的准确性.

科学领域:

食品科学与技术食品科学与技术
分析化学分析化学
机器学习应用机器学习应用

背景情况:

来自加利西亚Folla Redonda葡萄的Barrantes葡萄酒,由于其独特的性成分,容易受到改.
保护像Barrantes这样的利基葡萄酒的完整性对农业食品行业至关重要.

研究的目的:

开发和优化机器学习模型,用于检测和量化Barrantes葡萄酒中的造.
为葡萄酒分析整合可见和近红外 (VIS-NIRS) 和富里埃变换红外 (FTIR) 光谱.

主要方法:

应用了先进的机器学习算法,包括支持向量机 (SVM),部分最小平方差异分析 (PLS-DA) 和随机森林 (RF).
使用Vis-NIRS和FTIR光谱法,并采用规范化和衍生变换等预处理技术.
采用回归模型 (SVMRadial) 来预测从10%到60%的伪造水平.

主要成果:

使用Scatter Correction (SNV) 预处理的支持向量机 (SVM) 使用NIRS和FTIR数据实现了100%的精度检测伪造.
回归模型准确地预测了伪造水平,R2>0.95和根平均平方误差 (RMSE) <11.
证明了对葡萄酒质量进行快速,精确和非破坏性分析的潜力.

结论:

这项研究开创了优化机器学习用于葡萄酒改检测的先驱.
开发的方法为农业食品行业的质量控制提供了有价值的工具,特别是对于特种葡萄酒.
强调了将光谱学和机器学习结合起来,以获得强大的分析解决方案的有效性.

关键词:

奸淫的行为奸淫的行为巴兰特斯酒的葡萄酒美国的FTIR是FTIR.福拉·雷登达 (Folla Redonda) 是一个红色的城市.机器学习机器学习在SVM中,SVM是SVM.这是NIRS的副总裁.

更多相关视频

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

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

Published on: June 28, 2016

Author Spotlight: Exploring the Fermentation Microbiome Through Next-Generation Sequencing

Author Spotlight: Exploring the Fermentation Microbiome Through Next-Generation Sequencing

Published on: December 1, 2023

相关概念视频

IR and UV–Vis Spectroscopy of Aldehydes and Ketones

IR and UV–Vis Spectroscopy of Aldehydes and Ketones

Infrared spectroscopy, also known as vibrational spectroscopy, is mainly used to determine the types of bonds and functional groups in molecules. In aldehydes and ketones, the carbonyl (C=O) bond shows an absorption around 1710 cm-1. The C=O bond vibration of an aldehyde occurs at lower frequencies than that of a ketone. In addition to the C=O absorption in an aldehyde, the aldehydic C–H bond also gives two peaks in the 2700–2800 cm-1 range. This absorption, coupled with the...

Spectroscopy of Carboxylic Acid Derivatives

Spectroscopy of Carboxylic Acid Derivatives

Infrared spectroscopy is primarily used to determine the types of bonds and functional groups. In carboxylic acid derivatives, a typical carbonyl bond absorption is observed around 1650–1850 cm−1. For esters, the absorption is recorded at around 1740 cm−1, while acid halides show the absorption at about 1800 cm−1. Another acid derivative, the acid anhydrides, exhibit two carbonyl absorption around 1760 cm−1 and 1820 cm−1, arising from the symmetrical and...