相关实验视频

Updated: May 13, 2025

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
15:04

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

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使用红外和拉曼光谱分析进行蜂蜜分化,并采用基于机器学习的身份验证模型

Maria David1,2, Camelia Berghian-Grosan1, Dana Alina Magdas1,2

  • 1National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat Street, 400293 Cluj-Napoca, Romania.

Foods (Basel, Switzerland)
|April 15, 2025
PubMed
概括

新的研究使用振动光谱和机器学习来验证蜂蜜品种的真实性. 这种方法可以准确地识别蜂蜜的来源,提高食品安全,打击伪造.

关键词:
红外光谱法 红外光谱法ML分类的分类ML分类的分类拉曼光谱法 拉曼光谱法阿卡西亚蜂蜜认证真实性地理差异化是指地理差异化.蜂蜜成分 蜂蜜成分

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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Raman Spectroscopy: Overview01:20

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Raman Spectroscopy Instrumentation: Overview

A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
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