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相关概念视频

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
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Raman Spectroscopy Instrumentation: Overview01:26

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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相关实验视频

Updated: Jan 10, 2026

Milk Collection in the Rat Using Capillary Tubes and Estimation of Milk Fat Content by Creamatocrit
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基于使用拉曼光谱的共享编码器特征来识别和量化奶粉改.

Xiangchu Li1, Maoyuan Pang1, Yihua He1

  • 1Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China; Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|November 21, 2025
PubMed
概括

这项研究引入了一种基于拉曼的新方法,它结合了数据驱动的类类类比的软独立建模 (DD-SIMCA) 和多层感知子 (MLP) 来准确检测奶粉改,即使在低度和多种改剂.

关键词:
这就是DD-SIMCA.食品改检测 检测食品改的检测方法奶粉是一种奶粉.多层的感知电子是多层的.拉曼光谱法 拉曼光谱法

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Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach
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Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication
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科学领域:

  • 分析化学 分析化学
  • 频谱学是一种光谱学.
  • 化学测量 化学测量 化学测量

背景情况:

  • 奶粉造对公众健康和食品工业构成重大风险.
  • 目前的检测方法在低度和复杂的杂物混合物中扎.

研究的目的:

  • 开发一种强大而灵敏的方法,用于检测和量化奶粉中的伪造物.
  • 为了应对低度检测和多杂物混合物的挑战.

主要方法:

  • 采用拉曼光谱的两阶段方法.
  • 用数据驱动的软独立类类模拟 (DD-SIMCA) 进行非目标查,用于初始改检测.
  • 多层感知器 (MLP) 具有共享的编码器,用于标记样本中改剂的分类和定量.

主要成果:

  • 在检测伪造时,DD-SIMCA实现了100%的准确性,超过了传统方法.
  • 在分类杂质类型方面,MLP表现出99%的准确性.
  • 马尔普实现了优异的定量预测 (R2P = 0.99,RMSEP < 0.6),超过了SVM,RF和PLSR.

结论:

  • 拟议的DD-SIMCA和MLP联合方法有效地检测了粉末牛奶中低度和多种 adulterant 混合物.
  • 这种方法为快速的现场查提供了实际解决方案,提高了奶粉的安全性和质量控制.