从理论到实践:以DFT为指导的拉曼光谱分析和机器学习,用于高精度的农药识别
Yingcheng Xing1, Yuan Gao2, De Zhang3
1College of Optical and Electronic Technology, China Jiliang University, 310018 Hangzhou, China.
Journal of advanced research
|November 22, 2025
概括
拉曼光谱,在理论计算和机器学习的帮助下,准确地识别农药残留物及其同位素. 这项技术为环境和食品安全监测提供了可靠的支持.
科学领域:
- 分析化学 分析化学
- 计算化学的计算化学
- 环境科学 环境科学
背景情况:
- 农药残留物对环境和食品安全构成重大风险.
- 准确高效的检测方法对于应对农药残留的挑战至关重要.
- 拉曼光谱法,在理论计算的支持下,可以提高检测精度.
研究的目的:
- 验证拉曼光谱法用于识别农药及其同位素.
- 为检测农药残留物提供理论和技术基础.
- 探索异构体对光谱特征的影响.
主要方法:
- 密度函数理论 (DFT) 用于计算166种农药的拉曼光谱.
- 对22种异环杀虫剂的拉曼峰和振动模式进行了详细分析.
- 对光谱上的异构体效应 (功能组和链) 的研究.
- 主要成分分析 (PCA) 和t分布式静态邻居嵌入 (t-SNE) 的应用用于农药识别.
主要成果:
- 阐明了各种农药的光谱特征.
- 鉴定出因异构体而导致的光谱变化的规律模式.
- 机器学习算法成功实现了22种农药的准确识别.
- 理论计算提供了对光谱特性和同位素影响的洞察.
结论:
- 拉曼光谱与DFT计算相结合,可提供可靠的农药识别.
- 机器学习算法提高了杀虫剂和异构体检测的准确性.
- 这种综合方法显示了环境和食品安全监督的巨大潜力.
更多相关视频
08:43PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
Published on: May 11, 2017
12.9K
09:51TD-DFT Guided Advanced E-Eye Sensing Technique for On-site Quantification of Fe, Cr, F, and As in the Environmental, Biological, and Food Samples
Published on: September 19, 2025
330
相关概念视频
Raman Spectroscopy: Overview
1.3K
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...
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
1.3K
Raman Spectroscopy Instrumentation: Overview
1.0K
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...
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...
1.0K
