摘要
依托本科生科研课堂实验课程研究成果,报告了一种基于波导增强的拉曼探头的食用油检测实验方案。在科研课堂教学研讨过程中,首先对拉曼信号的产生和波导增强的理论模型进行了深入的仿真和分析,然后结合食用油智能分类的具体应用场景,引入了PCA-UVE-ELM算法,实现了对不同拉曼信号的增强和分类,且该算法具有良好的可扩展性。本实验课程还对实验方法、实验步骤进行了改进设计,旨在提高学生的科研兴趣,培养他们的创新思维和钻研精神。
Relying on the research results of the undergraduate scientific research classroom experiment course,an edible oil detection experiment scheme based on waveguide-enhanced Raman probe is reported.In the process of scientific research classroom teaching and discussion,the theoretical model of Raman signal generation and waveguide enhancement was firstly simulated and analyzed in depth.Then combined with the specific application scenario of edible oil intelligent classification,the PCA-UVE-ELM algorithm was introduced to realize the enhancement and classification of different Raman signals,and the algorithm has good scalability.This experimental course also improves the design of experimental methods and experimental procedures,aiming at increasing students’interest in scientific research and cultivating their innovative thinking and research spirit.
作者
余霞
缪亦涵
张栩嘉
张子夫
YU Xia;MIAO Yihan;ZHANG Xujia;ZHANG Zifu(School of Instrumentation and Optoelectronic Engineering,Beihang University,Beijing 100191,China)
出处
《实验技术与管理》
CAS
北大核心
2023年第4期69-74,共6页
Experimental Technology and Management
基金
2021年北京航空航天大学教学改革重点项目“案例式教学法在生物光子学课程中的思路与实践”。
关键词
科研课堂
拉曼光谱技术
波导增强
光谱分析算法
research training courses
Raman spectroscopy technology
waveguide enhancement
spectrum analysis algorithm