Quantitative Analysis of Overnight Waste Oil Adulterated Sunflower Seed Oil Based on Portable Raman Spectroscopy Assisted by One-Dimensional Convolutional Neural Network Algorithm

LU Mingxing; WEI Min; ZHOU Fuxia; HE Chunhua

doi:10.13883/j.issn1004-5929.202502007

The Journal of Light Scattering, Volume. 37, Issue 2, 205(2025)

Quantitative Analysis of Overnight Waste Oil Adulterated Sunflower Seed Oil Based on Portable Raman Spectroscopy Assisted by One-Dimensional Convolutional Neural Network Algorithm

LU Mingxing^1、*, WEI Min¹, ZHOU Fuxia², and HE Chunhua³

Author Affiliations

¹Henan vocational college of nursing, Anyang 455000, China

²College of Information and Management Science, Henan Agricultural University, Zhengzhou 450002, China

³School of Information and Engineering, ZhengZhou University, ZhengZhou 450001, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(0)

Tools

Get Citation

Copy Citation Text

LU Mingxing, WEI Min, ZHOU Fuxia, HE Chunhua. Quantitative Analysis of Overnight Waste Oil Adulterated Sunflower Seed Oil Based on Portable Raman Spectroscopy Assisted by One-Dimensional Convolutional Neural Network Algorithm[J]. The Journal of Light Scattering, 2025, 37(2): 205

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category:

Received: Jul. 4, 2024

Accepted: Jul. 31, 2025

Published Online: Jul. 31, 2025

The Author Email: LU Mingxing (lumingxing1981@126.com)

DOI:10.13883/j.issn1004-5929.202502007

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology