Laser induced fluorescence spectrum characteristics of common edible oil and fried cooking oil

Tao Tao Mu, Si Ying Chen*, Yin Chao Zhang, He Chen, Pan Guo, Xian Ying Ge, Li Lei Gao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

In order to detect the trench oil the authors built a trench oil rapid detection system based on laser induced fluorescence detection technology. This system used 355 nm laser as excitation light source. The authors collected the fluorescence spectrum of a variety of edible oil and fried cooking oil (a kind of trench oil) and then set up a fluorescence spectrum database by taking advantage of the trench oil detection system. It was found that the fluorescence characteristics of fried cooking oil and common edible oil were obviously different. Then it could easily realize the oil recognition and trench oil rapid detection by using principal component analysis and BP neural network, and the overall recognition rate could reach as high as 97.5%. Experiments showed that laser induced fluorescence spectrum technology was fast, non-contact, and highly sensitive. Combined with BP neural network, it would become a new technique to detect the trench oil.

Original languageEnglish
Pages (from-to)2448-2450
Number of pages3
JournalGuang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
Volume33
Issue number9
DOIs
Publication statusPublished - Sept 2013

Keywords

  • BP neural network
  • Edible oil
  • Laser induced fluorescence(LIF)
  • Principal component analysis
  • Trench oil

Fingerprint

Dive into the research topics of 'Laser induced fluorescence spectrum characteristics of common edible oil and fried cooking oil'. Together they form a unique fingerprint.

Cite this