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Rapid and Nondestructive Detection of Pesticide Residues by Depth-Profiling Fourier Transform Infrared Photoacoustic Spectroscopy
Author(s) -
Gaoqiang Lv,
Changwen Du,
Fei Ma,
Yazhen Shen,
Jianmin Zhou
Publication year - 2018
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.8b00339
Subject(s) - photoacoustic spectroscopy , fourier transform infrared spectroscopy , fourier transform spectroscopy , photoacoustic imaging in biomedicine , profiling (computer programming) , fourier transform , infrared , infrared spectroscopy , materials science , spectroscopy , analytical chemistry (journal) , chemistry , optics , environmental chemistry , computer science , mathematics , physics , organic chemistry , mathematical analysis , quantum mechanics , operating system
Detection of pesticide residues is important for ensuring food safety, and it has assumed increased significance. Traditional analytical methods are known for being destructive and cost- and time-intensive. In this study, depth-profiling Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) was successfully used as an in situ, nondestructive, and rapid method for detecting tricyclazole residues on three metal surfaces (copper, aluminum, and iron) and subsequently, on the surfaces of fresh rice leaves and ripe husks. Four moving mirror velocities, that is, 0.32, 0.63, 0.95, and 1.90 cm s -1 were used for recording the spectra. The results indicated that the moving mirror velocity of 0.95 cm s -1 was optimal for depth profiling, and the obtained spectra showed a strong absorption band at around 1200 cm -1 , corresponding to the C-N bond in tricyclazole. This band could be used for monitoring tricyclazole residues on plant surfaces. Principal component analysis confirmed the detection of tricyclazole on the basis of its spectral information. Considering the scanning depth and the thickness of the plant cuticle, FTIR-PAS can be an effective means for detecting and monitoring similar organonitrogen pesticide residues.

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