Open AccessDevelopment of the near infrared spectroscopy model for detecting herbicide concentrations contaminated in water
Author(s) -
Ravipat Lapcharoensuk,
Patthranit Wongpromrat
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/301/1/012069
Subject(s) - atrazine , contamination , environmental chemistry , distilled water , chemistry , fourier transform infrared spectroscopy , spectroscopy , environmental science , analytical chemistry (journal) , chromatography , pesticide , agronomy , optics , ecology , physics , quantum mechanics , biology
This research aims to develop the near infrared spectroscopy (NIR) models for detecting herbicide concentrations contaminated in water. Atrazine, the organochlorine herbicide, solution in the concentration range of 0-15 ppm were prepared in distilled water. Near infrared spectra were scanned by using Fourier transform spectrometer at wavenumbers of 12,500-4,000 cm −1 (800-2, 500 nm). Partial least square regression technique was used to establish the NIR models for detecting herbicide concentrations. The developed models showed high prediction potential of herbicide concentrations contaminated in water with the R 2 of 0.97, RMSEE of 0.899 ppm, bias of -0.0003 ppm and RPD of 5.43. This indicated that these models can apply to analyse contamination of atrazine in the natural water sources.