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Spectral interval optimization on rapid determination of prohibited addition in pesticide by ATR‐FTIR
Author(s) -
Li Qianqian,
Huang Yue,
Song Xiangzhong,
Zhang Jixiong,
Min Shungeng
Publication year - 2019
Publication title -
pest management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.296
H-Index - 125
eISSN - 1526-4998
pISSN - 1526-498X
DOI - 10.1002/ps.5295
Subject(s) - fipronil , acetamiprid , pesticide , partial least squares regression , chemistry , biological system , interval (graph theory) , mathematics , environmental science , statistics , imidacloprid , biology , combinatorics , agronomy
Abstract BACKGROUND Acetamiprid, as a low‐toxicity pesticide, has already been extensively used to increase plant production and quality. Although fipronil has been prohibited, it is usually illicitly added to acetamiprid due to its particular insecticidal action and effect, so it is highly desirable to obtain a rapid and effective method to detect its concentration. Mid‐infrared spectroscopy (MIR) combined with two variable selection methods, interval combination optimization (ICO) and interval partial least squares (iPLS), were used to determinate the prohibited addition of fipronil. RESULTS The full spectra for both ICO and iPLS were divided into 40 equal‐width intervals. Consequently, 45 and 135 characteristic variables were extracted from ICO and iPLS to establish the models. Compared with iPLS, the ICO model acquired a more suitable spectral region and as a result gained a higher prediction accuracy. Specifically, the ICO method selected the characteristic wavelengths ascribed to CF and CN (in five‐membered heterocyclics), iPLS chose the intervals associated with CF and SO. CONCLUSION Results revealed that MIR combined with ICO could be efficiently used for rapid identification of illegal addition and had great potential to provide on‐site pesticide quality control. © 2018 Society of Chemical Industry