Multiple kinds of pesticide residue detection using fluorescence spectroscopy combined with partial least-squares models | Zendy

Rendong Ji | Zendy; Shicai Ma | Zendy; Hua Yao | Zendy; Yue Han | Zendy; Xiao Yang | Zendy; Ruiqiang Chen | Zendy; Yinshang Yu | Zendy; Xiaoyan Wang | Zendy; Dongyang Zhang | Zendy; Tiezhu Zhu | Zendy; Haiyi Bian | Zendy

Open Access

Multiple kinds of pesticide residue detection using fluorescence spectroscopy combined with partial least-squares models

Author(s) -

Rendong Ji,

Shicai Ma,

Hua Yao,

Yue Han,

Xiao Yang,

Ruiqiang Chen,

Yinshang Yu,

Xiaoyan Wang,

Dongyang Zhang,

Tiezhu Zhu,

Haiyi Bian

Publication year - 2020

Publication title -

applied optics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.668

H-Index - 197

eISSN - 2155-3165

pISSN - 1559-128X

DOI - 10.1364/ao.382311

Subject(s) - partial least squares regression , fluorescence spectroscopy , spectroscopy , residue (chemistry) , pesticide , paclobutrazol , fluorescence , analytical chemistry (journal) , pesticide residue , chromatography , biological system , chemistry , chemometrics , detection limit , mathematics , optics , physics , statistics , ecology , agronomy , biochemistry , quantum mechanics , biology

Compared with high-performance liquid chromatography and mass spectroscopy, fluorescence spectroscopy has attracted considerable attention in the field of pesticide residue detection due to its practical advantages of providing rapid, simultaneous analysis and non-destructive detection. However, given that the concentration of pesticide residue detected via fluorescence spectroscopy is calculated in accordance with the Beer-Lambert law, this method can only detect samples containing a single kind of pesticide or several kinds of pesticides with completely different fluorescences. Multiple partial least-squares (PLS) models are introduced in this work to overcome this disadvantage and achieve the concentration of zhongshengmycin, paclobutrazol, boscalid, and pyridaben, whose fluorescences are overlapping. The R squares of the models for zhongshengmycin, paclobutrazol, boscalid, and pyridaben were 0.9942, 0.9912, 0.9913, and 0.9847, respectively. Results indicated that fluorescence spectroscopy combined with multiple PLS models can be used to detect multiple kinds of pesticides in the water.

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