Non-destructive detection of heavy metals in vegetable oil based on nano-chemoselective response dye combined with near-infrared spectroscopy

SENSORS AND ACTUATORS B-CHEMICAL

卷:335

Article

Lin, Hao¹  Jiang, Hao¹  He, Peihuan¹  Haruna, Suleiman A.¹  Chen, Quansheng¹  Xue, Zhaoli²  Chan, Chenming²  Ali, Shujat¹ 

[1] Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China

[2] Jiangsu Univ, Sch Chem & Chem Engn, Zhenjiang 212013, Jiangsu, Peoples R China

关键词: Nano-chemoselective response dye;    Near-infrared spectroscopy;    Multivariate analysis;    Corn oil;    Heavy metal;   

DOI  :  10.1016/j.snb.2021.129716

来源: Elsevier

【 摘 要 】

Heavy metal concentrations are one of the major problems bedeviling the market and consumption of edible oil. This study attempts to use near-infrared spectroscopy (NIRS) combined with chemoselective responsive dyes, as capture probes for the quantification of lead (Pb) and mercury (Hg) heavy metals in oils. Olfactory visualization system was used to screen chemoselective responsive dyes. The synthesized porous silica nanospheres (PSNs) were used to further optimize the color sensor and applied based on selected dyes. The spectral data were preprocessed by standard normal variation (SNV), which follows the application of chemometrics like partial least squares (PLS), ant colony optimization-PLS (ACO-PLS), synergy interval partial least squares (SiPLS), genetic algorithm-PLS (GA-PLS), and competitive adaptive reweighted sampling-PLS (CARS-PLS) were applied to construct the regression model. ACO-PLS achieved optimum result, with the R-p(2) value of 0.9612 in the linear range of 0.001 similar to 100ppm, and LOD of <= 1ppb recorded. Verified by the National Standard Detection Method, the effectiveness of this strategy has proven to be satisfactorily accurate. Therefore, the developed method could be used for non-destructive detection of lead and mercury in edible oil.

【 授权许可】

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