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Abstract: This research work deals with the diphenyl phosphate (DPP) detection in urine samples using a molecularly imprinted polymer (MIP) sensor and a voltammetric electronic tongue (VE-tongue). In this regard, gold nanoparticles (Au-NPs) and titanium dioxide (TiO2) were first designed onto a screen-printed carbon electrode (SPCE). Then, the sensor was fabricated by bulk-polymerizing methacrylic acid in the presence of DPP molecules as template. To achieve a sensor with optimal performance, crucial experimental parameters were well optimized. This sensor exhibits good linearity over a range of 0.1-24.3 ng/mL (R2 = 0.98) as well as high sensitivity (0.141 μA/ng mL-1) and low detection limit (LOD =0.063 ng/mL). Moreover, suitable stability and selectivity were achieved with reproducibility and repeatability reached a RSD of 2.3 and 3.02 %, respectively. For the DPP determination in urine samples from nail polish users, the sensor reveals good results in concordance with spectrophotometry as reference method with a (RSD ≤ 4%). Secondly, qualitative analysis was performed by a VE-tongue combined with chemometrics to classify urine samples of nail polish users. Partial least squares (PLS) method supplied prediction models achieved from the both systems data with a regression coefficient (R = 0.99). Accordingly, the MIP sensor and VE-tongue could be viable electrochemical tools for cosmetic applications
Template and target information: diphenyl phosphate, DPP
Author keywords: molecularly imprinted polymer, Voltammetric electronic tongue, Multivariate data analysis, Diphenyl phosphate, Cosmetic products, Urine analysis