A SERS Rapid Detecting Method for New Coccine Based on the Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution
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Abstract:
Rapid detection methods play a critical role in on-site detection, rapid screening and government supervision in the field of food safety. However, there is a lack of performance evaluation means in current rapid food detection methods, thus, it is urgent to establish a multi-index comprehensive evaluation method. In this study, a functional surface-enhanced Raman scattering (SERS) sensor based on Au/UiO-66(NH2) material was constructed to achieve SERS rapid detection of food colourants. Under the optimal conditions, the intensity of the characteristic Raman peak of new coccine at 1137 cm-1 had a good linear relationship in the concentration range of 1.0~50 mg/L, with R2 as 0.9684 and the detection limit as low as 0.40 mg/L. The Analytic Hierarchy Process (AHP) combined with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to evaluate three detection schemes for new coccine, including rapid detection with SERS sensor, rapid detection box of synthetic colourants and high performance liquid chromatography (HPLC). On the basis of 18 indicators selected from four aspects (adaptability, operability, economy and technology) of the detection methods, the indicator weight was determined by AHP, and then the comprehensive evaluation values of the three detection methods for new coccine (0.66, 0.31 and 0.58, respectively) were calculated through combining with TOPSIS . The results showed that the functional SERS rapid detection method for colourants based on Au/UiO-66 (NH2) material can replace the rapid detection box of synthetic colourants and HPLC method. The SERS detection method in this study provides a new option for rapid screening of illegal added colourants in food.
