SERS Detection of Benzoic Acid in Milk by Using Ag-COF SERS Substrate

Benzoic acid, which has a pivotal role in food additive, is prohibited to add as a preservative in dairy products. China, Brazil, and other countries have proposed standard methods to detect the addition of benzoic acid in food. Surface-enhanced Raman scattering (SERS) is an upcoming spectral detection technique, which has been widely used in the field of material analysis with the advantages of non-invasive, fast detection speed and complex environment with little interference. To detect the illegal use of benzoic acid in dairy industry, we developed Ag-COF (covalent-organic framework) material as SERS substrate to detect benzoic acid in liquid milk. The great enhancement ability of Ag-COF substrate is controlled by the addition of acetic acid and complex interplay between COF material and benzoic acid. This detection method has high sensitivity and reliability that allows us to achieve limit of detection (LOD) of 0.13 mu g/mL in milk and 0.00372 mu g/mL in water by applying this method. In experiment on recovery rate of real samples, the detection time is less than 15 minutes and the relative standard deviation (RSD) ranged from 2.82% to 5.69%. Therefore, this method has practical significance of the detection of benzoic acid in dairy products. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

A surface-enhanced Raman scattering (SERS) method using Ag-COF material as substrate has been developed for the detection of benzoic acid in milk, showing high sensitivity and reliability. This method provides a new approach for the detection of benzoic acid in dairy products.