A Novel Fluorescent/Colorimetric Dual-Signal Intelligent Detecting Platform (F/C-BMIPs) Based on “Borate-Molecular Imprinting” Collaborative Recognition for Visual Quantitative Detection of Rutin in Food Samples

Abstract

Herein, a novel fluorescent/colorimetric dual-signal intelligent detecting platform (F/C-BMIPs) based on ratiometric fluorescence (BA-N-GQDs/rhodamine 6G) and collaborative recognition (borate-MIPs) was developed for on-site visual quantitative detection of rutin (RT) in food samples. Furthermore, the above detection system is transferred to the test strips, and combined with the color recognition ability of smartphones, the portable and user-friendly visualization and quantitative detection of RT (F/C-BMIPs method) is realized. Under optimal conditions, the assay system has a wide linear range of 0.2–10 μM (F-BMIPs)/0.45–10 μM (F/C-BMIPs), and 10–100 μM (F-BMIPs and F/C-BMIPs), a detection limit as low as 0.02 μM (F-BMIPs)/0.056 μM (F/C-BMIPs) (S/N = 3), highly imprinted factor (IF = 5.04), and fast fluorescence response (90 s). In addition, this method was successfully applied to the detection of RT in two real samples (raw buckwheat and Sophora japonica), and the recovery rate was 95.6%–103.5%. Therefore, this study provides a promising strategy for the on-site rapid detection of cis-diol-containing flavonoids in food samples.