Electrochemical sensing platform based on covalent organic framework materials and gold nanoparticles for high sensitivity determination of theophylline and caffeine

A new covalent organic framework (COF) has been prepared with 1,3,6,8-tetra(4-formyl phenyl) pyrene (TFPPy) and 2,6-diaminopyridine (DP) as building units through a Schiff base reaction by a simple tube oven heating procedure and the structure of the COF has been characterized in detail. The obtained DP-Py COF is employed to fabricate a novel electrochemical sensing platform for sensitive and selective determination of theophylline (TP) and caffeine (CAF) simultaneously through compounding with AuNPs; the peak positions of TP and CAF are 0.95 V and 1.28 V, respectively. The synergistic effect between DP-Py COF and AuNPs effectively enhances the analytical sensitivity for the target analytes. Under the optimized experimental conditions, the electrochemical sensing platform shows a sensitive voltammetric response and wide linear range to both TP and CAF, and the detection limits are 0.19 mu M and 0.076 mu M (S/N =3), respectively. This method has been successfully used for the determination of TP and CAF in compound paracetamol capsules and black tea samples. The recovery and relative standard deviations (RSD) of TP are 99.3 similar to 101% and 97.6 similar to 101% and 1.3 similar to 2.0% and 1.3 similar to 2.1%, respectively, and the recovery and RSD of CAF are 96.1 similar to 102% and 99.4 similar to 104% and 2.8 similar to 3.9% and 1.7 similar to 3.2%, respectively. Compared with traditional detection methods, the constructed sensing platform has better performance and is expected to be widely used also in other real sample analyses.

Automated summary

A novel covalent organic framework was prepared and utilized to fabricate an electrochemical sensing platform with high performance for sensitive and selective detection of theophylline and caffeine simultaneously. The platform showed low detection limits, wide linear ranges, and successful application in real sample analyses.