Rapid and sensitive fluorescence detection of clozapine via g-C3N4 nanosheet-based quenching

Abstract

Clozapine (CLZ), as an efficient atypical antipsychotic drug, faces significant challenges in clinical application, such as a narrow treatment window and huge pharmacokinetic differences between individuals. Therefore, developing sensitive and reliable detection methods for CLZ is crucial for ensuring therapeutic efficacy and reducing medication risks. Strongly blue-fluorescent g-C3N4 nanosheets (g-C3N4Ns) were successfully prepared from bulk g-C3N4 through a two-step process involving protonation and subsequent ultrasonic exfoliation. Leveraging the charge-transfer-induced dynamic quenching of their fluorescence by CLZ, we developed a sensitive analytical method using these nanosheets as a fluorescent probe. The experimental results indicate that this method exhibited a wide linear range (0.02–500 µM) and a low detection limit of 3 nM. When applied to the analysis of bovine serum and clozapine tablets, the spiked recovery rate of CLZ was within the range of 92.0–104.7%, with a relative standard deviation (RSD) of less than 5%, and the results were satisfactory. Moreover, the probe demonstrated excellent selectivity and anti-interference capability against multiple potential interferents. In summary, the g-C3N4Ns fluorescence sensing platform developed herein integrates rapid response, high sensitivity, and excellent reliability and has been successfully applied to CLZ detection in complex matrices. This work establishes a solid foundation for future applications in real human plasma samples and ultimately serves therapeutic drug monitoring (TDM).

Graphical abstract: Rapid and sensitive fluorescence detection of clozapine via g-C3N4 nanosheet-based quenching

Article information

Article type
Paper
Submitted
29 Dec 2025
Accepted
14 Feb 2026
First published
16 Mar 2026

Anal. Methods, 2026, Advance Article

Rapid and sensitive fluorescence detection of clozapine via g-C3N4 nanosheet-based quenching

Y. Zou, Z. Tan, J. Li, A. Peng and J. He, Anal. Methods, 2026, Advance Article , DOI: 10.1039/D5AY02159F

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