MOF-MoS₂ Nanosheets Doped PEDOT:PSS for Organic Electrochemical Transistors in Enhanced Glucose Sensing and Machine Learning-based Concentration Prediction

Abstract Organic electrochemical transistors (OECTs) are regarded as promising platform for chemical and biological sensing due to their biocompatibility, cost-effectiveness and flexibility. However, maintaining long-term stability of OECTs while achieving high sensitivity remains a challenge for their practical applications. One of the main reasons is the relatively low electronic and ionic conductivity of the channel material. Herein, we present a p-type OECT fabricated by incorporating MOF-MoS2 nanosheets into the PEDOT:PSS channel via solution-based processes. The strategy significantly improves the sensitivity of OECT, with the transconductance of device increasing by ~3-fold to 19.34 mS. The higher transconductance is attributed to the hybrid MOF-MoS2 dopant, which not only enhances the electronic conductivity, but also strengthens ion transport and capacitance of the PEDOT:PSS film due to the MOF porous structure. The fabricated OECT demonstrates high selectivity and sensitivity as a glucose biosensor with a detection range from 30 nM to 1 mM in saliva. Finally, we illustrate the merits of integration machine learning algorithms to construct predictive models using the extensive datasets produced by our sensors for both classification and quantification tasks. These findings highlight the great potential of OECTs incorporating MOF-MoS2 in PEDOT:PSS matrix, as a promising candidate for ultra-sensitive biological detections.