The CNT-PDMS composite has been widely adopted in flexible devices due to its high elasticity, piezoresistivity, and biocompatibility. In a wide range of applications, CNT-PDMS composite sensors were used for resistive strain measurement. Accordingly, the percolation threshold 2%~4% of the CNT weight ratio in the CNT-PDMS composite was commonly selected, which is expected to achieve the optimized piezoresistive sensitivity. However, the linear range around the percolation threshold weight ratio (2%~4%) limits its application in a stable output of large strain (>20%). Therefore, comprehensive understanding of the electromechanical, mechanical, and electrical properties for the CNT-PDMS composite with different CNT weight ratios was expected. In this paper, a systematic study was conducted on the piezoresistivity, Young’s modulus, conductivity, impedance, and the cross-section morphology of different CNT weight ratios (1 to 10 wt%) of the CNT-PDMS composite material. It was experimentally observed that the piezo-resistive sensitivity of CNT-PDMS negatively correlated with the increase in the CNT weight ratio. However, the electrical conductivity, Young’s modulus, tensile strength, and the linear range of piezoresistive response of the CNT-PDMS composite positively correlated with the increase in CNT weight ratio. Furthermore, the mechanism of these phenomena was analyzed through the cross-section morphology of the CNT-PDMS composite material by using SEM imaging. From this analysis, a guideline was proposed for large strain (40%) measurement applications (e.g., motion monitoring of the human body of the finger, arm, foot, etc.), the CNT weight ratio 8 wt% was suggested to achieve the best piezoresistive sensitivity in the linear range.

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This paper provides a comprehensive review of the latest research advancements in overcoming the Debye screening effect in field-effect transistor (FET) sensors.

The gut–liver axis plays a crucial role in maintaining metabolic balance and overall human health. It orchestrates various processes, such as blood flow, nutrient transfer, metabolite processing, and immune cell communication between the two organs. Traditional methods, such as animal models and two-dimensional (2D) cell cultures, are insufficient in fully replicating the intricate functions of the gut–liver axis. The emergence of microfluidic technology has revolutionized this field, facilitating the development of organ-on-a-chip (OOC) systems. These systems are capable of mimicking the complex structures and dynamic environments of the gut and liver in vitro and incorporating sensors for real-time monitoring. In this article, we review the latest progress in gut-on-a-chip (GOC) and liver-on-a-chip (LOC) systems, as well as the integrated gut–liver-on-a-chip (GLOC) models. Our focus lies in the simulation of physiological parameters, three-dimensional (3D) structural mimicry, microbiome integration, and multicellular co-culture. All these aspects are essential for constructing accurate in vitro models of the gut and liver. Furthermore, we explore the current applications of OOC technology in the study of the gut and liver, including its use in disease modeling, toxicity testing, and drug screening. Finally, we discuss the challenges that remain and outline potential future directions for advancing GOC and LOC development in vitro.