https://matjournals.net/pharmacy/index.php/TPNT <p><strong>TPN</strong> is bi-annually peer review Journal. It is with a wide scope in the arena of pharmaceutical sciences covers the topics intended to be of interest to a broad audience of pharmaceutical professionals and ideally placed to serve the needs of their readers. This Journal deals in the field of nanotechnology and cover the topics intended to be of interest to a broad audience of Nanotechnology in pharmacy. This Journal mainly focus on Nanotechnology, Nanomedicine, Pharmaceutical Technology, Pharmaceutics, Drug Processing, Nanotechnological intervention, Nanomaterial.</p> en-US Trends in Pharmaceuticals and Nanotechnology (e-ISSN: 2582-4457) https://matjournals.net/pharmacy/index.php/TPNT/article/view/310 <p><span style="font-style: normal !msorm;"><em>Continuous health monitoring is transforming modern healthcare by enabling early diagnosis, personalized treatment, and preventive care. Among emerging sensing technologies, graphene-based biosensors have attracted significant attention due to their exceptional electrical conductivity, high surface-to-volume ratio, mechanical flexibility, and superior biocompatibility. These properties make graphene an ideal material for developing wearable, non-invasive biosensors capable of detecting biomarkers such as glucose and lactate in sweat or interstitial fluid (ISF). This paper presents a comprehensive system architecture for a graphene-based wearable biosensing platform integrated with low-power electronics and wireless communication for real-time physiological monitoring. The proposed system consists of a graphene functionalized electrochemical sensor patch, an analog front end (AFE) for signal conditioning, a microcontroller unit (MCU) for processing and temperature compensation, and a Bluetooth Low Energy (BLE) module for data transmission to a smartphone application. A detailed literature survey highlights advancements in graphene biosensors while identifying gaps in system integration, long-term stability, and power optimization. The proposed methodology addresses these limitations through modular hardware design and intelligent signal processing. Simulated results based on literature benchmarks demonstrate improvements in sensitivity, signal-to-noise ratio, and detection limits compared to existing wearable biosensors. The study confirms that graphene-based wearable platforms can provide reliable, continuous, and real-time biochemical monitoring, paving the way for next-generation digital healthcare systems.</em></span></p> Geetanjali Yogesh Lubal Copyright (c) 2026 Trends in Pharmaceuticals and Nanotechnology (e-ISSN: 2582-4457) 2026-02-13 2026-02-13 1 10 10.46610/TPNT.2026.v08i01.001