Abstract

INNOVATIVE TECHNIQUE FOR THE CORTISOL DETECTION METHODS IN A SWEAT TO REPLACE THE ANALYTICAL METHODS USING RED CABBAGE

M. Sugashini*, Dr. S. Parthasarathi, Dr. K. Rithika, C. Abisurya, S. Vignesh, M. Gurumoorthi

Abstract

Cortisol, a major stress hormone, is widely recognized as a key biomarker for both physical and mental stress. Traditional methods for detecting cortisol-such as ELISA, HPLC, and mass spectrometry-offer high accuracy but are often expensive, time-consuming, and require sophisticated laboratory settings. To address these limitations, this study introduces a novel, non-invasive, and eco-friendly colorimetric patch designed to detect cortisol levels in human sweat. The patch is built using a gelatin/PVA-based hydrogel matrix combined with glycerol for flexibility and infused with anthocyanins extracted from red cabbage, a natural pigment known for its pH sensitivity. As cortisol influences sweat pH, the patch changes color in response to varying cortisol concentrations: violet for low, pink for moderate, and red for high levels. This visible color shift occurs within 10–20 minutes of skin contact, allowing for quick and easy stress detection without the need for complex instruments. Tests using artificial sweat demonstrated a clear, consistent, and rapid color response across a cortisol range of 50 to over 400 ng/mL. Offering a portable and affordable alternative to conventional lab methods, this patch holds significant promise for real-time stress monitoring, remote diagnostics, and wearable health tech. By integrating natural dyes with simple biopolymer systems, the study promotes a sustainable and accessible approach to cortisol sensing for both clinical and non-clinical applications.

Keywords: Colorimetric patch, Anthocyanins, red cabbage, sweat, stress.