应激激素
计算机科学
注意事项
微控制器
生理应激
唾液
检出限
实时计算
RGB颜色模型
蓝牙
微流控
嵌入式系统
人工智能
深度学习
计算机硬件
可穿戴计算机
医学
生物医学工程
远程病人监护
钥匙(锁)
低功耗蓝牙技术
糖皮质激素
极限(数学)
工作流程
作者
Utkarsha Wankhade,Danish Khan,K.N. Mahule,Manashwi A. Patle,Madhura A. Ambadkar,Isha Wele,Jayu Kalambe,Rajesh S. Pande
出处
期刊:IEEE sensors letters
[Institute of Electrical and Electronics Engineers]
日期:2025-12-17
卷期号:10 (1): 1-4
标识
DOI:10.1109/lsens.2025.3645422
摘要
Cortisol is a key stress hormone that regulates metabolism, immune response and various physiological functions including cardiovascular, respiratory, reproductive and musculoskeletal systems. Imbalances in cortisol levels can lead to severe health complications, emphasizing the need for continuous monitoring. This paper presents a novel, portable sensing platform for affordable and selective cortisol detection in artificial saliva. The system utilizes cost-effective, wax-printed micro-pads on paper-based substrates, forming a compact colorimetric sensor. By leveraging the blue tetrazolium (BT) reagent, it detects cortisol through a distinct and quantifiable color change. A 3D-printed black box serves as a controlled detection chamber, eliminating the need for bulky traditional devices. An ESP32 microcontroller processes data from an RGB sensor, precisely analyzing color changes on reagent-coated micropads for accurate cortisol quantification. A deep learning regression model deployed directly on the microcontroller, enhances detection accuracy by correlating color intensity with cortisol concentration. The detected cortisol levels are displayed on an OLED screen and sent to a smartphone via bluetooth for seamless storage, stress monitoring, and advanced analysis. Additionally, the system securely stores recorded data for long-term reference. Offering rapid detection within 10 minutes, the system achieves a detection limit (LOD) of 1 ng/mL, a wide detection range of 1– 800 ng/mL, and an R2 value of 0.96, ensuring high precision. This innovative, non-invasive, and user-friendly platform provides a reliable solution for stress monitoring and serves as a Point of Care (PoC) compatible sensing platform.
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