Molecularly Imprinted Wearable Sensor with Paper Microfluidics for Real-Time Sweat Biomarker Analysis.
Mayank GargHeng GuoEthan MaclamElizabeth ZhanovSathwika SamudralaAnton PavlovMd Saifur RahmanMyeong NamkoongJennette P MorenoLimei TianPublished in: ACS applied materials & interfaces (2024)
The urgent need for real-time and noninvasive monitoring of health-associated biochemical parameters has motivated the development of wearable sweat sensors. Existing electrochemical sensors show promise in real-time analysis of various chemical biomarkers. These sensors often rely on labels and redox probes to generate and amplify the signals for the detection and quantification of analytes with limited sensitivity. In this study, we introduce a molecularly imprinted polymer (MIP)-based biochemical sensor to quantify a molecular biomarker in sweat using electrochemical impedance spectroscopy, which eliminates the need for labels or redox probes. The molecularly imprinted biosensor can achieve sensitive and specific detection of cortisol at concentrations as low as 1 pM, 1000-fold lower than previously reported MIP cortisol sensors. We integrated multimodal electrochemical sensors with an iontophoresis sweat extraction module and paper microfluidics for real-time sweat analysis. Several parameters can be simultaneously quantified, including sweat volume, secretion rate, sodium ion, and cortisol concentration. Paper microfluidic modules not only quantify sweat volume and secretion rate but also facilitate continuous sweat analysis without user intervention. While we focus on cortisol sensing as a proof-of-concept, the molecularly imprinted wearable sensors can be extended to real-time detection of other biochemicals, such as protein biomarkers and therapeutic drugs.
Keyphrases
- molecularly imprinted
- solid phase extraction
- low cost
- label free
- randomized controlled trial
- small molecule
- healthcare
- gold nanoparticles
- public health
- computed tomography
- magnetic resonance imaging
- heavy metals
- magnetic resonance
- particulate matter
- mental health
- artificial intelligence
- high resolution
- risk assessment
- ionic liquid
- deep learning
- circulating tumor cells
- big data
- tandem mass spectrometry
- simultaneous determination
- binding protein
- sensitive detection
- contrast enhanced