Flexible, low volume detection of chronobiology biomarkers from human sweat

Upasham, Sayali; Thai, Kevin; Muthyala, Ritika; Prasad, Shalini

doi:10.1039/c9an01968e

Cited by 29 publications

(44 citation statements)

References 49 publications

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“…This could also be accompanied by charge screening effects observed at the alkaline pH. 35 It can be inferred from these results that using an alternate technique conrms the sensitivity of the system to the NPY concentration in the system. Also, combining the detection immunoreceptors with a nanoporous substrate, the sensing capability is conserved in the presence of pH uctuations.…”

Section: Immunochemistry Characterizationmentioning

confidence: 86%

“…The ratio of change formula is provided in the previous publication. 35 The concentrations tested range from 1 to 500 pg mL À1 prepared in a sweat analogue solution with pH 6. This is to gauge the sensor response in physiologically stable sweat conditions.…”

Section: Immunochemistry Characterizationmentioning

confidence: 99%

“…Sweat analogue used were prepared according to the protocol described in previous publication. 35 Milipore DI water was employed for making dilutions and buffers. Pooled human sweat was purchased from Lee Biosolutions Inc. (St. Louis, MO, USA).…”

Section: Reagents and Materialsmentioning

confidence: 99%

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Development of a flexible, sweat-based neuropeptide Y detection platform

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Section: Immunochemistry Characterizationmentioning

confidence: 86%

Section: Immunochemistry Characterizationmentioning

confidence: 99%

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Development of a flexible, sweat-based neuropeptide Y detection platform

et al. 2020

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“…Similarly, the blood cortisol levels in healthy humans are anywhere between 5 and 25 μg/dl or 140 and 690 nmol/L, 48 whereas sweat cortisol levels lie between 10 and 180 ng/ml or 25 and 450 nmol/L. 49 Tracking these low (low mg/dl or ng/ml) ranges of biomarkers continuously with high precision and accuracy requires sensor devices that perform sensitively but do not compromise on other parameters such as robustness, ability to work with low volumes, quick run time, portability, and noninvasiveness. However, this remains a challenge that needs innovative technological interventions.…”

Section: Discussionmentioning

confidence: 99%

Tracking metabolic responses based on macronutrient consumption: A comprehensive study to continuously monitor and quantify dual markers (cortisol and glucose) in human sweat using WATCH sensor

Pali

Jagannath

Lin

et al. 2021

Bioengineering & Transla Med

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Wearable Awareness Through Continuous Hidrosis (WATCH) sensor is a sweat based monitoring platform that tracks cortisol and glucose for the purpose of understanding metabolic responses related to macronutrient consumption. In this research article, we have demonstrated the ability of tracking these two biomarkers in passive human sweat over a workday period (8 hours) for 10 human subjects in conjunction with their macronutrient consumption. The validation of the WATCH sensor performance was carried out via standard reference methods such as Luminex and ELISA This is a first demonstration of a passive sweat sensing technology that can detect interrelated dual metabolites, cortisol, and glucose, on a single sensing platform. The significance of detecting the two biomarkers simultaneously is that capturing the body's metabolic and endocrinal responses to dietary triggers can lead to improved lifestyle management. For sweat cortisol, we achieved a detection limit of 1ng/mL (range ˷1-12.5 ng/mL) with Pearson's 'r' of 0.897 in reference studies and 0.868 in WATCH studies. Similarly, for sweat glucose, we achieved a detection limit of 1 mg/dL (range ˷ 1-11 mg/dL) with Pearson's 'r' of 0.968 in reference studies and 0.947 in WATCH studies, respectively. The statistical robustness of the WATCH sensor was established through the Bland-Altman analysis, whereby the sweat cortisol and sweat glucose levels are comparable to the standard reference method. The probability distribution (t-test), power analysis (power 0.82 -0.87), α = 0.05. Mean absolute relative difference (MARD) outcome of ˷ 5.10-5.15% further confirmed the statistical robustness of the sweat sensing WATCH device output.

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“…Polypyrrole based gold screen printed electrode (enzyme labelled) TNF-␣, bovine calf serum Potentiometric 10 pg/ml, compared with commercial ELISA [12] Gold interdigitated electrode capacitor arrays TNF-␣, PBS Label-free capacitance measurements 32 pg/ml [13] Affinity based gold electrode functionalized using CMA TNF-␣, artificial saliva, human saliva Chronoamperometry 1 pg/ml [14] Stretchable and disposable 3D micropatterned elastomer-based electrode TNF-␣, human serum Electrochemical (potentiometric and impedimetric) 100 fM [15] Label-free chronobiology tracking system Cortisol, sweat Impedimetric 1 ng/ml [16] MoS2 nanosheet based flexible electrode Cortisol, sweat Impedimetric 1 ng/ml [17] CMA: Carboxymethylaniline; ELISA: Enzyme-linked immunosorbent assay; LOD: Limit of detection; MoS2: Molybdenum disulphide; PBS: Phosphate-buffered saline.…”

Section: Sensor Description Biomarker and Biofluidmentioning

confidence: 99%

Point-of-Use Sweat Biosensor to Track the Endocrine–Inflammation Relationship for Chronic Disease Monitoring

et al. 2020

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Aim: The hypothalamic–pituitary–adrenal axis is involved in maintaining homeostasis by engaging with the parasympathetic nervous system. During the process of disease affliction, this relationship is disturbed and there is an imbalance driven response observed. Materials & methods: By monitoring the two key components involved in these pathways, cortisol and TNF-α, the manifestations of chronic stress on the body’s homeostasis can be evaluated in a comprehensive manner. This work highlights the development of an electrochemical detection system for the two biomarkers through human sweat. Results: Limit of detection and dynamic ranges are 1 ng/ml, 1–200 ng/ml for cortisol and 1 pg/ml, 1–1000 pg/ml for TNF-α. Conclusion: This wearable system is designed to be a point of use, chronic disease self-monitoring and management platform.

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Flexible, low volume detection of chronobiology biomarkers from human sweat

Abstract: The work demonstrates the development of a chronobiology tracking system using an affinity-based electrochemical detection modality. This serpentine electrode based system is non-invasive, label free, and economical enabling passive sweat tracking.

Cited by 29 publications

References 49 publications

Development of a flexible, sweat-based neuropeptide Y detection platform

Development of a flexible, sweat-based neuropeptide Y detection platform

Tracking metabolic responses based on macronutrient consumption: A comprehensive study to continuously monitor and quantify dual markers (cortisol and glucose) in human sweat using WATCH sensor

Point-of-Use Sweat Biosensor to Track the Endocrine–Inflammation Relationship for Chronic Disease Monitoring

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