4.6 Article

Tuning SLOCK toward Chronic Disease Diagnostics and Management: Label-free Sweat Interleukin-31 Detection

Journal

ACS OMEGA
Volume 6, Issue 31, Pages 20422-20432

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsomega.1c02414

Keywords

-

Ask authors/readers for more resources

The SLOCK platform is an electrochemical sweat-based biosensing platform designed for the diagnosis and management of circadian abnormalities. This study demonstrates the successful tuning of the platform for the detection of the cytokine IL-31, showing good sensitivity and specificity. The results suggest that the SLOCK biosensor can be used for sensitive and noninvasive tracking of IL-31 in order to identify chronic pathophysiologies.
SLOCK (sensor for circadian clock) is an electrochemical sweatbased biosensing platform designed for the diagnosis and management of circadian abnormalities. Previously, the SLOCK platform was designed to detect adrenal steroids, cortisol, and DHEA for tracking the circadian rhythm. This work aims at tuning this SLOCK platform toward the detection of the cytokine, interleukin-31, for building a noninvasive, chronic disease diagnostics and management platform. This research provides a detailed characterization of the sensing surface and immunochemistry. The results show that SLOCK has good sensitivity to IL-31 concentrations in synthetic and human sweat. The limit of detection is 50 and 100 pg/mL for synthetic and human sweat, respectively. The dynamic range of the system is 50-1000 pg/mL, which encompasses the physiological ranges of 150-620 pg/mL. This is the first demonstration of sweat-based, label-free, electrochemical detection of IL-31. In addition to this, the data show good correlation (R-2 > 0.95) for the signal sensitivity to biomarker concentration. Finally, cross-reactivity studies highlight the specificity of SLOCK even in the presence of highly cross-reactive species. Thus, this novel SLOCK biosensor can be successfully used to track IL-31 in a sensitive and noninvasive manner and could be used to identify chronic pathophysiologies present in the body.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available