journal article·2019-08

Soft, Skin‐Interfaced Microfluidic Systems with Passive Galvanic Stopwatches for Precise Chronometric Sampling of Sweat

Amay J. Bandodkar, Jungil Choi, Stephen P. Lee, William J. Jeang, Prophecy Agyare, Philipp Gutruf, Siqing Wang, Rebecca A. Sponenburg, Jonathan T. Reeder, Stephanie Schon, Tyler R. Ray, Shulin Chen, Sunita Mehta, Savanna Ruiz, John A. Rogers

Advanced Materials· Volume 31· Issue 32
Publisher page

Abstract

Abstract Comprehensive analysis of sweat chemistry provides noninvasive health monitoring capabilities that complement established biophysical measurements such as heart rate, blood oxygenation, and body temperature. Recent developments in skin‐integrated soft microfluidic systems address many challenges associated with standard technologies in sweat collection and analysis. However, recording of time‐dependent variations in sweat composition requires bulky electronic systems and power sources, thereby constraining form factor, cost, and modes of use. Here, presented are unconventional design concepts, materials, and device operation principles that address this challenge. Flexible galvanic cells embedded within skin‐interfaced microfluidics with passive valves serve as sweat‐activated “stopwatches” that record temporal information associated with collection of discrete microliter volumes of sweat. The result allows for precise measurements of dynamic sweat composition fluctuations using in situ or ex situ analytical techniques. Integrated electronics based on near‐field communication (NFC) protocols or docking stations equipped with standard electronic measurement tools provide means for extracting digital timing results from the stopwatches. Human subject studies of time‐stamped sweat samples by in situ colorimetric methods and ex situ techniques based on inductively coupled plasma mass spectroscopy (ICP‐MS) and chlorodimetry illustrate the ability to quantitatively capture time‐dynamic sweat chemistry in scenarios compatible with field use.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Analytical Chemistry and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering Northwestern University Evanston IL 60208 USA

Center for Bio‐Integrated Electronics Simpson Querrey Institute for BioNanotechnology Northwestern University Evanston IL 60208 USA

School of Mechanical Engineering Kookmin University Seoul 02707 Republic of Korea

Epicore Biosystems Inc. Cambridge MA 02139 USA

Department of Neuroscience Northwestern University Evanston IL 60201 USA

Department of Biomedical Engineering University of Arizona Tucson AZ 85721 USA

School of Materials Science and Engineering Tsinghua University Beijing 100084 China

Quantitative Bio‐Element Imaging Center Northwestern University Evanston IL 60208 USA

Department of Mechanical and Process Engineering ETH Zurich CH‐8092 Zurich Switzerland

Department of Mechanical Engineering University of Hawai'i at Mānoa Honolulu HI 96822 USA

Department of Biomedical Engineering Northwestern University Evanston IL 60208 USA

Funding

Air Force Research Laboratory · Northwestern University · Materials Research Science and Engineering Center, Harvard University

References (30)

Show source-provided references
1. 10.1016/j.tiv.2010.06.01610.1016/j.tiv.2010.06.016 ↗
2. 10.1021/acs.chemrev.8b0057310.1021/acs.chemrev.8b00573 ↗
3. 10.1038/s41587-019-0045-y10.1038/s41587-019-0045-y ↗
4. 10.1038/s41928-018-0043-y10.1038/s41928-018-0043-y ↗
5. 10.1016/j.talanta.2017.09.02810.1016/j.talanta.2017.09.028 ↗
6. 10.1093/jat/20.6.39310.1093/jat/20.6.393 ↗
7. 10.1126/scitranslmed.aaf259310.1126/scitranslmed.aaf2593 ↗
8. 10.1002/adhm.20160135510.1002/adhm.201601355 ↗
9. 10.1021/acssensors.8b0121810.1021/acssensors.8b01218 ↗
10. 10.1126/sciadv.aav329410.1126/sciadv.aav3294 ↗
11. 10.1149/2.0031703jes10.1149/2.0031703jes ↗
12. 10.1002/anie.20130292210.1002/anie.201302922 ↗
13. 10.1126/sciadv.aar392110.1126/sciadv.aar3921 ↗
14. 10.1002/smll.20180287610.1002/smll.201802876 ↗
15. 10.1039/C7LC00525C10.1039/C7LC00525C ↗
16. 10.1126/sciadv.aau635610.1126/sciadv.aau6356 ↗
17. 10.1097/j.pain.000000000000096810.1097/j.pain.0000000000000968 ↗
18. 10.2486/indhealth.2014-022510.2486/indhealth.2014-0225 ↗
19. 10.1093/jn/79.4.40710.1093/jn/79.4.407 ↗
20. 10.1123/ijsn.5.s1.s7410.1123/ijsn.5.s1.s74 ↗
21. 10.1046/j.1365-201X.1998.00407.x10.1046/j.1365-201X.1998.00407.x ↗
22. 10.1146/annurev-anchem-061318-11491010.1146/annurev-anchem-061318-114910 ↗
23. 10.1152/japplphysiol.00015.200710.1152/japplphysiol.00015.2007 ↗
24. 10.1203/00006450-196811000-0000410.1203/00006450-196811000-00004 ↗
25. 10.1172/JCI10523310.1172/JCI105233 ↗
26. 10.1152/jappl.1966.21.1.9910.1152/jappl.1966.21.1.99 ↗
27. 10.1123/ijsnem.17.6.57410.1123/ijsnem.17.6.574 ↗
28. 10.1021/acssensors.6b0028710.1021/acssensors.6b00287 ↗
29. 10.1016/j.elecom.2014.11.02410.1016/j.elecom.2014.11.024 ↗
30. 10.1039/C8LC00530C10.1039/C8LC00530C ↗