The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Epidermal Enzymatic Biosensors for Sweat Vitamin C: Toward Personalized Nutrition
Abstract
Recent advances in wearable sensor technologies offer new opportunities for improving dietary adherence. However, despite their tremendous promise, the potential of wearable chemical sensors for guiding personalized nutrition solutions has not been reported. Herein, we present an epidermal biosensor aimed at following the dynamics of sweat vitamin C after the intake of vitamin C pills and fruit juices. Such skin-worn noninvasive electrochemical detection of sweat vitamin C has been realized by immobilizing the enzyme ascorbate oxidase (AAOx) on flexible printable tattoo electrodes and monitoring changes in the vitamin C level through changes in the reduction current of the oxygen cosubstrate. The flexible vitamin C tattoo patch was fabricated on a polyurethane substrate and combined with a localized iontophoretic sweat stimulation system along with amperometric cathodic detection of the oxygen depletion during the enzymatic reaction. The enzyme biosensor offers a highly selective response compared to the common direct (nonenzymatic) voltammetric measurements, with no effect on electroactive interfering species such as uric acid or acetaminophen. Temporal vitamin C profiles in sweat are demonstrated using different subjects taking varying amounts of commercial vitamin C pills or vitamin C-rich beverages. The dynamic rise and fall of such vitamin C sweat levels is thus demonstrated with no interference from other sweat constituents. Differences in such dynamics among the individual subjects indicate the potential of the epidermal biosensor for personalized nutrition solutions. The flexible tattoo patch displayed mechanical resiliency to multiple stretching and bending deformations. In addition, the AAOx biosensor is shown to be useful as a disposable strip for the rapid in vitro detection of vitamin C in untreated raw saliva and tears following pill or juice intake. These results demonstrate the potential of wearable chemical sensors for noninvasive nutrition status assessments and tracking of nutrient uptake toward detecting and correcting nutritional deficiencies, assessing adherence to vitamin intake, and supporting dietary behavior change.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Wearable biosensors for healthcare monitoring
Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373
Self-citationBariya, M., Nyein, H. Y. Y., & Javey, A. (2018) · Nature Electronics · doi:10.1038/s41928-018-0043-y · Cited by 1,486
Navazesh, M. (1993) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1993.tb18343.x · Cited by 1,449
Wearable and flexible electronics for continuous molecular monitoring
Yang, Y., & Gao, W. (2019) · Chemical Society Reviews · doi:10.1039/c7cs00730b · Cited by 1,315
Vitamin C pharmacokinetics: Implications for oral and intravenous use
Padayatty, S. J., Sun, H., Wang, Y., Riordan, H. D., Hewitt, S. M., Katz, A., Wesley, R. A., & Levine, M. (2004) · Annals of Internal Medicine · doi:10.7326/0003-4819-140-7-200404060-00010 · Cited by 992
Calder, P., Carr, A., Gombart, A., & Eggersdorfer, M. (2020) · Nutrients · doi:10.3390/nu12041181 · Cited by 972
Wearable Devices as Facilitators, Not Drivers, of Health Behavior Change
Patel, M. S., Asch, D. A., & Volpp, K. G. (2015) · JAMA · doi:10.1001/jama.2014.14781 · Cited by 808
Tattoo-Based Noninvasive Glucose Monitoring: A Proof-of-Concept Study
Bandodkar, A. J., Jia, W., Yardımcı, C., Wang, X., Ramirez, J., & Wang, J. (2015) · Analytical Chemistry · doi:10.1021/ac504300n · Cited by 700
Self-citationNoninvasive Alcohol Monitoring Using a Wearable Tattoo-Based Iontophoretic-Biosensing System
Kim, J., Jeerapan, I., Imani, S., Cho, T. N., Bandodkar, A., Cinti, S., Mercier, P. P., & Wang, J. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00356 · Cited by 599
Self-citationIntegrated textile sensor patch for real-time and multiplex sweat analysis
He, W., Wang, C., Wang, H., Jian, M., Lu, W., Liang, X., Zhang, X., Yang, F., & Zhang, Y. (2019) · Science Advances · doi:10.1126/sciadv.aax0649 · Cited by 564
Flagged first, then by citations
Research works printed but not linked: 3
- Dhara, 2019, Review on Nanomaterials-Enabled Electrochemical Sensors for Ascorbic Acid Detection, 113415
- Silencio Barrita, 2013, Antioxidant Role of Ascorbic Acid and His Protective Effects on Chronic Diseases, 10.5772/52181 · DOI
- Jamaati, 2006, Ascorbic acid concentration in plasma and white blood cells of patients with bronchial asthma, Tanaffos, 5, 29
Cited by
Sorted by citations
End-to-end design of wearable sensors
Ates, H. C., Nguyen, P. Q., Gonzalez-Macia, L., Morales-Narváez, E., Güder, F., Collins, J. J., & Dincer, C. (2022) · Nature Reviews Materials · doi:10.1038/s41578-022-00460-x · Cited by 1,306
Wearable and flexible electrochemical sensors for sweat analysis: a review
Gao, F., Liu, C., Zhang, L., Liu, T., Wang, Z., Song, Z., Cai, H., Fang, Z., Chen, J., Wang, J., et al. (2022) · Microsystems & Nanoengineering · doi:10.1038/s41378-022-00443-6 · Cited by 854
Self-citationSkin-Interfaced Wearable Sweat Sensors for Precision Medicine
Min, J., Tu, J., Xu, C., Lukas, H., Shin, S., Yang, Y., Solomon, S. A., Mukasa, D., & Gao, W. F. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00823 · Cited by 752
Vitamin C-Sources, Physiological Role, Kinetics, Deficiency, Use, Toxicity, and Determination
Doseděl, M., Jirkovský, E., Macáková, K., Krčmová, L., Javorská, L., Pourová, J., Mercolini, L., Remião, F., Nováková, L., Mladěnka, P., et al. (2021) · Nutrients · doi:10.3390/nu13020615 · Cited by 553
Hydrogels and Their Role in Biosensing Applications
Herrmann, A., Haag, R., & Schedler, U. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202100062 · Cited by 351
Metadata
- Authors
- Sempionatto, J. R., Khorshed, A. A., Ahmed, A., De Loyola e Silva, A. N., Barfidokht, A., Yin, L., Goud, K. Y., Mohamed, M. A., Bailey, E., May, J., Aebischer, C., Chatelle, C., & Wang, J.
- Affiliations
- University of California San Diego (US)
- University of California , , La Jolla, , ,
- DSM (Switzerland) (CH)
- Corresponding author
- Wang, Joseph
- ORCID
- Venue
- ACS Sensors
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-05-05
- Volume
- 5
- Issue
- 6
- Pages
- 1804-1813
- ISSN
- 2379-3694 (ISSN-L)
- OpenAlex
- W3023922670
- Cited by
- 256
- References
- 37
- Citations by year
- 2026: 24 · 2025: 34 · 2024: 44 · 2023: 56 · 2022: 48 · 2021: 31 · 2020: 19
- FWCI
- 13.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- ACS Sensors (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Higher Education Commision, Pakistan (1-8/HEC/HRD/2018/8205)
- US-UK Fulbright Commission (ay2019-2020)
- Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico (216981/2014-0)
- United States Agency for International Development
- DSM Nutritional Products
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Electrochemical sensors and biosensors
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Keywords
- ascorbate oxidase, personalized nutrition, dietary adherence, nutritional deficiency
- MeSH terms
- Ascorbic Acid, Humans, Nutritional Status, Sweat, Vitamins, Biosensing Techniques
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
