The DOI matches its Crossref record; 114 of the 115 references it cites were found in a registry or an index.
Recent advances in cortisol sensing technologies for point-of-care application
Abstract
Everyday lifestyle related issues are the main cause of psychological stress, which contributes to health disparities experienced by individuals. Prolonged exposure to stress leads to the activation of signaling pathways from the brain that leads to release of cortisol from the adrenal cortex. Various biomarkers have been affected by psychological stress, but cortisol "a steroid hormone" is known as a potential biomarker for its estimation. Cortisol can also be used as a target analyte marker to determine the effect of exposure such as organophosphates on central nervous system, which alters the endocrine system, leading to imbalance in cortisol secretion. Cortisol secretion of individuals depends on day-night cycle and field environment hence its detection at point-of-care (POC) is deemed essential to provide personalized healthcare. Chromatographic techniques have been traditionally used to detect cortisol. The issues relating to assay formation, system complexity, and multistep extraction/purification limits its application in the field. In order to overcome these issues and to make portable and effective miniaturized platform, various immunoassays sensing strategies are being explored. However, electrochemical immunosensing of cortisol is considered as a recent advancement towards POC application. Highly sensitive, label-free and selective cortisol immunosensor based on microelectrodes are being integrated with the microfluidic system for automated diurnal cortisol monitoring useful for personalized healthcare. Although the reported sensing devices for cortisol detection may have a great scope to improve portability, electronic designing, performance of the integrated sensor, data safety and lifetime for point-of-care applications, This review is an attempt to describe the various cortisol sensing platforms and their potential to be integrated into a wearable system for online and continuous monitoring of cortisol rhythm at POC as a function of one's environment.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In addition, since sweat is not sampled but sensed directly on the skin, the skin topography, skin temperature[ 10 ] and pH[ 11 ] may interfere considerably with the measurement results.”
From MicroSweat: A wearable microfluidic patch for noninvasive and reliable sweat collection enables human stress monitoring (2023) · cites this paper as [11]
In the citing paper
“The vents located on top of the storage chambers are <300 µm in diameter to prevent sweat evaporation (based on the Langmuir's free evaporation equation in vacuum[ 11 , 18 ] (see Section S4, Supporting Information) and help preserve the molecular contents of the sweat in the stored fibers.”
From MicroSweat: A wearable microfluidic patch for noninvasive and reliable sweat collection enables human stress monitoring (2023) · cites this paper as [11]
Citations
Cites
Stress and the brain: from adaptation to disease
de Kloet, E. R., Joëls, M., & Holsboer, F. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1683 · Cited by 4,621
Biosensors: sense and sensibility
Turner, A. P. F. (2013) · Chemical Society Reviews · doi:10.1039/c3cs35528d · Cited by 1,756
Microneedles for transdermal drug delivery
Prausnitz, M. R. (2003) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2003.10.023 · Cited by 1,518
Electrochemical biosensors: Towards point-of-care cancer diagnostics
Wang, J. (2005) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2005.10.027 · Cited by 1,458
Point-of-Care Diagnostics for Global Health
Yager, P., Domingo, G. J., & Gerdes, J. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160524 · Cited by 1,076
Russell, E., Koren, G., Rieder, M., & Van Uum, S. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2011.09.009 · Cited by 1,063
Shankaran, D. R., Gobi, K. V., & Miura, N. (2006) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2006.09.014 · Cited by 603
Kirschbaum, C., Tietze, A., Skoluda, N., & Dettenborn, L. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2008.08.024 · Cited by 584
Measurement of cortisol in human Hair as a biomarker of systemic exposure
Koren, G., Grace Walsh, R. N., Tokmakejian, S., & Uum, S. H. M. V. (2007) · Clinical and investigative medicine · doi:10.25011/cim.v30i5.2894 · Cited by 578
What is stress, and how does it affect reproduction?
Dobson, H., & Smith, R. F. (2000) · Animal Reproduction Science · doi:10.1016/s0378-4320(00)00080-4 · Cited by 549
Flagged first, then by citations
1 of the 115 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Mitchell, 2009, Rapid ultrasensitive measurement of salivary cortisol using nano-linker chemistry coupled with surface plasmon resonance detection, Analyst (Lond.), 134, 380, 10.1039/B817083P · DOI
Cited by
Sorted by citations
Items 301–314 of 314
Microfluidic Point-of-Care Devices
Khare, V., & Parihar, A. (2024) · AAPS introductions in the pharmaceutical sciences · doi:10.1007/978-3-031-60717-2_10
Mismatch negativity in tinnitus patient in relation to cortisol level
Fayed, M. M., Nosair, N. A. E.-A., & Gabr, T. A. (2024) · The Egyptian Journal of Otolaryngology · doi:10.1186/s43163-024-00706-1
Benine, C., Laiche, A., Mansouri, A., & Zoubeidi, D. (2025) · Acta periodica technologica · doi:10.2298/apt241124002b
Wearable resistive graphene-based sensor for human behavioral and mental monitoring
Antonova, I. V., Ivanov, A. I., Buzmakova, A. A., Черкасова, О. П., Shavelkina, M. B., & Nebogatikova, N. A. (2025) · Journal of Materials Chemistry C · doi:10.1039/d5tc00128e
Santos, A. R., Faria, B., Paiva, M. C., Viana, J. C., da Silva, A. F., & Bento, F. (2025) · doi:10.5162/eurosensors2025/tp65
An Electronic Platform for Rapid Detection of Steroids in Clinical Plasma
Guo, B., Lin, F., Liu, Y., Jiang, J., Yuan, B., Huang, T., Lin, Y., Cong, C., Xiong, S., Gao, Z., et al. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3637957
Nanomaterial-Based Point-of-Care Devices: Medicinal Applications
Chokkareddy, R., Adireddy, R., Prasanthi, R., Kabane, B., & Redhi, G. G. (2026) · Nanotechnology in the life sciences · doi:10.1007/978-3-032-08576-4_11
Smart wearable sensing systems mediating the digital monitoring of loneliness – A review
Mexia, N., Molteni, E., Ratcliffe, J., Probst, F., Matcham, F., Rees, J., Sebastien Ourselin, A., Antonelli, M., Tinker, A., Liu, W., et al. (2026) · Materials Today Electronics · doi:10.1016/j.mtelec.2026.100202
Çapan, M. E., Çapan, E. C., ÖNCEL, H. U., Arıcan, E., & Bulut, F. (2026) · Konya Journal of Engineering Sciences · doi:10.36306/konjes.1633932
Özalp, Ö., & Soylak, M. (2026) · Journal of the Indian Chemical Society · doi:10.1016/j.jics.2026.102651
Wang, X., Wang, M., Zhang, W., Yan, D., Kong, L., & Wang, G. (2026) · Talanta · doi:10.1016/j.talanta.2026.130164
Jastrzębski, A., Ożga, K., Łopucki, R., Nowak, S., Mysłajek, R. W., & Sadok, I. (2026) · Molecules · doi:10.3390/molecules31142420
Numerical Analysis of an Optimized SPR Sensor for Stress Hormone Sensing
Tene, T., Mejía, N. A., Araujo, C. E. R., Sakher, E., Doghmane, H. E., Doghmane, N. E. A., & Gómez, C. V. (2026) · Photonics · doi:10.3390/photonics13080737
Halima, H. B., Zine, N., Bausells, J., Errachid, A., & Jaffrezic-Renault, N. J. (2026) · Biosensors · doi:10.3390/bios16100561
Metadata
- Authors
- Kaushik, A., Vasudev, A., Arya, S. K., Pasha, S. K., & Bhansali, S.
- Affiliations
- Florida International University (US)
- Agency for Science, Technology and Research (SG)
- Corresponding author
- Kaushik, Ajeet
- Bhansali, Shekhar
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 53
- Pages
- 499-512
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W2013008702
- Cited by
- 316
- References
- 115
- Citations by year
- 2026: 13 · 2025: 23 · 2024: 30 · 2023: 31 · 2022: 35 · 2021: 33 · 2020: 36 · 2019: 21 · 2018: 24 · 2017: 18 · 2016: 31 · 2015: 12 · 2014: 8
- FWCI
- 1.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biosensors and Bioelectronics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Forensic Sciences Foundation
- National Institute of Mental Health (R44MH085474)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Electrochemical sensors and biosensors
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Physical Sciences › Chemistry › Electrochemistry › Electrochemical Analysis and Applications
- Keywords
- cortisol detection, point-of-care testing, electrochemical immunosensor, microelectrodes, microfluidics, wearable sensors, diurnal cortisol rhythm, organophosphate exposure, personalized healthcare, label-free detection
- MeSH terms
- Humans, Hydrocortisone, Immunoassay, Biosensing Techniques, Point-of-Care Systems, Microfluidics, Precision Medicine
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