| Title |
Electrochemical Sensing of Cortisol: A Recent Update
|
|---|---|
| Published in |
Applied Biochemistry and Biotechnology, April 2014
|
| DOI | 10.1007/s12010-014-0894-2 |
| Pubmed ID | |
| Authors |
Aparajita Singh, Ajeet Kaushik, Rajesh Kumar, Madhavan Nair, Shekhar Bhansali |
| Abstract |
Psychological stress caused by everyday lifestyle contributes to health disparities experienced by individuals. It affects many biomarkers, but cortisol - "a steroid hormone" - is known as a potential biomarker for psychological stress detection. Abnormal levels of cortisol are indicative of conditions such as Cushing's syndrome Addison's disease, adrenal insufficiencies and more recently post-traumatic stress disorder (PTSD). Chromatographic techniques, which are traditionally used to detect cortisol, are a complex system requiring multistep extraction/purification. This limits its application for point-of-care (POC) detection of cortisol. However, electrochemical immunosensing of cortisol is a recent advancement towards POC application. This review highlights simple, low-cost, and label-free electrochemical immunosensing platforms which have been developed recently for sensitive and selective detection of cortisol in bio-fluids. Electrochemical detection is utilized for the detection of cortisol using Anti-Cortisol antibodies (Anti-Cab) covalently immobilized on nanostructures, such as self-assembled monolayer (SAM) and polymer composite, for POC integration of sensors. The observed information can be used as a prototype to understand behavioral changes in humans such as farmers and firefighters. Keeping the future directions and challenges in mind, the focus of the BioMEMS and Microsystems Research Group at Florida International University is on development of POC devices for immunosensing, integration of these devices with microfluidics, cross validation with existing technologies, and analysis of real sample. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| Spain | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Unknown | 192 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 23% |
| Researcher | 27 | 14% |
| Student > Bachelor | 26 | 13% |
| Student > Doctoral Student | 12 | 6% |
| Student > Master | 12 | 6% |
| Other | 21 | 11% |
| Unknown | 52 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 37 | 19% |
| Chemistry | 22 | 11% |
| Materials Science | 10 | 5% |
| Medicine and Dentistry | 10 | 5% |
| Psychology | 8 | 4% |
| Other | 44 | 23% |
| Unknown | 63 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 October 2023.
All research outputs
#6,299,448
of 24,784,213 outputs
Outputs from Applied Biochemistry and Biotechnology
#480
of 2,688 outputs
Outputs of similar age
#55,479
of 232,345 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#4
of 42 outputs
Altmetric has tracked 24,784,213 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,688 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 232,345 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.