Literature DB >> 35781957

Label-free plasmonic immunosensor for cortisol detection in a D-shaped optical fiber.

Maria S Soares1, Luís C B Silva2, Miguel Vidal1, Médéric Loyez3, Margarida Facão1, Christophe Caucheteur3, Marcelo E V Segatto2, Florinda M Costa1, Cátia Leitão1, Sónia O Pereira1, Nuno F Santos1, Carlos A F Marques1.   

Abstract

Measuring cortisol levels as a stress biomarker is essential in many medical conditions associated with a high risk of metabolic syndromes such as anxiety and cardiovascular diseases, among others. One technology that has a growing interest in recent years is fiber optic biosensors that enable ultrasensitive cortisol detection. Such interest is allied with progress being achieved in basic interrogation, accuracy improvements, and novel applications. The development of improved cortisol monitoring, with a simplified manufacturing process, high reproducibility, and low cost, are challenges that these sensing mechanisms still face, and for which solutions are still needed. In this paper, a comprehensive characterization of a D-shaped fiber optic immunosensor for cortisol detection based on surface plasmon resonance (SPR) enabled by gold coating is reported. Specifically, the sensor instrumentation and fabrication processes are discussed in detail, and a simulation with its complete mathematical formalism is also presented. Moreover, experimental cortisol detection tests were performed for a detection range of 0.01 to 100 ng/mL, attaining a logarithmic sensitivity of 0.65 ± 0.02 nm/log(ng/mL) with a limit of detection (LOD) of 1.46 ng/mL. Additionally, an investigation of signal processing is also discussed, with the main issues addressed in order to highlight the best way to extract the sensing information from the spectra measured with a D-shaped sensor.
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Entities:  

Year:  2022        PMID: 35781957      PMCID: PMC9208605          DOI: 10.1364/BOE.456253

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.562


  27 in total

1.  Self-noise-filtering phase-sensitive surface plasmon resonance biosensing.

Authors:  Sergiy Patskovsky; Michel Meunier; Paras N Prasad; Andrei V Kabashin
Journal:  Opt Express       Date:  2010-07-05       Impact factor: 3.894

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Authors:  Iddo Heller; Jaan Männik; Serge G Lemay; Cees Dekker
Journal:  Nano Lett       Date:  2009-01       Impact factor: 11.189

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Authors:  H Selye
Journal:  J Neuropsychiatry Clin Neurosci       Date:  1998       Impact factor: 2.198

5.  A motion-tolerant adaptive algorithm for wearable photoplethysmographic biosensors.

Authors:  Rasoul Yousefi; Mehrdad Nourani; Sarah Ostadabbas; Issa Panahi
Journal:  IEEE J Biomed Health Inform       Date:  2014-03       Impact factor: 5.772

6.  Microfluidic immunosensor for rapid and highly-sensitive salivary cortisol quantification.

Authors:  V Pinto; P Sousa; S O Catarino; M Correia-Neves; G Minas
Journal:  Biosens Bioelectron       Date:  2016-11-30       Impact factor: 10.618

7.  Associations of serum cortisol levels, stress perception, and stressful events with suicidal behaviors in patients with depressive disorders.

Authors:  Wonsuk Choi; Hee-Ju Kang; Ju-Wan Kim; Hee Kyung Kim; Ho-Cheol Kang; Ju-Yeon Lee; Sung-Wan Kim; Robert Stewart; Jae-Min Kim
Journal:  J Affect Disord       Date:  2021-10-27       Impact factor: 4.839

8.  Emerging ultra-narrow-band cyan-emitting phosphor for white LEDs with enhanced color rendition.

Authors:  Ming Zhao; Hongxu Liao; Maxim S Molokeev; Yayun Zhou; Qinyuan Zhang; Quanlin Liu; Zhiguo Xia
Journal:  Light Sci Appl       Date:  2019-04-10       Impact factor: 17.782

9.  Cortisol AuPd plasmonic unclad POF biosensor.

Authors:  Cátia Leitão; Arnaldo Leal-Junior; Ana R Almeida; Sónia O Pereira; Florinda M Costa; João L Pinto; C Marques
Journal:  Biotechnol Rep (Amst)       Date:  2021-01-06

Review 10.  Surface Plasmon Resonance Optical Sensor: A Review on Light Source Technology.

Authors:  Briliant Adhi Prabowo; Agnes Purwidyantri; Kou-Chen Liu
Journal:  Biosensors (Basel)       Date:  2018-08-26
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