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Yang C, Wang Z, Xiao K, Ushakov N, Kumar S, Li X, Min R. Portable optical fiber biosensors integrated with smartphone: technologies, applications, and challenges [Invited]. BIOMEDICAL OPTICS EXPRESS 2024; 15:1630-1650. [PMID: 38495719 PMCID: PMC10942678 DOI: 10.1364/boe.517534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/04/2024] [Accepted: 02/04/2024] [Indexed: 03/19/2024]
Abstract
The increasing demand for individualized health monitoring and diagnostics has prompted considerable research into the integration of portable optical fiber biosensors integrated with smartphones. By capitalizing on the benefits offered by optical fibers, these biosensors enable qualitative and quantitative biosensing across a wide range of applications. The integration of these sensors with smartphones, which possess advanced computational power and versatile sensing capabilities, addresses the increasing need for portable and rapid sensing solutions. This extensive evaluation thoroughly examines the domain of optical fiber biosensors in conjunction with smartphones, including hardware complexities, sensing approaches, and integration methods. Additionally, it explores a wide range of applications, including physiological and chemical biosensing. Furthermore, the review provides an analysis of the challenges that have been identified in this rapidly evolving area of research and concludes with relevant suggestions for the progression of the field.
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Affiliation(s)
- Chengwei Yang
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai 519087, China
| | - Zhuo Wang
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai 519087, China
| | - Kun Xiao
- Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China
| | - Nikolai Ushakov
- Institute of Electronics and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Santosh Kumar
- Department of Electronics and Communication Engineering, K L Deemed to be University, Guntur, Andhra Pradesh 522302, India
| | - Xiaoli Li
- School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China
- Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Guangzhou 510335, China
| | - Rui Min
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai 519087, China
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Calabria D, Lazzarini E, Pace A, Trozzi I, Zangheri M, Cinti S, Difonzo M, Valenti G, Guardigli M, Paolucci F, Mirasoli M. Smartphone-based 3D-printed electrochemiluminescence enzyme biosensor for reagentless glucose quantification in real matrices. Biosens Bioelectron 2023; 227:115146. [PMID: 36821991 DOI: 10.1016/j.bios.2023.115146] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/21/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023]
Abstract
Three-dimensional (3D) printed electrochemical devices are increasingly used in point-of-need and point-of-care testing. They show several advantages such as simple fabrication, low cost, fast response, and excellent selectivity and sensitivity in small sample volumes. However, there are only a few examples of analytical devices combining 3D-printed electrodes with electrochemiluminescence (ECL) detection, an electrochemical detection principle widely employed in clinical chemistry analysis. Herein, a portable, 3D-printed miniaturized ECL biosensor for glucose detection has been developed, based on the luminol/H2O2 ECL system and employing a two-electrode configuration with carbon black-doped polylactic acid (PLA) electrodes. The ECL emission is obtained by means of a 1.5V AA alkaline battery and detected using a smartphone camera, thus providing easy portability of the analytical platform. The ECL system was successfully applied for sensing H2O2 and, upon coupling the luminol/H2O2 system with the enzyme glucose oxidase, for glucose detection. The incorporation of luminol and glucose oxidase in an agarose hydrogel matrix allowed to produce ECL devices preloaded with the reagents required for the assay, so that the analysis only required sample addition. The ECL biosensor showed an excellent ability to detect glucose up to 5 mmol L-1, with a limit of detection of 60 μmol L-1. The biosensor was also used to analyse real samples (i.e., glucose saline solutions and artificial serum samples) with satisfactory results, thus suggesting its suitability for point-of-care analysis. Coupling with other oxidases could further extend the applicability of this analytical platform.
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Affiliation(s)
- Donato Calabria
- Department of Chemistry "Giacomo Ciamician", Alma Mater Studiorum - University of Bologna, Via Selmi 2, I-40126, Bologna, Italy; Interdepartmental Centre for Industrial Aerospace Research (CIRI AEROSPACE), Alma Mater Studiorum-University of Bologna, Via Baldassarre Canaccini 12, I-47121, Forlì, Italy
| | - Elisa Lazzarini
- Department of Chemistry "Giacomo Ciamician", Alma Mater Studiorum - University of Bologna, Via Selmi 2, I-40126, Bologna, Italy
| | - Andrea Pace
- Department of Chemistry "Giacomo Ciamician", Alma Mater Studiorum - University of Bologna, Via Selmi 2, I-40126, Bologna, Italy
| | - Ilaria Trozzi
- Department of Chemistry "Giacomo Ciamician", Alma Mater Studiorum - University of Bologna, Via Selmi 2, I-40126, Bologna, Italy
| | - Martina Zangheri
- Department of Chemistry "Giacomo Ciamician", Alma Mater Studiorum - University of Bologna, Via Selmi 2, I-40126, Bologna, Italy; Interdepartmental Centre for Industrial Agrofood Research (CIRI AGRO), Alma Mater Studiorum - University of Bologna, Via Quinto Bucci 336, I-47521, Cesena, Italy; Interdepartmental Centre for Industrial Research in Advanced Mechanical Engineering Applications and Materials Technology (CIRI MAM), Alma Mater Studiorum-University of Bologna, Viale Risorgimento 2, I-40136, Bologna, Italy
| | - Stefano Cinti
- Department of Pharmacy, University Naples Federico II, Via Domenico Montesano 49, I-80131, Naples, Italy; BAT Center-Interuniversity Center for Studies on Bioinspired Agro-Environmental Technology, University of Napoli "Federico II", 80055, Portici, Naples, Italy
| | - Marinella Difonzo
- Department of Chemistry "Giacomo Ciamician", Alma Mater Studiorum - University of Bologna, Via Selmi 2, I-40126, Bologna, Italy
| | - Giovanni Valenti
- Department of Chemistry "Giacomo Ciamician", Alma Mater Studiorum - University of Bologna, Via Selmi 2, I-40126, Bologna, Italy
| | - Massimo Guardigli
- Department of Chemistry "Giacomo Ciamician", Alma Mater Studiorum - University of Bologna, Via Selmi 2, I-40126, Bologna, Italy; Interdepartmental Centre for Industrial Aerospace Research (CIRI AEROSPACE), Alma Mater Studiorum-University of Bologna, Via Baldassarre Canaccini 12, I-47121, Forlì, Italy; Interdepartmental Centre for Industrial Research in Renewable Resources, Environment, Sea and Energy (CIRI FRAME), Alma Mater Studiorum - University of Bologna, Via Sant'Alberto 163, I-48123, Ravenna, Italy
| | - Francesco Paolucci
- Department of Chemistry "Giacomo Ciamician", Alma Mater Studiorum - University of Bologna, Via Selmi 2, I-40126, Bologna, Italy.
| | - Mara Mirasoli
- Department of Chemistry "Giacomo Ciamician", Alma Mater Studiorum - University of Bologna, Via Selmi 2, I-40126, Bologna, Italy; Interdepartmental Centre for Industrial Aerospace Research (CIRI AEROSPACE), Alma Mater Studiorum-University of Bologna, Via Baldassarre Canaccini 12, I-47121, Forlì, Italy; Interdepartmental Centre for Industrial Research in Renewable Resources, Environment, Sea and Energy (CIRI FRAME), Alma Mater Studiorum - University of Bologna, Via Sant'Alberto 163, I-48123, Ravenna, Italy.
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Leitão C, Pereira SO, Marques C, Cennamo N, Zeni L, Shaimerdenova M, Ayupova T, Tosi D. Cost-Effective Fiber Optic Solutions for Biosensing. BIOSENSORS 2022; 12:575. [PMID: 36004971 PMCID: PMC9405647 DOI: 10.3390/bios12080575] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/22/2022] [Accepted: 07/22/2022] [Indexed: 05/13/2023]
Abstract
In the last years, optical fiber sensors have proven to be a reliable and versatile biosensing tool. Optical fiber biosensors (OFBs) are analytical devices that use optical fibers as transducers, with the advantages of being easily coated and biofunctionalized, allowing the monitorization of all functionalization and detection in real-time, as well as being small in size and geometrically flexible, thus allowing device miniaturization and portability for point-of-care (POC) testing. Knowing the potential of such biosensing tools, this paper reviews the reported OFBs which are, at the moment, the most cost-effective. Different fiber configurations are highlighted, namely, end-face reflected, unclad, D- and U-shaped, tips, ball resonators, tapered, light-diffusing, and specialty fibers. Packaging techniques to enhance OFBs' application in the medical field, namely for implementing in subcutaneous, percutaneous, and endoscopic operations as well as in wearable structures, are presented and discussed. Interrogation approaches of OFBs using smartphones' hardware are a great way to obtain cost-effective sensing approaches. In this review paper, different architectures of such interrogation methods and their respective applications are presented. Finally, the application of OFBs in monitoring three crucial fields of human life and wellbeing are reported: detection of cancer biomarkers, detection of cardiovascular biomarkers, and environmental monitoring.
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Affiliation(s)
- Cátia Leitão
- i3N, Department of Physics, University of Aveiro, 3810-193 Aveiro, Portugal; (S.O.P.); (C.M.)
| | - Sónia O. Pereira
- i3N, Department of Physics, University of Aveiro, 3810-193 Aveiro, Portugal; (S.O.P.); (C.M.)
| | - Carlos Marques
- i3N, Department of Physics, University of Aveiro, 3810-193 Aveiro, Portugal; (S.O.P.); (C.M.)
| | - Nunzio Cennamo
- Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy; (N.C.); (L.Z.)
| | - Luigi Zeni
- Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy; (N.C.); (L.Z.)
| | - Madina Shaimerdenova
- School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan; (M.S.); (T.A.)
| | - Takhmina Ayupova
- School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan; (M.S.); (T.A.)
| | - Daniele Tosi
- School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan; (M.S.); (T.A.)
- Laboratory of Biosensors and Bioinstruments, National Laboratory Astana, Nur-Sultan 010000, Kazakhstan
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