Literature DB >> 23294768

Overview of fluorescence glucose sensing: a technology with a bright future.

David C Klonoff1.   

Abstract

Fluorescence represents a promising alternative technology to electrochemistry and spectroscopy for accurate analysis of glucose in diabetes; however, no implanted fluorescence glucose assay is currently commercially available. The method depends on the principle of fluorescence, which is the emission of light by a substance after absorbing light. A fluorophore is a molecule that will absorb energy of a specific wavelength and reemit energy at a different wavelength. A fluorescence glucose-sensing molecule can be constructed to increase or decrease in fluorescence from baseline according to the ambient concentration of glucose. A quantum dot is a semiconductor crystal that can serve as a sensor by fluorescing at a desired wavelength or color, depending on the crystal size and materials used. If receptor molecules for glucose can be adsorbed to single-wall carbon nanotubules, then the resulting binding of glucose to these receptors will alter the nanotubes' fluorescence. Fluorescence glucose sensors can provide a continuous glucose reading by being embedded into removable wire-shaped subcutaneous or intravenous catheters as well as other types of implanted structures, such as capsules, microcapsules, microbeads, nano-optodes, or capillary tubes. Fluorescence glucose-sensing methods, which are under development, offer four potential advantages over commercially used continuous glucose monitoring technologies: (1) greater sensitivity to low concentrations of glucose, (2) the possibility of constructing sensors that operate most accurately in the hypoglycemic range by using binding proteins with disassociation constants in this range, (3) less need to recalibrate in response to local tissue reactions around the sensor, and (4) no need to implant either a transmitter or a power source for wireless communication of glucose data. Fluorescence glucose sensors also have four significant disadvantages compared with commercially used continuous glucose monitoring technologies: (1) a damaging foreign body response; (2) a sensitivity to local pH and/or oxygen, which can affect the dye response; (3) potential toxicity of implanted dyes, especially if the implanted fluorophore cannot be fully removed; and (4) the necessity of always carrying a dedicated light source to interrogate the implanted sensor. Fluorescence sensing is a promising method for measuring glucose continuously, especially in the hypoglycemic range. If currently vexing technical and engineering and biocompatibility problems can be overcome, then this approach could lead to a new family of continuous glucose monitors.
© 2012 Diabetes Technology Society.

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Year:  2012        PMID: 23294768      PMCID: PMC3570863          DOI: 10.1177/193229681200600602

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  43 in total

Review 1.  FLUORESCENCE OF SOLUTIONS: A REVIEW.

Authors:  R T WILLIAMS; J W BRIDGES
Journal:  J Clin Pathol       Date:  1964-07       Impact factor: 3.411

Review 2.  Fluorescence lifetime measurements and biological imaging.

Authors:  Mikhail Y Berezin; Samuel Achilefu
Journal:  Chem Rev       Date:  2010-05-12       Impact factor: 60.622

Review 3.  The fluorescence bioassay platforms on quantum dots nanoparticles.

Authors:  Tiancai Liu; Bisen Liu; Haili Zhang; Ying Wang
Journal:  J Fluoresc       Date:  2005-09       Impact factor: 2.217

4.  Modulation of single-walled carbon nanotube photoluminescence by hydrogel swelling.

Authors:  Paul W Barone; Hyeonseok Yoon; René Ortiz-García; Jingqing Zhang; Jin-Ho Ahn; Jong-Ho Kim; Michael S Strano
Journal:  ACS Nano       Date:  2009-12-22       Impact factor: 15.881

5.  Near-infrared optical sensors based on single-walled carbon nanotubes.

Authors:  Paul W Barone; Seunghyun Baik; Daniel A Heller; Michael S Strano
Journal:  Nat Mater       Date:  2004-12-12       Impact factor: 43.841

6.  Long-term in vivo glucose monitoring using fluorescent hydrogel fibers.

Authors:  Yun Jung Heo; Hideaki Shibata; Teru Okitsu; Tetsuro Kawanishi; Shoji Takeuchi
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-01       Impact factor: 11.205

7.  A fluorescence lifetime-based fibre-optic glucose sensor using glucose/galactose-binding protein.

Authors:  Tania Saxl; Faaizah Khan; Matteo Ferla; David Birch; John Pickup
Journal:  Analyst       Date:  2010-12-17       Impact factor: 4.616

8.  Construction of a panel of glucose indicator proteins for continuous glucose monitoring.

Authors:  Sha Jin; Jithesh V Veetil; Jared R Garrett; Kaiming Ye
Journal:  Biosens Bioelectron       Date:  2011-02-01       Impact factor: 10.618

Review 9.  Electrochemical and optical biosensors based on nanomaterials and nanostructures: a review.

Authors:  Ming Li; Rui Li; Chang Ming Li; Nianqiang Wu
Journal:  Front Biosci (Schol Ed)       Date:  2011-06-01

Review 10.  Quantum dot: magic nanoparticle for imaging, detection and targeting.

Authors:  Younes Ghasemi; Payam Peymani; Saba Afifi
Journal:  Acta Biomed       Date:  2009-08
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  16 in total

1.  Thirty-fifth anniversary of the optical affinity sensor for glucose: a personal retrospective.

Authors:  Jerome S Schultz
Journal:  J Diabetes Sci Technol       Date:  2014-09-30

Review 2.  Managing diabetes with nanomedicine: challenges and opportunities.

Authors:  Omid Veiseh; Benjamin C Tang; Kathryn A Whitehead; Daniel G Anderson; Robert Langer
Journal:  Nat Rev Drug Discov       Date:  2014-11-28       Impact factor: 84.694

Review 3.  High-resolution in vivo optical imaging of stroke injury and repair.

Authors:  Sava Sakadžić; Jonghwan Lee; David A Boas; Cenk Ayata
Journal:  Brain Res       Date:  2015-05-08       Impact factor: 3.252

4.  Multiscattering-enhanced optical biosensor: multiplexed, non-invasive and continuous measurements of cellular processes.

Authors:  Volodymyr B Koman; Christian Santschi; Olivier J F Martin
Journal:  Biomed Opt Express       Date:  2015-06-05       Impact factor: 3.732

Review 5.  Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring.

Authors:  Hee-Jae Jeon; Hyung Shik Kim; Euiheon Chung; Dong Yun Lee
Journal:  Theranostics       Date:  2022-09-07       Impact factor: 11.600

6.  Redundancy in Glucose Sensing: Enhanced Accuracy and Reliability of an Electrochemical Redundant Sensor for Continuous Glucose Monitoring.

Authors:  Amin Sharifi; Andrea Varsavsky; Johanna Ulloa; Jodie C Horsburgh; Sybil A McAuley; Balasubramanian Krishnamurthy; Alicia J Jenkins; Peter G Colman; Glenn M Ward; Richard J MacIsaac; Rajiv Shah; David N O'Neal
Journal:  J Diabetes Sci Technol       Date:  2016-05-03

Review 7.  Nanomedicine-Based Strategies for Diabetes: Diagnostics, Monitoring, and Treatment.

Authors:  Luke R Lemmerman; Devleena Das; Natalia Higuita-Castro; Raghavendra G Mirmira; Daniel Gallego-Perez
Journal:  Trends Endocrinol Metab       Date:  2020-03-04       Impact factor: 12.015

8.  Feasibility of an Orthogonal Redundant Sensor incorporating Optical plus Redundant Electrochemical Glucose Sensing.

Authors:  Sybil A McAuley; Tri T Dang; Jodie C Horsburgh; Anubhuti Bansal; Glenn M Ward; Sarkis Aroyan; Alicia J Jenkins; Richard J MacIsaac; Rajiv V Shah; David N O'Neal
Journal:  J Diabetes Sci Technol       Date:  2016-05-03

Review 9.  Products for Monitoring Glucose Levels in the Human Body With Noninvasive Optical, Noninvasive Fluid Sampling, or Minimally Invasive Technologies.

Authors:  Trisha Shang; Jennifer Y Zhang; Andreas Thomas; Mark A Arnold; Beatrice N Vetter; Lutz Heinemann; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2021-06-13

10.  Enhancing the Long-Term Stability of a Polymer Dot Glucose Transducer by Using an Enzymatic Cascade Reaction System.

Authors:  Kai Sun; Zhaoyang Ding; Jicheng Zhang; Haobin Chen; Yuling Qin; Shihan Xu; Changfeng Wu; Jiangbo Yu; Daniel T Chiu
Journal:  Adv Healthc Mater       Date:  2020-10-23       Impact factor: 9.933

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