Literature DB >> 27327531

Self-monitoring of tear glucose: the development of a tear based glucose sensor as an alternative to self-monitoring of blood glucose.

Jeffrey T La Belle1, Anngela Adams, Chi-En Lin, Erica Engelschall, Breanna Pratt, Curtiss B Cook.   

Abstract

Tear glucose sensing for diabetes management has long been sought as an alternative to more invasive self-monitoring of blood glucose (SMBG). However, tear glucose sensors were known to have limitations, including correlation issues with blood glucose due to low sample volume, low concentration of glucose in the tear fluid, and evaporation of the tear sample. An engineering design approach to solve these problems led to the development of an integrated device capable of collecting the tear sample from the ocular surface with little to no stress on the eye, with an extremely low limit of detection, broad dynamic range, and rapid detection and analysis of sample. Here we present the development of a prototypical self-monitoring of tear glucose (SMTG) sensor, summarizing bench studies on the enzymes and their specificity, the development of the fluid capture device and its manufacture and performance and results of system testing in an animal study where safety, lag time and tear glucose to blood glucose correlation were assessed.

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Year:  2016        PMID: 27327531     DOI: 10.1039/c6cc03609k

Source DB:  PubMed          Journal:  Chem Commun (Camb)        ISSN: 1359-7345            Impact factor:   6.222


  18 in total

Review 1.  Wireless and battery-free platforms for collection of biosignals.

Authors:  Tucker Stuart; Le Cai; Alex Burton; Philipp Gutruf
Journal:  Biosens Bioelectron       Date:  2021-01-23       Impact factor: 10.618

2.  The Development of a Glucose Dehydrogenase 3D-Printed Glucose Sensor: A Proof-of-Concept Study.

Authors:  Anngela Adams; Aldin Malkoc; Jeffrey T La Belle
Journal:  J Diabetes Sci Technol       Date:  2017-06-21

3.  A Disposable Tear Glucose Biosensor-Part 5: Improvements in Reagents and Tear Sampling Component.

Authors:  Chi En Lin; Yuka Ito; Anna Deng; Jared Johns; Daniel Matloff; Curtiss B Cook; Koji Sode; Jeffrey T La Belle
Journal:  J Diabetes Sci Technol       Date:  2018-04-18

4.  A Distance-Based Microfluidic Paper-Based Biosensor for Glucose Measurements in Tear Range.

Authors:  Samira Allameh; Mohsen Rabbani
Journal:  Appl Biochem Biotechnol       Date:  2022-01-14       Impact factor: 2.926

5.  Glucose-sensitive silicone hydrogel contact lens toward tear glucose monitoring.

Authors:  Ramachandram Badugu; Edward Albert Reece; Joseph R Lakowicz
Journal:  J Biomed Opt       Date:  2018-05       Impact factor: 3.170

Review 6.  A Localized Surface Plasmon Resonance Sensor Using Double-Metal-Complex Nanostructures and a Review of Recent Approaches.

Authors:  Heesang Ahn; Hyerin Song; Jong-Ryul Choi; Kyujung Kim
Journal:  Sensors (Basel)       Date:  2017-12-31       Impact factor: 3.576

7.  Combined Targeted Analysis of Metabolites and Proteins in Tear Fluid With Regard to Clinical Applications.

Authors:  Sascha Dammeier; Peter Martus; Franziska Klose; Michael Seid; Dario Bosch; Janina D'Alvise; Focke Ziemssen; Spyridon Dimopoulos; Marius Ueffing
Journal:  Transl Vis Sci Technol       Date:  2018-12-06       Impact factor: 3.283

8.  Noninvasive Self-diagnostic Device for Tear Collection and Glucose Measurement.

Authors:  Seung Ho Lee; Yong Chan Cho; Young Bin Choy
Journal:  Sci Rep       Date:  2019-03-18       Impact factor: 4.379

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.  Noninvasive Glucose Monitoring with a Contact Lens and Smartphone.

Authors:  You-Rong Lin; Chin-Chi Hung; Hsien-Yi Chiu; Bo-Han Chang; Bor-Ran Li; Sheng-Jen Cheng; Jia-Wei Yang; Shien-Fong Lin; Guan-Yu Chen
Journal:  Sensors (Basel)       Date:  2018-09-22       Impact factor: 3.576

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