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Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes

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Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes. / Kap, Özlem; Kilic, Volkan; Hardy, John; Horzum, Nesrin.

In: Analyst, Vol. 146, No. 9, 07.05.2021, p. 2784-2806.

Research output: Contribution to journalLiterature reviewpeer-review

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Kap, Özlem ; Kilic, Volkan ; Hardy, John ; Horzum, Nesrin. / Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes. In: Analyst. 2021 ; Vol. 146, No. 9. pp. 2784-2806.

Bibtex

@article{5d0e5c2fa1194f0aba0b2f48f41debe7,
title = "Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes",
abstract = "Diabetes is a group of metabolic conditions resulting in high blood sugar levels over prolonged periods that affects hundreds of millions of patients worldwide. Measuring glucose concentration enables patient-specific insulin therapy, and is essential to reduce the severity of the disease, potential complications, and related mortalities. Recent advances and developments in smartphone-based colorimetric glucose detection systems are discussed in this review. The importance of glucose monitoring, data collection, transfer, and analysis, via non-invasive/invasive methods are highlighted. The review also presents the various approaches using 3D-printed materials, screen-printed electrodes, polymer templates, designs allowing multiple glucose analysis, bioanalytes, and/or nanostructures for glucose detection. The positive effects of advances in improving the performance of smartphone-based platforms are introduced, as are future directions and trends in the application of emerging technologies in smartphone-based diagnostics.",
keywords = "Diabetes, sensor",
author = "{\"O}zlem Kap and Volkan Kilic and John Hardy and Nesrin Horzum",
year = "2021",
month = may,
day = "7",
doi = "10.1039/D0AN02031A",
language = "English",
volume = "146",
pages = "2784--2806",
journal = "Analyst",
issn = "1364-5528",
publisher = "Royal Society of Chemistry",
number = "9",

}

RIS

TY - JOUR

T1 - Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes

AU - Kap, Özlem

AU - Kilic, Volkan

AU - Hardy, John

AU - Horzum, Nesrin

PY - 2021/5/7

Y1 - 2021/5/7

N2 - Diabetes is a group of metabolic conditions resulting in high blood sugar levels over prolonged periods that affects hundreds of millions of patients worldwide. Measuring glucose concentration enables patient-specific insulin therapy, and is essential to reduce the severity of the disease, potential complications, and related mortalities. Recent advances and developments in smartphone-based colorimetric glucose detection systems are discussed in this review. The importance of glucose monitoring, data collection, transfer, and analysis, via non-invasive/invasive methods are highlighted. The review also presents the various approaches using 3D-printed materials, screen-printed electrodes, polymer templates, designs allowing multiple glucose analysis, bioanalytes, and/or nanostructures for glucose detection. The positive effects of advances in improving the performance of smartphone-based platforms are introduced, as are future directions and trends in the application of emerging technologies in smartphone-based diagnostics.

AB - Diabetes is a group of metabolic conditions resulting in high blood sugar levels over prolonged periods that affects hundreds of millions of patients worldwide. Measuring glucose concentration enables patient-specific insulin therapy, and is essential to reduce the severity of the disease, potential complications, and related mortalities. Recent advances and developments in smartphone-based colorimetric glucose detection systems are discussed in this review. The importance of glucose monitoring, data collection, transfer, and analysis, via non-invasive/invasive methods are highlighted. The review also presents the various approaches using 3D-printed materials, screen-printed electrodes, polymer templates, designs allowing multiple glucose analysis, bioanalytes, and/or nanostructures for glucose detection. The positive effects of advances in improving the performance of smartphone-based platforms are introduced, as are future directions and trends in the application of emerging technologies in smartphone-based diagnostics.

KW - Diabetes

KW - sensor

U2 - 10.1039/D0AN02031A

DO - 10.1039/D0AN02031A

M3 - Literature review

VL - 146

SP - 2784

EP - 2806

JO - Analyst

JF - Analyst

SN - 1364-5528

IS - 9

ER -