Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 75,
  • Issue 8,
  • pp. 929-946
  • (2021)

Vibrational Spectroscopy for Detection of Diabetes: A Review

Not Accessible

Your library or personal account may give you access

Abstract

Type II diabetes mellitus (T2DM) is a metabolic disorder that is characterized by chronically elevated glucose caused by insulin resistance. Although T2DM is manageable through insulin therapy, the disorder itself is a risk factor for much more dangerous diseases including cardiovascular disease, kidney disease, retinopathy, Alzheimer's disease, and more. T2DM affects 450 million people worldwide and is attributed to causing over four million deaths each year. Current methods for detecting diabetes typically involve testing a person's glycated hemoglobin levels as well as blood sugar levels randomly or after fasting. However, these methods can be problematic due to an individual's levels differing on a day-to-day basis or being affected by diet or environment, and due to the lack of sensitivity and reliability within the tests themselves. Vibrational spectroscopic methods have been pursued as a novel method for detecting diabetes accurately and early in a minimally invasive manner. This review summarizes recent research, since 2015, which has used infrared or Raman spectroscopy for the purpose of developing a fast and accurate method for diagnosing diabetes. Based on critical evaluation of the reviewed work, vibrational spectroscopy has the potential to improve and revolutionize the way diabetes is diagnosed, thereby allowing for faster and more effective treatment of the disorder.

© 2021 The Author(s)

PDF Article
More Like This
Exploring in-vivo infrared spectroscopy for nail-based diabetes screening

Daniela Lazaro-Pacheco, Philip F Taday, and Päivi Maria Paldánius
Biomed. Opt. Express 15(3) 1926-1942 (2024)

Use of Raman spectroscopy to screen diabetes mellitus with machine learning tools

Edgar Guevara, Juan Carlos Torres-Galván, Miguel G. Ramírez-Elías, Claudia Luevano-Contreras, and Francisco Javier González
Biomed. Opt. Express 9(10) 4998-5010 (2018)

Infrared spectroscopic imaging detects chemical modifications in liver fibrosis due to diabetes and disease

Hari Sreedhar, Vishal K. Varma, Francesca V. Gambacorta, Grace Guzman, and Michael J. Walsh
Biomed. Opt. Express 7(6) 2419-2424 (2016)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.