Raman Spectroscopy-Based Sensing of Glycated Hemoglobin: Critical Analysis and Future Outlook

Pandey, Rishikesh

doi:10.14304/surya.jpr.v3n2.2

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…The first detection of HbA1c using surfaceenhanced resonance Raman spectroscopy was carried out in colloidal solutions [11]. Further studies have explored Raman spectroscopy to study HbA1c in vitro, using several enhancing techniques [12][13][14][15]. More recently, Villa-Manríquez et al have shown that Raman spectroscopy and principal component analysis combined with a support vector machine can classify qualitatively glycated hemoglobin levels in vivo [16].…”

mentioning

confidence: 99%

Feasibility of Raman spectroscopy as a potential in vivo tool to screen for pre‐diabetes and diabetes

Guevara

Torres‐Galván

González

et al. 2022

Journal of Biophotonics

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In this article, we investigated the feasibility of using Raman spectroscopy and multivariate analysis method to noninvasively screen for prediabetes and diabetes in vivo. Raman measurements were performed on the skin from 56 patients with diabetes, 19 prediabetic patients and 32 healthy volunteers. These spectra were collected along with reference values provided by the standard glycated hemoglobin (HbA1c) assay. A multiclass principal component analysis and support vector machine (PCA‐SVM) model was created from the labeled Raman spectra and was validated through a two‐layer cross‐validation scheme. Classification accuracy of the model was 94.3% with an area under the receiver operating characteristic curve AUC of 0.76 (0.65–0.84) for the prediabetic group, 0.86 (0.71–0.93) for the diabetic group and 0.97(0.93–0.99) for the control group. Our results suggest the feasibility of using Raman spectroscopy for the classification of prediabetes and diabetes in vivo.

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mentioning

confidence: 99%

Feasibility of Raman spectroscopy as a potential in vivo tool to screen for pre‐diabetes and diabetes

Guevara

Torres‐Galván

González

et al. 2022

Journal of Biophotonics

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“…The scattering is mostly elastic (such as Rayleigh scattering and Mie scattering), with a very small percentage of inelastic including Raman scattering (stokes and anti-stokes). Elastic scattering produces light with the same frequency and wavelength as the incident light, while inelastic scattering generates light with multiple wavelengths and frequencies [99]. Most of the light that is scattered is elastic, and about one in every million scattered photons takes part in inelastic scattering [48,100].…”

Section: Raman Spectroscopymentioning

confidence: 99%

Review of Non-Invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone

Shokrekhodaei

Quinones

2020

Sensors

157

109

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Annual deaths in the U.S. attributed to diabetes are expected to increase from 280,210 in 2015 to 385,840 in 2030. The increase in the number of people affected by diabetes has made it one of the major public health challenges around the world. Better management of diabetes has the potential to decrease yearly medical costs and deaths associated with the disease. Non-invasive methods are in high demand to take the place of the traditional finger prick method as they can facilitate continuous glucose monitoring. Research groups have been trying for decades to develop functional commercial non-invasive glucose measurement devices. The challenges associated with non-invasive glucose monitoring are the many factors that contribute to inaccurate readings. We identify and address the experimental and physiological challenges and provide recommendations to pave the way for a systematic pathway to a solution. We have reviewed and categorized non-invasive glucose measurement methods based on: (1) the intrinsic properties of glucose, (2) blood/tissue properties and (3) breath acetone analysis. This approach highlights potential critical commonalities among the challenges that act as barriers to future progress. The focus here is on the pertinent physiological aspects, remaining challenges, recent advancements and the sensors that have reached acceptable clinical accuracy.

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“…Elevated levels of HbA1c has been indicated as a well-known biomarker for diabetes, and the HbA1c test provides an average blood sugar measurement of the past two to three months by measuring the percentage of blood sugar attached to hemoglobin. 33,34 A recent review has focused on the future outlook of using Raman spectroscopy for sensing HbA1c, 35 and one of the earlier papers to investigate Raman spectroscopy for detection of HbA1c was reported by Barman et al in 2012. 36 More recently, González-Viveros investigated various concentrations of commercial lyophilized HbA1c in distilled water.…”

Section: Monitoring Glycated Hemoglobin Levels For Indicating Diabetesmentioning

confidence: 99%

Vibrational Spectroscopy for Detection of Diabetes: A Review

Ralbovsky

Lednev

2021

Appl Spectrosc

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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, Alzheimerâs disease, and more. T2DM affects 450 million people worldwide and is attributed to causing over 4 million deaths each year. Current methods for detecting diabetes typically involve testing a personâs glycated hemoglobin levels as well as blood sugar levels randomly or after fasting. However, these methods can be problematic due to an individualâs 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-on 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.

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Raman Spectroscopy-Based Sensing of Glycated Hemoglobin: Critical Analysis and Future Outlook

Cited by 5 publications

References 15 publications

Feasibility of Raman spectroscopy as a potential in vivo tool to screen for pre‐diabetes and diabetes

Feasibility of Raman spectroscopy as a potential in vivo tool to screen for pre‐diabetes and diabetes

Review of Non-Invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone

Vibrational Spectroscopy for Detection of Diabetes: A Review

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