Sensitivity enhancement in an in-vitro glucose sensor using gold nanoelectrode ensembles

Mandal, Sanghamitra; Marie, Mohammed; Kuchuk, Andrian; Manasreh, M. O.; Benamara, Mourad

doi:10.1007/s10854-016-6207-5

Cited by 11 publications

(8 citation statements)

References 20 publications

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“…Many methods are employed to estimate blood glucose and glycated hemoglobin levels. Over the past few decades, many enzymatic and nonenzymatic electrochemical glucose sensors have also been developed 10 – 15 , but these methods are invasive. In contrast, noninvasive glucose estimation is a comparatively new topic, although some of its implementations using external bodily tissues (skin tissues) and fluids (e.g., saliva and tears) have been reported 16 , 17 .…”

Section: Introductionmentioning

confidence: 99%

Derivation and validation of gray-box models to estimate noninvasive in-vivo percentage glycated hemoglobin using digital volume pulse waveform

Hossain

Gupta

Kwon

et al. 2021

Sci Rep

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Glycated hemoglobin and blood oxygenation are the two most important factors for monitoring a patient’s average blood glucose and blood oxygen levels. Digital volume pulse acquisition is a convenient method, even for a person with no previous training or experience, can be utilized to estimate the two abovementioned physiological parameters. The physiological basis assumptions are utilized to develop two-finger models for estimating the percent glycated hemoglobin and blood oxygenation levels. The first model consists of a blood-vessel-only hypothesis, whereas the second model is based on a whole-finger model system. The two gray-box systems were validated on diabetic and nondiabetic patients. The mean absolute errors for the percent glycated hemoglobin (%HbA1c) and percent oxygen saturation (%SpO2) were 0.375 and 1.676 for the blood-vessel model and 0.271 and 1.395 for the whole-finger model, respectively. The repeatability analysis indicated that these models resulted in a mean percent coefficient of variation (%CV) of 2.08% and 1.74% for %HbA1c and 0.54% and 0.49% for %SpO2 in the respective models. Herein, both models exhibited similar performances (HbA1c estimation Pearson’s R values were 0.92 and 0.96, respectively), despite the model assumptions differing greatly. The bias values in the Bland–Altman analysis for both models were – 0.03 ± 0.458 and – 0.063 ± 0.326 for HbA1c estimation, and 0.178 ± 2.002 and – 0.246 ± 1.69 for SpO2 estimation, respectively. Both models have a very high potential for use in real-world scenarios. The whole-finger model with a lower standard deviation in bias and higher Pearson’s R value performs better in terms of higher precision and accuracy than the blood-vessel model.

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Section: Introductionmentioning

confidence: 99%

Derivation and validation of gray-box models to estimate noninvasive in-vivo percentage glycated hemoglobin using digital volume pulse waveform

Hossain

Gupta

Kwon

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Therefore, frequent glucose monitoring is vital for adjusting treatment and maintaining normal blood glucose levels. Over the past four decades, enzymatic and non-enzymatic electrochemical glucose sensors have emerged as the most investigated device technologies in this area [ 2 , 3 , 4 , 5 , 6 , 7 ]. The glucose monitoring sensors available on the market are mostly electrochemical sensors that are both economical and highly accurate [ 3 , 8 ], but require pricking of finger tissues several times a day to extract capillary blood.…”

Section: Introductionmentioning

confidence: 99%

An In-Vitro Optical Sensor Designed to Estimate Glycated Hemoglobin Levels

Mandal

Manasreh

2018

Sensors

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The purpose of this research was to design an optical sensor for evaluating glycated hemoglobin (HbA1c) percentages in hemoglobin. The A1c sensors available in the market use invasive methods, while our device offers the possibility of non-invasive monitoring of HbA1c levels in diabetic patients. A prototype is assembled using two light emitting diodes with peak emission wavelengths of 535 nm and 593 nm, a photodiode, and a microcontroller. The proposed sensor measures the transmitted intensity in the form of an output voltage. We devise an approach to estimate the percentage of HbA1c in hemoglobin for a given solution. This estimation is based on the relative change in absorbance due to change in path length and molar absorption coefficients of hemoglobin and HbA1c, at the two wavelengths. We calculate the molar absorption coefficient of HbA1c at 535 nm and 593 nm wavelengths using the sensor, which is performed by a multiple variable regression analysis algorithm fed through the microcontroller. Specifically, the sensor output voltage with respect to the sample concentration is fitted to an exponentially decaying equation model. We used a commercial chemical assay called Control FD Glycohemoglobin A1c with known percentage HbA1c levels to verify our device measurements.

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“…The authors employed ZnO nanorods to increase the active reaction area from a two dimensional to a three dimensional area, thus enhancing the electron transfer. The results indicate that the gold nanoelectrode ensemble-based working electrode demonstrates a higher current response and faster response time compared to previously reported enzymatic electrochemical sensors [76].…”

Section: Electrochemical Biosensors For Glucose Detectionmentioning

confidence: 74%

A Review of the Construction of Nano-Hybrids for Electrochemical Biosensing of Glucose

et al. 2019

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Continuous progress in the domain of nano and material science has led to modulation ofthe properties of nanomaterials in a controlled and desired fashion. In this sense, nanomaterials,including carbon-based materials, metals and metal oxides, and composite/hybrid materials haveattracted extensive interest with regard to the construction of electrochemical biosensors. Themodification of a working electrode with a combination of two or three nanomaterials in the formof nano-composite/nano-hybrids has revealed good results with very good reproducibility, stability,and improved sensitivity. This review paper is focused on discussing the possible constructs ofnano-hybrids and their subsequent use in the construction of electrochemical glucose biosensors.

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Sensitivity enhancement in an in-vitro glucose sensor using gold nanoelectrode ensembles

Cited by 11 publications

References 20 publications

Derivation and validation of gray-box models to estimate noninvasive in-vivo percentage glycated hemoglobin using digital volume pulse waveform

Derivation and validation of gray-box models to estimate noninvasive in-vivo percentage glycated hemoglobin using digital volume pulse waveform

An In-Vitro Optical Sensor Designed to Estimate Glycated Hemoglobin Levels

A Review of the Construction of Nano-Hybrids for Electrochemical Biosensing of Glucose

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