Noninvasive glucose level determination using diffuse reflectance near infrared spectroscopy and chemometrics analysis based on in vitro sample and human skin

Yatim, Noor Nazurah Mohd; Zain, Zainiharyati Mohd; Jaafar, Mohd Zuli; Yusof, Zalhan Md; Laili, A. R.; Laili, M. H.; Hisham, Mohd Hafizulfika

doi:10.1109/spc.2014.7086225

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…As stated by [24][25][26], diabetes patients are likely to suffer from nerve damage in 50% of cases. Several optical technologies were proposed to develop glucose detectors, including Fourier transform infrared spectroscopy [27], Raman spectroscopy [28], near-infrared spectroscopy [29], reverse iontophoresis [30], and electromagnetic sensing [31]. More work has to be done in this regard.…”

Section: Introductionmentioning

confidence: 99%

Detection of glucose concentration using a surface plasmon resonance biosensor based on barium titanate layers and molybdenum disulphide sheets

Almawgani¹,

Taya²,

Daher³

et al. 2022

Phys. Scr.

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Diabetes is rapidly becoming a serious and life-threatening disease. It affects 415 million persons worldwide and is a leading cause of death among those aged 20 to 59. It is essential to develop a rapid-detection, accurate and sensitive glucose detector. In this work, a biosensor based on surface plasmon resonance (SPR) is proposed theoretically for the detection of glucose concentration. To realize higher sensitivity, the proposed SPR sensor contains a barium titanate layer placed between the metal (Ag) thin film and the molybdenum disulphide layer. Barium titanate material shows notable dielectric properties, such as low loss and a high index of refraction. It is expected to give a large shift in the resonance angle caused by a tiny change in the analyte refractive index. By optimizing the thicknesses of barium titanate and Ag and the number of molybdenum disulphide layers, the proposed biosensor can exhibit an ultra-high sensitivity of 307.36 deg/RIU. The extremely high sensitivity makes the proposed SPR-based biosensor encouraging to be used in many fields of biosensing.

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Section: Introductionmentioning

confidence: 99%

Detection of glucose concentration using a surface plasmon resonance biosensor based on barium titanate layers and molybdenum disulphide sheets

Almawgani¹,

Taya²,

Daher³

et al. 2022

Phys. Scr.

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“…These serve as an excellent alternative to the glucose meter, which involves removing a few drops of blood. These techniques possess specific optical, transdermal, and thermal properties, which aid in non-invasive blood glucose concentration [11][12][13][14][15]. Some of the key advantages of these non-invasive measurement methods include relief from pain, comfort, and the lack of infection due to the absence of finger pricking.…”

Section: Introductionmentioning

confidence: 99%

Non-Invasive Measurement of Glucose Concentration Using Red and Near-Infrared Light-Emitting Diodes

Oh¹,

Kim²,

Noh³

et al. 2021

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Many diabetic mellitus patients envision a non-invasive method of blood glucose measurement since they require periodic monitoring of their blood glucose levels to ensure that it is stable and within the normal range. In this study, we detected glucose concentration using commercial light emitting diodes (LEDs) with a wavelength of 700-1600 nm. Light of long wavelengths (e.g. NIR) infiltrate human skin and reach the blood vessel lining, thereby aiding in the non-invasive measurement of blood glucose concentration. To demonstrate this, the concentration of glucose solutions was measured using red and NIR-LEDs in a non-invasive manner. The sensitivity of glucose detection was greater when light of wavelength below 1000 nm was used, owing to the absorption of wavelengths above 1000 nm by water. Furthermore, we controlled the input current of the red and NIR-LEDs to confirm the light intensity deviation with increasing glucose concentrations and suggested the optimum wavelength of light using this in-vitro system. Among various LEDs, the 700 nm LED showed higher light intensity deviation with change in injection current compared to LEDs with the other wavelengths. In particular, compared to other LEDs, a stark difference was observed in the light intensity of the 700 nm LED while measuring glucose concentrations in the range of 50-100 mg/dl.

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“…NIRS is a simple and reliable technique widely used in various field such as medical [4][5][6][7][8][9][10], food [11][12][13][14][15], agrochemical [12,13,15], and fuel [16]. NIRS measures overtones and combination tones of the fundamental molecular vibrations in especially the asymmetric vibrations and these properties make NIR useful for analyzing in biological system [17].…”

Section: Introductionmentioning

confidence: 99%

“…SG preprocessing method has been used successfully to remove unwanted signal from spectral data and overcome most common issues in raw spectral data from NIR [5,10,14,15] . However, little studies have been conducted to investigate the effect of the preprocessing to the predictive accuracy of predictive models [25].…”

Section: Introductionmentioning

confidence: 99%

Partial Least Square with Savitzky Golay Derivative in Predicting Blood Hemoglobin Using Near Infrared Spectrum

Idrus

Chia

2018

MATEC Web of Conferences

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Abstract. Near infrared spectroscopy (NIRS) is a reliable technique that widely used in medical fields. Partial least square was developed to predict blood hemoglobin concentration using NIRS. The aims of this paper are (i) to develop predictive model for near infrared spectroscopic analysis in blood hemoglobin prediction, (ii) to establish relationship between blood hemoglobin and near infrared spectrum using a predictive model, (iii) to evaluate the predictive accuracy of a predictive model based on root mean squared error (RMSE) and coefficient of determination . Partial least square with first order Savitzky Golay (SG) derivative preprocessing (PLS-SGd1) showed the higher performance of predictions with RMSE = 0.7965 and = 0.9206 in K-fold cross validation. Optimum number of latent variable (LV) and frame length (ƒ) were 32 and 27 nm, respectively. These findings suggest that the relationship between blood hemoglobin and near infrared spectrum is strong, and the partial least square with first order SG derivative is able to predict the blood hemoglobin using near infrared spectral data.

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Noninvasive glucose level determination using diffuse reflectance near infrared spectroscopy and chemometrics analysis based on in vitro sample and human skin

Cited by 10 publications

References 8 publications

Detection of glucose concentration using a surface plasmon resonance biosensor based on barium titanate layers and molybdenum disulphide sheets

Detection of glucose concentration using a surface plasmon resonance biosensor based on barium titanate layers and molybdenum disulphide sheets

Non-Invasive Measurement of Glucose Concentration Using Red and Near-Infrared Light-Emitting Diodes

Partial Least Square with Savitzky Golay Derivative in Predicting Blood Hemoglobin Using Near Infrared Spectrum

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