Noninvasive glucose monitoring using mid-infrared absorption spectroscopy based on a few wavenumbers

Kasahara, Ryosuke; Kino, Saiko; Soyama, Shunsuke; Matsuura, Yuji

doi:10.1364/boe.9.000289

Cited by 100 publications

(68 citation statements)

References 26 publications

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“…One of the MIR measurement advantages is its sensitivity to both organic constituents and mineral components. Previously implemented methods using MIR radiation introduced a strong glucose absorption in this region, which is a crucial factor for the improvement of the measurements sensitivity compared with the NIR region measurements as it will be confirmed in this paper . Also, molecule fundamental vibrations are detected in the MIR region, and also, there is a promising correlation between MIR and NIR …”

Section: Introductionsupporting

confidence: 63%

“…Previously implemented methods using MIR radiation introduced a strong glucose absorption in this region, which is a crucial factor for the improvement of the measurements sensitivity compared with the NIR region measurements as it will be confirmed in this paper. 15 Also, molecule fundamental vibrations are detected in the MIR region, and also, there is a promising correlation between MIR and NIR. 16 Bandpass filtering (BPF) has been introduced as a preprocessing technique in chemometrics for the removal of the variations in the baseline, which occur in low-and high-frequency noise in the spectra components; however, the design of an optimal BPF that solves these problems in raw spectra and the regression model remains a challenge.…”

Section: Introductionmentioning

confidence: 94%

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Digital bandstop filtering in the quantitative analysis of glucose from near‐infrared and midinfrared spectra

Alrezj

Benaïssa

Alshebeili

2019

Journal of Chemometrics

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This work proposes the use of bandstop filtering (BSF) as a pretreatment method in the quantitative analysis of glucose from both near‐infrared (NIR) and midinfrared (MIR) spectra. The proposed method is investigated and evaluated against the traditional bandpass filtering (BPF) and implemented with the linear calibration models principal component regression (PCR) and partial least squares regression (PLSR) to predict the glucose from an aqueous mixture consisting of glucose and human serum albumin dissolved in a phosphate buffer solution. The results obtained show that BSF pretreatment achieves better prediction performance than BPF in both the NIR and MIR spectral regions. For detailed analysis, the BPF and BSF were implemented under both the Butterworth and Chebyshev filter configurations in both bands; in the NIR region, the Butterworth BSF combined with the PLSR model provides the best glucose prediction by reducing the root mean square error of prediction (RMSEP) from 100 mg/dL without filtering to 34 mg/dL with a coefficient of determination R2 of .982. In the MIR region, the Chebyshev BSF combined with either PLSR or PCR improves the glucose prediction by reducing the RMSEP by 54% compared with 45% when using BPF and with R2 of.995.

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Section: Introductionsupporting

confidence: 63%

Section: Introductionmentioning

confidence: 94%

Digital bandstop filtering in the quantitative analysis of glucose from near‐infrared and midinfrared spectra

Alrezj

Benaïssa

Alshebeili

2019

Journal of Chemometrics

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“…5 Mid-IR spectroscopy has been applied for the label-free detection of various biochemical specimens, for example, proteins, 6−10 to study their folding, unfolding, and membrane characteristics. Moreover, mid-IR spectroscopy also holds promise for the clinical and biomedical analysis of human breath 11 and biofluids, 12 such as urine, serum, and blood to diagnose diabetes, 13 cancers, 14 and different viruses. 15 Clinical studies have been conducted for the detection of biomarkers of acute myocardial infarction, such as cardiac troponin T. 16 However, due to the huge spacial difference of the wavelength (several microns) and target molecules (typically on the order of several nanometers), in this particular case 3 orders of magnitude, interactions are weak, and therefore, it is challenging to detect very trace amounts of molecules.…”

Section: ■ Introductionmentioning

confidence: 99%

High Aspect Ratio Plasmonic Nanotrench Structures with Large Active Surface Area for Label-Free Mid-Infrared Molecular Absorption Sensing

Shkondin

Repän

Panah

et al. 2018

ACS Appl. Nano Mater.

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Mid-infrared spectroscopy offers unique sensing schemes to detect target molecules thanks to the absorption of infrared light at specific wavelengths unique to chemical compositions. Due to the mismatch of the mid-infrared light wavelength on the order of micron and nanometer size molecules, the interaction between them is typically weak, resulting in small signatures of absorption. Plasmonics can play an important role, enhancing photon−matter interactions by localization of light in small volumes or areas. Thus, it enables the increase of light absorption by molecules providing higher sensitivity. Here, we demonstrate the enhancement of infrared absorption in plasmonic trench structures that function as hyperbolic metamaterials. The metamaterial is composed of plasmonic trenches made of aluminum-doped zinc oxide. We use a 5 nm thick silica layer as a model analyte conformally coated around the plasmonic trenches, which absorbs light with wavelengths around 8 μm. The enhanced absorption is achieved by the interaction of bulk plasmon modes propagating in the trenches with the analyte silica layer on the pronounced extended surface area of the trench structure. Such plasmonic nanotrench structures may serve as a highly sensitive bio-and chemo-sensing platform for mid-infrared absorption spectroscopy.

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“…We are currently working on experiments with more subjects and further improvements to the shape of the prism. In addition, we are also working on optimizing the selected wavelength by using regression analysis or a neural network to improve accuracy [29] [30].…”

Section: Discussionmentioning

confidence: 99%

Accuracy Improvement of Blood Glucose Measurement System Using Quantum Cascade Lasers

Kõyama¹,

Kino²,

Matsuura³

2019

OPJ

Self Cite

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For non-invasive measurement of blood glucose levels, a measurement system based on mid-infrared, attenuated-total-reflection spectroscopy equipped with hollow optical fibers, a trapezoidal multi-reflection prism, and two fixedwavelength quantum cascade lasers emitting different wavelengths is proposed. From the absorption spectra of lip mucosa measured by Fouriertransform infrared spectrometry, two wavelengths, 1152 cm −1 for absorption by glucose and 1186 cm −1 for the background, were chosen. To reduce measurement errors, the power distribution on the prism surface was investigated, and it was found that some high-intensity spots appear on the prism surface due to the coherency of the laser beam. This inhomogeneous power distribution causes measurement errors for slight movements of the lip mucosa. To homogenize the intensity distribution on the prism, a lens to excite higher modes in the fiber was introduced, and the incident angle was changed to suppress interference due to back-reflected light. These improvements increased the measurement stability, and in-vivo experiments demonstrated that the measured optical absorption correlates well with blood glucose levels.

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Noninvasive glucose monitoring using mid-infrared absorption spectroscopy based on a few wavenumbers

Cited by 100 publications

References 26 publications

Digital bandstop filtering in the quantitative analysis of glucose from near‐infrared and midinfrared spectra

Digital bandstop filtering in the quantitative analysis of glucose from near‐infrared and midinfrared spectra

High Aspect Ratio Plasmonic Nanotrench Structures with Large Active Surface Area for Label-Free Mid-Infrared Molecular Absorption Sensing

Accuracy Improvement of Blood Glucose Measurement System Using Quantum Cascade Lasers

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