Constrained regularization for noninvasive glucose sensing using Raman spectroscopy

Shih, Wei-Chuan

doi:10.1142/s1793545815500224

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…Among the distinct optical techniques used in glucose measurement, Raman spectroscopy is one of the most promising optical approaches [16,20]. Raman scattering offers molecular “fingerprinting” capability as a result of the inelastic interactions between the incident photons and molecular vibrations [21]. Raman spectroscopy has several advantages, including the following: without destruction to the sample, capability for qualitative measurements, excellent chemical stability, ability to obtain molecular structure information with high spatial resolution; and Raman spectroscopy does not require reagents or separation [16,22].…”

Section: Introductionmentioning

confidence: 99%

A Noninvasive Accurate Measurement of Blood Glucose Levels with Raman Spectroscopy of Blood in Microvessels

Zang

Sun

et al. 2019

Molecules

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Raman spectra of human skin obtained by laser excitation have been used to non-invasively detect blood glucose. In previous reports, however, Raman spectra thus obtained were mainly derived from the epidermis and interstitial fluid as a result of the shallow penetration depth of lasers in skin. The physiological process by which glucose in microvessels penetrates into the interstitial fluid introduces a time delay, which inevitably introduces errors in transcutaneous measurements of blood glucose. We focused the laser directly on the microvessels in the superficial layer of the human nailfold, and acquired Raman spectra with multiple characteristic peaks of blood, which indicated that the spectra obtained predominantly originated from blood. Incorporating a multivariate approach combining principal component analysis (PCA) and back propagation artificial neural network (BP-ANN), we performed noninvasive blood glucose measurements on 12 randomly selected volunteers, respectively. The mean prediction performance of the 12 volunteers was obtained as an RMSEP of 0.45 mmol/L and R2 of 0.95. It was no time lag between the predicted blood glucose and the actual blood glucose in the oral glucose tolerance test (OGTT). We also applied the procedure to data from all 12 volunteers regarded as one set, and the total predicted performance was obtained with an RMSEP of 0.27 mmol/L and an R2 of 0.98, which is better than that of the individual model for each volunteer. This suggested that anatomical differences between volunteer fingernails do not reduce the prediction accuracy and 100% of the predicted glucose concentrations fall within Region A and B of the Clarke error grid, allowing acceptable predictions in a clinically relevant range. The Raman spectroscopy detection of blood glucose from microvessels is of great significance of non-invasive blood glucose detection of Raman spectroscopy. This innovative method may also facilitate non-invasive detection of other blood components.

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Section: Introductionmentioning

confidence: 99%

A Noninvasive Accurate Measurement of Blood Glucose Levels with Raman Spectroscopy of Blood in Microvessels

Zang

Sun

et al. 2019

Molecules

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“…Chemometrics (multivariate analysis) allows us to analyze these complex data. The main multivariate analysis methods are partial least-squares (PLS), principal component analysis (PCA), partial least-squares discriminant analysis (PLS-DA), and constrained regularization (CR) [ 19 ]. Compared to other methods, partial least-squares (PLS) is a multivariate data analysis method based on principal component analysis and principal component regression.…”

Section: Introductionmentioning

confidence: 99%

Application of Transmission Raman Spectroscopy in Combination with Partial Least-Squares (PLS) for the Fast Quantification of Paracetamol

et al. 2022

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In recent years, transmission Raman spectroscopy (TRS) has emerged as a potent new tool for rapid, nondestructive quantitation in pharmaceutical manufacturing. In order to expand the applicability of TRS and enhance its use in product quality monitoring during drug production, we aimed, in the present study, to apply partial least-squares (PLS) approaches to build a model consisting of 150 handmade tablets and covering 15 levels through the use of a multifactor orthogonal design of experiment (DOE), which was used to predict concentrations of validation tablets made by hand. The difference between results according to HPLC and TRS were negligible. The model was used to predict the active pharmaceutical ingredient (API) content in four random commercial paracetamol tablets, and corrected with the spectra of the commercial tablets to obtain four corresponding models. The results show that the content relative error in the model’s predictions after correction with commercially available tablets was significantly lower than that before correction. The corrected model was used to make predictions for 20 tablets from the brand Panadol. Compared with the HPLC results, the prediction relative error was basically less than 4.00%, and the relative standard deviation (RSD) of the content was 0.86%.

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“…Raman spectroscopy has been explored as a diagnostic and/or monitoring tool for different cancers , diabetes , cardiovascular diseases , cell and particle analysis and other clinical indications. Optical biomarkers for glomerular diseases have been explored with the labeling of injured glomeruli with human monoclonal antibody F1.1 , however, the direct analysis of tissue constituents using quantitative or semi‐quantitative Raman spectroscopy provides a methodology for non‐invasive and label‐free detection and evaluation of disease progression.…”

Section: Introductionmentioning

confidence: 99%

Raman spectroscopy as a diagnostic tool for monitoring acute nephritis

Li¹,

Du²,

Qi³

et al. 2015

J. Biophoton

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Both acute nephritis and chronic nephritis account for substantial morbidity and mortality worldwide, partly due to the lack of reliable tools for detecting disease early and monitoring its progression non-invasively. In this work, Raman spectroscopy coupled with multivariate analysis are employed for the first time to study the accelerated progression of nephritis in anti-GBM mouse model. Preliminary results show up to 98% discriminant accuracy for the severe and midly diseased and the healthy among two strains of mice with different susceptibility to acute glomerulonephritis. This technique has the potential for non-invasive or minimally-invasive early diagnosis, prognosis, and monitoring of renal disease progression.

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Constrained regularization for noninvasive glucose sensing using Raman spectroscopy

Cited by 5 publications

References 24 publications

A Noninvasive Accurate Measurement of Blood Glucose Levels with Raman Spectroscopy of Blood in Microvessels

A Noninvasive Accurate Measurement of Blood Glucose Levels with Raman Spectroscopy of Blood in Microvessels

Application of Transmission Raman Spectroscopy in Combination with Partial Least-Squares (PLS) for the Fast Quantification of Paracetamol

Raman spectroscopy as a diagnostic tool for monitoring acute nephritis

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