Simultaneous detection of glucose, triglycerides, and total cholesterol in whole blood by Fourier-Transform Raman spectroscopy

Wang, Qiaoyun; Wu, Guanghui; Pian, Feifei; Shan, Peng; Li, Zhigang; Ma, Zhenhe

doi:10.1016/j.saa.2021.119906

Cited by 19 publications

(8 citation statements)

References 27 publications

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“…The main one is the fact that, by choosing the source in the red region of the spectrum or in the NIR, both source and signal can be within the optical window for tissue transparency, and this allows a good penetration depth (up to millimetres) into human tissue. In this configuration, also an FTIR can be used for obtaining the spectra with the same advantages and disadvantages discussed in Section 2.2 ; it has been used with 1,064 nm laser excitation also for minimizing the disturbance of fluorescence background ( Wang Q. et al, 2021 ). Other advantages are its unequivocal detection capability (and subsequently high specificity to glucose) without issues of photostability, minimal interference by temperature changes and water presence, and the high amount of developed methods for quantitative data analysis.…”

Section: Blood Glucose Monitoring Devicesmentioning

confidence: 99%

Is Raman the best strategy towards the development of non-invasive continuous glucose monitoring devices for diabetes management?

Todaro

Begarani²,

Sartori³

et al. 2022

Front. Chem.

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Diabetes has no well-established cure; thus, its management is critical for avoiding severe health complications involving multiple organs. This requires frequent glycaemia monitoring, and the gold standards for this are fingerstick tests. During the last decades, several blood-withdrawal-free platforms have been being studied to replace this test and to improve significantly the quality of life of people with diabetes (PWD). Devices estimating glycaemia level targeting blood or biofluids such as tears, saliva, breath and sweat, are gaining attention; however, most are not reliable, user-friendly and/or cheap. Given the complexity of the topic and the rise of diabetes, a careful analysis is essential to track scientific and industrial progresses in developing diabetes management systems. Here, we summarize the emerging blood glucose level (BGL) measurement methods and report some examples of devices which have been under development in the last decades, discussing the reasons for them not reaching the market or not being really non-invasive and continuous. After discussing more in depth the history of Raman spectroscopy-based researches and devices for BGL measurements, we will examine if this technique could have the potential for the development of a user-friendly, miniaturized, non-invasive and continuous blood glucose-monitoring device, which can operate reliably, without inter-patient variability, over sustained periods.

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Section: Blood Glucose Monitoring Devicesmentioning

confidence: 99%

Is Raman the best strategy towards the development of non-invasive continuous glucose monitoring devices for diabetes management?

Todaro

Begarani²,

Sartori³

et al. 2022

Front. Chem.

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show abstract

“…For example, analysis of dry serum deposits using transmission spectroscopy revealed the possibility of quantitative determination of eight serum analytes [ 30 ] and simultaneous determination of malaria parasitemia, glucose and urea [ 31 ]. A reagent-free method for the simultaneous and direct detection of three analytes in human blood (glucose, triglycerides, and total cholesterol) based on FT-Raman spectroscopy has been proposed [ 32 ]. This study showed that the potential for quantitative determination of blood serum parameters is much wider, in particular, it is possible to simultaneously determine a larger number of analytes with greater accuracy.…”

Section: Discussionmentioning

confidence: 99%

“…This allows unknowns to be predicted using hidden variables extracted from the regression model [ 36 , 37 ]. A robust regression model is described for establishing multivariate calibration based on a nonlinear iterative partial least squares (NIPALS) algorithm with orthogonal signal correction (OSC) and sample set splitting based on joint distance x-y (SPXY) [ 32 ].…”

Section: Discussionmentioning

confidence: 99%

Application of FTIR Spectroscopy for Quantitative Analysis of Blood Serum: A Preliminary Study

2021

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The aim of this study was to analyze the possibility of simultaneous determination of the concentration of components from the characteristics of FTIR spectra using the example of a model blood serum. To prepare model solutions, a set of freeze-dried control sera based on bovine blood serum was used, certified for approximately 38 parameters. Based on the values of the absorbance and areas of absorption bands in the FTIR spectra of model solutions, a regression equation was constructed by solving a nonlinear problem using the generalized reduced gradient method. By using the absorbance of the absorption bands at 1717 and 3903 cm−1 and the areas of the absorption bands at 616, 3750, and 3903 cm−1, it is possible to simultaneously determine the concentrations of 38 components with an error of less than 0.1%. The results obtained confirm the potential clinical use of FTIR spectroscopy as a reagent-free express method for the analysis of blood serum. However, its practical implementation requires additional research, in particular, analysis of real blood serum samples and validation of the method.

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“…[24][25][26][27][28][29] Compared with IR, Raman spectroscopy can be used to analyze the components of physiological fluids without labeling reagents, or sample preparations. 2,[30][31][32] Raman spectra can provide sharper peaks, less overlapped peaks, and less disturbances from water and temperature. Raman spectroscopy has been investigated for the components in serum, such as glucose and cholesterol.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of blood glucose by FT‐Raman spectroscopy and multivariate statistical analysis

Sun,

Song,

Qian

et al. 2023

Micro & Optical Tech Letters

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Diabetes is one of the common chronic diseases in worldwide and increasing among young children. Testing glycated hemoglobin levels as well as blood glucose levels is a method for detecting diabetes. In this article, with multivariate statistical analysis was used to monitor the blood glucose levels by the Fourier Transform Raman spectroscopy. Principal component regression with direct orthogonal signal correction is developed and applied to analyze the glucose concentration with the blood Raman spectroscopy. The root means square error of calibration is 3.0824 mg/dL (0.1712 mmol/L), the root means square error of prediction is 3.2688 mg/dL (0.1816 mmol/L), the correlation coefficients (R2) is .9946 and ratio of performance to deviation is 6.4789 and, respectively. The results show that this method can be used as a strong potential diagnostic tool for diabetes mellitus.

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Simultaneous detection of glucose, triglycerides, and total cholesterol in whole blood by Fourier-Transform Raman spectroscopy

Cited by 19 publications

References 27 publications

Is Raman the best strategy towards the development of non-invasive continuous glucose monitoring devices for diabetes management?

Is Raman the best strategy towards the development of non-invasive continuous glucose monitoring devices for diabetes management?

Application of FTIR Spectroscopy for Quantitative Analysis of Blood Serum: A Preliminary Study

Quantitative analysis of blood glucose by FT‐Raman spectroscopy and multivariate statistical analysis

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