Towards a quantum cascade laser-based implant for the continuous monitoring of glucose

Isensee, Katharina; Müller, Niklas; Pucci, Annemarie; Petrich, Wolfgang

doi:10.1039/c8an01382a

Cited by 15 publications

(9 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The primary hurdle lies in the presence of other biomolecules in, e.g., the blood or tear liquid. In particular, the other monosaccharaides cause problems in identifying the correct concentration [29]. As a model system, we therefore utilize aqueous solutions of different glucose and fructose concentrations in order to establish a robust routine for quantitative concentration determination.…”

Section: Methodsmentioning

confidence: 99%

Adaptive Method for Quantitative Estimation of Glucose and Fructose Concentrations in Aqueous Solutions Based on Infrared Nanoantenna Optics

Schuler

Kühner

Hentschel

et al. 2019

Sensors

View full text Add to dashboard Cite

In life science and health research one observes a continuous need for new concepts and methods to detect and quantify the presence and concentration of certain biomolecules—preferably even in vivo or aqueous solutions. One prominent example, among many others, is the blood glucose level, which is highly important in the treatment of, e.g., diabetes mellitus. Detecting and, in particular, quantifying the amount of such molecular species in a complex sensing environment, such as human body fluids, constitutes a significant challenge. Surface-enhanced infrared absorption (SEIRA) spectroscopy has proven to be uniquely able to differentiate even very similar molecular species in very small concentrations. We are thus employing SEIRA to gather the vibrational response of aqueous glucose and fructose solutions in the mid-infrared spectral range with varying concentration levels down to 10 g/l. In contrast to previous work, we further demonstrate that it is possible to not only extract the presence of the analyte molecules but to determine the quantitative concentrations in a reliable and automated way. For this, a baseline correction method is applied to pre-process the measurement data in order to extract the characteristic vibrational information. Afterwards, a set of basis functions is fitted to capture the characteristic features of the two examined monosaccharides and a potential contribution of the solvent itself. The reconstruction of the actual concentration levels is then performed by superposition of the different basis functions to approximate the measured data. This software-based enhancement of the employed optical sensors leads to an accurate quantitative estimate of glucose and fructose concentrations in aqueous solutions.

show abstract

Section: Methodsmentioning

confidence: 99%

Adaptive Method for Quantitative Estimation of Glucose and Fructose Concentrations in Aqueous Solutions Based on Infrared Nanoantenna Optics

Schuler

Kühner

Hentschel

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…Analytically, QCL's have important implications for biofluid applications, allowing increased sensitivity and improved spectral characterisation of liquid samples, as well as the ability to interrogate samples at discrete frequencies for multi‐component quantification and reduced analysis time. Pioneering work of both Lendl and Petrich have shown adoption of QCL based spectroscopic systems for sensitive detection of amide I and amide II peaks [54, 55] and continuous monitoring of glucose [56], respectively, in aqueous samples, enabling qualitative and quantitative studies of proteins and other clinical biomarkers in liquid biofluid samples. Practically, QCL's are semi‐conductor devices that operate at room temperature and may be thermal electrically cooled, and are, hence, ideally suited for miniaturisation and development of portable “point‐of‐care” instruments for spectroscopic biofluid applications in clinical settings.…”

Section: Introductionmentioning

confidence: 99%

Fourier‐transform infrared spectroscopy of biofluids: A practical approach

Theakstone

Rinaldi

Butler³

et al. 2021

Transl Biophotonics

View full text Add to dashboard Cite

Biofluid spectroscopy is an emerging technology in the field of clinical investigation, providing a simple way to extract diagnostic and observational information from easy to acquire samples. Infrared spectroscopy is well suited to analyse a large range of biofluid samples, including blood and its derivatives, due to flexible sampling modes and high sensitivity to subtle biological changes. As the technology advances towards the clinic, factors influencing successful clinical translation are becoming apparent. Here, we provide a tutorial for effective biofluid spectroscopy study design, discussing sample and instrument parameters, as well as clinical considerations. The aim is to present the current understanding of clinical translation in the field of biofluid spectroscopy, and to facilitate other clinical applications to advance to the clinic.

show abstract

“…These systems have mainly used either free-space configurations with liquid samples in transmission cells, 2,3 or fiber-coupled setups with either transmission, reflectance, or attenuated total reflection (ATR) sensing modalities. [4][5][6][7] Fiber-coupled setups are more practical for portable sensor development, while free-space setups can potentially be used for larger systems in e.g. intensive care.…”

Section: Introductionmentioning

confidence: 99%

Mid-infrared spectroscopy with a fiber-coupled tuneable quantum cascade laser for glucose sensing

Jernelv

Strøm

Hjelme

et al. 2020

Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XX

View full text Add to dashboard Cite

A fiber-coupled transmission spectroscopy setup using a pulsed external-cavity quantum cascade laser (EC-QCL, 1200-900 cm −1 ) has been developed and demonstrated for measurements of aqueous solutions. The system has been characterised with regard to the laser noise and optimal optical pathlength. Solutions with glucose were used to further test the setup, and glucose concentrations down to physiologically relevant levels (0-600 mg/dL) were investigated. Albumin, lactate, urea, and fructose in various concentrations were added as interfering substances as their absorption bands overlap with those of glucose, and because they may be of interest in a clinical setting. Analyte concentrations were predicted using partial least-squares (PLS) regression, and the root-mean-square error of cross-validation for glucose was 10.7 mg/dL. The advantages of using a convolutional neural network (CNN) for regression analysis in comparison to the PLS regression were also shown. The application of a CNN gave an improved prediction error (8.3 mg/dL), and was used to identify important spectral regions. These results are comparable to state-of-the-art enzymatic glucose sensors, and are encouraging for further research on optics-based glucose sensors.

show abstract

Towards a quantum cascade laser-based implant for the continuous monitoring of glucose

Cited by 15 publications

References 71 publications

Adaptive Method for Quantitative Estimation of Glucose and Fructose Concentrations in Aqueous Solutions Based on Infrared Nanoantenna Optics

Adaptive Method for Quantitative Estimation of Glucose and Fructose Concentrations in Aqueous Solutions Based on Infrared Nanoantenna Optics

Fourier‐transform infrared spectroscopy of biofluids: A practical approach

Mid-infrared spectroscopy with a fiber-coupled tuneable quantum cascade laser for glucose sensing

Contact Info

Product

Resources

About