In vivo evaluation of a chip based near infrared sensor for continuous glucose monitoring

Mohammadi, L. Ben; Klotzbuecher, Thomas; Sigloch, S.; Welzel, K.; Göddel, Michael; Pieber, Thomas R.; Schaupp, Lukas

doi:10.1016/j.bios.2013.09.043

Cited by 37 publications

(15 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Previously, in vitro tests of the NIR-CGM sensor have been made by flushing distilled water with glucose dissolved into the measurement cell and pure water in the reference cell. The results, already reported in a previous paper, showed a strong correlation between the sensor difference signal and glucose concentration in the physiological range [12].…”

Section: In Vitro Measurementssupporting

confidence: 82%

In vivo continuous glucose monitoring using a chip based near infrared sensor

et al. 2014

View full text Add to dashboard Cite

Diabetes is a serious health condition considered to be one of the major healthcare epidemics of modern era. An effective treatment of this disease can be only achieved by reliable continuous information on blood glucose levels. In this work we present a minimally invasive, chip-based near infrared (NIR) sensor, combined with microdialysis, for continuous glucose monitoring (CGM). The sensor principle is based on difference absorption spectroscopy in the 1st overtone band of the near infrared spectrum. The device features a multi-emitter LED and InGaAs-Photodiodes, which are located on a single electronic board (non-disposable part), connected to a personal computer via Bluetooth. The disposable part consists of a chip containing the fluidic connections for microdialysis, two fluidic channels acting as optical transmission cells and total internally reflecting mirrors for in- and out-coupling of the LED light to the chip and to the detectors. The sensor is combined with an intraveneous microdialysis to separate the glucose from the cells and proteins in the blood and operates without any chemical consumption. In vitro measurements showed a linear relationship between glucose concentration and the integrated difference signal with a coefficient of determination of 99 % in the relevant physiological concentration range from 0 to 400 mg/dl. In vivo measurements on 10 patients showed that the NIR-CGM sensor data reflects the blood reference values adequately, if a proper calibration and signal drift compensation is applied. The MARE (mean absolute relative error) value taken over all patient data is 13.8 %. The best achieved MARE value is at 4.8 %, whereas the worst is 25.8 %, with a standard deviation of 5.5 %. © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only

show abstract

Section: In Vitro Measurementssupporting

confidence: 82%

In vivo continuous glucose monitoring using a chip based near infrared sensor

et al. 2014

View full text Add to dashboard Cite

show abstract

“…In recent years, various glucose-sensing mechanisms for non-invasive, or at least minimally invasive, CGM have been tested [18][19][20][21][22][23][24][25][26], in an attempt to match all fundamental requirements for an extended in vivo use, e.g., sensitivity, specificity, linearity within biological relevant range, biocompatibility, and lifetime [13]. Among all the proposed techniques, i.e., electrochemical, optical, and piezoelectric, the one that is today exploited by most of the commercialized CGM systems is the glucose-oxidase electrochemical principle [8].…”

Section: Cgm Sensor Technologiesmentioning

confidence: 99%

Wearable Continuous Glucose Monitoring Sensors: A Revolution in Diabetes Treatment

et al. 2017

View full text Add to dashboard Cite

Worldwide, the number of people affected by diabetes is rapidly increasing due to aging populations and sedentary lifestyles, with the prospect of exceeding 500 million cases in 2030, resulting in one of the most challenging socio-health emergencies of the third millennium. Daily management of diabetes by patients relies on the capability of correctly measuring glucose concentration levels in the blood by using suitable sensors. In recent years, glucose monitoring has been revolutionized by the development of Continuous Glucose Monitoring (CGM) sensors, wearable non/minimally-invasive devices that measure glucose concentration by exploiting different physical principles, e.g., glucose-oxidase, fluorescence, or skin dielectric properties, and provide real-time measurements every 1-5 min. CGM opened new challenges in different disciplines, e.g., medicine, physics, electronics, chemistry, ergonomics, data/signal processing, and software development to mention but a few. This paper first makes an overview of wearable CGM sensor technologies, covering both commercial devices and research prototypes. Then, the role of CGM in the actual evolution of decision support systems for diabetes therapy is discussed. Finally, the paper presents new possible horizons for wearable CGM sensor applications and perspectives in terms of big data analytics for personalized and proactive medicine.

show abstract

“…In contrast, well-defined plasmonic substrates can also be prepared, typically through deposition on solid supports, [56,57] leading to maximized SERS signals, as well as uniform SERS enhancement factors across the entire surface, owing to their homogenous structure, so that the reproducibility of SERS analysis is greatly improved. [59,60] We present below some examples of supported SERS substrates that have been applied to the detection of monosaccharides. [59,60] We present below some examples of supported SERS substrates that have been applied to the detection of monosaccharides.…”

Section: Detection Of Saccharidesmentioning

confidence: 99%

Plasmonic Detection of Carbohydrate‐Mediated Biological Events

Garcı́a

Mosquera

Plou

et al. 2018

Advanced Optical Materials

View full text Add to dashboard Cite

regulation of a variety of physiological and pathological processes, such as proliferation and adhesion, immune response, and cell differentiation. [8] The biological roles of carbohydrates as signaling effectors and recognition markers are associated to specific molecular recognition events in which proteins [9] or other carbohydrates [10] are involved. However, individual carbohydrate-based molecular interactions have been shown to be generally weak and, therefore, biomolecules usually present clusters of carbohydrates that interact cooperatively with their natural ligands (multivalent effect), thereby increasing the binding strength. [11] Interestingly, the multivalent carbohydrate presentation can be mimicked by man-made multivalent systems, which involve multiple synthetic oligosaccharides, [12][13][14][15][16][17] and have been used to address basic studies, but also as probe molecules and drugs. Mammalian cells are covered by a dense array of carbohydrates known as glycocalyx. The glycocalyx composition depends on the specific cellular state, and therefore it can provide information about diseases. For example, an increase of α-2,6-sialylation, fucosylation, and/or other tumor-associated carbohydrate antigens on the cellular membrane is considered as a biomarker of cancer progression, with diagnostic value. [18,19] In addition, oligosaccharides can be used as disease biomarkers for targeted therapy, and therefore the analysis and characterization of the composition of cellular glycans provide information of relevance to the diagnosis of several diseases. [20] Different strategies can be used to label glycans, including the use of covalent recognizing ligands (e.g., boronic acid), using specific carbohydrate-binding proteins, and via metabolic labeling.Plasmonics is based on the excitation of surface plasmons, that is, coherent oscillations of electrons induced by an electromagnetic radiation at metal-dielectric interfaces. [21] When the dimensions of plasmonic nanostructures are smaller than the wavelength of the incident light, the interaction between the electromagnetic field and surface charges results in nonpropagating oscillations denoted as localized surface plasmon resonances (LSPR). [22] LSPR frequencies in metal nanoparticles depend on their size, shape, organization, interparticle distance, and dielectric environment, ranging from the visible through the near-infrared (NIR). [23,24] A large volume of research has been devoted to the development of reliable methods for the preparation of plasmonic nanostructures with well-defined shape, size, and/or interparticle spacing, as basic components of various analytical applications. [25,26] Another important element, the surface chemistry of plasmonic The incorporation of nanomaterials in glycoscience research enables the design of highly selective and sensitive bioanalytical devices for the detection of disease-associated biomarkers. In particular, localized surface plasmon resonance (LSPR) and surface enhanced Raman scattering (SERS) spectroscopies ar...

show abstract

In vivo evaluation of a chip based near infrared sensor for continuous glucose monitoring

Cited by 37 publications

References 16 publications

In vivo continuous glucose monitoring using a chip based near infrared sensor

In vivo continuous glucose monitoring using a chip based near infrared sensor

Wearable Continuous Glucose Monitoring Sensors: A Revolution in Diabetes Treatment

Plasmonic Detection of Carbohydrate‐Mediated Biological Events

Contact Info

Product

Resources

About