Smart wristband with integrated chemical sensors for detecting glucose levels using breath volatile organic compounds

2019 ◽  
Author(s):  
Sudhir Shrestha ◽  
Casey Harold ◽  
Matthew Boubin ◽  
Logan Lawrence
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Chemical Sensors ◽  
Glucose Levels ◽  
Volatile Organic

Materials Design of Sensing Layers for Detection of Volatile Analytes

2012 ◽  
pp. 183-198
Author(s):  
Mutsumi Kimura ◽  
Tadashi Fukawa ◽  
Tsuyoshi Ikehara ◽  
Takashi Mihara
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Chemical Sensors ◽  
Recent Progress ◽  
Materials Design ◽  
Highly Sensitive ◽  
Volatile Organic ◽  
Sensitivity And Selectivity

The authors developed highly sensitive sensing layers for detection of Volatile Organic Compounds (VOCs) by using polymeric nanomaterials. In this chapter, they describe their recent progress on the design of polymeric sensing layers for the chemical sensors. The nanostructures of polymeric sensing layer strongly influenced the sensitivity and selectivity for VOCs sensings.

scholarly journals Microcontroller Implementation of Support Vector Machine for Detecting Blood Glucose Levels Using Breath Volatile Organic Compounds

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2283 ◽  
Author(s):  
Matthew Boubin ◽  
Sudhir Shrestha
Keyword(s):  
Support Vector Machine ◽  
Blood Glucose ◽  
Volatile Organic Compounds ◽  
Embedded System ◽  
Organic Compounds ◽  
Sensor Arrays ◽  
Support Vector ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Volatile Organic

This paper presents an embedded system-based solution for sensor arrays to estimate blood glucose levels from volatile organic compounds (VOCs) in a patient’s breath. Support vector machine (SVM) was trained on a general-purpose computer using an existing SVM library. A training model, optimized to achieve the most accurate results, was implemented in a microcontroller with an ATMega microprocessor. Training and testing was conducted using artificial breath that mimics known VOC footprints of high and low blood glucose levels. The embedded solution was able to correctly categorize the corresponding glucose levels of the artificial breath samples with 97.1% accuracy. The presented results make a significant contribution toward the development of a portable device for detecting blood glucose levels from a patient’s breath.

968-P: Volatile Organic Compounds in Breath Predict Hypoglycemia Well Before Plasma Glucose Levels Fall

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 968-P
Author(s):  
AMANDA P. SIEGEL ◽  
ALI DANESHKHAH ◽  
KIEREN J. MATHER ◽  
MANGILAL AGARWAL
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Plasma Glucose ◽  
Glucose Levels ◽  
Volatile Organic

scholarly journals Cross-Linked Nanoparticle Membranes for Microelectromechanical Chemical Sensors and Pressure Sensors

Proceedings ◽  
2019 ◽  
Vol 2 (13) ◽  
pp. 821
Author(s):  
Hendrik Schlicke ◽  
Hauke Hartmann ◽  
Sophia Caroline Bittinger ◽  
Matthias Rebber ◽  
Malte Behrens ◽  
...  
Keyword(s):  
Gold Nanoparticles ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Chemical Sensors ◽  
Pressure Sensors ◽  
Static Deflection ◽  
Frequency Shifts ◽  
Electrostatically Actuated ◽  
Highly Sensitive ◽  
Volatile Organic

We present novel microelectromechanical chemical sensors for the detection of volatile organic compounds based on electrostatically actuated, nanometer-thin, freestanding membranes of organically cross-linked gold nanoparticles. The sensors employ quasi-static deflection amplitudes or resonance frequency shifts of the membranes as highly sensitive sensing signals and are capable of detecting analytes at concentrations down to the low ppm range. We show that the devices can further be utilized for analyte discrimination. Additionally, we demonstrate that freestanding GNP membranes can be used for the fabrication of highly sensitive resistive pressure sensors.

Materials Design of Sensing Layers for Detection of Volatile Analytes

2014 ◽  
pp. 569-584
Author(s):  
Mutsumi Kimura ◽  
Tadashi Fukawa ◽  
Tsuyoshi Ikehara ◽  
Takashi Mihara
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Chemical Sensors ◽  
Recent Progress ◽  
Materials Design ◽  
Highly Sensitive ◽  
Volatile Organic ◽  
Sensitivity And Selectivity

The authors developed highly sensitive sensing layers for detection of Volatile Organic Compounds (VOCs) by using polymeric nanomaterials. In this chapter, they describe their recent progress on the design of polymeric sensing layers for the chemical sensors. The nanostructures of polymeric sensing layer strongly influenced the sensitivity and selectivity for VOCs sensings.

scholarly journals Recent Advances in Skin Chemical Sensors

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4376 ◽  
Author(s):  
Benoît Piro ◽  
Giorgio Mattana ◽  
Vincent Noël
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Chemical Sensors ◽  
Biological Fluid ◽  
Fluid Collection ◽  
Skin Wounds ◽  
Future Developments ◽  
Volatile Organic ◽  
Skin Conditions ◽  
And Storage

This review summarizes the latest developments in the field of skin chemical sensors, in particular wearable ones. Five major applications are covered in the present work: (i) sweat analysis, (ii) skin hydration, (iii) skin wounds, (iv) perspiration of volatile organic compounds, and (v) general skin conditions. For each application, the detection of the most relevant analytes is described in terms of transduction principles and sensor performances. Special attention is paid to the biological fluid collection and storage and devices are also analyzed in terms of reusability and lifetime. This review highlights the existing gaps between current performances and those needed to promote effective commercialization of sensors; future developments are also proposed.

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