Hypoglycaemia documented with real-time continuous glucose sensing in a case of ‘dead in bed’ syndrome

2013 ◽  
Vol 30 (1) ◽  
pp. 33-35 ◽  
Author(s):  
Najeeb Waheed ◽  
Muhammad Butt ◽  
Colin Dayan
Keyword(s):  
Real Time ◽  
Glucose Sensing ◽  
Dead In Bed Syndrome

Real-time continuous glucose sensing of implantable probes using SERS

2019 ◽  
Author(s):  
Dayle Kotturi ◽  
Sureyya Paterson ◽  
Mike McShane
Keyword(s):  
Real Time ◽  
Glucose Sensing

Real-Time Glucose Sensing Using Transdermal Fluid Under Continuous Vacuum Pressure in Children with Type 1 Diabetes

2005 ◽  
Vol 7 (3) ◽  
pp. 448-455 ◽  
Author(s):  
Jonathan Burdick ◽  
Peter Chase ◽  
Mark Faupel ◽  
Brenda Schultz ◽  
Suzanne Gebhart
Keyword(s):  
Type 1 Diabetes ◽  
Real Time ◽  
Glucose Sensing ◽  
Vacuum Pressure ◽  
Continuous Vacuum

74-LB: Sudden Changes in Interstitial Glucose Sensing by Remote Real-Time Continuous Glucose Monitoring as a Marker of Hypoperfusion in Critically-Ill Patients with COVID-19

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 74-LB
Author(s):  
JOI HESTER ◽  
GEORGIA M. DAVIS ◽  
FRANCISCO J. PASQUEL ◽  
MARINA RABINOVICH ◽  
NORMA POINDEXTER ◽  
...  
Keyword(s):  
Real Time ◽  
Critically Ill ◽  
Continuous Glucose Monitoring ◽  
Critically Ill Patients ◽  
Glucose Monitoring ◽  
Glucose Sensing ◽  
Interstitial Glucose

Real-Time Glucose Sensing by Surface-Enhanced Raman Spectroscopy in Bovine Plasma Facilitated by a Mixed Decanethiol/Mercaptohexanol Partition Layer

2005 ◽  
Vol 77 (19) ◽  
pp. 6134-6139 ◽  
Author(s):  
Olga Lyandres ◽  
Nilam C. Shah ◽  
Chanda Ranjit Yonzon ◽  
Joseph T. Walsh ◽  
Matthew R. Glucksberg ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Real Time ◽  
Surface Enhanced Raman Spectroscopy ◽  
Glucose Sensing ◽  
Bovine Plasma ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

A “plasmonic cuvette”: dye chemistry coupled to plasmonic interferometry for glucose sensing

Nanophotonics ◽  
2014 ◽  
Vol 3 (3) ◽  
pp. 125-140 ◽  
Author(s):  
Vince S. Siu ◽  
Jing Feng ◽  
Patrick W. Flanigan ◽  
G. Tayhas R. Palmore ◽  
Domenico Pacifici
Keyword(s):  
Real Time ◽  
Biological Fluid ◽  
Artificial Saliva ◽  
High Sensitivity ◽  
Glucose Sensing ◽  
Intensity Change ◽  
Diabetic Patients ◽  
Measured Intensity ◽  
Glucose Assay ◽  
Sensitivity And Selectivity

AbstractA non-invasive method for the detection of glucose is sought by millions of diabetic patients to improve personal management of blood glucose over a lifetime. In this work, the synergistic advantage of combining plasmonic interferometry with an enzyme-driven dye assay yields an optical sensor capable of detecting glucose in saliva with high sensitivity and selectivity. The sensor, coined a “plasmonic cuvette,” is built around a nano-scale groove-slit-groove (GSG) plasmonic interferometer coupled to an Amplex–red/Glucose–oxidase/Glucose (AR/GOx/Glucose) assay. The proposed device is highly sensitive, with a measured intensity change of 1.7×105%/m (i.e., one order of magnitude more sensitive than without assay) and highly specific for glucose sensing in picoliter volumes, across the physiological range of glucose concentrations found in human saliva (20–240 μm). Real-time glucose monitoring in saliva is achieved by performing a detailed study of the underlying enzyme-driven reactions to determine and tune the effective rate constants in order to reduce the overall assay reaction time to ∼2 min. The results reported suggest that by opportunely choosing the appropriate dye chemistry, a plasmonic cuvette can be turned into a general, real-time sensing scheme for detection of any molecular target, with high sensitivity and selectivity, within extremely low volumes of biological fluid (down to femtoliters). Hereby, we present the results on glucose detection in artificial saliva as a notable and clinically relevant case study.

Real-Time Glucose Sensing Using a MEMS-Based Bi-Material Deflecting Membrane

2006 ◽  
Author(s):  
Sandeep Mariserla ◽  
Zayd Leseman ◽  
Thomas J. Mackin
Keyword(s):  
Blood Glucose ◽  
Real Time ◽  
Closed Loop ◽  
Phenylboronic Acid ◽  
Glucose Sensing ◽  
Hydroxyethyl Methacrylate ◽  
Effective Management ◽  
Self Monitoring

Self-monitoring of blood glucose has become an important and critical tool for effective management of diabetes. A closed-loop, real-time sensing and dispensing system, however, has been elusive. We describe here, a novel MEMS-based sensor intended to measure, in realtime, the concentration of glucose in a solution. The device utilizes a bi-material membrane with a functional hydrogel layer that swells reversibly, and in proportion to, the presence of glucose. The hydrogel is composed of 2-hydroxyethyl methacrylate (HEMA) functionalized with 3-acrylamidophenylboronic acid (AAPBA) groups as the glucose-sensitive moiety. Phenylboronic acid (PBA) derivatives interact with glucose by forming a charged complex, causing the hydrogel to swell by solvent intake [1].

scholarly journals Radio-Frequency Biosensors for Real-Time and Continuous Glucose Detection

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1843
Author(s):  
Chorom Jang ◽  
Hee-Jo Lee ◽  
Jong-Gwan Yook
Keyword(s):  
Radio Frequency ◽  
Real Time ◽  
Review Paper ◽  
Point Of Care ◽  
Glucose Sensing ◽  
Glucose Detection ◽  
Glucose Biosensors ◽  
Future Challenges ◽  
Rf Devices ◽  
State Of Art

This review paper focuses on radio-frequency (RF) biosensors for real-time and continuous glucose sensing reported in the literature, including our recent research. Diverse versions of glucose biosensors based on RF devices and circuits are briefly introduced, and their performances are compared. In addition, the limitations of the developed RF glucose biosensors are discussed. Finally, we present perspectives on state-of-art RF biosensing chips for point-of-care diagnosis and describe their future challenges.

scholarly journals Glucose sensing module - is it time to integrate it into real-time perioperative monitoring? An observational pilot study with subcutaneous sensors

2013 ◽  
Vol 157 (4) ◽  
pp. 346-357 ◽  
Author(s):  
Iveta Poljakova ◽  
Eva Elsikova ◽  
Rudolf Chlup ◽  
Stanislav Kalabus ◽  
Petr Hasala ◽  
...  
Keyword(s):  
Pilot Study ◽  
Real Time ◽  
Glucose Sensing ◽  
Perioperative Monitoring
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