Literature DB >> 15321012

Volatile metabolic monitoring of glycemic status in diabetes using electronic olfaction.

Pamela Dalton1, Alan Gelperin, George Preti.   

Abstract

The increased incidence of Type I and Type II diabetes among adults and adolescents is a growing public health concern worldwide. The primary objective of diabetes mellitus management involves keeping glycemia levels within the euglycemic range to prevent a variety of serious health complications. Unfortunately, daily self-monitoring is both a requirement and a problem for many patients with diabetes, particularly children and adolescents. Studies have shown that as many as 43% of adolescents and 30% of children (<14 years old) regularly forget to use glycemic tests and are significantly poorer at recognizing and reporting symptoms and signs of hypoglycemia/hyperglycemia. For this reason, methods for noninvasive, continuous monitoring that can signal glycemic status to a parent, teacher, or other caregiver would improve the care and management of symptoms of diabetes among these individuals. The goal of this review is to describe and evaluate electronic olfaction technology ("electronic nose") for monitoring the presence and levels of volatile chemicals from human body and breath that can be used to evaluate status of diabetes. The review is organized in four sections. The first section reviews the chemistry of the volatile signals that are produced by the body that are indicative of metabolic status. The second section provides an overview of novel sensor technology, e.g., "electronic olfaction," that mimics the biological olfactory system and can be used to monitor and identify complex plumes of volatiles that are signatures of metabolic states. The third section reviews studies that have employed electronic "nose" technology for diagnosis and monitoring of diabetes via urine and breath, and the final section discusses needed future directions for the development of olfactory-based metabolic monitoring, particularly among noncompliant populations.

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Year:  2004        PMID: 15321012     DOI: 10.1089/1520915041705992

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  11 in total

1.  Detection of lung cancer by sensor array analyses of exhaled breath.

Authors:  Roberto F Machado; Daniel Laskowski; Olivia Deffenderfer; Timothy Burch; Shuo Zheng; Peter J Mazzone; Tarek Mekhail; Constance Jennings; James K Stoller; Jacqueline Pyle; Jennifer Duncan; Raed A Dweik; Serpil C Erzurum
Journal:  Am J Respir Crit Care Med       Date:  2005-03-04       Impact factor: 21.405

2.  Evening and morning exhaled volatile compound patterns are different in obstructive sleep apnoea assessed with electronic nose.

Authors:  Laszlo Kunos; Andras Bikov; Zsofia Lazar; Beata Zita Korosi; Palma Benedek; Gyorgy Losonczy; Ildiko Horvath
Journal:  Sleep Breath       Date:  2014-05-20       Impact factor: 2.816

3.  Cellular scent of influenza virus infection.

Authors:  Alexander A Aksenov; Christian E Sandrock; Weixiang Zhao; Shankar Sankaran; Michael Schivo; Richart Harper; Carol J Cardona; Zheng Xing; Cristina E Davis
Journal:  Chembiochem       Date:  2014-04-09       Impact factor: 3.164

4.  Micromachined Optical Fiber Sensors for Biomedical Applications.

Authors:  Chen Zhu; Rex E Gerald; Jie Huang
Journal:  Methods Mol Biol       Date:  2022

5.  Type 2 diabetes mellitus and increased risk for malaria infection.

Authors:  Ina Danquah; George Bedu-Addo; Frank P Mockenhaupt
Journal:  Emerg Infect Dis       Date:  2010-10       Impact factor: 6.883

6.  The nematode Caenorhabditis elegans displays a chemotaxis behavior to tuberculosis-specific odorants.

Authors:  Mário F Neto; Quan H Nguyen; Joseph Marsili; Sally M McFall; Cindy Voisine
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Review 7.  The electronic nose technology in clinical diagnosis: A systematic review.

Authors:  Mariana Valente Farraia; João Cavaleiro Rufo; Inês Paciência; Francisca Mendes; Luís Delgado; André Moreira
Journal:  Porto Biomed J       Date:  2019-07-22

8.  Solid-state, dye-labeled DNA detects volatile compounds in the vapor phase.

Authors:  Joel White; Kathleen Truesdell; Lloyd B Williams; Mary S Atkisson; John S Kauer
Journal:  PLoS Biol       Date:  2008-01       Impact factor: 8.029

Review 9.  Glucose prediction by analysis of exhaled metabolites - a systematic review.

Authors:  Jan Hendrik Leopold; Roosmarijn T M van Hooijdonk; Peter J Sterk; Ameen Abu-Hanna; Marcus J Schultz; Lieuwe D J Bos
Journal:  BMC Anesthesiol       Date:  2014-06-17       Impact factor: 2.217

Review 10.  Cutting Edge Methods for Non-Invasive Disease Diagnosis Using E-Tongue and E-Nose Devices.

Authors:  Jessica Fitzgerald; Hicham Fenniri
Journal:  Biosensors (Basel)       Date:  2017-12-07
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