Literature DB >> 23480684

Detection and identification of cancers by the electronic nose.

Arnaldo D'Amico1, Corrado Di Natale, Christian Falconi, Eugenio Martinelli, Roberto Paolesse, Giorgio Pennazza, Marco Santonico, Peter Jason Sterk.   

Abstract

INTRODUCTION: The early determination of serious pathologies has so far been an important issue in both the medical and social fields. The search for an instrument able to detect cancers has led to the consideration of the usage of chemicals of the human body, which carry, through its volatile compounds, information coming from or related to defined pathologies. AREAS COVERED: The electronic nose (EN) seems to represent a good solution for the detection of cancers of different types. Recent results showed the utility of an EN to smell chemicals related to lung, melanoma, prostatic, breast and pancreatic cancers. The results obtainable from ENs are chemical images and, as it will be shown in this paper, the probability of cancer recognition is rather high. Main results obtained at international level and by the authors of this paper will be commented upon. EXPERT OPINION: A personal opinion is given trying to foresee future developments of the olfaction strategy. To this purpose, two main aspects are considered: looking for better overall stability of the EN and for a new use of ENs in detecting alterations between blood and pathology components.

Entities:  

Year:  2012        PMID: 23480684     DOI: 10.1517/17530059.2012.665870

Source DB:  PubMed          Journal:  Expert Opin Med Diagn        ISSN: 1753-0059


  11 in total

Review 1.  The therapeutic potential of cystathionine β-synthetase/hydrogen sulfide inhibition in cancer.

Authors:  Mark R Hellmich; Ciro Coletta; Celia Chao; Csaba Szabo
Journal:  Antioxid Redox Signal       Date:  2014-06-20       Impact factor: 8.401

2.  A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training.

Authors:  Pengfei Jia; Tailai Huang; Shukai Duan; Lingpu Ge; Jia Yan; Lidan Wang
Journal:  Sensors (Basel)       Date:  2016-03-14       Impact factor: 3.576

3.  Rapid point-of-care breath test for biomarkers of breast cancer and abnormal mammograms.

Authors:  Michael Phillips; J David Beatty; Renee N Cataneo; Jan Huston; Peter D Kaplan; Roy I Lalisang; Philippe Lambin; Marc B I Lobbes; Mayur Mundada; Nadine Pappas; Urvish Patel
Journal:  PLoS One       Date:  2014-03-05       Impact factor: 3.240

4.  Design and test of a biosensor-based multisensorial system: a proof of concept study.

Authors:  Marco Santonico; Giorgio Pennazza; Simone Grasso; Arnaldo D'Amico; Mariano Bizzarri
Journal:  Sensors (Basel)       Date:  2013-12-04       Impact factor: 3.576

5.  A highly accurate inclusive cancer screening test using Caenorhabditis elegans scent detection.

Authors:  Takaaki Hirotsu; Hideto Sonoda; Takayuki Uozumi; Yoshiaki Shinden; Koshi Mimori; Yoshihiko Maehara; Naoko Ueda; Masayuki Hamakawa
Journal:  PLoS One       Date:  2015-03-11       Impact factor: 3.240

6.  Variation in Gas and Volatile Compound Emissions from Human Urine as It Ages, Measured by an Electronic Nose.

Authors:  Siavash Esfahani; Nidhi M Sagar; Ioannis Kyrou; Ella Mozdiak; Nicola O'Connell; Chuka Nwokolo; Karna D Bardhan; Ramesh P Arasaradnam; James A Covington
Journal:  Biosensors (Basel)       Date:  2016-01-25

7.  A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs.

Authors:  Tailai Huang; Pengfei Jia; Peilin He; Shukai Duan; Jia Yan; Lidan Wang
Journal:  Sensors (Basel)       Date:  2016-09-10       Impact factor: 3.576

8.  A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm.

Authors:  Li Wang; Pengfei Jia; Tailai Huang; Shukai Duan; Jia Yan; Lidan Wang
Journal:  Sensors (Basel)       Date:  2016-08-12       Impact factor: 3.576

9.  Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection.

Authors:  Peilin He; Pengfei Jia; Siqi Qiao; Shukai Duan
Journal:  Sensors (Basel)       Date:  2017-10-07       Impact factor: 3.576

10.  Pre-analytical and analytical variables that influence urinary volatile organic compound measurements.

Authors:  Michael McFarlanE; Ella MozdiaK; Emma Daulton; Ramesh Arasaradnam; James Covington; Chuka Nwokolo
Journal:  PLoS One       Date:  2020-07-31       Impact factor: 3.240

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