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      Non-Invasive Method to Detect Infection with Mycobacterium tuberculosis Complex in Wild Boar by Measurement of Volatile Organic Compounds Obtained from Feces with an Electronic Nose System

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          Abstract

          More effective methods to detect bovine tuberculosis, caused by Mycobacterium bovis, in wildlife, is of paramount importance for preventing disease spread to other wild animals, livestock, and human beings. In this study, we analyzed the volatile organic compounds emitted by fecal samples collected from free-ranging wild boar captured in Doñana National Park, Spain, with an electronic nose system based on organically-functionalized gold nanoparticles. The animals were separated by the age group for performing the analysis. Adult (>24 months) and sub-adult (12–24 months) animals were anesthetized before sample collection, whereas the juvenile (<12 months) animals were manually restrained while collecting the sample. Good accuracy was obtained for the adult and sub-adult classification models: 100% during the training phase and 88.9% during the testing phase for the adult animals, and 100% during both the training and testing phase for the sub-adult animals, respectively. The results obtained could be important for the further development of a non-invasive and less expensive detection method of bovine tuberculosis in wildlife populations.

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          Most cited references32

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          Diagnosing lung cancer in exhaled breath using gold nanoparticles.

          Conventional diagnostic methods for lung cancer are unsuitable for widespread screening because they are expensive and occasionally miss tumours. Gas chromatography/mass spectrometry studies have shown that several volatile organic compounds, which normally appear at levels of 1-20 ppb in healthy human breath, are elevated to levels between 10 and 100 ppb in lung cancer patients. Here we show that an array of sensors based on gold nanoparticles can rapidly distinguish the breath of lung cancer patients from the breath of healthy individuals in an atmosphere of high humidity. In combination with solid-phase microextraction, gas chromatography/mass spectrometry was used to identify 42 volatile organic compounds that represent lung cancer biomarkers. Four of these were used to train and optimize the sensors, demonstrating good agreement between patient and simulated breath samples. Our results show that sensors based on gold nanoparticles could form the basis of an inexpensive and non-invasive diagnostic tool for lung cancer.
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            Zoonotic Mycobacterium bovis–induced Tuberculosis in Humans

            We aimed to estimate the global occurrence of zoonotic tuberculosis (TB) caused by Mycobacterium bovis or M. caprae infections in humans by performing a multilingual, systematic review and analysis of relevant scientific literature of the last 2 decades. Although information from many parts of the world was not available, data from 61 countries suggested a low global disease incidence. In regions outside Africa included in this study, overall median proportions of zoonotic TB of ≤1.4% in connection with overall TB incidence rates ≤71/100,000 population/year suggested low incidence rates. For countries of Africa included in the study, we multiplied the observed median proportion of zoonotic TB cases of 2.8% with the continental average overall TB incidence rate of 264/100,000 population/year, which resulted in a crude estimate of 7 zoonotic TB cases/100,000 population/year. These generally low incidence rates notwithstanding, available data indicated substantial consequences of this disease for some population groups and settings.
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              Applications of Electronic-Nose Technologies for Noninvasive Early Detection of Plant, Animal and Human Diseases

              The development of electronic-nose (e-nose) technologies for disease diagnostics was initiated in the biomedical field for detection of biotic (microbial) causes of human diseases during the mid-1980s. The use of e-nose devices for disease-diagnostic applications subsequently was extended to plant and animal hosts through the invention of new gas-sensing instrument types and disease-detection methods with sensor arrays developed and adapted for additional host types and chemical classes of volatile organic compounds (VOCs) closely associated with individual diseases. Considerable progress in animal disease detection using e-noses in combination with metabolomics has been accomplished in the field of veterinary medicine with new important discoveries of biomarker metabolites and aroma profiles for major infectious diseases of livestock, wildlife, and fish from both terrestrial and aquaculture pathology research. Progress in the discovery of new e-nose technologies developed for biomedical applications has exploded with new information and methods for diagnostic sampling and disease detection, identification of key chemical disease biomarkers, improvements in sensor designs, algorithms for discriminant analysis, and greater, more widespread testing of efficacy in clinical trials. This review summarizes progressive advancements in utilizing these specialized gas-sensing devices for numerous diagnostic applications involving noninvasive early detections of plant, animal, and human diseases.
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                15 January 2021
                January 2021
                : 21
                : 2
                : 584
                Affiliations
                [1 ]Mechatronics Engineering Department, Universidad Autónoma del Caribe, Barranquilla 080020, Colombia; kelvin.beleno@ 123456uac.edu.co
                [2 ]GISM Group, Faculty of Engineering and Architecture, University of Pamplona, Pamplona 543050, Colombia; juan.caceres@ 123456unipamplona.edu.co (J.M.C.-T.); lisset.jaimes@ 123456unipamplona.edu.co (A.L.J.-M.); oscar.gualdron@ 123456unipamplona.edu.co (O.E.G.-G.); cmduran@ 123456unipamplona.edu.co (C.M.D.-A.)
                [3 ]Centers for Epidemiology and Animal Health, Veterinary Services, Animal and Plant Health Inspection, Service, United States Department of Agriculture, Fort Collins, CO 80526, USA; pauline.nol@ 123456state.co.us (P.N.); rhyanjack@ 123456yahoo.com (J.R.)
                [4 ]VISAVET Health Surveillance Centre, Animal Health Department, Faculty of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain; jbarason@ 123456ucm.es
                [5 ]SaBio Instituto de Investigación en Recursos Cinegéticos IREC, ETSIA Ciudad Real, University of Castilla La Mancha & CSIC, 13003 Ciudad Real, Spain; joaquin.vicente@ 123456uclm.es
                [6 ]Biomedical Institute of Sevilla (IBiS), University of Seville, University Hospital Virgen del Rocío/CSIC, 41071 Seville, Spain; mjtorres@ 123456us.es
                [7 ]The Ångström Laboratory, Department of Materials Science and Engineering Sciences, Uppsala University, P.O. Box 35, 75103 Uppsala, Sweden; tesfalem.welearegay@ 123456angstrom.uu.se (T.G.W.); lars.osterlund@ 123456angstrom.uu.se (L.Ö.)
                [8 ]Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, 51006 Tartu, Estonia
                Author notes
                [†]

                Current address: Colorado Division of Parks and Wildlife, Wildlife Health Program, Fort Collins, CO 80521, USA.

                Author information
                https://orcid.org/0000-0002-5241-2950
                https://orcid.org/0000-0003-4066-8454
                https://orcid.org/0000-0002-4016-4793
                https://orcid.org/0000-0003-2553-946X
                https://orcid.org/0000-0003-0296-5247
                https://orcid.org/0000-0001-6211-0035
                Article
                sensors-21-00584
                10.3390/s21020584
                7829825
                33467480
                2c58b07f-d1c4-4a6a-b9ba-3153b90c3c03
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 09 December 2020
                : 13 January 2021
                Categories
                Article

                Biomedical engineering
                sus scrofa,bovine tuberculosis,mycobacterium bovis,diagnosis,feces,volatile organic compounds,chemical gas sensors,gold nanoparticles,organic ligands

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