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      How Sensors Might Help Define the External Exposome

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          Abstract

          The advent of the exposome concept, the advancement of mobile technology, sensors, and the “internet of things” bring exciting opportunities to exposure science. Smartphone apps, wireless devices, the downsizing of monitoring technologies, along with lower costs for such equipment makes it possible for various aspects of exposure to be measured more easily and frequently. We discuss possibilities and lay out several criteria for using smart technologies for external exposome studies. Smart technologies are evolving quickly, and while they provide great promise for advancing exposure science, many are still in developmental stages and their use in epidemiology and risk studies must be carefully considered. The most useable technologies for exposure studies at this time relate to gathering exposure-factor data, such as location and activities. Development of some environmental sensors (e.g., for some air pollutants, noise, UV) is moving towards making the use of these more reliable and accessible to research studies. The possibility of accessing such an unprecedented amount of personal data also comes with various limitations and challenges, which are discussed. The advantage of improving the collection of long term exposure factor data is that this can be combined with more “traditional” measurement data to model exposures to numerous environmental factors.

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          Most cited references66

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          Metal Oxide Gas Sensors: Sensitivity and Influencing Factors

          Conductometric semiconducting metal oxide gas sensors have been widely used and investigated in the detection of gases. Investigations have indicated that the gas sensing process is strongly related to surface reactions, so one of the important parameters of gas sensors, the sensitivity of the metal oxide based materials, will change with the factors influencing the surface reactions, such as chemical components, surface-modification and microstructures of sensing layers, temperature and humidity. In this brief review, attention will be focused on changes of sensitivity of conductometric semiconducting metal oxide gas sensors due to the five factors mentioned above.
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            Metal Oxide Semi-Conductor Gas Sensors in Environmental Monitoring

            Metal oxide semiconductor gas sensors are utilised in a variety of different roles and industries. They are relatively inexpensive compared to other sensing technologies, robust, lightweight, long lasting and benefit from high material sensitivity and quick response times. They have been used extensively to measure and monitor trace amounts of environmentally important gases such as carbon monoxide and nitrogen dioxide. In this review the nature of the gas response and how it is fundamentally linked to surface structure is explored. Synthetic routes to metal oxide semiconductor gas sensors are also discussed and related to their affect on surface structure. An overview of important contributions and recent advances are discussed for the use of metal oxide semiconductor sensors for the detection of a variety of gases—CO, NOx, NH3 and the particularly challenging case of CO2. Finally a description of recent advances in work completed at University College London is presented including the use of selective zeolites layers, new perovskite type materials and an innovative chemical vapour deposition approach to film deposition.
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              Development and evaluation of the Oxford WebQ, a low-cost, web-based method for assessment of previous 24 h dietary intakes in large-scale prospective studies.

              To describe the development of the Oxford WebQ, a web-based 24 h dietary assessment tool developed for repeated administration in large prospective studies; and to report the preliminary assessment of its performance for estimating nutrient intakes. We developed the Oxford WebQ by repeated testing until it was sufficiently comprehensive and easy to use. For the latest version, we compared nutrient intakes from volunteers who completed both the Oxford WebQ and an interviewer-administered 24 h dietary recall on the same day. Oxford, UK. A total of 116 men and women. The WebQ took a median of 12·5 (interquartile range: 10·8-16·3) min to self-complete and nutrient intakes were estimated automatically. By contrast, the interviewer-administered 24 h dietary recall took 30 min to complete and 30 min to code. Compared with the 24 h dietary recall, the mean Spearman's correlation for the 21 nutrients obtained from the WebQ was 0·6, with the majority between 0·5 and 0·9. The mean differences in intake were less than ±10 % for all nutrients except for carotene and vitamins B12 and D. On rare occasions a food item was reported in only one assessment method, but this was not more frequent or systematically different between the methods. Compared with an interviewer-based 24 h dietary recall, the WebQ captures similar food items and estimates similar nutrient intakes for a single day's dietary intake. The WebQ is self-administered and nutrients are estimated automatically, providing a low-cost method for measuring dietary intake in large-scale studies.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                18 April 2017
                April 2017
                : 14
                : 4
                : 434
                Affiliations
                [1 ]Institute of Occupational Medicine, Research Avenue North, Edinburgh EH14 4AP, UK; john.cherrie@ 123456iom-world.org
                [2 ]Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; denis@ 123456eng.auth.gr (D.S.); alberto@ 123456eng.auth.gr (A.G.); spyros@ 123456eng.auth.gr (S.K.)
                [3 ]TNO, Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk, Postbus 360, 3700 AJ Zeist, The Netherlands; anjoeka.pronk@ 123456tno.nl (A.P.); eelco.kuijpers@ 123456tno.nl (E.K.)
                [4 ]Epidemiology of Allergic and Respiratory Diseases Department (EPAR), Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Medical School Saint-Antoine, F75012 Paris, France; isabella.annesi-maesano@ 123456upmc.fr (I.A.-M.); nour.baiz@ 123456upmc.fr (N.B.)
                [5 ]INEGI, Institute of Science and Innovation in Mechanical Engineering and Industrial Management, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal; jvm@ 123456fe.up.pt (J.M.); eof@ 123456fe.up.pt (E.O.F.)
                [6 ]UCLA Fielding School of Public Health, 650 Charles E. Young Drive South, 56-070B CHS, Los Angeles, CA 90095, USA; mjerrett@ 123456ucla.edu
                [7 ]Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Riccarton, Edinburgh EH14 4AS, UK; j.cherrie@ 123456hw.ac.uk
                Author notes
                [* ]Correspondence: miranda.loh@ 123456iom-world.org ; Tel.: +44-131-449-8052
                Article
                ijerph-14-00434
                10.3390/ijerph14040434
                5409635
                28420222
                20837050-1bde-4864-8368-dd2af5083494
                © 2017 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
                : 11 January 2017
                : 23 March 2017
                Categories
                Review

                Public health
                exposome,exposure assessment,exposure factors,sensors,mobile technology
                Public health
                exposome, exposure assessment, exposure factors, sensors, mobile technology

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