FRESH: An Autonomous IoT Platform for Multi-Parameter Environmental Sensing and Short-Term Forecasting Feiling Pan, James A. Covington Sensors, 2026 Environmental monitoring systems are often constrained by high cost, limited portability, restricted pollutant coverage, and dependence on fixed infrastructure, which can limit their suitability for distributed real-time sensing. This study presents FRESH, an autonomous Internet of Things (IoT)-based platform for multi-parameter environmental monitoring and short-term forecasting. The system integrates sensors for air quality, thermal conditions, light, acoustics, and weather, together with GSM-based remote data transmission, onboard data logging, and hybrid battery–solar power management. FRESH was deployed across multiple indoor and outdoor locations in Coventry and at the University of Warwick, UK, and operated over a 10-month period to assess practical performance under varied environmental conditions. In addition to continuous environmental sensing, machine learning models were developed to predict short-term changes in selected environmental variables. Across the tested models, the best predictive performance was obtained for several key parameters, including particulate matter (R2 = 0.93), volatile organic compounds (R2 = 0.92), and ozone (R2 = 0.98). The results suggest that FRESH has potential to support portable, multi-parameter environmental monitoring with integrated short-horizon forecasting, providing a basis for further development of distributed sensing and localised early-warning applications.
Development of a Sensor Array and Data Visualization Platform to Detect Active Steel Corrosion Ines Carotti, James Covington, Duncan Billson, David Hutchins IEEE Sensors Letters, 2026 Corrosion is a major issue across many industries, requiring continuous monitoring, prevention, and repair to avert catastrophic failures. This study investigated the development of a portable sensor array capable of detecting airborne corrosion by-products, enabling simple early-stage corrosion detection. An experimental setup was designed to look at the volatile compounds outputs of mild steel in a corrosive environment in a sealed PTFE bottle. A second sensor array was deployed with mild steel under non-corrosive conditions over the same one-week period for comparison. Data were analysed using principal component analysis (PCA) for visualisation, with the longer-term aim of using the collected dataset to train machine-learning models for future deployment. The sensors were selected for their ability to detect volatile organic compounds (VOCs) and some gases, both of which may be associated with corroding steel. Clear separation was observed between the day-by-day progression of corrosion and the non-rusting samples, with particularly strong discrimination from the VOC sensors.
The diagnostic potential of urinary volatile organic compounds for colorectal neoplasia in Lynch syndrome—A prospective longitudinal study Elsa L. S. A. van Liere, Dewkoemar Ramsoekh, Trenton K. Stewart, Emma Daulton, Maarten A. J. M. Jacobs, Evelien Dekker, Sofie Bosch, James A. Covington, Tim G. J. de Meij, Nanne K. H. de Boer International Journal of Cancer, 2026 Post‐colonoscopy colorectal cancer (CRC) rates and colonoscopy burden are considerable in Lynch syndrome. Urinary volatile organic compounds (VOCs) have shown promise as a patient‐friendly alternative to faecal biomarkers for colorectal neoplasia detection. To evaluate the potential of urinary VOCs to guide optimal colonoscopy intervals in Lynch syndrome, we performed an exploratory prospective longitudinal study in urine collected by individuals with Lynch syndrome before and after colonoscopy. VOC patterns were analysed by field asymmetric ion mobility spectrometry (FAIMS) and gas chromatography‐ion mobility spectrometry (GC‐IMS) followed by machine learning algorithms. Gas chromatography time‐of‐flight mass spectrometry analysed the abundance of individual VOCs. Among 98 included individuals (median 51y, 58% female), 34 had relevant neoplasia at colonoscopy, including 28 non‐advanced adenomas, 3 advanced adenomas, 2 CRCs, and 1 advanced serrated lesion. For GC‐IMS, the respective sensitivity and negative predictive value for relevant neoplasia were 65% and 79% (70% specificity); for FAIMS, 74% and 75% (42% specificity). VOC patterns differed before and after polypectomy (AUC 0.84), while after polypectomy they resembled those of individuals without neoplasia (AUC 0.52). Non‐advanced adenoma presence was associated with increased urinary abundance of decanoic acid (fatty acid). Diagnostic accuracy of urinary VOC patterns for relevant neoplasia was influenced by sample size and external confounders and was lower than for faecal VOC patterns among 50 individuals who had also collected faeces. Urinary VOCs hold promise as non‐invasive biomarkers for postponing colonoscopy and for follow‐up after polypectomy in Lynch syndrome, though large validation studies are needed that also assess stability and accuracy compared to faecal VOCs.
Discrimination of inherent characteristics of susceptible and resistant strains of Anopheles gambiae by explainable artificial intelligence analysis of flight trajectories Yasser M. Qureshi, Vitaly Voloshin, Katherine Gleave, Hilary Ranson, Philip J. McCall, James A. Covington, Catherine E. Towers, David P. Towers Scientific Reports, 2025 Understanding mosquito behaviours is vital for the development of insecticide-treated nets (ITNs), which have been successfully deployed in sub-Saharan Africa to reduce disease transmission, particularly malaria. However, rising insecticide resistance (IR) among mosquito populations, owing to genetic and behavioural changes, poses a significant challenge. We present a machine learning pipeline that successfully distinguishes between innate IR and insecticide-susceptible (IS) mosquito flight behaviours independent of insecticidal exposure by analysing trajectory data. Data-driven methods are introduced to accommodate common tracking system shortcomings that occur due to mosquito positions being occluded by the bednet or other objects. Trajectories, obtained from room-scale tracking of two IR and two IS strains around a human-baited, untreated bednet, were analysed using features such as velocity, acceleration, and geometric descriptors. Using these features, an XGBoost model achieved a balanced accuracy of 0.743 and a ROC AUC of 0.813 in classifying IR from IS mosquitoes. SHAP analysis helped decipher that IR mosquitoes tend to fly slower with more directed flight paths and lower variability than IS—traits that are likely a fitness advantage by enhancing their ability to respond more quickly to bloodmeal cues. This approach provides valuable insights based on flight behaviour that can reveal the action of interventions and insecticides on mosquito physiology.
Bioinspired Substrate Structures for High-Performance Room-Temperature Chemiresistive Gas Sensors Yue Liu, Fengchun Tian, James A. Covington, Zhiyuan Wu, Li Hu, Hantao Li ACS Sensors, 2025 In the field of gas sensors, there is a growing demand for efficient gas detection. Current research mainly focuses on the selection and optimization of sensing materials, while the geometry of sensors is often ignored. Most sensors are designed with simple planar or cylindrical geometries. In this work, biomimetic sensor structures were built, inspired by the olfactory turbinate of the Labrador retriever. Computational fluid dynamics (CFD) simulations revealed that the biomimetic structure enhances sensing performance by optimizing the flow field distribution and increasing the local concentration and surface adsorption concentration around the sensor. To validate these biomimetic structures, we developed high-performance room-temperature chemiresistive gas sensors. We shaped the flexible sensors into forms mimicking canine turbinates and validated the impact of these structures on sensor performance. Experimental results show that the biomimetic sensors have an average response of 390% to 100 ppm of NH3, which is 5.62 times higher than that of traditional, non-biomimetic sensors.
Fecal Microbiota and Volatile Metabolome Pattern Alterations Precede Late-Onset Meningitis in Preterm Neonates Nina M Frerichs, Nancy Deianova, Sofia el Manouni el Hassani, Animesh Acharjee, Mohammed Nabil Quraishi, Willem P de Boode, Veerle Cossey, Christian V Hulzebos, Anton H van Kaam, Boris W Kramer, Esther d’Haens, Wouter J de Jonge, Daniel C Vijlbrief, Mirjam M van Weissenbruch, Emma Daulton, Alfian N Wicaksono, James A Covington, Marc A Benninga, Nanne K H de Boer, Johannes B van Goudoever, Hendrik J Niemarkt, Tim G J de Meij Journal of Infectious Diseases, 2025 Background The fecal microbiota and metabolome are hypothesized to be altered before late-onset neonatal meningitis (LOM), analogous to late-onset sepsis (LOS). The present study aimed to identify fecal microbiota composition and volatile metabolomics preceding LOM. Methods Cases and gestational age-matched controls were selected from a prospective, longitudinal preterm cohort study (born <30 weeks’ gestation) at 9 neonatal intensive care units. The microbial composition (16S rRNA sequencing) and volatile metabolome (gas chromatography-ion mobility spectrometry [GC-IMS] and GC-time-of-flight-mass spectrometry [GC-TOF-MS]) were analyzed in fecal samples 1–10 days pre-LOM. Results Of 1397 included infants, 21 were diagnosed with LOM (1.5%), and 19 with concomitant LOS (90%). Random forest classification and MaAsLin2 analysis found similar microbiota features contribute to the discrimination of fecal pre-LOM samples versus controls. A random forest model based on 6 microbiota features accurately predicted LOM 1–3 days before diagnosis with an area under the curve (AUC) of 0.88 (n = 147). Pattern recognition analysis by GC-IMS revealed an AUC of 0.70–0.76 (P < .05) in the 3 days pre-LOM (n = 92). No single discriminative metabolites were identified by GC-TOF-MS (n = 66). Conclusions Infants with LOM could be accurately discriminated from controls based on preclinical microbiota composition, while alterations in the volatile metabolome were moderately associated with preclinical LOM.
Multi-scent olfactory display with visual and sound interaction Chuhong Wang, Emma Daulton, James A Covington International Journal of Human Computer Studies, 2025 • The authors have developed a multi-scent olfactory display that integrates visual, sound, and smell interactions for an immersive experience. • The display uses off-the-shelf spray bottles and a custom mechanical system to achieve scent generation and switching. • The device demonstrates the ability to align scents with visual and audio events to create an engaging multi-sensory experience. • A user study was undertaken with 28 participants to test the system. • Most participants correctly identified the scents and rated the experience as comfortable and immersive. Historically, research into olfaction and its related technologies has developed at a slower pace than work into other human senses. Recently, the impact of COVID-19 has resulted in temporary smell loss for many people and has brought the importance of olfaction to the public's attention. This has prompted ideas on how we might utilise olfaction and its related technologies better in our daily lives. However, the limited research in this area means the public has been restricted to devices as simple as air fresheners and scented candles. Here, we report on the development and use of a multi-scent olfactory display designed to be integrated with vision and sound. Our device is designed for applications including promotion and film/video events. The system used off-the-shelf spray bottles for scent generation, with a control and actuation system constructed around them. The spray bottle is actuated using a solenoid valve combined with a fan to help deliver the aroma to the user. Scent switching is achieved by sliding the spray bottles on a fixed rail. The final unit can release up to four different aromas, with a fifth slot used for water. A user study was conducted with 28 participants to test the functionality and user experience of the device. During the user study, a video accompanied by a soundtrack was used in parallel with the olfactory display. We show that the unit can be controlled for scent delivery aligned with visual/sound cues. Participants' feedback indicated that they had a positive and immersive experience when using our system.
Diagnostic accuracy of the faecal immunochemical test and volatile organic compound analysis in detecting colorectal polyps: meta-analysis Asma Afzal, Yekaterina S Aranan, Tom Roberts, James Covington, Lorena Vidal, Sonia Ahmed, Talvinder Gill, Nader Francis Bjs Open, 2025 Background For the early detection of colorectal cancer, it is important to identify the premalignant lesions to prevent cancer development. Non-invasive testing methods such as the faecal immunochemical test are well established for the screening and triage of patients with suspected colorectal cancer but are not routinely used for polyps. Additionally, the role of volatile organic compounds has been tested for cancer detection. The aim of this review was to determine the diagnostic accuracy of the faecal immunochemical test and volatile organic compounds in detecting colorectal polyps. Methods Original articles with diagnostic test accuracy measures for both the faecal immunochemical test and volatile organic compounds for advanced adenomas were included. Four databases including Medical Literature Analysis and Retrieval System Online (MEDLINE), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, and Web of Science were searched. The quality assessment tool for diagnostic accuracy study was used to assess the risk of bias and applicability. Meta-analysis was performed using RStudio® and the combined faecal immunochemical test-volatile organic compounds sensitivity and specificity were computed. Results Twenty-two faecal immunochemical tests and 12 volatile organic compound-related articles were included in the systematic review whilst 18 faecal immunochemical tests and eight volatile organic compound-related studies qualified for the meta-analysis. The estimated pooled sensitivity and specificity of the faecal immunochemical test to diagnose advanced adenoma(s) were 36% (95% c.i. 30 to 41) and 89% (95% c.i. 86 to 91) respectively, with an area under the curve of 0.65, whilst volatile organic compounds pooled sensitivity and specificity was 83% (95% c.i. 70 to 91) and 76% (95% c.i. 60 to 87) respectively, with an area under the curve of 0.84. The combined faecal immunochemical test-volatile organic compounds increased the sensitivity to 89% with a specificity of 67%. Conclusion Faecal immunochemical testing has a higher specificity but poor sensitivity for detecting advanced adenomas, while volatile organic compound analysis is more sensitive. The combination of both tests enhances the detection rate of advanced adenomas.
Faecal Volatile Organic Compounds to Detect Colorectal Neoplasia in Lynch Syndrome—A Prospective Longitudinal Multicentre Study Elsa L. S. A. van Liere, Dewkoemar Ramsoekh, Emma Daulton, Maya Dakkak, Joris M. van Lingen, Trenton K. Stewart, Sofie Bosch, Beatriz Carvalho, Evelien Dekker, Maarten A. J. M. Jacobs, Jan Jacob Koornstra, Johan P. Kuijvenhoven, Monique E. van Leerdam, Tim G. J. de Meij, Gerrit A. Meijer, Manon C. W. Spaander, James A. Covington, Nanne K. H. de Boer Alimentary Pharmacology and Therapeutics, 2025
Fecal Volatile Metabolomics Predict Gram-Negative Late-Onset Sepsis in Preterm Infants: A Nationwide Case-Control Study Nina M. Frerichs, Sofia el Manouni el Hassani, Nancy Deianova, Mirjam M. van Weissenbruch, Anton H. van Kaam, Daniel C. Vijlbrief, Johannes B. van Goudoever, Christian V. Hulzebos, Boris. W. Kramer, Esther J. d’Haens, Veerle Cossey, Willem P. de Boode, Wouter J. de Jonge, Alfian N. Wicaksono, James A. Covington, Marc A. Benninga, Nanne K. H. de Boer, Hendrik J. Niemarkt, Tim G. J. de Meij Microorganisms, 2023
Artificial Olfaction in the 21stCentury James A. Covington, Santiago Marco, Krishna C. Persaud, Susan S. Schiffman, H. Troy Nagle IEEE Sensors Journal, 2021
Humidity-Tolerant Ultrathin NiO Gas-Sensing Films Rachel L. Wilson, Cristian Eugen Simion, Adelina Stanoiu, Alaric Taylor, Stefan Guldin, James A. Covington, Claire J. Carmalt, Chris S. Blackman ACS Sensors, 2020
Local micro and nano patterning of microfluidic devices using the solid on liquid deposition process 21st International Conference on Miniaturized Systems for Chemistry and Life Sciences Microtas 2017, 2020
Urinary volatile organic compound markers and colorectal anastomotic leakage V. D. Plat, B. T. Bootsma, M. Neal, K. Nielsen, D. J. A. Sonneveld, J. J. C. Tersteeg, R. M. P. H. Crolla, D. A. van Dam, H. A. Cense, H. B. A. C. Stockmann, J. A. Covington, T. G. J. de Meij, J. B. Tuynman, N. K. H. de Boer, F. Daams Colorectal Disease, 2019
Detection of colorectal cancer (CRC) by urinary volatile organic compound analysis Ramesh P. Arasaradnam, Michael J. McFarlane, Courtenay Ryan-Fisher, Erik Westenbrink, Paula Hodges, Matthew G. Thomas, Samantha Chambers, Nicola O'Connell, Catherine Bailey, Christopher Harmston, Chuka U. Nwokolo, Karna D. Bardhan, James A. Covington Plos One, 2014
Application of a novel tool for diagnosing bile acid diarrhoea James Covington, Eric Westenbrink, Nathalie Ouaret, Ruth Harbord, Catherine Bailey, Nicola O'Connell, James Cullis, Nigel Williams, Chuka Nwokolo, Karna Bardhan, Ramesh Arasaradnam Sensors Switzerland, 2013
Continuous-channel flow linear dichroism Xi Cheng, Maxim B. Joseph, James A. Covington, Timothy R. Dafforn, Matthew R. Hicks, Alison Rodger Analytical Methods, 2012
A high temperature SOI CMOS NO2 sensor S. Z. Ali, W. O. Ho, M. F. Chowdhury, J. A. Covington, P. Moseley, J. Saffell, J. W. Gardner, F. Udrea, Perena Gouma Aip Conference Proceedings, 2011
A method for tensile testing of delicate polymeric specimens Proceedings of the 11th International Conference of the European Society for Precision Engineering and Nanotechnology Euspen 2011, 2011
Characterisation of HfO2/Si/SiC MOS Capacitors Peter Michael Gammon, Amador Pérez-Tomás, Michael R. Jennings, Owen James Guy, N. Rimmer, J. Llobet, Narcis Mestres, Philippe Godignon, Marcel Placidi, M. Zabala, James A. Covington, Philip Andrew Mawby Materials Science Forum, 2011
'Field balanced' SG-RSO structure showing tremendous potential for low voltage Trench MOSFETs 2009 13th European Conference on Power Electronics and Applications EPE 09, 2009
CMOS alcohol sensor employing zno nanowire sensing films S. Santra, S. Z. Ali, P. K. Guha, P. Hiralal, H. E. Unalan, S. H. Dalal, J. A. Covington, W. I. Milne, J. W. Gardner, F. Udrea, Matteo Pardo, Giorgio Sberveglieri Aip Conference Proceedings, 2009
Si/SiC bonded wafer: A route to carbon free SiO2 on SiC A. Pérez-Tomás, M. Lodzinski, O. J. Guy, M. R. Jennings, M. Placidi, J. Llobet, P. M. Gammon, M. C. Davis, J. A. Covington, S. E. Burrows, P. A. Mawby Applied Physics Letters, 2009
Investigation of Si/4H-SiC hetero-junction growth and electrical properties Owen James Guy, Amador Pérez-Tomás, Michael R. Jennings, Michal Lodzinski, A. Castaing, Philip Andrew Mawby, James A. Covington, S.P. Wilks, R. Hammond, D. Connolly, S. Jones, J. Hopkins, T. Wilby, N. Rimmer, K. Baker, S. Conway, S. Evans Materials Science Forum, 2009
Tailored lithographic fabrication of a cell-seeded polymeric intervertebral disc: A novel therapy for intervertebral disc degeneration 8th World Biomaterials Congress 2008, 2008
Characterization of n-n Ge/SiC heterojunction diodes P. M. Gammon, A. Pérez-Tomás, M. R. Jennings, G. J. Roberts, M. C. Davis, V. A. Shah, S. E. Burrows, N. R. Wilson, J. A. Covington, P. A. Mawby Applied Physics Letters, 2008
Si/SiC heterojunctions fabricated by direct wafer bonding M. R. Jennings, A. Pérez-Tomás, O. J. Guy, R. Hammond, S. E. Burrows, P. M. Gammon, M. Lodzinski, J. A. Covington, P. A. Mawby Electrochemical and Solid State Letters, 2008
Molecular beam epitaxy Si/4H-SiC heterojunction diodes P. A. Mawby, A. Perez-Tomas, M. R. Jennings, M. Davis, J. A. Covington, V. Shah, T. Grasby Proceedings of the 14th International Workshop on the Physics of Semiconductor Devices Iwpsd, 2007
Towards a truly biomimetic olfactory microsystem: An atrificial olfactory mucoa Institution of Engineering and Technology Seminar on MEMS Sensors and Actuators Icept, 2006
High temperature SOI CMOS tungsten micro-heaters S.Z. Ali, P.K. Guha, C.C.C. Lee, F. Udrea, W.I. Milne, T. Iwaki, J. Covington, J. W. Gardner, S. Maeng, J. Park Proceedings of IEEE Sensors, 2006
Smart interface circuit to ameliorate loss of measurement range in chemical microsensor arrays Conference Record IEEE Instrumentation and Measurement Technology Conference, 2005
3D thermo-electro-mechanical simulations of gas sensors based on SOI membranes 2000 International Conference on Modeling and Simulation of Microsystems MSM 2000, 2000
Conducting polymer FET devices for vapour sensing Proceedings of SPIE the International Society for Optical Engineering, 1999
RECENT SCHOLAR PUBLICATIONS
FRESH: An Autonomous IoT Platform for Multi-Parameter Environmental Sensing and Short-Term Forecasting F Pan, JA Covington Sensors 26 (10), 3015 , 2026 2026
Development of a Sensor Array and Data Visualization Platform to Detect Active Steel Corrosion I Carotti, J Covington, D Billson, D Hutchins IEEE Sensors Letters 10 (5), 1-4 , 2026 2026
Fabrication of Microfiltration-Inspired Layered Microfilter Structures Using Additive Manufacturing for Water Treatment WP Sari, H Mastrisiswadi, MDP Perdana, L Arbianti, A Yasier, DK Baroroh, ... Additive Manufacturing Letters, 100361 , 2026 2026
The diagnostic potential of urinary volatile organic compounds for colorectal neoplasia in Lynch syndrome—A prospective longitudinal study ELSA van Liere, D Ramsoekh, TK Stewart, E Daulton, MAJM Jacobs, ... International Journal of Cancer 158 (1), 257-266 , 2026 2026 Citations: 2
TuberSense: Industrial application of gas sensing as a tool for monitoring crop spoilage B Correia, R Thorn, RD Hancock, D Nelson, D Reynolds, JA Covington 2025 IEEE Sensors Applications Symposium (SAS), 1-5 , 2025 2025
Fecal microbiota and volatile metabolome pattern alterations precede late-onset meningitis in preterm neonates NM Frerichs, N Deianova, S El Manouni El Hassani, A Acharjee, ... The Journal of infectious diseases 231 (6), 1382-1391 , 2025 2025 Citations: 5
Interpreting Time-Series Machine Learning Models through Domain-Informed Basis Functions Y Qureshi, V Voloshin, PJ McCall, J Covington, C Towers, D Towers 2025 10th International Conference on Machine Learning Technologies (ICMLT … , 2025 2025
Bioinspired Substrate Structures for High-Performance Room-Temperature Chemiresistive Gas Sensors Y Liu, F Tian, JA Covington, Z Wu, L Hu, H Li ACS sensors 10 (6), 4045-4050 , 2025 2025 Citations: 3
Detection of Rust Corrosion in Mild Steel and Stainless Steel Through Headspace Analysis by Electronic Noses I Carotti, DR Billson, DA Hutchins, DP Liddicott, JA Covington IEEE Sensors Journal , 2025 2025 Citations: 2
Multi-scent olfactory display with visual and sound interaction C Wang, E Daulton, JA Covington International Journal of Human-Computer Studies 197, 103421 , 2025 2025 Citations: 6
Discrimination of inherent characteristics of susceptible and resistant strains of Anopheles gambiae by explainable artificial intelligence analysis of flight trajectories YM Qureshi, V Voloshin, K Gleave, H Ranson, PJ McCall, JA Covington, ... Scientific Reports 15 (1), 6759 , 2025 2025 Citations: 4
Diagnostic accuracy of the faecal immunochemical test and volatile organic compound analysis in detecting colorectal polyps: meta-analysis A Afzal, YS Aranan, T Roberts, J Covington, L Vidal, S Ahmed, T Gill, ... BJS open 9 (1), zrae154 , 2025 2025 Citations: 3
Triplet calibration for general-purpose electronic noses Z Wu, F Tian, JA Covington, H Li, S Deng, Y Liu, J Li Microchemical Journal 209, 112652 , 2025 2025 Citations: 4
Machine learning reveals immediate disruption in mosquito flight when exposed to Olyset nets YM Qureshi, V Voloshin, A Guy, H Ranson, PJ McCall, JA Covington, ... Current Research in Parasitology & Vector-Borne Diseases 7, 100273 , 2025 2025 Citations: 3
Faecal volatile organic compounds to detect colorectal neoplasia in Lynch syndrome—a prospective longitudinal multicentre study ELSA van Liere, D Ramsoekh, E Daulton, M Dakkak, JM van Lingen, ... Alimentary Pharmacology & Therapeutics 61 (1), 145-158 , 2025 2025 Citations: 8
Application of gas sensor technology to locate victims in mass disasters–a review H Karami, B Thurn, NK de Boer, J Ramos, JA Covington, J Lozano, T Liu, ... Natural Hazards 121 (1), 31-60 , 2025 2025 Citations: 10
Discrimination of inherent characteristics of susceptible and resistant strains of Anopheles gambiae by explainable Artificial Intelligence Analysis of Flight Trajectories YM Qureshi, V Voloshin, K Gleave, H Ranson, PJ McCall, CE Towers, ... 2024
Indium oxide thick-films decorated with PdO and PtO 2 particles for oxygen detection in humid environments WP Sari, AP Rifai, P Smith, SO Agbroko, J Covington Physica Scripta 99 (12), 125028 , 2024 2024 Citations: 2
Development and analysis of an artificial olfactory bulb H Li, JA Covington, F Tian, Z Wu, Y Liu, L Hu Talanta 279, 126551 , 2024 2024 Citations: 3
A Novel Mechanism Based on Oxygen Vacancies to Describe Isobutylene and Ammonia Sensing of p-Type Cr 2 O 3 and Ti-Doped Cr 2 O 3 Thin Films P Zhou, JH Tsang, C Blackman, Y Shen, J Liang, JA Covington, J Saffell, ... Chemosensors 12 (10), 218 , 2024 2024 Citations: 9
MOST CITED SCHOLAR PUBLICATIONS
CMOS interfacing for integrated gas sensors: A review JW Gardner, PK Guha, F Udrea, JA Covington IEEE Sensors Journal 10 (12), 1833-1848 , 2010 2010 Citations: 261
Detection of colorectal cancer (CRC) by urinary volatile organic compound analysis RP Arasaradnam, MJ McFarlane, C Ryan-Fisher, E Westenbrink, ... PloS one 9 (9), e108750 , 2014 2014 Citations: 211
Analog VLSI circuit implementation of an adaptive neuromorphic olfaction chip TJ Koickal, A Hamilton, SL Tan, JA Covington, JW Gardner, TC Pearce IEEE Transactions on Circuits and Systems I: Regular Papers 54 (1), 60-73 , 2007 2007 Citations: 181
Next generation diagnostic modalities in gastroenterology–gas phase volatile compound biomarker detection RP Arasaradnam, JA Covington, C Harmston, CU Nwokolo Alimentary pharmacology & therapeutics 39 (8), 780-789 , 2014 2014 Citations: 177
Development and application of a new electronic nose instrument for the detection of colorectal cancer E Westenbrink, RP Arasaradnam, N O'Connell, C Bailey, C Nwokolo, ... Biosensors and Bioelectronics 67, 733-738 , 2015 2015 Citations: 166
Field-effect mobility temperature modeling of 4H-SiC metal-oxide-semiconductor transistors A Pérez-Tomás, P Brosselard, P Godignon, J Millán, N Mestres, ... Journal of applied physics 100 (11) , 2006 2006 Citations: 163
A polymer gate FET sensor array for detecting organic vapours JA Covington, JW Gardner, D Briand, NF De Rooij Sensors and Actuators B: Chemical 77 (1-2), 155-162 , 2001 2001 Citations: 153
The interplay of the gut microbiome, bile acids, and volatile organic compounds NM Sagar, IA Cree, JA Covington, RP Arasaradnam Gastroenterology research and practice 2015 (1), 398585 , 2015 2015 Citations: 143
ZnO nanowires grown on SOI CMOS substrate for ethanol sensing S Santra, PK Guha, SZ Ali, P Hiralal, HE Unalan, JA Covington, ... Sensors and Actuators B: Chemical 146 (2), 559-565 , 2010 2010 Citations: 143
Pd-doped reduced graphene oxide sensing films for H2 detection PA Pandey, NR Wilson, JA Covington Sensors and Actuators B: Chemical 183, 478-487 , 2013 2013 Citations: 142
Design and Development of a Low‐Cost, Portable Monitoring Device for Indoor Environment Quality A Tiele, S Esfahani, J Covington Journal of Sensors 2018 (1), 5353816 , 2018 2018 Citations: 136
Design and simulations of SOI CMOS micro-hotplate gas sensors F Udrea, JW Gardner, D Setiadi, JA Covington, T Dogaru, CC Lu, ... Sensors and Actuators B: Chemical 78 (1-3), 180-190 , 2001 2001 Citations: 136
Artificial Olfaction in the 21 st Century JA Covington, S Marco, KC Persaud, SS Schiffman, HT Nagle IEEE Sensors Journal 21 (11), 12969-12990 , 2021 2021 Citations: 131
A miniature flow sensor fabricated by micro-stereolithography employing a magnetite/acrylic nanocomposite resin SJ Leigh, CP Purssell, J Bowen, DA Hutchins, JA Covington, DR Billson Sensors and Actuators A: Physical 168 (1), 66-71 , 2011 2011 Citations: 131
Ultrasensitive detection of dopamine using a carbon nanotube network microfluidic flow electrode S Sansuk, E Bitziou, MB Joseph, JA Covington, MG Boutelle, PR Unwin, ... Analytical chemistry 85 (1), 163-169 , 2013 2013 Citations: 128
The application of FAIMS gas analysis in medical diagnostics JA Covington, MPV Der Schee, ASL Edge, B Boyle, RS Savage, ... Analyst 140 (20), 6775-6781 , 2015 2015 Citations: 119
Micro-gas-sensor with conducting polymers Q Fang, DG Chetwynd, JA Covington, CS Toh, JW Gardner Sensors and Actuators B: Chemical 84 (1), 66-71 , 2002 2002 Citations: 114
Nutrient (C, N and P) enrichment induces significant changes in the soil metabolite profile and microbial carbon partitioning RW Brown, DR Chadwick, GD Bending, CD Collins, HL Whelton, ... Soil Biology and Biochemistry 172, 108779 , 2022 2022 Citations: 113
Novel design and characterisation of SOI CMOS micro-hotplates for high temperature gas sensors PK Guha, SZ Ali, CCC Lee, F Udrea, WI Milne, T Iwaki, JA Covington, ... Sensors and Actuators B: Chemical 127 (1), 260-266 , 2007 2007 Citations: 111
Fabrication of versatile channel flow cells for quantitative electroanalysis using prototyping ME Snowden, PH King, JA Covington, JV Macpherson, PR Unwin Analytical chemistry 82 (8), 3124-3131 , 2010 2010 Citations: 107
