{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T16:29:11Z","timestamp":1781886551084,"version":"3.54.5"},"reference-count":52,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T00:00:00Z","timestamp":1587340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008982","name":"Qatar National Research Fund","doi-asserted-by":"publisher","award":["NPRP10-0102-170094"],"award-info":[{"award-number":["NPRP10-0102-170094"]}],"id":[{"id":"10.13039\/100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Electrochemical gas sensors require regular maintenance to check and secure proper functioning. Standard procedures usually involve testing and recalibration of the sensors, for which working environments are needed. Periodic calibration is therefore necessary to ensure reliable and accurate measurements. This paper proposes a dedicated smart calibration rig with a set of novel features enabling simultaneous calibration of multiple sensors. The proposed calibration rig system comprises a gas mixing system, temperature control system, a test chamber, and a process-control PC that controls all calibration phases. The calibration process is automated by a LabVIEW-based platform that controls the calibration environment for the sensor nodes, logs sensor data, and best fit equation based on interpolation for every sensor on the node and uploads it to the sensor node for next deployments. The communication between the PC and the sensor nodes is performed using the same IEEE 802.15.4 (ZigBee) protocol that the nodes also use in field deployment for air quality measurement. The results presented demonstrate the effectiveness of the sensors calibration rig.<\/jats:p>","DOI":"10.3390\/s20082341","type":"journal-article","created":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T04:49:38Z","timestamp":1587444578000},"page":"2341","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A Smart Rig for Calibration of Gas Sensor Nodes"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5340-1981","authenticated-orcid":false,"given":"Mohieddine A.","family":"Benammar","sequence":"first","affiliation":[{"name":"Electrical Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sabbir H. M.","family":"Ahmad","sequence":"additional","affiliation":[{"name":"Electrical Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1309-0637","authenticated-orcid":false,"given":"Abderrazak","family":"Abdaoui","sequence":"additional","affiliation":[{"name":"Electrical Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hasan","family":"Tariq","sequence":"additional","affiliation":[{"name":"Electrical Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9495-2157","authenticated-orcid":false,"given":"Farid","family":"Touati","sequence":"additional","affiliation":[{"name":"Electrical Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5344-1294","authenticated-orcid":false,"given":"Mohammed","family":"Al-Hitmi","sequence":"additional","affiliation":[{"name":"Electrical Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Damiano","family":"Crescini","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Brescia University, 25121 Brescia, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.1109\/JSEN.2015.2498544","article-title":"Amperometric NO x sensor based on oxygen reduction","volume":"16","author":"Soykal","year":"2015","journal-title":"IEEE Sens. J."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1088\/0957-0233\/5\/7\/001","article-title":"Techniques for measurement of oxygen and air-to-fuel ratio using zirconia sensors. A review","volume":"5","author":"Benammar","year":"1994","journal-title":"Meas. Sci. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"237","DOI":"10.5194\/jsss-6-237-2017","article-title":"High-temperature CO\/HC gas sensors to optimize firewood combustion in low-power fireplaces","volume":"6","author":"Ojha","year":"2017","journal-title":"J. Sens. Sens. Syst."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"140","DOI":"10.3390\/metabo5010140","article-title":"Advances in electronic-nose technologies for the detection of volatile biomarker metabolites in the human breath","volume":"5","author":"Wilson","year":"2015","journal-title":"Metabolites"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.aca.2014.03.014","article-title":"Solid-state gas sensors for breath analysis: A review","volume":"824","author":"Paolesse","year":"2014","journal-title":"Anal. Chim. Acta"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1788","DOI":"10.1021\/acssensors.7b00564","article-title":"Organic gas sensor with an improved lifetime for detecting breath ammonia in hemodialysis patients","volume":"2","author":"Chuang","year":"2017","journal-title":"ACS Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"5099","DOI":"10.3390\/s90705099","article-title":"Applications and advances in electronic-nose technologies","volume":"9","author":"Wilson","year":"2009","journal-title":"Sensors"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Cui, S., Ling, P., Zhu, H., and Keener, H.M. (2018). Plant pest detection using an artificial nose system: A review. Sensors, 18.","DOI":"10.3390\/s18020378"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Szulczynski, B., Namiesnik, J., and Gebicki, J. (2017). Determination of odour interactions of three-component gas mixtures using an electronic nose. Sensors, 17.","DOI":"10.3390\/s17102380"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"7350","DOI":"10.1109\/TIE.2017.2694353","article-title":"Sensor array optimization of electronic nose for detection of bacteria in wound infection","volume":"64","author":"Sun","year":"2017","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Ma, L., Wang, L., Chen, R., Chang, K., Wang, S., Hu, X., Sun, X., Lu, Z., Sun, H., and Guo, Q. (2016). A low cost compact measurement system constructed using a smart electrochemical sensor for the real-time discrimination of fruit ripening. Sensors, 16.","DOI":"10.3390\/s16040501"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"6425","DOI":"10.3390\/s110606425","article-title":"Low-cost gas sensors produced by the graphite line-patterning technique applied to monitoring banana ripeness","volume":"11","author":"Manzoli","year":"2011","journal-title":"Sensors"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/j.atmosenv.2012.06.088","article-title":"Mobile monitoring of particle number concentration and other traffic-related air pollutants in a near-highway neighborhood over the course of a year","volume":"61","author":"Patton","year":"2012","journal-title":"Atmos. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/S0925-4005(03)00244-2","article-title":"Development of a micromachined hazardous gas sensor array","volume":"93","author":"Mitzner","year":"2003","journal-title":"Sens. Actuators B Chem."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.jhazmat.2014.05.044","article-title":"Rapid and selective detection of acetone using hierarchical ZnO gas sensor for hazardous odor markers application","volume":"276","author":"Jia","year":"2014","journal-title":"J. Hazard. Mater."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Manes, G., Collodi, G., Gelpi, L., Fusco, R., Ricci, G., Manes, A., and Passafiume, M. (2016). Realtime gas emission monitoring at hazardous sites using a distributed point-source sensing infrastructure. Sensors, 16.","DOI":"10.3390\/s16010121"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"S91","DOI":"10.1097\/01.ede.0000362984.98566.ed","article-title":"US Environmental Protection Agency\u2019s (EPA) 2008 Report on the Environment (ROE): Identified Gaps and Future Challenges for Human Exposure and Health Indicators","volume":"20","author":"Murphy","year":"2009","journal-title":"Epidemiology"},{"key":"ref_18","first-page":"12857","article-title":"Use of a mobile laboratory to evaluate changes in on-road air pollutants during the Beijing 2008 Summer Olympics","volume":"9","author":"Wang","year":"2009","journal-title":"Atmos. Chem. Phys. Discuss."},{"key":"ref_19","unstructured":"Ionel, I., and Popescu, F. (2020, April 11). Methods for Online Monitoring of Air Pollution Concentration. Available online: https:\/\/www.intechopen.com\/books\/air-quality\/methods-for-online-monitoring-of-air-pollution-concentration."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Petrov, D.V., Matrosov, I., and Tikhomirov, A. (2015, January 22\u201326). Raman gas analyzer applicability to monitoring of gaseous air pollution. Proceedings of the 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics, International Society for Optics and Photonics, Tomsk, Russia.","DOI":"10.1117\/12.2205330"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0925-4005(00)00439-1","article-title":"Array of thick film sensors for atmospheric pollutant monitoring","volume":"68","author":"Carotta","year":"2000","journal-title":"Sens. Actuators B Chem."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.atmosenv.2012.11.060","article-title":"The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks","volume":"70","author":"Mead","year":"2013","journal-title":"Atmos. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"27283","DOI":"10.3390\/s151027283","article-title":"Quantification method for electrolytic sensors in long-term monitoring of ambient air quality","volume":"15","author":"Masson","year":"2015","journal-title":"Sensors"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Xu, J., Setiono, A., Bertke, M., Strempel, K., Markiewicz, N., Schmidt, A., Waag, A., Prades, J.D., and Peiner, E. (2019, January 23\u201327). Piezoresistive Microcantilevers 3D-Patterned Using Zno-Nanorods@Silicon-Nanopillars for Room-Temperature Ethanol Detection. Proceedings of the 2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (Transducers & Eurosensors XXXIII), Berlin, Germany.","DOI":"10.1109\/TRANSDUCERS.2019.8808821"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Markiewicz, N., Casals, O., Fatahilah, M.F., Xu, J., Schmidt, A., Wasisto, H.S., Peiner, E., Waag, A., and Prades, J.D. (2019, January 23\u201327). Ultra Low Power Mass-Producible Gas Sensor Based on Efficient Self-Heated GaN Nanorods. Proceedings of the 2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (Transducers & Eurosensors XXXIII), Berlin, Germany.","DOI":"10.1109\/TRANSDUCERS.2019.8808234"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.snb.2015.03.031","article-title":"Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide","volume":"215","author":"Spinelle","year":"2015","journal-title":"Sens. Actuators B Chem."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.snb.2014.11.032","article-title":"Approach for quantification of metal oxide type semiconductor gas sensors used for ambient air quality monitoring","volume":"208","author":"Masson","year":"2015","journal-title":"Sens. Actuators B Chem."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"5281","DOI":"10.5194\/amt-9-5281-2016","article-title":"Community Air Sensor Network (CAIRSENSE) project: Evaluation of low-cost sensor performance in a suburban environment in the southeastern United States","volume":"9","author":"Jiao","year":"2016","journal-title":"Meas. Technol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1297","DOI":"10.5194\/amt-11-1297-2018","article-title":"Field calibration of electrochemical NO2 sensors in a citizen science context","volume":"11","author":"Mijling","year":"2018","journal-title":"Atmos. Meas. Technol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"291","DOI":"10.5194\/amt-11-291-2018","article-title":"A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring","volume":"11","author":"Zimmerman","year":"2018","journal-title":"Atmos. Meas. Technol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"315","DOI":"10.5194\/amt-11-315-2018","article-title":"Calibration and assessment of electrochemical air quality sensors by co-location with regulatory-grade instruments","volume":"11","author":"Hagan","year":"2018","journal-title":"J. Atmos. Meas. Technol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1016\/j.envpol.2017.09.042","article-title":"Node-to-node field calibration of wireless distributed air pollution sensor network","volume":"233","author":"Kizel","year":"2018","journal-title":"Environ. Pollut."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Sun, L., Westerdahl, D., and Ning, Z. (2017). Development and evaluation of a novel and cost-effective approach for low-cost NO2 sensor drift correction. Sensors, 17.","DOI":"10.3390\/s17081916"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.atmosenv.2017.10.003","article-title":"Development of an environmental chamber for evaluating the performance of low-cost air quality sensors under controlled conditions","volume":"171","author":"Papapostolou","year":"2017","journal-title":"Atmos. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"055903","DOI":"10.1088\/0957-0233\/25\/5\/055903","article-title":"Gas mixing apparatus for automated gas sensor characterization","volume":"25","author":"Helwig","year":"2014","journal-title":"Meas. Sci. Technol."},{"key":"ref_36","unstructured":"Hasenfratz, D., Saukh, O., and Thiele, L. (2012, January 15\u201317). On-the-fly calibration of low-cost gas sensors. Proceedings of the 9th European Conference on Wireless Sensor Networks (EWSN2012), Trento, Italy."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1192","DOI":"10.1109\/JSEN.2012.2231066","article-title":"Dynamic calibration of electrochemical sensor for accelerated analyte quantification","volume":"13","author":"Yang","year":"2012","journal-title":"IEEE Sens. J."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1243","DOI":"10.1007\/s11071-018-4421-9","article-title":"Primary resonance analysis and vibration suppression for the harmonically excited nonlinear suspension system using a pair of symmetric viscoelastic buffers","volume":"94","author":"Sun","year":"2018","journal-title":"Nonlinear Dyn."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1016\/j.snb.2016.07.036","article-title":"Field calibration of a cluster of low-cost commercially available sensors for air quality monitoring. Part B: NO, CO and CO2","volume":"238","author":"Spinelle","year":"2017","journal-title":"Sens. Actuators B Chem."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3575","DOI":"10.5194\/amt-10-3575-2017","article-title":"Use of electrochemical sensors for measurement of air pollution: Correcting interference response and validating measurements","volume":"10","author":"Cross","year":"2017","journal-title":"Atmos. Meas. Technol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"30732","DOI":"10.1109\/ACCESS.2019.2897754","article-title":"A predictive data feature exploration-based air quality prediction approach","volume":"7","author":"Zhang","year":"2019","journal-title":"IEEE Access"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"62592","DOI":"10.1109\/ACCESS.2019.2916826","article-title":"Environment-Adaptive Calibration System for Outdoor Low-Cost Electrochemical Gas Sensors","volume":"7","author":"Tian","year":"2019","journal-title":"IEEE Access"},{"key":"ref_43","unstructured":"Union, E. (2020, April 09). Horizon 2020, Captor Project. Available online: https:\/\/www.captor-project.eu\/en\/."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Benammar, M., Abdaoui, A., Ahmad, S.H., Touati, F., and Kadri, A. (2018). A modular IoT platform for real-time indoor air quality monitoring. Sensors, 18.","DOI":"10.3390\/s18020581"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1553","DOI":"10.1021\/acssensors.7b00620","article-title":"Amperometric gas sensors as a low cost emerging technology platform for air quality monitoring applications: A review","volume":"2","author":"Baron","year":"2017","journal-title":"ACS Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"7079","DOI":"10.3390\/s130607079","article-title":"A novel solid state non-dispersive infrared CO2 gas sensor compatible with wireless and portable deployment","volume":"13","author":"Gibson","year":"2013","journal-title":"Sensors"},{"key":"ref_47","unstructured":"Libelium (2020, April 09). Smart Gases 3.0 Technical Guide, Document Version: v7.1\u201402\/2017. Available online: http:\/\/www.libelium.com\/downloads\/documentation\/gases_sensor_board_3.0.pdf."},{"key":"ref_48","unstructured":"Instrument, N. (2020, April 05). General Polynomial Fit VI. Available online: https:\/\/zone.ni.com\/reference\/en-XX\/help\/371361R-01\/gmath\/general_polynomial_fit\/."},{"key":"ref_49","unstructured":"Oppenheim, A.V., Buck, J.R., and Schafer, R.W. (2001). Discrete-Time Signal Processing, Prentice Hall, Inc."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"3453","DOI":"10.1063\/1.332953","article-title":"The use of linear predictive modeling for the analysis of transients from experiments on semiconductor defects","volume":"55","author":"Shapiro","year":"1984","journal-title":"J. Appl. Phys."},{"key":"ref_51","unstructured":"Box, G.E., Jenkins, G., and Gwilym, M. (1976). Time Series Analysis: Forecasting and Control, Revised Edition, Editorial Holden-Day."},{"key":"ref_52","unstructured":"Tamhane, A., and Dunlop, D. (2000). Statistics and Data Analysis: From Elementary to Intermediate, Prentice-Hall."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/8\/2341\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:45:13Z","timestamp":1760363113000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/8\/2341"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,20]]},"references-count":52,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2020,4]]}},"alternative-id":["s20082341"],"URL":"https:\/\/doi.org\/10.3390\/s20082341","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,20]]}}}