EVERGREEN

Joint Journal of Novel Carbon Resource Sciences and Green Asia Strategy

ISSN:2189-0420 (Print until Mar 2020)
ISSN:2432-5953 (Online)

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Development and Evaluation of a Portable Dilution-Based Gas Mixer System for On-Site Calibration of Low-Cost Sensors in Ambient Air Monitoring

Rudi Anggoro Samodro1,*, Gigin Ginanjar1, Yonan Prihhapso1, Muhammad Rizky Mulyana1, Miftahul Munir1, Dinar Nurcahyono1, Bondan Dwisetyo1
1Research Center for Equipment Manufacturing Technology, National Research and Innovation Agency of Indonesia (BRIN), Tangerang Selatan, Indonesia
*Author to whom correspondence should be addressed:
E-mail: rrud001@brin.go.id (RAS)
Evergreen, Vol. 13, Iss. 01, pp. 387–395, 2026
DOI: 10.5109/7411073
Creative Commons Attribution 4.0 International Creative Commons Attribution 4.0 International
Received: May 28, 2025 | Revised: January 08, 2026 | Accepted: March 10, 2026 | Published: March 2026
Abstract
Low-cost sensors are increasingly being used to measure various fields, including environmental monitoring. However, their accuracy relies on regular calibration using known gas mixture concentrations. This study presents the development and evaluation of a portable dilution-based gas mixture (DGM) system designed for on-site calibration of low-cost oxygen sensors. The system utilizes 99.999 %mol/mol oxygen and nitrogen gases blended via two portable mass flow controllers, operated by a LabVIEW interface. Calibration was performed at 30 %mol/mol, 60 %mol/mol, and 90 %mol/mol oxygen concentrations, and validated using certified reference gas mixtures. The observed measurement errors were 0.046 %mol/mol, –0.002 %mol/mol, and –1.952 %mol/mol, respectively. These results confirm high accuracy and repeatability, aligning with the Indonesian standard SNI 9178:2023. This system provides a cost-effective, traceable, and field-deployable solution for sensor calibration, which is particularly beneficial for expanding the monitoring of ambient air quality in resource-limited settings.
Keywords
calibration; dilution; gas mixture; low-cost sensor; SNI 9178:2023
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References
  1. 1) F. Concas et al., "Low-cost outdoor air quality monitoring and sensor calibration," ACM Transactions on Sensor Networks, 17 (2) 1-44 (2021) doi:10.1145/3446005
  2. 2) D. Singh, and A. Singh, "Role of building automation technology in creating a smart and sustainable built environment," Evergreen, 10 (1) 412-420 (2023) doi:10.5109/6781101
  3. 3) M. Ayundyahrini, N. D. A. Susanto, H. Febriansyah, N. F. M. Rizanulhaq, and N. G. H. Aditya, "Smart farming: Integrated solar water pumping irrigation system in Thailand," Evergreen 10 (1) 553-563 (2023) doi:10.5109/6782161
  4. 4) S. Morau, L. Macedo, E. Morais, R. Menegardo, J. Nedoma, R. Martinek, and A. Leal-Junior, "Low-cost AI-enabled optoelectronic wearable for GAIT and breathing monitoring: design, validation, and applications," Biosensors, 15 (9) 612 (2025) doi:10.3390/bios15090612
  5. 5) S. I. Lopes et al., "Low-cost sensor systems and IoT technologies for indoor air quality monitoring: instrumentation, models, implementation, and perspectives for validation," Sensors, 25 (24) 7567 (2025) doi:10.3390/s25247567
  6. 6) D. A. H. Fakra, D. A. S. Andriatoavina, N. A. M. N. Razafindralambo, K. A. Amarillis, and J. M. M. Andriamampianina, "A simple and low-cost integrative sensor system for methane and hydrogen measurement," Sensors International, 1 100032 (2020) doi:10.1016/j.sintl.2020.100032
  7. 7) L. Liang, and J. Daniels, "What influences low-cost sensor data calibration? - A systematic assessment of algorithms, duration, and predictor selection," Aerosol and Air Quality Research 22 (9) 220076 (2022) doi:10.4209/aaqr.220076
  8. 8) S. M. Abbas, J. A. Mohammed, and W. E. Abdul-Lateef, "Modeling and implementation of an open-loop single-axis solar tracking system driven by an SMA spring actuator," Evergreen, 11 (4) 3109-3118 (2024) doi:10.5109/7326949
  9. 9) T. Sulistyo, K. Achmad, and N. I. B. I. Purnama, "Empowering low-cost survey instrument for the stake-out measurements using android application," Evergreen, 8 (3) 610-617 (2021) doi:10.5109/4491653
  10. 10) Y. G. Wijaya et al., "A cost-effective solution for measuring vibration and impact on small twin engine electric fixed wing UAV," Evergreen, 11 (3) 2367-2385 (2024) doi:10.5109/7236880
  11. 11) L. Spinelle, M. Gerboles, G. Kok, S. Persijn, and T. Sauerwald, "Review of portable and low-cost sensors for the ambient air monitoring of benzene and other volatile organic compounds," Sensors, 17 (7) 1520 (2017) doi:10.3390/s17071520
  12. 12) N. H. Nguyen, H. X. Nguyen, T. T. B. Le, and C. D. Vu, "Evaluating low-cost commercially available sensors for air quality monitoring and application of sensor calibration methods for improving accuracy," Open Journal of Air Pollution, 10 (1) 1-17 (2021) doi:10.4236/ojap.2021.101001
  13. 13) B. Maag, Z. Zhou, and L. Thiele, "A survey on sensor calibration in air pollution monitoring deployments," IEEE Internet of Things Journal, 5 (6) 4857-4870 (2018) doi:10.1109/jiot.2018.2853660
  14. 14) V. D. Juyal and S. Kakran, "CNN-LSTM based weather forecasting and its application in a residential home energy management system," Evergreen, 11 (4) 3243-3253 (2024) doi:10.5109/7326959
  15. 15) H. Kim, M. Müller, S. Henne, and C. Hüglin, "Long-term behavior and stability of calibration models for NO and NO2 low-cost sensors," Atmospheric Measurement Techniques, 15 (9) 2979-2992 (2022) doi:10.5194/amt-15-2979-2022
  16. 16) A. Dewan, S. U. Ay, M. N. Karim, and H. Beyenal, "Alternative power sources for remote sensors: a review," Journal of Power Sources, 245 129-143 (2013) doi:10.1016/j.jpowsour.2013.06.081
  17. 17) M. R. García et al., "Review of low-cost sensors for indoor air quality: features and applications," Applied Spectroscopy Reviews, 57 (9-10) 747-779 (2022) doi:10.1080/05704928.2022.2085734
  18. 18) O. Bamodu, F. Osebor, L. Xia, A. Cheshmehzangi, and L. Tang, "Indoor environment monitoring based on humidity conditions using a low-cost sensor network," Energy Procedia, 145 464-471 (2018) doi:10.1016/j.egypro.2018.04.093
  19. 19) A. Bender, F.G.A. Francisco, and J. Sundberg, "A Review of Methods and Models for Environmental Monitoring of Marine Renewable Energy," Proceedings of the 12th European Wave and Tidal Energy Conference, 1092-1-10 (2017). https://uu.diva-portal.org/smash/get/diva2:1144892/FULLTEXT01.pdf
  20. 20) Shahnawaj and S. Chanana, "Cascaded Fractional Control approach for frequency regulation of multi-source power system integrating renewable energy resources," Evergreen, 11 (2) 949-963 (2024) doi:10.5109/7183377
  21. 21) J. Thorson, A. Collier-Oxandale, and M. Hannigan, "Using a low-cost sensor array and machine learning techniques to detect complex pollutant mixtures and identify likely sources," Sensors, 19 (17) 3723 (2019) doi:10.3390/s19173723
  22. 22) G. Tancev and F. G. Toro, "Variational bayesian calibration of low-cost gas sensor systems in air quality monitoring," Measurement Sensors, 19 100365 (2021) doi:10.1016/j.measen.2021.100365
  23. 23) T. Pisanu, S. Garau, P. Ortu, L. Schirru, and C. Macciò, "Prototype of a low-cost electronic platform for real time greenhouse environment monitoring: an agriculture 4.0 perspective," Electronics, 9 (5) 726 (2020) doi:10.3390/electronics9050726
  24. 24) D. D. Uyeh et al., "An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture," Computers and Electronics in Agriculture, 199 107139 (2022) doi:10.1016/j.compag.2022.107139
  25. 25) M. Si, Y. Xiong, S. Du, and K. Du, "Evaluation and calibration of a low-cost particle sensor in ambient conditions using machine-learning methods," Atmospheric Measurement Techniques, 13 (4) 1693-1707 (2020) doi:10.5194/amt-13-1693-2020
  26. 26) A. Bigi, M. Mueller, S. K. Grange, G. Ghermandi, and C. Hueglin, "Performance of NO, NO2 low-cost sensors and three calibration approaches within a real world application," Atmospheric Measurement Techniques, 11 (6) 3717-3735 (2018) doi:10.5194/amt-11-3717-2018
  27. 27) D. Shlenkevitch, S. Stolyarova, T. Blank, I. Brouk, and Y. Nemirovsky, "Novel miniature and selective combustion-type CMOS gas sensor for gas-mixture analysis—Part 1: emphasis on chemical aspects," Micromachines, 11 (4) 345 (2020) doi:10.3390/mi11040345
  28. 28) K. Aula, E. Lagerspetz, P. Nurmi, and S. Tarkoma, "Evaluation of low-cost air quality sensor calibration models," ACM Transactions on Sensor Networks, 18 (4) 1-32 (2022) doi:10.1145/3512889
  29. 29) H. Cui et al., "A new calibration system for low-cost sensor network in air pollution monitoring," Atmospheric Pollution Research, 12 (5) 101049 (2021) doi:10.1016/j.apr.2021.03.012
  30. 30) L. Liang, "Calibrating low-cost sensors for ambient air monitoring: techniques, trends, and challenges," Environmental Research, 197 111163 (2021) doi:10.1016/j.envres.2021.111163
  31. 31) A. Wang et al., "Leveraging machine learning algorithms to advance low-cost air sensor calibration in stationary and mobile settings," Atmospheric Environment, 301 119692 (2023) doi:10.1016/j.atmosenv.2023.119692
  32. 32) H. S. Russell et al., "Enhanced ambient sensing environment—a new method for calibrating low-cost gas sensors," Sensors, 22 (19) 7238 (2022) doi:10.3390/s22197238
  33. 33) V. S. Gamboa, É. J. Kinast, and M. Pires, "System for performance evaluation and calibration of low-cost gas sensors applied to air quality monitoring," Atmospheric Pollution Research, 14 (2) 101645 (2023) doi:10.1016/j.apr.2022.101645
  34. 34) "Low-cost sensors for the measurement of atmospheric composition: overview of topic and future applications," World Meteorological Organization. https://www.ccacoalition.org/resources/low-cost-sensors-measurement-atmospheric-composition-overview-topic-and-future-applications (accessed February 19, 2025)
  35. 35) "Gas analysis — Preparation of calibration gas mixtures," ISO 6142-1:2015. https://www.iso.org/standard/59631.html (accessed March 1, 2025)
  36. 36) H. Budiman, M. R. Mulyana, and O. Zuas, "Gravimetric dilution of calibration gas mixtures (CO2, CO, and CH4 in He balance): Toward their uncertainty estimation," AIP Conference Proceedings, 1803 020056 (2017) doi:10.1063/1.4973183
  37. 37) H. Budiman, M. R. Mulyana, and O. Zuas, "Preparation of calibration standard gas mixtures by primary gravimetric method: a case study on 960 μmol/mol of carbon dioxide in a nitrogen matrix," Engineering and Applied Science Research, 45 (3) 173-176 (2018) doi:10.14456/easr.2018.29
  38. 38) A. Hindayani, M. R. Mulyana, H. Budiman, N. T. E. Darmayanti, and O. Zuas, "Development of calibration gas mixtures (carbon dioxide and oxygen in nitrogen matrix) at a typical concentration range of modified atmosphere packaging," Periódico Tchê Química, 17 (36) 674-687 (2020) doi:10.52571/ptq.v17.n36.2020.689_periodico36_pgs_674_687.pdf
  39. 39) P. Veres et al., "Development and validation of a portable gas phase standard generation and calibration system for volatile organic compounds," Atmospheric Measurement Techniques, 3 (3) 683-691 (2010) doi:10.5194/amt-3-683-2010
  40. 40) D.-W. You, Y.-S. Seon, Y. Jang, J. Bang, J.-S. Oh, and K.-W. Jung, "A portable gas chromatograph for real-time monitoring of aromatic volatile organic compounds in air samples," Journal of Chromatography A, 1625 461267 (2020) doi:10.1016/j.chroma.2020.461267
  41. 41) L. Furst, M. Feliciano, L. Frare, and G. Igrejas, "A portable device for methane measurement using a low-cost semiconductor sensor: development, calibration and environmental applications," Sensors, 21 (22) 7456 (2021) doi:10.3390/s21227456
  42. 42) G. Wang et al., "Portable methane sensor system using miniature multi-pass cell for mobile monitoring of natural gas leaks," Sensors and Actuators B: Chemical, 431 137457 (2025) doi:10.1016/j.snb.2025.137457
  43. 43) "Ambient air – Performance test of an air quality monitoring device using a low-cost sensor," Indonesian National Standard SNI 9178:2023. https://pesta.bsn.go.id/produk/detail/14487-sni91782023 (accessed Mar 10, 2025)
  44. 44) T. Sauerwald et al., "Highly sensitive benzene detection with metal oxide semiconductor gas sensors – an inter-laboratory comparison," Journal of Sensors and Sensor Systems, 7 (1) 235-243 (2018) doi:10.5194/jsss-7-235-2018
  45. 45) T. Baur, M. Bastuck, C. Schultealbert, T. Sauerwald, and A. Schütze, "Random gas mixtures for efficient gas sensor calibration," Journal of Sensors and Sensor Systems, 9 (2) 411-424 (2020) doi:10.5194/jsss-9-411-2020
  46. 46) Z. Zhou, Y. Zhou, C. He, and Z. Bi, "Development of calibration device for on-line atmospheric gas analyzers," Measurement, 151 107265 (2019) doi:10.1016/j.measurement.2019.107265
  47. 47) V. Loianno and G. Mensitieri, "A novel dynamic method for the storage of calibration gas mixtures based on thermal mass flow controllers," Measurement Science and Technology, 33 (6) 065017 (2022) doi:10.1088/1361-6501/ac5a2f
  48. 48) F. Rolle, M. Sega, F. R. Pennecchi, P. G. Spazzini, S. Pavarelli, and M. Santiano, "Realisation and preliminary validation of a dilution device for the generation of CO2 gas mixtures," Measurement Sensors, 18 100242 (2021) doi:10.1016/j.measen.2021.100242
  49. 49) H. Nara, T. Saito, T. Umezawa, and Y. Tohjima, "A high-accuracy dynamic dilution method for generating reference gas mixtures of carbonyl sulfide at sub-nanomole-per-mole levels for long-term atmospheric observation," Atmospheric Measurement Techniques, 17 (17) 5187-5200 (2024) doi:10.5194/amt-17-5187-2024
  50. 50) Y. Liu, Q. Xue, H. Zuo, X. She, and J. Wang, "Effects of CO2 and N2 dilution on the characteristics and NOX emission of H2/CH4/CO/air partially premixed flame," International Journal of Hydrogen Energy, 47 (35) 15909-15921 (2022) doi:10.1016/j.ijhydene.2022.03.060
  51. 51) S. Zhang and Z. Lin, "Dilution-based evaluation of airborne infection risk - thorough expansion of Wells-Riley model," Building and Environment, 194 107674 (2021) doi:10.1016/j.buildenv.2021.107674
  52. 52) J. D. Raal and W. M. Nelson, "Gas chromatograph calibration of gas mixtures using a versatile precision volumetric apparatus," Review of Scientific Instruments, 93 (5) 054108 (2022) doi:10.1063/5.0083028
  53. 53) F. Rolle et al., "Generation of CO2 gas mixtures by dynamic dilution for the development of gaseous certified reference materials," Measurement Sensors, 24 100415 (2022) doi:10.1016/j.measen.2022.100415
  54. 54) A. V. Ega, G. Ginanjar, E. Firmansyah, and D. R. Utomo, "Study on the implementation of single pressure balance with iterative A-B-A-B-A method in the differential pressure calibration of ventilator tester," MAPAN - Journal of Metrology Society of India, 36 (3) 629-638 (2021) doi:10.1007/s12647-021-00499-1
  55. 55) M. Kojima, T. Kobata, K. Saitou, and M. Hirata, "Development of small differential pressure standard using double pressure balances," Metrologia, 42 (6) S227–S230 (2005) doi:10.1088/0026-1394/42/6/s18
  56. 56) T. Kobata and D. A. Olson, "Accurate determination of equilibrium state between two pressure balances using a pressure transducer," Metrologia, 42 (6) S231–S234 (2005) doi:10.1088/0026-1394/42/6/s19
  57. 57) S.-Y. Woo, I.-M. Choi, and H.-W. Song, "A low differential pressure standard in the range of 1 Pa to 31 kPa at KRISS," Metrologia, 46 (1) 125-128 (2009) doi:10.1088/0026-1394/46/1/016
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