Evaluating of IAQ-Index and TVOC Parameter-Based Sensors for Hazardous Gases Detection and Alarming Systems

Al-Okby, Mohammed Faeik Ruzaij; Neubert, S.; Roddelkopf, Thomas; Fleischer, Heidi; Thurow, Kerstin

doi:10.3390/s22041473

Cited by 13 publications

(15 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Comparing the current results of the general performance of the SGP41 gas sensor with the results in previous studies [ 11 , 13 , 19 ] for SGP30, SGP40, and BME680 shows that the SGP41 sensor has a better response to most of the VOCs that were previously tested, in addition to its better selectivity due to it containing an additional sensing layer for nitrogen oxides, which makes it a better choice for new designs of air pollution monitoring devices and harmful gas detectors.…”

Section: Discussionsupporting

confidence: 62%

“…Nowadays, semiconductor metal oxide sensors are commonly used due to some of their attractive properties such as low cost, small size, long life, ease of use, and their ability to detect a wide range of chemical gases and vapors. In addition, they are characterized by the ease of adjusting their output, which is usually in the form of a change in the electrical impedance of the sensing material [ 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the integration, testing, and evaluation of the new SGP41 (Sensirion AG, Stafa, Switzerland) metal oxide semiconductor (MOX) gas sensor are described. The sensor is a replacement for the old versions (SGP30, SGP40) produced by the same manufacturer [ 13 , 19 ]. The sensor has been integrated into an IoT-based portable sensor node for ambient monitoring as well as detecting and reporting the leakages of hazardous gases and vapors.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories

Al-Okby

Roddelkopf

Fleischer

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

Air pollution and leakages of hazardous and toxic gases and chemicals are among the dangers that frequently occur at automated chemical and life science laboratories. This type of accident needs to be processed as soon as possible to avoid the harmful side effects that can happen when a human is exposed. Nitrogen oxides and volatile organic compounds are among the most prominent indoor air pollutants, which greatly affect the lifestyles in these places. In this study, a commercial MOX gas sensor, SGP41, was embedded in an IoT environmental sensor node for hazardous gas detection and alarm. The sensor can detect several parameters, including nitrogen oxide index (NOx-Index) and volatile organic compound index (VOC-Index). Several tests were conducted to detect the leakage of nitrogen oxides and volatile organic compounds in different concentrations and volumes, as well as from different leakage distances, to measure the effect of these factors on the response speed and recovery time of the sensors used. These factors were also compared between the different sensors built into the sensor node to give a comprehensive picture of the system used. The system testing results revealed that the SGP41 sensor is capable of implementing the design purposes for the target parameters, can detect a small NO2 gas leakage starting from 0.3% volume, and can detect all the tested VOC solvents ≥ 100 µL

show abstract

Section: Discussionsupporting

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories

Al-Okby

Roddelkopf

Fleischer

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…The using of chemical gas sensors has increased rapidly in recent years due to their numerous applications such as environmental monitoring, healthcare, industrial processes, food safety, and defense. [ 11–13 ] Metal oxide semiconductor materials were long considered as leading candidates for gas detection in the early 1960s. However, metal oxides are usually operated at elevated temperatures, which require the incorporation of a microheater with the sensing material.…”

Section: Introductionmentioning

confidence: 99%

Highly Sensitive and Selective Detection of Dimethyl Methyl Phosphonate with Copolymer‐Based QCM Sensors

Öztürk,

Kösemen,

Şen

et al. 2024

Macro Materials & Eng

View full text Add to dashboard Cite

In this work, the volatile organic compounds (VOCs) sensing properties of a quartz crystal microbalance (QCM) transducer coated with six different poly(3‐methylthiophene) (P3MT) copolymerized with polypyrrole (PPy) are investigated. The sensor preparation involves the electrochemical deposition of P3MT, PPy, and P3MT‐co‐PPy on Au‐coated QCM transducers by electrochemical deposition techniques with a three‐electrode cell. The structural properties of the copolymer films are characterized using scanning electron microscopy, and their oxidation/reduction behavior is investigated through cyclic voltammetry. The copolymer‐based QCM sensors exhibit high sensitivity and selectivity to dimethyl methyl phosphonate and benzonitrile, even at low concentrations (<1 ppm) at room temperature. Langmuir, Freundlich, Temkin, and Dubinin–Radushkevich adsorption isotherms are studied to understand the VOCs sensing mechanism machine learning classification algorithms including quadratic discriminant (QD), neural nets, K‐nearest neighbors, linear discriminant, and support vector machines are applied to classify the sensor responses for the 12 different analytes. With the help of machine learning algorithms, tested analytes are successfully classified into their groups. The highest accuracy of 97.34% is achieved using the QD method. The developed sensor, combined with machine learning algorithms, shows promising potential for accurate and reliable detection and classification of VOCs.

show abstract

“…Dangerous gases are sufficiently toxic or reactive substances that vigorously or violently give off heat and energy, and become poisonous in contact with air, water, or some other common material. They can be classified in various ways, including acutely toxic, corrosive, flammable, dangerously reactive, and oxidizing compounds [1][2][3][4][5][6][7]. Toxic compounds include hydrogen chloride, benzene or toluene, dioxin, and volatile organic compounds (VOCs, such as hydrocarbons, fluorocarbons, chlorofluorocarbons.…”

Section: Introductionmentioning

confidence: 99%

Mobile Gas Sensing for Laboratory Infrastructure

Sarif,

Al-Okby,

Roddelkopf

et al. 2024

IIUMEJ

Self Cite

View full text Add to dashboard Cite

Indoor air quality has become a growing concern in modern society due to prolonged indoor working hours that lead to the frequent exposure to numerous toxic gases from various sources. These pollutants, including volatile organic compounds (VOCs), pose severe health risks such as asthma and lung cancer. To address this critical issue, this project focuses on developing and evaluating an advanced gas detection system that explicitly targets VOCs by integrating two novel metal oxide semiconductor (MOX)-based gas sensors, ENS 160 and TED110. Different sensor parameters, such as the air quality index (AQI) and volatile organic compounds (VOCs), were evaluated using 12 volatile organic chemicals. The findings revealed that the ENS 160 sensor performs excellently, detecting 60 gas samples out of 72, with an average detection rate of approximately 83%. In contrast, the TED110 sensor demonstrated considerably lower performance and response in 24 out of 72 gas samples, with a detection rate of about 33%. The results contribute insights into the gas sensor's characteristics, providing essential information to enhance indoor air quality monitoring technology, particularly in laboratory environments. ABSTRAK: Setiap hari, banyak gas toksik, letupan dan beracun berlaku di dalam dan di luar rumah daripada pelbagai sumber. Dalam masyarakat moden, kebanyakan orang menghabiskan 90% masa bekerja mereka di dalam rumah; oleh itu, kualiti udara dalaman secara beransur-ansur bertambah buruk daripada suasana luar. Projek ini sedang membangunkan sistem pengesanan dan pemantauan moden yang canggih untuk mengesan pelbagai gas berbahaya, seperti sebatian organik meruap (VOC). Dua penderia gas berasaskan semikonduktor oksida logam (MOX) novel telah diperkenalkan dalam projek ini dengan mikropengawal yang dikemas kini untuk pemerolehan data dan pemprosesan data. Tambahan pula, parameter sensor yang berbeza (AQI, TVOC) telah dinilai dengan 12 bahan kimia organik yang tidak menentu. Semua ujian telah dijalankan dalam tudung kimia tradisional dengan tiga kuantiti sampel yang berbeza (5?L, 10?L, 50?L) pada jarak 40 cm dan 100 cm. Akhir sekali, volum minimum yang boleh dikesan berdasarkan jarak antara nod sensor dan sumber bocor telah dianalisis selepas eksperimen yang meluas dengan kedua-dua sensor. Sensor ENS 160 sedang mengesan 60 sampel gas daripada 72, dalam ketiga-tiga parameter seperti AQI, TVOC dan kadar pengesanan CO2 sekitar 83%. TED110 menunjukkan prestasi yang sangat rendah; ia telah bertindak balas kepada 24 daripada 72 sampel gas, dan kadar pengesanan ialah 33%.

show abstract

Evaluating of IAQ-Index and TVOC Parameter-Based Sensors for Hazardous Gases Detection and Alarming Systems

Cited by 13 publications

References 14 publications

Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories

Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories

Highly Sensitive and Selective Detection of Dimethyl Methyl Phosphonate with Copolymer‐Based QCM Sensors

Mobile Gas Sensing for Laboratory Infrastructure

Contact Info

Product

Resources

About