Ammonia and ethanol detection via an electronic nose utilizing a bionic chamber and a sparrow search algorithm–optimized backpropagation neural network DOI Creative Commons

Yeping Shi,

Yunbo Shi,

Haodong Niu

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0309228 - e0309228

Published: Dec. 3, 2024

Ammonia is widely acknowledged to be a stressor and one of the most detrimental gases in animal enclosures. In livestock- poultry-breeding facilities, precise, rapid, affordable method for detecting ammonia concentrations essential. We design develop an electronic nose system containing bionic chamber that imitates nasal-cavity structure humans canines. The sensors are positioned based on fluid simulation results. Response data ethanol response/ recovery times sensor under three collected using system. classified regressed sparrow search algorithm (SSA)-optimized backpropagation neural network (BPNN). results show has relative mean deviation 1.45%. sensor’s output voltage 1.3–2.05 V when concentration ranges from 15 300 ppm. gas 1.89–3.15 8 200 average response time 13 s slower than directly exposed being measured, while 19 faster. tests comparing performance SSA-BPNN, support vector machine (SVM), random forest (RF) models, SSA-BPNN achieves 99.1% classification accuracy, better SVM RF models. It also outperforms other models at regression prediction, with smaller absolute, root square errors. Its coefficient determination (R 2 ) greater 0.99, surpassing those theoretical experimental both indicate proposed chamber, used offers promising approach facilities.

Language: Английский

Advancement of Remote Sensing for Soil Measurements and Applications: A Comprehensive Review DOI Open Access
Mukhtar Iderawumi Abdulraheem, Wei Zhang,

Shixin Li

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(21), P. 15444 - 15444

Published: Oct. 30, 2023

Remote sensing (RS) techniques offer advantages over other methods for measuring soil properties, including large-scale coverage, a non-destructive nature, temporal monitoring, multispectral capabilities, and rapid data acquisition. This review highlights the different detection methods, types, parts, applications of RS in measurements, as well disadvantages measurements properties. The choice depends on specific requirements task because it is important to consider limitations each method, context objective determine most suitable technique. paper follows well-structured arrangement after investigating existing literature ensure well-organized, coherent covers all essential aspects related studying advancement using While several remote are available, this suggests spectral reflectance, which entails satellite tools based its global high spatial resolution, long-term monitoring non-invasiveness, cost effectiveness. Conclusively, has improved property various but more research needed calibration, sensor fusion, artificial intelligence, validation, machine learning enhance accuracy applicability.

Language: Английский

Citations

57
Recent Advances in Dielectric Properties-Based Soil Water Content Measurements DOI Creative Commons
Mukhtar Iderawumi Abdulraheem, Hongjun Chen, Linze Li

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(8), P. 1328 - 1328

Published: April 10, 2024

Dielectric properties are crucial in understanding the behavior of water within soil, particularly soil content (SWC), as they measure a material’s ability to store an electric charge and influenced by other minerals soil. However, comprehensive review paper is needed that synthesizes latest developments this field, identifies key challenges limitations, outlines future research directions. In addition, various factors, such salinity, temperature, texture, probing space, installation gap, density, clay content, sampling volume, environmental influence measurement dielectric permittivity Therefore, aims address gap critically analyzing current state-of-the-art properties-based methods for SWC measurements. The motivation increasing importance precise data applications agriculture, monitoring, hydrological studies. We examine time domain reflectometry (TDR), frequency (FDR), ground-penetrating radar (GPR), remote sensing (RS), capacitance, which accurate cost-effective, enabling real-time resource management health through measuring travel electromagnetic waves reflection coefficient these waves. can be estimated using approaches, TDR, FDR, GPR, microwave-based techniques. These made possible loss factor with SWC. available further synthesized on basis mathematical models relating apparent providing updated their development, applications, monitoring. It also analyzes recent calibration models, algorithms, challenges, trends estimating By consolidating advances highlighting remaining article guide researchers practitioners toward more effective strategies

Language: Английский

Citations

17
Automated Detection of Porcine Gelatin Using Deep Learning-Based E-Nose to Support Halal Authentication DOI Open Access
Kunti Robiatul Mahmudah, Muhammad Kunta Biddinika, Dhias Cahya Hakika

et al.

Journal of Electronics Electromedical Engineering and Medical Informatics, Journal Year: 2025, Volume and Issue: 7(1), P. 220 - 230

Published: Jan. 13, 2025

Authenticating gelatin sources is essential for consumers, particularly those with dietary restrictions or religious concerns regarding pork-derived ingredients. Porcine gelatin, widely used in food and pharmaceutical products, poses considerable challenges authentication due to its prevalence the difficulty of detecting it, especially processed products. In this study, we developed evaluated an integrated electronic nose (e-nose) system a Recurrent Neural Network (RNN) detect classify type based on their sources. The e-nose utilized array gas sensors capture unique volatile organic compounds (VOCs) associated each type, which was subsequently classified by RNN. classification performance 7-module showed promising results time points after sample preparation, accuracy, sensitivity, AUC 96.3%, 96.6%, 98.2% at 0-hour point, respectively, rising 99.1% all three metrics 2-hour point. sensitivity also increase over single samples, from 100%, 97.8%, 91.9% 98.6%, 99.3%, 99.3% pig-derived, cow-derived, fish respectively. For mixed maintained high 98.2%, 97.9%, 98.1%, conclusion, demonstrates potential robust authentication, paving way more efficient reliable methods halal authentication.

Language: Английский

Citations

1
Resistive gas sensors for the detection of NH3 gas based on 2D WS2, WSe2, MoS2, and MoSe2: a review DOI
Ali Mirzaei, Morteza Alizadeh,

Hamid Reza Ansari

et al.

Nanotechnology, Journal Year: 2024, Volume and Issue: 35(33), P. 332002 - 332002

Published: May 14, 2024

Transition metal dichalcogenides (TMDs) with a two-dimensional (2D) structure and semiconducting features are highly favorable for the production of NH

Language: Английский

Citations

8
Micro robot as the feature of robotic in healthcare approach from design to application: the State of art and challenges DOI Creative Commons
Ata Jahangir Moshayedi, Amir Sohail Khan,

Mehdi Davari

et al.

EAI Endorsed Transactions on AI and Robotics, Journal Year: 2024, Volume and Issue: 3

Published: April 12, 2024

Micro robots, miniature robotic devices typically ranging from micrometers to a few millimeters in size, hold immense potential various fields, particularly healthcare. Their diminutive stature enables access intricate anatomical regions previously unreachable, facilitating targeted drug delivery, localized treatment, and precise monitoring. These robots offer numerous advantages, including enhanced maneuverability, reduced invasiveness, minimized tissue damage. By navigating through complex biological environments, micro can deliver therapies with unprecedented precision, improving treatment efficacy patient outcomes. Additionally, their small size allows for minimally invasive procedures, reducing recovery times enhancing comfort. Overall, represent groundbreaking technological advancement the revolutionize healthcare delivery significantly benefit human well-being.Their Despite challenges like constraints navigation complexities, innovative solutions interdisciplinary collaboration are driving

Language: Английский

Citations

5
Ammonia Detection by Electronic Noses for a Safer Work Environment DOI Creative Commons
Tiago Reis, Pedro Catalão Moura, Débora Gonçalves

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(10), P. 3152 - 3152

Published: May 15, 2024

Providing employees with proper work conditions should be one of the main concerns any employer. Even so, in many cases, shifts chronically expose workers to a wide range potentially harmful compounds, such as ammonia. Ammonia has been present composition products commonly used industries, namely production lines, and also laboratories, schools, hospitals, others. Chronic exposure ammonia can yield several diseases, irritation pruritus, well inflammation ocular, cutaneous, respiratory tissues. In more extreme is related dyspnea, progressive cyanosis, pulmonary edema. As such, use needs properly regulated monitored ensure safer environments. The Occupational Safety Health Administration European Agency for at Work have already commissioned regulations on acceptable limits Nevertheless, monitoring gas still not normalized because appropriate sensors difficult find commercially available products. To help promote promising methods developing sensors, this will compile compare results published so far.

Language: Английский

Citations

5
Chronoamperometric Ammonium Ion Detection in Water via Conductive Polymers and Gold Nanoparticles DOI Creative Commons
Roberta Farina, Silvia Scalese, D. Corso

et al.

Molecules, Journal Year: 2024, Volume and Issue: 29(13), P. 3028 - 3028

Published: June 26, 2024

Monitoring of ammonium ion levels in water is essential due to its significant impact on environmental and human health. This work aims fabricate characterize sensitive, real-time, low-cost, portable amperometric sensors for low NH

Language: Английский

Citations

5
Chemical precursor-dependent dual effect of doping on the gas-sensing performance of metal oxide semiconducting materials DOI
Ahmad Ajjaq, Fatih Bulut, O. Öztürk

et al.

Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 420, P. 136501 - 136501

Published: Aug. 23, 2024

Language: Английский

Citations

5
An electronic nose drift compensation algorithm based on semi-supervised adversarial domain adaptive convolutional neural network DOI

Yuanli Heng,

Yangming Zhou,

Duc Hoa Nguyen

et al.

Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 422, P. 136642 - 136642

Published: Sept. 16, 2024

Language: Английский

Citations

5
TF-TCN: A time-frequency combined gas concentration prediction model for E-nose data DOI

Xu Ma,

Fan Wu, Yan Jia

et al.

Sensors and Actuators A Physical, Journal Year: 2024, Volume and Issue: 376, P. 115654 - 115654

Published: Oct. 1, 2024

Language: Английский

Citations

4