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Advanced Nanosensors and Nanomechanical Sensing Technology for Environment and Health Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Nanosensors".

Deadline for manuscript submissions: closed (22 March 2024) | Viewed by 1751

Special Issue Editor

School of Mechanical Engineering & Automation, Beihang University, Beijing 100191, China
Interests: electrical and optical properties of sensor components based on low-dimensional materials; study of electrical and optical properties of sensor components based on low-dimensional materials; the application of micro and nano sensors in clinical and space environment monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nanosensors and nanomechanical sensing technology represent a rapidly developing and highly promising area for the measurement of various biological and environmental parameters at a nanoscale. Due to their small size, high detection accuracy, and rapid response, such sensors have been widely used in fields such as medical diagnosis, environmental pollution monitoring, precision instrument operation status monitoring, and implantable medicine. This Special Issue aims to bring together researchers in this area to break down barriers and develop innovative nanosensors and nanomechanical sensing technology for environment and health monitoring. Potential topics include, but are not limited to, the following:

  • Biomedical nanosensors for healthcare;
  • Wearable or implantable nanodevices for health parameters monitoring;
  • Technologies for mechanical parameters detection in micro/nanoscale;
  • Nanomechanical sensors for human motion detection;
  • Chemical nanosensors for pollutants detection in daily living environment;
  • New applications or improvement of existing biochemical nanosensors.

Dr. Zhuang Hao
Guest Editor

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Keywords

  • nanosensors for health monitoring
  • bioassay
  • biointerfaces
  • nanomechanical parameters’ detection
  • environmental monitoring
  • bio-microfluidic or bio-devices
  • nanofabrication

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Published Papers (1 paper)

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Research

10 pages, 1038 KiB  
Article
Uncertainty Quantification of Methods Used to Measure Methane Emissions of 1 g CH4 h−1
by Stuart N. Riddick, Mercy Mbua, John C. Riddick, Cade Houlihan, Anna L. Hodshire and Daniel J. Zimmerle
Sensors 2023, 23(22), 9246; https://doi.org/10.3390/s23229246 - 17 Nov 2023
Cited by 1 | Viewed by 1419
Abstract
The recent interest in measuring methane (CH4) emissions from abandoned oil and gas wells has resulted in five methods being typically used. In line with the US Federal Orphaned Wells Program’s (FOWP) guidelines and the American Carbon Registry’s (ACR) protocols, quantification [...] Read more.
The recent interest in measuring methane (CH4) emissions from abandoned oil and gas wells has resulted in five methods being typically used. In line with the US Federal Orphaned Wells Program’s (FOWP) guidelines and the American Carbon Registry’s (ACR) protocols, quantification methods must be able to measure minimum emissions of 1 g of CH4 h−1 to within ±20%. To investigate if the methods meet the required standard, dynamic chambers, a Hi-Flow (HF) sampler, and a Gaussian plume (GP)-based approach were all used to quantify a controlled emission (Qav; g h−1) of 1 g of CH4 h−1. After triplicate experiments, the average accuracy (Ar; %) and the upper (Uu; %) and lower (Ul; %) uncertainty bounds of all methods were calculated. Two dynamic chambers were used, one following the ACR guidelines, and a second “mobile” chamber made from lightweight materials that could be constructed around a source of emission on a well head. The average emission calculated from the measurements made using the dynamic chamber (Qav = 1.01 g CH4 h−1, Ar = +0.9%), the mobile chamber (Qav = 0.99 g CH4 h−1, Ar = −1.4%), the GP approach (Qav = 0.97 g CH4 h−1, Ar = −2.6%), and the HF sampler (Qav = 1.02 g CH4 h−1, Ar = +2.2%) were all within ±3% of 1 g of CH4 h−1 and met the requirements of the FOWP and ACR protocols. The results also suggest that the individual measurements made using the dynamic chamber can quantify emissions of 1 g of CH4 h−1 to within ±6% irrespective of the design (material, number of parts, geometrical shape, and hose length), and changes to the construction or material specifications as defined via ACR make no discernible difference to the quantification uncertainty. Our tests show that a collapsible chamber can be easily constructed around the emission source on an abandoned well and be used to quantify emissions from abandoned wells in remote areas. To our knowledge, this is the first time that methods for measuring the CH4 emissions of 1 g of CH4 h−1 have been quantitively assessed against a known reference source and against each other. Full article
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