Developments in radioanalytics: from Geiger counters to single atom counting

Povinec, Pavel P.

doi:10.1007/s10967-018-6248-8

Cited by 11 publications

(4 citation statements)

References 103 publications

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“…These ions and electrons are attracted to the suitable electrodes, giving rise to a current flow. The latter is then converted into electric signals, which are finally measured as the amount of radiation [112]. The GM detectors and ionization chambers are capable of detecting alpha, beta, and gamma radiation [113].…”

Section: Radiation Detectorsmentioning

confidence: 99%

Drone-Assisted Monitoring of Atmospheric Pollution—A Comprehensive Review

et al. 2022

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Ambient air quality is a complex issue that depends on multiple interacting factors related to emissions coming from energy production and use, transportation, industrial processes, agriculture, and waste and wastewater treatment sectors. It is also impacted by adverse meteorological conditions, pollutants concentrations, their transport and dispersion in the atmosphere, and topographic constraints. Therefore, air pollutants distribution is not uniform and their monitoring at proper temporal and spatial resolution is necessary. Drone-borne analytical instrumentation can fulfill these requirements. Thanks to the rapid development in the drone manufacturing sector as well as in the field of portable detectors construction, applications of unmanned aerial vehicles (UAVs) for atmospheric pollution monitoring are growing. The purpose of this work is to give an overview of this matter. Therefore, this paper contains basic information on UAVs (i.e., description of different types of drones with their advantages and disadvantages) and analytical instrumentation (i.e., low-cost gas sensors, multi-sensor systems, electronic noses, high-accuracy optical analyzers, optical particle counters, radiation detectors) used for the monitoring of airborne pollution. Different ways of payload integration are addressed and examples of commercially available solutions are given. Examples of applications of drone-borne analytical systems for pollution monitoring coming from natural (i.e., volcanoes, thawing permafrost, wildfires) and anthropological (i.e., urbanization and industrialization; extraction, transport and storage of fossil fuels; exploitation of radioactive materials; waste and wastewater treatment; agriculture) sources are also described. Finally, the current limitations and future perspectives are discussed. Although there is a great potential for drones applications in the field of atmospheric pollution monitoring, several limitations should be addressed in the coming years. Future research should focus on improving performances of available analytical instrumentation and solving problems related to insufficient payload capacity and limited flight time of commonly used drones. We predict that applications of drone-assisted measurements will grow in the following years, especially in the field of odor pollution monitoring.

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Section: Radiation Detectorsmentioning

confidence: 99%

Drone-Assisted Monitoring of Atmospheric Pollution—A Comprehensive Review

et al. 2022

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“…Our most commonly used radiation detectors include GM (Geiger-Muller) counters, semiconductor devices, and scintillators. However, GM tubes have a large volume, high operating voltage, lower accuracy, and poor linear energy response [1] . Semiconductor detectors have lower detection efficiency and poor energy response [2] [3] .…”

Section: Introductionmentioning

confidence: 99%

Implementation of a wristwatch for dose measurement based on CsI detector

Chen,

Qin,

Zhao

2024

Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024)

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“…Among these, AMS has the highest detection sensitivity, which can be lower than 1 × 10 −15 . 4 However, both of these methods have issues such as complex operation, off-line measurement, high cost, and large instrument size, which cannot provide sufficient assurance for the increasing demand for carbon-14 detection. 5 As early as 1977, using laser spectroscopy to deduce 14C/C has been proposed, which leverages the measurement of 14 CO 2 spectra.…”

Section: Introductionmentioning

confidence: 99%

“…The conventional methods for detecting 14 C/C primarily involve accelerator mass spectrometry (AMS) and liquid scintillation counting (LSC). Among these, AMS has the highest detection sensitivity, which can be lower than 1 × 10 −15 4 . However, both of these methods have issues such as complex operation, off‐line measurement, high cost, and large instrument size, which cannot provide sufficient assurance for the increasing demand for carbon‐14 detection 5 …”

Section: Introductionmentioning

confidence: 99%

Spectroscopic detection of radiocarbon dioxide based on optical feedback linear cavity enhanced absorption spectroscopy

Jiao,

Gao,

Yang

et al. 2023

Micro & Optical Tech Letters

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Spectroscopic detection of radiocarbon dioxide (14CO2) offers several advantages, including real‐time detection, on‐site measurement capability, and ease of operation. Here, we propose a novel 14CO2 detection technique that utilizes optical feedback linear cavity enhanced absorption spectroscopy. The feedback phase is actively compensated by adjusting the light path length. The combination of cavity‐based technique and optical feedback enables the recording of stable and enhanced 14CO2 spectra. Through Allan deviation analysis, a minimal detectable 14CO2 concentration of 3.5 parts‐per‐trillion is achieved. This technique has the potential to contribute to the monitoring of the radiocarbon emissions in the air of nuclear power plants.

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Developments in radioanalytics: from Geiger counters to single atom counting

Cited by 11 publications

References 103 publications

Drone-Assisted Monitoring of Atmospheric Pollution—A Comprehensive Review

Drone-Assisted Monitoring of Atmospheric Pollution—A Comprehensive Review

Implementation of a wristwatch for dose measurement based on CsI detector

Spectroscopic detection of radiocarbon dioxide based on optical feedback linear cavity enhanced absorption spectroscopy

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