Hybrid Nanomaterials: A Brief Overview of Versatile Solutions for Sensor Technology in Healthcare and Environmental Applications

Biosensors, Год журнала: 2024, Номер 14(2), С. 67 - 67

Опубликована: Янв. 27, 2024

The integration of nanomaterials into sensor technologies not only poses challenges but also opens up promising prospects for future research. These include assessing the toxicity nanomaterials, scalability issues, and seamless these materials existing infrastructures. Future development opportunities lie in creating multifunctional nanocomposites environmentally friendly nanomaterials. Crucial to this process is collaboration between universities, industry, regulatory authorities establish standardization evolving field. Our perspective favours using screen-printed sensors that employ with high electrochemical conductivity. This approach offers cost-effective production methods allows customizable designs. Furthermore, incorporating hybrids based on carbon-based functionalized Mxene significantly enhances performance. conductivity are portable, rapid, well-suited on-site environmental monitoring, seamlessly aligning Internet Things (IoT) platforms developing intelligent systems. Simultaneously, advances technology actively working elevate sensitivity through integrating nanotechnology, miniaturization, innovative electrode comprehensive aims unlock full potential technologies, catering diverse applications ranging from healthcare monitoring. review summarise latest trends hybrid nanomaterial-based sensors, explicitly focusing their application detecting contaminants.

Язык: Английский

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Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah

Atmospheric measurement techniques, Год журнала: 2023, Номер 16(10), С. 2455 - 2470

Опубликована: Май 24, 2023

Abstract. As the changing climate expands extent of arid and semi-arid lands, number of, severity health effects associated with dust events are likely to increase. However, regulatory measurements capable capturing (PM10, particulate matter smaller than 10 µm in diameter) sparse, sparser PM2.5 (PM 2.5 diameter). Although low-cost sensors could supplement monitors, as numerous studies have shown for concentrations, most these not effective at measuring PM10 despite claims by sensor manufacturers. This study focuses on Salt Lake Valley, adjacent Great Lake, which recently reached historic lows exposing 1865 km2 dry lake bed. It evaluated field performance Plantower PMS5003, a common PM sensor, Alphasense OPC-N3, promising candidate measurement PM10, against federal equivalent method (FEM, beta attenuation) research (GRIMM aerosol spectrometer model 1.109) three different locations. During month-long that included five Valley concentrations reaching 311 µg m−3, OPC-N3 exhibited strong correlation FEM (R2 = 0.865, RMSE 12.4 m−3) GRIMM 0.937, 17.7 m−3). The PMS poor moderate correlations < 0.49, 33–45 reference or monitors severely underestimated (slope 0.099) PM10. We also PM-ratio-based correction improve estimated concentration from PMSs. After applying this method, correlated reasonably well > 0.63) 0.76), decreased 15–25 m−3. Our results suggest it may be possible obtain better resolved spatial estimates using combination PMSs (often publicly available communities) such those provided FEMs, research-grade instrumentation, OPC-N3.

Язык: Английский

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Laboratory evaluation of the Alphasense OPC-N3, and the Plantower PMS5003 and PMS6003 sensors

Journal of Aerosol Science, Год журнала: 2023, Номер 171, С. 106181 - 106181

Опубликована: Апрель 11, 2023

Язык: Английский

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Evaluation of vertical and horizontal distribution of particulate matter near an urban roadway using an unmanned aerial vehicle

The Science of The Total Environment, Год журнала: 2022, Номер 836, С. 155600 - 155600

Опубликована: Апрель 30, 2022

Язык: Английский

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Constructing a pollen proxy from low-cost Optical Particle Counter (OPC) data processed with Neural Networks and Random Forests

The Science of The Total Environment, Год журнала: 2023, Номер 871, С. 161969 - 161969

Опубликована: Фев. 6, 2023

Pollen allergies affect a significant proportion of the global population, and this is expected to worsen in years come. There demand for development automated pollen monitoring systems. Low-cost Optical Particle Counters (OPCs) measure particulate matter have attractive advantages real-time high time resolution data affordable costs. This study asks whether low-cost OPC sensors can be used meaningful airborne pollen. We employ variety methods, including supervised machine learning techniques, construct proxies from hourly-average evaluate their performance, holding out 40 % observations test proxies. The most successful methods are Neural Network (NN) Random Forest (RF) trained concentrations collected Hirst-type sampler. These perform significantly better than using simple particle size-filtered proxy or Positive Matrix Factorisation (PMF) source apportionment proxy. Twelve NN RF models were developed proxy, each varying by model type, input features target variable. results show that such useful information on data. best metrics achieved (Spearman correlation coefficient = 0.85, determination 0.67) constructing Poaceae (grass) based size information, temperature, relative humidity. Ability distinguish events was evaluated F1 Scores, score reflecting fraction true positives with respect false negatives, promising (F1 ≤ 0.83). Model-constructed demonstrated ability follow monthly diurnal trends discuss suitability OPCs offer advice future progress. demonstrate an alternative could provide valuable timely benefit allergy sufferers.

Язык: Английский

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Designing a low-cost wireless sensor network for particulate matter monitoring: Implementation, calibration, and field-test

Atmospheric Pollution Research, Год журнала: 2024, Номер 15(9), С. 102208 - 102208

Опубликована: Июнь 11, 2024

Язык: Английский

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Significance of sources and size distribution on calibration of low-cost particle sensors: Evidence from a field sampling campaign

Journal of Aerosol Science, Год журнала: 2022, Номер 168, С. 106114 - 106114

Опубликована: Дек. 5, 2022

Язык: Английский

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Benchmarking Low-Cost Particulate Matter Sensors: Evaluating Performance Under Controlled Environmental Conditions Using Low-Cost Experimental Setups

Atmosphere, Год журнала: 2025, Номер 16(2), С. 172 - 172

Опубликована: Фев. 3, 2025

Particulate matter (PM) is widely recognized as a major air pollutant with significant impacts on human health, highlighting the need for accurate monitoring. In developing countries, low-cost sensors are crucial accessible PM monitoring, but their accuracy and reliability must first be assessed. This study benchmarked Alphasense OPC-N3 Next through laboratory field evaluations. Laboratory tests were performed in controlled conditions HEPA-filtered at low humidity varying concentrations of water droplets from nebulized deionized water. A 27-day Cienfuegos, Cuba, provided additional insights into real-world performance. The showed susceptibility to perturbations was more affected by outliers (especially PM10), relative humidity, interference aqueous aerosols. contrast, sensor demonstrated superior stability, lower noise levels, consistent performance across different environmental conditions. Despite substantial price difference, both valid measurements. Additionally, produced lognormal concentration distributions during campaigns. feature could aid addressing calibration stability challenges commonly associated situ methods. While measurements affordable not perfect, they sufficiently reliable supporting quality assessments resource-limited settings.

Язык: Английский

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Spatio-temporal dynamics of PM2.5 and PM10 concentrations in a complex urban environment recorded by mobile monitoring for the example of Karlsruhe, South-West Germany

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(4)

Опубликована: Март 31, 2025

Язык: Английский

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Performance Evaluation of Five Different Low-Cost Particulate Matter Sensors for Monodisperse Test Aerosols

Aerosol and Air Quality Research, Год журнала: 2025, Номер 25(5)

Опубликована: Май 1, 2025

Abstract Purpose The performance of five different low-cost particulate matter sensor models has been characterized with monodisperse DEHS particles by comparing particle number and mass concentrations in size fractions to the results an optical counter (Palas welas) used as reference. Methods investigated are SDS011 (NovaFitness), SPS30 (Sensirion), NextPM (Groupe Tera), OPC-R2 OPC-N3 (both Alphasense). To obtain information on intra-specimen variability, specimens each model were tested. Three parameters investigated, namely mass-based detection efficiency between 0.15 5 μm for concentration levels, accuracy fractionation, dynamic response rapid changes. Results less suitable detecting than other models. With sensor, measured sometimes deviated more a factor 10 from have their own advantages disadvantages, depending purpose measurement. Compared OPC-R2, instance is capable higher concentrations, but only much lower resolution or OPC-R2. Conclusions Overall, experiments shown that sensors most suited ones laboratory applications DEHS-particles at < 1500 P/cm 3 . They comparably size-independent counting d P ≥ 0.5 able accurately measure distributions. also show changes t 10-90 time constant around 1.5 s compared (> 4 s). Graphical

Язык: Английский

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