Carcinogenic effects of indoor black carbon and particulate matters (PM2.5 and PM10) in rural households of India

Arif, Mohammad; Parveen, Shagufta

doi:10.1007/s11356-020-10668-5

Cited by 17 publications

(7 citation statements)

References 33 publications

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“…For example, particulate matters (PMs), which refer to tiny particles in the air adsorbing polycyclic aromatic hydrocarbons (PAHs), heavy metals, and other volatile organic fragments, can be breathed into human lungs leading to pulmonary diseases ( Araujo, 2011 ) and enter blood circulation to induce cardiovascular diseases ( Lawal, 2017 ). Black carbon (BC) belongs to PMs and is generated from incomplete combustion ( Liu et al, 2021a ), which showed potential carcinogenic effects on human ( Arif and Parveen, 2021 ). O 3 is a very reactive and oxidative pollutant, which can damage the human skin, eyes, and mucosae ( World Health Organization, 2003 ) as well as cause inflammation in bronchia leading to respiratory diseases ( Kim et al, 2020 ; Szyszkowicz and Rowe, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Investigation of COVID-19-related lockdowns on the air pollution changes in augsburg in 2020, Germany

Cao

Liu

Hadiatullah

et al. 2022

Atmospheric Pollution Research

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Section: Introductionmentioning

confidence: 99%

Investigation of COVID-19-related lockdowns on the air pollution changes in augsburg in 2020, Germany

Cao

Liu

Hadiatullah

et al. 2022

Atmospheric Pollution Research

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“…Using biomass fuels in kitchens mainly contributed to indoor pollution in rural and semi-urban areas in Pakistan [55,56]. The rising PM 10 and PM 2.5 concentrations in kitchens and associated living rooms have been investigated [57]. Accordingly, the indoor biomass smoke has increased the health risks [58].…”

Section: Indoor Particulate Matter and Dust Ingestionmentioning

confidence: 99%

Impact of Indoor Air Pollution in Pakistan—Causes and Management

et al. 2023

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This state-of-the-art review is designed to provide a factual analysis of indoor air pollution in Pakistan. Primarily, the main sources of indoor air pollution and related air pollutants were analyzed. Key sources of indoor air pollution include household energy sources (biomass, wood, coal, tobacco, and low temperatures) producing particulate matter (PM), dust particles, smoke, COx, noxious gases, bioaerosols, airborne microflora, and flame retardants. According to the literature, rural regions of Pakistan using biomass indoor fuels have a high indoor PM concentration in the range of 4000–9000 μg/m3. In rural/urban regions, indoor smoking also leads to high PM2.5 levels of ~1800 μg/m3, which can cause pulmonary infections. In hospitals, PM concentrations were detected up to 1000 μg/m3, causing repeated infections in patients. Indoor ingestion of dust containing polychlorinated biphenyl concentrations was observed at high levels (~8.79–34.39 ng/g) in cities; this can cause serious health effects such as cancer risks and a loss of working productivity. Moreover, indoor microflora and bacteria (~10,000–15,000 cfu m−3) in urban/rural regions cause respiratory/cancer risks. In this context, indoor air quality (IAQ) monitoring and management strategies have been somewhat developed; however, their implementation in Pakistan’s rural/urban indoor environments is still needed. Various challenges were identified for monitoring/regulating IAQ. There is a firm need for industry–academia–research cooperation and for the involvement of government/agencies to support indoor air pollution control/management and for intervention strategies.

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“…The PDR-1500 unit is a widely used instrument and shown to be reliable from previous studies. [14][15][16][17][18][19][20][21][22] Over the course of the 2-year period, our low-cost sensors were calibrated four times using the same PDR-1500 unit, where the internal lter was checked to control the real-time measurements gravimetrically. The Airbeam 1 and 2 devices utilize two low-cost sensors: The Shinyei PPD60PV and Plantower PMS 7003 infra-red light scattering particle sensors, respectively.…”

Section: Generation Of Calibration Curves For Cigarette Smokementioning

confidence: 99%

Feasibility of Low-Cost Particle Sensor Types in Long-Term Indoor Air Pollution Health Studies After Repeated Calibration Over a 2-Year Timeframe

Anastasiou

Vilcassim

Adragna

et al. 2021

Preprint

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Background Previous studies have explored using calibrated low-cost particulate matter (PM) sensors, but important research gaps remain regarding long-term performance and reliability. Objective Evaluate longitudinal performance of low-cost particle sensors by measuring sensor performance changes over 2 years of use. Methods 51 low-cost particle sensors (Airbeam 1 N=29; Airbeam 2 N=22) were calibrated four times over a 2-year timeframe between 2019-2021. Cigarette smoke-specific calibration curves for Airbeam 1 and 2 PM sensors were created by directly comparing simultaneous 1-min readings of a Thermo Scientific Personal DataRAM PDR-1500 unit with a 2.5 µm inlet. Results Inter-sensor variability in calibration coefficient was high, particularly in Airbeam 1 sensors at study initiation. Calibration coefficients for both sensor types trended downwards over time to <1 at final calibration timepoint [Airbeam 1 Mean (SD)= 0.87 (0.20); Airbeam 2 Mean (SD) = 0.96 (0.27)]. We lost more Airbeam 1 sensors (N=27, failure rate 48.2%) than Airbeam 2 (N=2, failure rate 16.7%) due to electronics, battery, or data output issues. Conclusions Evidence suggests degradation over time might depend more on particle sensor type, rather than individual usage. Repeated calibrations of low-cost particle sensors may increase confidence in reported PM levels in longitudinal indoor air pollution studies.

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Carcinogenic effects of indoor black carbon and particulate matters (PM2.5 and PM10) in rural households of India

Cited by 17 publications

References 33 publications

Investigation of COVID-19-related lockdowns on the air pollution changes in augsburg in 2020, Germany

Investigation of COVID-19-related lockdowns on the air pollution changes in augsburg in 2020, Germany

Impact of Indoor Air Pollution in Pakistan—Causes and Management

Feasibility of Low-Cost Particle Sensor Types in Long-Term Indoor Air Pollution Health Studies After Repeated Calibration Over a 2-Year Timeframe

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