A framework for PM2.5 constituents-based (including PAHs) emission inventory and source toxicity for priority controls: A case study of Delhi, India

Pathak, Abhinav; Sharma, Mukesh; Nagar, Pavan K.

doi:10.1016/j.chemosphere.2020.126971

Cited by 15 publications

(3 citation statements)

References 34 publications

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“…PNP induced insulin aggregation has been reported to be promoted by acceleration of fibril formation via conformational transition of the proteins when subjected to organic pollutants such as pyrene, bisphenol A, 2,2′,4,4′‐tetrabromodiphenyl ether, 4,4′‐dihydroxydiphenylmethane, or 4‐nonylphenol. [ 30,148 ]…”

Section: Molecular Insights Into Protein‐pnp Interactionsmentioning

confidence: 99%

Mechanistic Insights into Cellular and Molecular Basis of Protein‐Nanoplastic Interactions

Naidu,

Nagar,

Poluri

2023

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Plastic waste is ubiquitously present across the world, and its nano/sub‐micron analogues (plastic nanoparticles, PNPs), raise severe environmental concerns affecting organisms’ health. Considering the direct and indirect toxic implications of PNPs, their biological impacts are actively being studied; lately, with special emphasis on cellular and molecular mechanistic intricacies. Combinatorial OMICS studies identified proteins as major regulators of PNP mediated cellular toxicity via activation of oxidative enzymes and generation of ROS. Alteration of protein function by PNPs results in DNA damage, organellar dysfunction, and autophagy, thus resulting in inflammation/cell death. The molecular mechanistic basis of these cellular toxic endeavors is fine‐tuned at the level of structural alterations in proteins of physiological relevance. Detailed biophysical studies on such protein‐PNP interactions evidenced prominent modifications in their structural architecture and conformational energy landscape. Another essential aspect of the protein‐PNP interactions includes bioenzymatic plastic degradation perspective, as the interactive units of plastics are essentially nano‐sized. Combining all these attributes of protein‐PNP interactions, the current review comprehensively documented the contemporary understanding of the concerned interactions in the light of cellular, molecular, kinetic/thermodynamic details. Additionally, the applicatory, economical facet of these interactions, PNP biogeochemical cycle and enzymatic advances pertaining to plastic degradation has also been discussed.

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Section: Molecular Insights Into Protein‐pnp Interactionsmentioning

confidence: 99%

Mechanistic Insights into Cellular and Molecular Basis of Protein‐Nanoplastic Interactions

Naidu,

Nagar,

Poluri

2023

Small

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“…The aim of the study by E. Winijkul et al [42] was to analyse size distribution of PM on worldwide scale. In study by A. K. Pathak et al [35] the toxicity of PM2,5 was researched in the area of Delphi, Greece. On European scale, study by A. Leclerc et al [57]included the emissions of NMVOC, metals, PAH's, dioxins and PCB's.…”

Section: Pollutants Included In Inventoriesmentioning

confidence: 99%

State of the Art Emission Inventory and Their Application: Literature review

Lavrič,

Kukec,

Žabkar

2022

Sanitarno Inženirstvo International Journal of Sanitary Engineering Research

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Currently, the complex bottom-up emissions inventories are in rise. Itsdevelopment is essential for both understanding the sources of air pollutionand designing effective air pollution control measures. Anyway, the mainchallenge to get the most reliable emissions evidence is the variety ofcontributing sources, the complexity of the technology mix and the lack ofreliable emission factors. The input data bases are improving constantly, bymore reliable statistics and survey-based data. Our study reveals thestrengths and deficiency of currently published scientific papers on the topicof emission inventory. With that purpose, 40 crucial scientific papers wereselected. We first highlight the period and geographic region, when and wherethe inventories were made for. We then summarize the sector-basedestimates of emissions of different species contained by SNAP sectors inselected inventories. Additionally, the resolution of inventories is analysed.Finally, the last section summarizing common ways of assessing andvalidating inventories and their main purpose. This review shows that there isstill a lot of chance to improve emissions inventories in a way to develop inputdata and emission factors for different technologies and activities or todevelop inventories on fine grids. Those efforts will give us wider knowledgeabout pollution sources and will lead to accepted better air quality policy.

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“…The dramatic increase in motor vehicle causes traffic congestion. The research from Abdull [1], Oishi [2], Lv [3], Wang [4], Li [5], Lima [6], Pathak [7], and Jeong [8] have confirmed that traffic congestion brings more emissions in Kyoto, Nagoya (Japan), Beijing, Jinan, Hong Kong (China), Bogotá (Brazil), Delhi (India), and Toronto and Ontario (Canada) respectively. Road traffic emissions to NO 2 and PM2.5 were the highest in Hamburg and EU [9,10], and the private cars were the main contributors accounting for 60% CO and SO 2 emissions in Bogotá, Colombia [11].…”

Section: Introductionmentioning

confidence: 99%

Effect of Transportation Operation on Air Quality in China Based on MODIS AOD during the Epidemic

Feng

et al. 2023

Sustainability

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With the rapid growth of automobile numbers and the increased traffic congestion, traffic has increasingly significant effects on regional air quality and regional sustainable development in China. This study tried to quantify the effect of transportation operation on regional air quality based on MODIS AOD. This paper analyzed the space-time characteristics of air quality and traffic during the epidemic by series analysis and kernel density analysis, and quantified the relationship between air quality and traffic through a Geographically Weighted Regression (GWR) model. The main research conclusions are as follows: The epidemic has a great impact on traffic and regional air quality. PM2.5 and NO2 had the same trend with traffic congestion delay index (CDI), but they were not as obvious as CDI. Both cities with traffic congestion and cities with the worst air quality showed strong spatial dependence. The concentration areas of high AOD value in the east areas of the Hu line were consistent with the two gathering centers formed by cities with traffic congestion in space, and also consistent with the gathering center of cities with poor air quality. The concentration area of AOD decline was consistent with the gathering center formed by cities with the worst air quality. AOD had a strong positive correlation with road network density, and its GWR correlation coefficient was 0.68, then These provinces suitable for GWR or not suitable were divided. This study has a great significance for the transportation planning, regional planning, air quality control strategies and regional sustainable development, etc.

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A framework for PM2.5 constituents-based (including PAHs) emission inventory and source toxicity for priority controls: A case study of Delhi, India

Cited by 15 publications

References 34 publications

Mechanistic Insights into Cellular and Molecular Basis of Protein‐Nanoplastic Interactions

Mechanistic Insights into Cellular and Molecular Basis of Protein‐Nanoplastic Interactions

State of the Art Emission Inventory and Their Application: Literature review

Effect of Transportation Operation on Air Quality in China Based on MODIS AOD during the Epidemic

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