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Gupta S, Shankar S, Kuniyal JC, Srivastava P, Lata R, Chaudhary S, Thakur I, Bawari A, Thakur S, Dutta M, Ghosh A, Naja M, Chatterjee A, Gadi R, Choudhary N, Rai A, Sharma SK. Identification of sources of coarse mode aerosol particles (PM 10) using ATR-FTIR and SEM-EDX spectroscopy over the Himalayan Region of India. Environ Sci Pollut Res Int 2024; 31:15788-15808. [PMID: 38305978 DOI: 10.1007/s11356-024-31973-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 01/07/2024] [Indexed: 02/03/2024]
Abstract
This study attempts to examine the morphological, elemental and physical characteristics of PM10 over the Indian Himalayan Region (IHR) using FTIR and scanning electron microscopy-energy dispersive X-ray (SEM-EDX) analysis. The study aimed at source identification of PM10 by exploring the inorganic ions, organic functional groups, morphology and elemental characteristics. The pollution load of PM10 was estimated as 63 ± 22 μg m-3; 53 ± 16 μg m-3; 67 ± 26 μg m-3 and 55 ± 11 μg m-3 over Mohal-Kullu, Almora, Nainital and Darjeeling, respectively. ATR-FTIR spectrum analysis revealed the existence of inorganic ions (SiO44-, TiO2, SO42-, SO3-, NO3-, NO2-, CO32-, HCO3-, NH4+) and organic functional groups (C-C, C-H, C=C, C≡C, C=O, N-H, C≡N, C=N, O-H, cyclic rings, aromatic compounds and some heterogeneous groups) in PM10 which may arise from geogenic, biogenic and anthropogenic sources. The morphological and elemental characterization was performed by SEM-EDX, inferring for geogenic origin (Al, Na, K, Ca, Mg and Fe) due to the presence of different morphologies (irregular, spherical, cluster, sheet-like solid deposition and columnar). In contrast, particles having biogenic and anthropogenic origins (K, S and Ba) have primarily spherical with few irregular particles at all the study sites. Also, the statistical analysis ANOVA depicts that among all the detected elements, Na, Al, Si, S and K are site-specific in nature as their mean of aw% significantly varied for all the sites. The trajectory analysis revealed that the Uttarakhand, Jammu and Kashmir, the Thar Desert, Himachal Pradesh, Pakistan, Afghanistan, Nepal, Sikkim, the Indo-Gangetic Plain (IGP) and the Bay of Bengal (BoB) contribute to the increased loading of atmospheric pollutants in various locations within the IHR.
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Affiliation(s)
- Sakshi Gupta
- CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi, 110012, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Shobhna Shankar
- Indira Gandhi Delhi Technical University for Women, Kashmere Gate, New Delhi, 110006, India
| | - Jagdish Chandra Kuniyal
- G. B. Pant National Institute of Himalayan Environment, Kosi-Katarmal, Almora, 263643, India
| | - Priyanka Srivastava
- Aryabhata Research Institute of Observational Sciences (ARIES), Nainital, Uttarakhand, 263002, India
| | - Renu Lata
- G. B. Pant National Institute of Himalayan Environment, Himachal Regional Centre, Mohal-Kullu, 175126, India
| | - Sheetal Chaudhary
- G. B. Pant National Institute of Himalayan Environment, Kosi-Katarmal, Almora, 263643, India
| | - Isha Thakur
- G. B. Pant National Institute of Himalayan Environment, Himachal Regional Centre, Mohal-Kullu, 175126, India
| | - Archana Bawari
- G. B. Pant National Institute of Himalayan Environment, Kosi-Katarmal, Almora, 263643, India
| | - Shilpa Thakur
- G. B. Pant National Institute of Himalayan Environment, Himachal Regional Centre, Mohal-Kullu, 175126, India
| | - Monami Dutta
- Environmental Sciences Section, Bose Institute, EN Block, Sector-V, Saltlake, Kolkata, 700091, India
| | - Abhinandan Ghosh
- Department of Civil Engineering, Centre of Environmental Science and Engineering, IIT-Kanpur, Kanpur, 201086, India
| | - Manish Naja
- Aryabhata Research Institute of Observational Sciences (ARIES), Nainital, Uttarakhand, 263002, India
| | - Abhijit Chatterjee
- Environmental Sciences Section, Bose Institute, EN Block, Sector-V, Saltlake, Kolkata, 700091, India
| | - Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, Kashmere Gate, New Delhi, 110006, India
| | - Nikki Choudhary
- CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi, 110012, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Akansha Rai
- CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi, 110012, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Sudhir Kumar Sharma
- CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi, 110012, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Banoo R, Gupta S, Gadi R, Dawar A, Vijayan N, Mandal TK, Sharma SK. Chemical characteristics, morphology and source apportionment of PM 10 over National Capital Region (NCR) of India. Environ Monit Assess 2024; 196:163. [PMID: 38231424 DOI: 10.1007/s10661-023-12281-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/29/2023] [Indexed: 01/18/2024]
Abstract
The present study frames the physico-chemical characteristics and the source apportionment of PM10 over National Capital Region (NCR) of India using the receptor model's Positive Matrix Factorization (PMF) and Principal Momponent Mnalysis/Absolute Principal Component Score-Multilinear Regression (PCA/APCS-MLR). The annual average mass concentration of PM10 over the urban site of Faridabad, IGDTUW-Delhi and CSIR-NPL of NCR-Delhi were observed to be 195 ± 121, 275 ± 141 and 209 ± 81 µg m-3, respectively. Carbonaceous species (organic carbon (OC), elemental carbon (EC) and water-soluble organic carbon (WSOC)), elemental constituents (Al, Ti, Na, Mg, Cr, Mn, Fe, Cu, Zn, Br, Ba, Mo Pb) and water-soluble ionic components (F-, Cl-, SO42-, NO3-, NH4+, Na+, K+, Mg2+, Ca2+) of PM10 were entrenched to the receptor models to comprehend the possible sources of PM10. The PMF assorted sources over Faridabad were soil dust (SD 15%), industrial emission (IE 14%), vehicular emission (VE 19%), secondary aerosol (SA 23%) and sodium magnesium salt (SMS 17%). For IGDTUW-Delhi, the sources were SD (16%), VE (19%), SMS (18%), IE (11%), SA (27%) and VE + IE (9%). Emission sources like SD (24%), IE (8%), SMS (20%), VE + IE (12%), VE (15%) and SA + BB (21%) were extracted over CSIR-NPL, New Delhi, which are quite obvious towards the sites. PCA/APCS-MLR quantified the similar sources with varied percentage contribution. Additionally, catalogue the Conditional Bivariate Probability Function (CBPF) for directionality of the local source regions and morphology as spherical, flocculent and irregular were imaged using a Field Emission-Scanning Electron Microscope (FE-SEM).
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Affiliation(s)
- Rubiya Banoo
- CSIR-National Physical Laboratory, D, K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Sarika Gupta
- Indira Gandhi Delhi Technical University for Women, Kashmiri Gate, New Delhi, 110006, India
| | - Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, Kashmiri Gate, New Delhi, 110006, India
| | - Anit Dawar
- Inter-University Accelerator Centre, Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Narayanasamy Vijayan
- CSIR-National Physical Laboratory, D, K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Tuhin Kumar Mandal
- CSIR-National Physical Laboratory, D, K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Sudhir Kumar Sharma
- CSIR-National Physical Laboratory, D, K S Krishnan Road, New Delhi, 110012, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Sharma B, Gadi R. Analytical Tools and Methods for Explosive Analysis in Forensics: A Critical Review. Crit Rev Anal Chem 2023:1-27. [PMID: 37934616 DOI: 10.1080/10408347.2023.2274927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
This review summarizes (i) compositions and types of improvised explosive devices; (ii) the process of collection, extraction and analysis of explosive evidence encountered in explosive and related cases; (iii) inter-comparison of analytical techniques; (iv) the challenges and prospects of explosive detection technology. The highlights of this study include extensive information regarding the National & International standards specified by USEPA, ASTM, and so on, for explosives detection. The holistic development of analytical tools for explosive analysis ranging from conventional methods to advanced analytical tools is also covered in this article. The most important aspect of this review is to make forensic scientists familiar with the challenges during explosive analysis and the steps to avoid them. The problems during analysis can be analyte-based, that is, interferences due to matrix or added molding/stabilizing agents, trace amount of parent explosives in post-blast samples and many more. Others are techniques-based challenges viz. specificity, selectivity, and sensitivity of the technique. Thus, it has become a primary concern to adopt rapid, field deployable, and highly sensitive techniques.
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Affiliation(s)
- Bhumika Sharma
- Department of Applied Sciences & Humanities, Indira Gandhi Delhi Technical University for Women, Delhi, India
| | - Ranu Gadi
- Department of Applied Sciences & Humanities, Indira Gandhi Delhi Technical University for Women, Delhi, India
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Shankar S, Gadi R, Bajar S, Yadav N, Mandal TK, Sharma SK. Insights into seasonal-variability of SVOCs, morpho-elemental and spectral characteristics of PM2.5 collected at a dense industrial site: Faridabad, Haryana, India. Chemosphere 2023; 323:138204. [PMID: 36828107 DOI: 10.1016/j.chemosphere.2023.138204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 02/19/2023] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
The development-oriented anthropogenic activities have led to intensive increase in emission of various organic pollutants, which contribute considerably to human health risk. In the present study, chemical, physical and spectral characterisation of fine particulate matter (PM2.5), collected at Faridabad city, in northern India, were examined. Seasonal variation of organic compounds [n-alkanes, polyaromatic hydrocarbons (PAHs) and phthalic acid esters (PAEs)], and potential health risk of Polyaromatic hydrocarbons (PAHs) exposure using toxic equivalency potential (TEQ) approach had been assessed. These showed seasonal average values ranging from 156.4 ± 57.0 ng/m3 to 217.6 ± 72.9 ng/m3, 98.0 ± 21.4 ng/m3 to 177.8 ± 72.8 ng/m3, and 30.9 ± 11.9 ng/m3 to 82.5 ± 29.2 ng/m3, respectively, with the highest value for winter. It is noteworthy that unlike, n-alkanes and PAEs, PAHs were least during spring. The high molecular weight PAHs (BaP, BkF, DahA and IcdP) were found to exhibit higher TEQ values (ranging from 0.7 to 9.7) despite of their lower concentrations. The PAH diagnostic ratio, carbon preference index and total index revealed the enhanced impact of biogenic sources of emissions in comparison to diesel emission sources during winter.
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Affiliation(s)
- Shobhna Shankar
- Indira Gandhi Delhi Technical University for Women, New Delhi, 110006, India
| | - Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, New Delhi, 110006, India.
| | - Somvir Bajar
- J.C. Bose University of Science and Technology, YMCA, Haryana, 121006, India
| | - Neha Yadav
- J.C. Bose University of Science and Technology, YMCA, Haryana, 121006, India
| | - Tuhin K Mandal
- Council of Scientific and Industrial Research-National Physical Laboratory of India, New Delhi, 110012, India
| | - Sudhir K Sharma
- Council of Scientific and Industrial Research-National Physical Laboratory of India, New Delhi, 110012, India
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Jangirh R, Ahlawat S, Arya R, Mondal A, Yadav L, Kotnala G, Yadav P, Choudhary N, Rani M, Banoo R, Rai A, Saharan US, Rastogi N, Patel A, Gadi R, Saxena P, Vijayan N, Sharma C, Sharma SK, Mandal TK. Gridded distribution of total suspended particulate matter (TSP) and their chemical characterization over Delhi during winter. Environ Sci Pollut Res Int 2022; 29:17892-17918. [PMID: 34686959 DOI: 10.1007/s11356-021-16572-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 09/10/2021] [Indexed: 06/13/2023]
Abstract
In the present study, total suspended particulate matter (TSP) samples were collected at 47 different sites (47 grids of 5 × 5 km2 area) of Delhi during winter (January-February 2019) in campaign mode. To understand the spatial variation of sources, TSP samples were analyzed for chemical compositions including carbonaceous species [organic carbon (OC), elemental carbon (EC), and water-soluble organic carbon (WSOC)], water-soluble total nitrogen (WSTN), water-soluble inorganic nitrogen (WSIN), polycyclic aromatic hydrocarbons (16 PAHs), water-soluble inorganic species (WSIS) (F-, Cl-, SO42-, NO2-, NO3-, PO43-, NH4+, Ca2+, Mg2+, Na+, and K+), and major and minor trace elements (B, Na, Mg, Al, P, S, Cl, K, Ca, Ti, Fe, Zn, Cr, Mn, Cu, As, Pd, F, and Ag). During the campaign, the maximum concentration of several components of TSP (996 μg/m3) was recorded at the Rana Pratap Bagh area, representing a pollution hotspot of Delhi. The maximum concentrations of PAHs were recorded at Udhyog Nagar, a region close to heavily loaded diesel vehicles, small rubber factories, and waste burning areas. Higher content of Cl- and Cl-/Na+ ratio (>1.7) suggests the presence of nonmarine anthropogenic sources of Cl- over Delhi. Minimum concentrations of OC, EC, WSOC, PAHs, and WSIS in TSP were observed at Kalkaji, representing the least polluted area in Delhi. Enrichment factor <5.0 at several locations and a significant correlation of Al with Mg, Fe, Ti, and Ca and C/N ratio indicated the abundance of mineral/crustal dust in TSP over Delhi. Principal component analysis (PCA) was also performed for the source apportionment of TSP, and extracted soil dust was found to be the major contributor to TSP, followed by biomass burning, open waste burning, secondary aerosol, and vehicular emissions.
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Affiliation(s)
- Ritu Jangirh
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Sakshi Ahlawat
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Rahul Arya
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Arnab Mondal
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Lokesh Yadav
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
| | - Garima Kotnala
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Pooja Yadav
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Nikki Choudhary
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Martina Rani
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Rubiya Banoo
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Akansha Rai
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Ummed Singh Saharan
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Neeraj Rastogi
- Physical Research Laboratory, Navrangpura, Ahmedabad, 380009, India
| | - Anil Patel
- Physical Research Laboratory, Navrangpura, Ahmedabad, 380009, India
| | - Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, New Delhi, 110006, India
| | - Priyanka Saxena
- CSIR - National Environmental Engineering Research Institute, Delhi Zonal Centre, New Delhi, India
| | - Narayanasamy Vijayan
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Chhemendra Sharma
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Sudhir Kumar Sharma
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Tuhin Kumar Mandal
- Environmental Sciences & Biomedical Metrology Division, CSIR - National Physical Laboratory, Dr. K S Krishnan Road, New Delhi, 110012, India.
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Stewart GJ, Nelson BS, Drysdale WS, Acton WJF, Vaughan AR, Hopkins JR, Dunmore RE, Hewitt CN, Nemitz E, Mullinger N, Langford B, Shivani, Reyes-Villegas E, Gadi R, Rickard AR, Lee JD, Hamilton JF. Sources of non-methane hydrocarbons in surface air in Delhi, India. Faraday Discuss 2021; 226:409-431. [PMID: 33336656 DOI: 10.1039/d0fd00087f] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Rapid economic growth and development have exacerbated air quality problems across India, driven by many poorly understood pollution sources and understanding their relative importance remains critical to characterising the key drivers of air pollution. A comprehensive suite of measurements of 90 non-methane hydrocarbons (NMHCs) (C2-C14), including 12 speciated monoterpenes and higher molecular weight monoaromatics, were made at an urban site in Old Delhi during the pre-monsoon (28-May to 05-Jun 2018) and post-monsoon (11 to 27-Oct 2018) seasons using dual-channel gas chromatography (DC-GC-FID) and two-dimensional gas chromatography (GC×GC-FID). Significantly higher mixing ratios of NMHCs were measured during the post-monsoon campaign, with a mean night-time enhancement of around 6. Like with NOx and CO, strong diurnal profiles were observed for all NMHCs, except isoprene, with very high NMHC mixing ratios between 35-1485 ppbv. The sum of mixing ratios of benzene, toluene, ethylbenzene and xylenes (BTEX) routinely exceeded 100 ppbv at night during the post-monsoon period, with a maximum measured mixing ratio of monoaromatic species of 370 ppbv. The mixing ratio of highly reactive monoterpenes peaked at around 6 ppbv in the post-monsoon campaign and correlated strongly with anthropogenic NMHCs, suggesting a strong non-biogenic source in Delhi. A detailed source apportionment study was conducted which included regression analysis to CO, acetylene and other NMHCs, hierarchical cluster analysis, EPA UNMIX 6.0, principal component analysis/absolute principal component scores (PCA/APCS) and comparison with NMHC ratios (benzene/toluene and i-/n-pentane) in ambient samples to liquid and solid fuels. These analyses suggested the primary source of anthropogenic NMHCs in Delhi was from traffic emissions (petrol and diesel), with average mixing ratio contributions from Unmix and PCA/APCS models of 38% from petrol, 14% from diesel and 32% from liquified petroleum gas (LPG) with a smaller contribution (16%) from solid fuel combustion. Detailed consideration of the underlying meteorology during the campaigns showed that the extreme night-time mixing ratios of NMHCs during the post-monsoon campaign were the result of emissions into a very shallow and stagnant boundary layer. The results of this study suggest that despite widespread open burning in India, traffic-related petrol and diesel emissions remain the key drivers of gas-phase urban air pollution in Delhi.
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Affiliation(s)
- Gareth J Stewart
- Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, YO10 5DD, UK.
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Chen Y, Beig G, Archer-Nicholls S, Drysdale W, Acton WJF, Lowe D, Nelson B, Lee J, Ran L, Wang Y, Wu Z, Sahu SK, Sokhi RS, Singh V, Gadi R, Nicholas Hewitt C, Nemitz E, Archibald A, McFiggans G, Wild O. Avoiding high ozone pollution in Delhi, India. Faraday Discuss 2021; 226:502-514. [DOI: 10.1039/d0fd00079e] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Quantify the influence of aerosol light extinction on surface ozone photochemistry, highlight controlling VOC for improving air quality in Delhi.
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Gadi R, Sharma SK, Mandal TK. Seasonal variation, source apportionment and source attributed health risk of fine carbonaceous aerosols over National Capital Region, India. Chemosphere 2019; 237:124500. [PMID: 31549639 DOI: 10.1016/j.chemosphere.2019.124500] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 07/30/2019] [Accepted: 07/30/2019] [Indexed: 06/10/2023]
Abstract
Deteriorating air quality with high levels of fine particulate matter (PM2.5) over National Capital Region (NCR) of India is one of the serious environmental and scientific issues. In this paper, PM2.5 samples were collected for 24 h twice or thrice a week during December 2016-December 2017 at three sites [Delhi (IG), Modinagar (MN) and Mahendragarh (HR)] over NCR to analyse the carbonaceous aerosols. Source apportionment of PM2.5 was attempted using Principal Component analysis (PCA) and Positive Matrix Factorization (PMF) based on the analysed carbonaceous fractions [Organic carbon, Elemental carbon, Secondary organic carbon (SOC)]. Organic compounds: alkanes, hopanes, steranes, polycyclic aromatic hydrocarbons (PAHs), phthalates, levoglucosan and n-alkanoic acids were analysed to distinguish the emission sources. Total Carbonaceous Aerosols (TCA) contributed significantly (∼26%) to PM2.5 which revealed their importance in source apportionment. Estimated SOC contributed 43.2%, 42.2% and 58.2% to OC and 5.4%, 5.3% and 7.8% to PM2.5 at IG, MN and HR sites respectively. PCA and PMF apportion five emission sources i.e., vehicular emissions (34.6%), biomass burning (26.8%), cooking emissions (15.7%), plastic and waste burning (13.5%) and secondary organic carbon (9.5%) for PM2.5. Source attributed health risk has also been calculated in terms of Lung cancer risk (LCR) associated with PAHs exposure and concluded that vehicular emissions (40.3%), biomass burning (38.1%), secondary organic carbon (12.8%) contributed higher to LCR (503.2 × 10-5; ∼503 cases in 1,00,000). Health risk assessment combined with source apportionment inferences signifies the immediate implementation of emissions reduction strategies with special target on transport sector and biomass burning over the NCR of India.
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Affiliation(s)
- Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, New Delhi, 110006, India.
| | - Sudhir Kumar Sharma
- National Physical Laboratory, Council of Scientific and Industrial Research (CSIR), New Delhi, 110012, India
| | - Tuhin Kumar Mandal
- National Physical Laboratory, Council of Scientific and Industrial Research (CSIR), New Delhi, 110012, India
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Gadi R, Sharma SK, Mandal TK. Source apportionment and health risk assessment of organic constituents in fine ambient aerosols (PM 2.5): A complete year study over National Capital Region of India. Chemosphere 2019; 221:583-596. [PMID: 30665088 DOI: 10.1016/j.chemosphere.2019.01.067] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 01/07/2019] [Accepted: 01/09/2019] [Indexed: 05/28/2023]
Abstract
Fine ambient aerosols (PM2.5) levels in the atmosphere are continuously worsening over Delhi and National Capital Region (NCR) of India. Complete source profiles are required to be assessed for implementation of proper mitigation measures over the NCR. In this study, emission sources of PM2.5 are reported for the NCR of India for samples collected during December 2016 to December 2017 at three sampling sites in Delhi, Uttar Pradesh and Haryana. Organic constituents (n-alkanes, isoprenoid hydrocarbons, polycyclic aromatic hydrocarbons, phthalates, levoglucosan and n-alkanoic acids) in PM2.5 were measured to apportion the sources over the study area. Source apportionment of PM2.5 was performed using organic constituents by Positive Matrix Factorization (PMF) and Principal Component Analysis (PCA). Health risk associated with organic pollutants [PAHs and carcinogen BEHP bis(2-ethylhexyl) phthalate] demonstrated the threat of PM2.5 exposure via inhalation. Transport pathways of air masses were evaluated using 3-day backward trajectories and observed that some air masses originated from local sources along with long-range transport which influenced the PAHs concentration during most of the study period over the NCR. PMF and PCA resulted in the five major emission sources [vehicular emissions (32.2%), biomass burning (30%), cooking emissions (16.8%), plastic burning (13.4%), mixed sources (7.6%) including biogenic and industrial emissions] for PM2.5 over the sampling sites. The present study reveals that transport sector is a major source to be targeted to reduce the vehicular emissions and consequent health risks associated with organic pollutants especially PAHs.
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Affiliation(s)
- Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, New Delhi, 110006, India.
| | - Sudhir Kumar Sharma
- National Physical Laboratory, Council of Scientific and Industrial Research (CSIR), New Delhi, 110012, India
| | - Tuhin Kumar Mandal
- National Physical Laboratory, Council of Scientific and Industrial Research (CSIR), New Delhi, 110012, India
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Yadav VB, Gadi R, Kalra S. Clay based nanocomposites for removal of heavy metals from water: A review. J Environ Manage 2019; 232:803-817. [PMID: 30529868 DOI: 10.1016/j.jenvman.2018.11.120] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 10/25/2018] [Accepted: 11/25/2018] [Indexed: 06/09/2023]
Abstract
The exponential increment in world population, recent industrialization, civilization, agricultural and household activities leads to greater levels of water pollution in terms of organic and inorganic contaminants. However, numerous workers have done research for the removal of these pollutants and various types of clays and/or modified clays have been extensively used for this purpose. But all identified adsorbent materials are not able to remove pollutants after certain concentration and sometimes these contaminants are left as such in environment which may create other environmental issues. This paper presents comprehensive information for the adsorption of heavy metal ions from water and waste water using various nanostructured adsorbents such as different clay minerals (kaolinite, montmorillonite) and clay (bentonite), carbon nanotube and nanocomposites. In addition to this, the efficiency of developed materials for the removal of heavy metals is also discussed in details along with comparison of their adsorption efficiencies, pH and change in specific surface area, initial metal ion concentration and contact time. This paper also states the future directions which could be followed to challenge the situation of removal of traces of heavy metals from water, hence protecting water bodies from high pollution load.
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Affiliation(s)
| | - Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, Delhi, India.
| | - Sippy Kalra
- Central Road Research Institute-CSIR, New Delhi, India.
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Lentine K, Lam N, Naik A, Axelrod D, Zhang Z, Dharnidharka V, Hess G, Segev D, Ouseph R, Randall H, Alhamad T, Devraj R, Gadi R, Kasiske B, Brennan D, Schnitzler M. Prescription opioid use before and after kidney transplant: Implications for posttransplant outcomes. Am J Transplant 2018; 18:2987-2999. [PMID: 29498196 PMCID: PMC6119653 DOI: 10.1111/ajt.14714] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Revised: 01/24/2018] [Accepted: 02/15/2018] [Indexed: 01/25/2023]
Abstract
Evolving literature suggests that the epidemic of prescription opioid use affects the transplant population. We examined a novel database wherein national U.S. transplant registry records were linked to a large pharmaceutical claims warehouse (2007-2015) to characterize prescription opioid use before and after kidney transplant, and associations (adjusted hazard ratio, 95%LCL aHR95%UCL ) with death and graft loss. Among 75 430 eligible patients, 43.1% filled opioids in the year before transplant. Use was more common among recipients who were women, white, unemployed, publicly insured, and with longer pretransplant dialysis. Of those with the highest level of pretransplant opioid use, 60% continued high-level use posttransplant. Pretransplant opioid use had graded associations with one-year posttransplant outcomes; the highest-level use predicted 46% increased risk of death (aHR 1.28 1.461.66 ) and 28% increased risk of all-cause graft failure (aHR 1.17 1.281.41 ). Effects of high-level opioid use in the first year after transplant were stronger, predicting twice the risk of death (aHR 1.93 2.242.60 ) and 68% higher all-cause graft failure risk (aHR 1.50 1.681.89 ) over the subsequent year; increased risk persisted over five years. While associations may, in part, reflect underlying conditions or behaviors, opioid use history is relevant in assessing and providing care to transplant candidates and recipients.
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Affiliation(s)
- K.L. Lentine
- Division of Abdominal Transplantation, Department of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - N.N. Lam
- Division of Nephrology, University of Alberta, Edmonton, AB, Canada
| | - A.S. Naik
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - D.A. Axelrod
- Division of Transplantation, Department of Surgery, Lahey Clinic, Burlington, MA, USA
| | - Z. Zhang
- Division of Abdominal Transplantation, Department of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - V.R. Dharnidharka
- Transplant Nephrology, Washington University School of Medicine, St. Louis, MO, USA
| | - G.P. Hess
- Symphony Health, Conshohocken, PA, USA
| | - D.L. Segev
- Center for Transplantation, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - R. Ouseph
- Division of Abdominal Transplantation, Department of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - H. Randall
- Division of Abdominal Transplantation, Department of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - T. Alhamad
- Transplant Nephrology, Washington University School of Medicine, St. Louis, MO, USA
| | - R. Devraj
- School of Pharmacy, Southern Illinois University, Edwardsville, IL, USA
| | - R. Gadi
- Division of Abdominal Transplantation, Department of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - B.L. Kasiske
- Department of Medicine, Hennepin County Medical Center, Minneapolis, MN, USAInstitution at which work was performed: Saint Louis University, St. Louis, MO, USA
| | - D.C. Brennan
- Center for Transplantation, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - M.A. Schnitzler
- Division of Abdominal Transplantation, Department of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA
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Gadi R, Sharma SK, Mandal TK, Kumar R, Mona S, Kumar S, Kumar S. Levels and sources of organic compounds in fine ambient aerosols over National Capital Region of India. Environ Sci Pollut Res Int 2018; 25:31071-31090. [PMID: 30187408 DOI: 10.1007/s11356-018-3044-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 08/22/2018] [Indexed: 06/08/2023]
Abstract
The study presents the spatial and temporal variation of fine ambient aerosols (PM2.5) over National Capital Region (NCR), India, during January to June 2016. The investigation includes three sampling sites, one in Delhi and two in the adjoining states of Delhi (Uttar Pradesh and Haryana), across NCR, India. The average PM2.5 concentration was highest for Delhi (128.5 ± 51.5 μg m-3) and lowest for Mahendragarh, Haryana (74.5 ± 28.7 μg m-3), during the study period. Seasonal variation was similar for all the sites with highest concentration during winter and lowest in summer. PM2.5 samples were analysed for organic compounds using gas chromatograph (GC). The concentration of three organic compound classes, n-alkanes (C11-C35), polycyclic aromatic hydrocarbons (PAHs), and phthalates, present in PM2.5 samples has been reported. Diagnostic ratios for n-alkanes demonstrated that biogenic emissions were dominant over Mahendragarh while major contributions were observed from petrogenic emissions over Delhi and Modinagar, Uttar Pradesh. Molecular diagnostic ratios were calculated to distinguish between different sources of PAHs, which revealed that the fossil fuel combustion (diesel and gasoline emissions), traffic emissions, and biomass burning are the major source contributors. Health risk associated with human exposure of phthalates and PAHs was also assessed as daily intake (DI, ng kg-1 day-1) and lung cancer risk, respectively. Backward trajectory analysis explained the local, regional, and long-range transport routes of PM2.5 for all sites. Principal component analysis (PCA) results summarized that the vehicular emissions, biomass burning, and plastic burning were the major sources of the PAHs and phthalates over the sampling sites.
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Affiliation(s)
- Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, New Delhi, 110006, India.
| | - Sudhir Kumar Sharma
- National Physical Laboratory, Council of Scientific and Industrial Research (CSIR), New Delhi, 110012, India
| | - Tuhin Kumar Mandal
- National Physical Laboratory, Council of Scientific and Industrial Research (CSIR), New Delhi, 110012, India
| | - Ravi Kumar
- Multanimal Modi College, Modinagar, Uttar Pradesh, 201204, India
| | - Sharma Mona
- Central University of Haryana, Mahendragarh, Haryana, 123031, India
| | - Sachin Kumar
- Multanimal Modi College, Modinagar, Uttar Pradesh, 201204, India
| | - Sanchit Kumar
- Central University of Haryana, Mahendragarh, Haryana, 123031, India
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Gupta S, Gadi R. Temporal Variation of Phthalic Acid Esters (PAEs) in Ambient Atmosphere of Delhi. Bull Environ Contam Toxicol 2018; 101:153-159. [PMID: 29700580 DOI: 10.1007/s00128-018-2337-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 04/04/2018] [Indexed: 06/08/2023]
Abstract
Phthalic acid esters (PAEs) are a group of chemical species, ubiquitously present in the environment and pose a serious risk to humans. In the present study, the average concentrations of PAEs in PM10 (particulate matter ≤ 10 µm) are reported at a densely populated site in Delhi. The average concentration of PAEs was reported to be 703.1 ± 36.2 ng m-3 with slightly higher concentrations in winter than in summer; suggesting that sources are relatively stable over the whole year. The average concentration of PAEs was 35.7 ± 30.5 ng m-3 in winter, 35.4 ± 27.0 ng m-3 in summer, 3.4 ± 1.5 ng m-3 in monsoon and 7.5 ± 5.2 ng m-3 in post-monsoon. Principal component analysis was performed, which suggested that emissions were mainly due to plasticizers, cosmetics and personal care products, municipal solid waste, thermal power stations, industrial wastewater, cement plants and coke ovens.
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Affiliation(s)
- Sarika Gupta
- Guru Gobind Singh Indraprastha University, Delhi, 110078, India
| | - Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, Delhi, 110006, India.
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Gupta S, Gadi R, Mandal TK, Sharma SK. Seasonal variations and source profile of n-alkanes in particulate matter (PM 10) at a heavy traffic site, Delhi. Environ Monit Assess 2017; 189:43. [PMID: 28039660 DOI: 10.1007/s10661-016-5756-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Accepted: 12/15/2016] [Indexed: 06/06/2023]
Abstract
Delhi is one of the most polluted cities in the world. The generation of aerosols in the lower atmosphere of the city is mainly due to a large amount of natural dust advection and sizable anthropogenic activities. The compositions of organic compounds in aerosols are highly variable in this region and need to be investigated thoroughly. Twenty-four-hour sampling to assess concentrations of n-alkanes (ng/m3) in PM10 was carried out during January 2015 to June 2015 at Indira Gandhi Delhi Technical University for Women (IGDTUW) Campus, Delhi, India. The total average concentration of n-alkanes, 243.7 ± 5.5 ng/m3, along with the diagnostic tools has been calculated. The values of CPI1, CPI2, and CPI3 for the whole range of n-alkanes series, petrogenic n-alkanes, and biogenic n-alkanes were 1.00, 1.02, and 1.04, respectively, and C max were at C25 and C27. Diagnostic indices and curves indicated that the dominant inputs of n-alkanes are from petrogenic emissions, with lower contribution from biogenic emissions. Significant seasonal variations were observed in average concentrations of n-alkanes, which is comparatively higher in winter (187.4 ± 4.3 ng/m3) than during the summer season (56.3 ± 1.1 ng/m3).
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Affiliation(s)
- Sarika Gupta
- Guru Gobind Singh Indraprastha University, Delhi, 110078, India
| | - Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, Delhi, 110006, India.
| | - T K Mandal
- CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi, 110012, India
| | - S K Sharma
- CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi, 110012, India
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Singh DP, Gadi R, Mandal TK, Dixit CK, Singh K, Saud T, Singh N, Gupta PK. Study of temporal variation in ambient air quality during Diwali festival in India. Environ Monit Assess 2010; 169:1-13. [PMID: 19757121 DOI: 10.1007/s10661-009-1145-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2009] [Accepted: 08/18/2009] [Indexed: 05/28/2023]
Abstract
The variation in air quality was assessed from the ambient concentrations of various air pollutants [total suspended particle (TSP), particulate matter < or =10 microm (PM(10)), SO(2), and NO(2)] for pre-Diwali, Diwali festival, post-Diwali, and foggy day (October, November, and December), Delhi (India), from 2002 to 2007. The extensive use of fireworks was found to be related to short-term variation in air quality. During the festival, TSP is almost of the same order as compared to the concentration at an industrial site in Delhi in all the years. However, the concentrations of PM(10), SO(2), and NO(2) increased two to six times during the Diwali period when compared to the data reported for an industrial site. Similar trend was observed when the concentrations of pollutants were compared with values obtained for a typical foggy day each year in December. The levels of these pollutants observed during Diwali were found to be higher due to adverse meteorological conditions, i.e., decrease in 24 h average mixing height, temperature, and wind speed. The trend analysis shows that TSP, PM(10), NO(2), and SO(2) concentration increased just before Diwali and reached to a maximum concentration on the day of the festival. The values gradually decreased after the festival. On Diwali day, 24-h values for TSP and PM(10) in all the years from 2002 to 2007 and for NO(2) in 2004 and 2007 were found to be higher than prescribed limits of National Ambient Air Quality Standards and exceptionally high (3.6 times) for PM(10) in 2007. These results indicate that fireworks during the Diwali festival affected the ambient air quality adversely due to emission and accumulation of TSP, PM(10), SO(2), and NO(2).
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Affiliation(s)
- D P Singh
- Indira Gandhi Institute of Technology, GGSIP University, Kashmere Gate, Delhi, 110006, India
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Yang J, Gadi R, Paulino R, Thomson T. Total phenolics, ascorbic acid, and antioxidant capacity of noni (Morinda citrifolia L.) juice and powder as affected by illumination during storage. Food Chem 2010. [DOI: 10.1016/j.foodchem.2010.03.022] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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18
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Singh N, Gadi R. Biological methods for speciation of heavy metals: different approaches. Crit Rev Biotechnol 2009. [DOI: 10.1080/07388550903284462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Dunbar R, Bloedon L, Gadi R, Duffy D, Baer A, Sasiela W, Rader D, Cuchel M. Abstract: P469 IMPACT OF HIGH DOSES OF THE MTP-INHIBITOR, AEGR-733, ON THE SINGLE DOSE PHARMACOKINETICS OF ATORVASTATIN AND ROSUVASTAIN. ATHEROSCLEROSIS SUPP 2009. [DOI: 10.1016/s1567-5688(09)70764-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Dunbar R, Bloedon L, Gadi R, Movva R, Baer A, Parris M, Sasiela W, Rader D, Cuchel M. Abstract: P471 IMPACT OF THE MTP-INHIBITOR AEGR-733 ON THE SINGLE-DOSE PHARMACOKINETICS OF EXTENDED-RELEASE NIACIN. ATHEROSCLEROSIS SUPP 2009. [DOI: 10.1016/s1567-5688(09)70766-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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