Muhammad Zaffar Hashmi

Mr. Muhammad Zaffar Hashmi


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 February 2020 in Environmental Science and Pollution Research
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Journal Article
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TITahira Irfan
Tahira Irfan
SKSofia Khalid
Sofia Khalid
MTMahwish Taneez
Mahwish Taneez
MHMuhammad Zaffar Hashmi
Muhammad Zaffar Hashmi

25 August 2016 in Environmental Science and Pollution Research
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Journal Article
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MJMuhammad Junaid
Muhammad Junaid
MHMuhammad Zaffar Hashmi
Muhammad Zaffar Hashmi
RMRiffat Naseem Malik
Riffat Naseem Malik
DPDesheng Pei
Desheng Pei

20 April 2020 in Polycyclic Aromatic Compounds
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Journal Article
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CCChomsri ChooChuay
Chomsri ChooChuay
Siwatt PongpiachanSiwatt Pongpiachan
Siwatt Pongpiachan
DTDanai Tipmanee
Danai Tipmanee
WDWoranuch Deelaman
Woranuch Deelaman
NINatthapong Iadtem
Natthapong Iadtem
JCJunji Cao
Junji Cao
PM2.5 is widely regarded as a major air pollutant due to its adverse health impacts and intimate relationship with the climate system. This study aims to characterize the chemical components (e.g., organic carbon (OC), elemental carbon (EC), water soluble ionic species (WSIS) and polycyclic aromatic hydrocarbons (PAHs) in PM2.5 collected at Doi–Inthanon in Chiang-Mai, Thailand, the highest mountain in Thailand. All samples (n = 50) were collected by MiniVolTM portable air samplers from March 2017 to March 2018. In this study we found the average PM2.5 concentration was 100 ± 48.6 μg m−3. The OC/EC ratio was 6.8 ± 3.0, and the decreasing order of the WSIS concentrations was SO42->Na+>Ca2+>NH4+>NO3->K+>Cl−>NO2->Mg2+> F-. The total concentrations of nineteen PAHs were defined as the sum of Ace, Fl, Phe, Ant, Fluo, Pyr, B[a]A, Chry, B[b]F, B[k]F, B[a]F, B[e]P, B[a]P, Per, Ind, B[g,h,i]P, D[a,h]A, Cor, and D[a,e]P. The concentration of total PAHs was 2.361 ± 2.154 µg m−3. Principal component analysis (PCA) highlights the importance of vehicular exhaust, biomass burning, diesel emissions, sea-salt aerosols and volatilization from fertilizers as the five dominant potential sources that accounted for 51.6%, 16.2%, 10.6%, 5.20% and 3.70% of the total variance, respectively. The rest of the 12.7% variance probably is associated with unidentified local and regional sources such as incinerators, joss paper/incense burning, and domestic cooking. Interestingly, the results from the source estimations from the PCA underlined the importance of vehicular exhaust as the major contributor to the PM2.5 concentrations in the ambient air of Don-Inthanon, Chiang-Mai province. However, it is crucial to emphasize that the impacts of agricultural waste burning, fossil fuel combustion, coal combustion and forest fires on the variations of OC, EC and WSIS contents were not negligible.

28 February 2019 in 3 Biotech
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DLDongyan Long
Dongyan Long
MHMuhammad Zaffar Hashmi
Muhammad Zaffar Hashmi
XSXiaomei Su
Xiaomei Su
Siwatt PongpiachanSiwatt Pongpiachan
Siwatt Pongpiachan

XTXianjin Tang
Xianjin Tang
MHMuhammad Zaffar Hashmi
Muhammad Zaffar Hashmi
DLDongyan Long
Dongyan Long
LCLitao Chen
Litao Chen
Muhammad Imran KhanMuhammad Imran Khan
Muhammad Imran Khan
CSChaofeng Shen
Chaofeng Shen
Due to the emerging environmental issues related to e-waste there is concern about the quality of paddy soils near e-waste workshops. The levels of heavy metals and PCBs and their influence on the enzyme activity and microbial community of paddy soils obtained from the immediate vicinity of an e-waste workshop were investigated in the present study. The results indicated that the heavy metal and PCB pollution did not differ significantly with an increase of the sampling point distances (5 to 30 m). The concentration of Cd (2.16 mg·kg−1) and Cu (69.2 mg·kg−1) were higher, and the PCB pollution was also serious, ranging from 4.9 to 21.6 μg·kg−1. The highest enzyme activity was found for urease compared to phosphatase and catalase, and a fluctuating trend in soil enzyme activity was observed in soils from different sampling sites. The microbial analysis revealed that there was no apparent correlation between the microbial community and the pollutants. However, a slight influence for soil microbial communities could be found based on DGGE, the Shannon index and PCA analysis. The present study suggests that the contamination stress of heavy metals and PCBs might have a slight influence on microbial activity in paddy soils. This study provides the baseline data for enzyme activities and microbial communities in paddy soil under the influence of mixed contamination.

22 November 2021 in Environmental Science and Pollution Research
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Journal Article
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MHMuhammad Zaffar Hashmi
Muhammad Zaffar Hashmi
KCKezhen Chen
Kezhen Chen
FKFoqia Khalid
Foqia Khalid
CYChunna Yu
Chunna Yu
XTXianjin Tang
Xianjin Tang
CSChaofeng Shen
Chaofeng Shen