Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2023Silver contamination and its toxicity and risk management in terrestrial and aquatic ecosystems54citations
  • 2022Biochar composites123citations
  • 2019Removal of various contaminants from water by renewable lignocellulose-derived biosorbents92citations
  • 2019Exploring the arsenic removal potential of various biosorbents from water168citations
  • 2018Trace element dynamics of biosolids-derived microbeads87citations
  • 2017Heavy metal immobilization and microbial community abundance by vegetable waste and pine cone biochar of agricultural soils302citations

Places of action

Chart of shared publication
Siddique, Kadambot H. M.
1 / 2 shared
Zhang, Tao
1 / 23 shared
Wang, Hailong
2 / 3 shared
Balasubramanian, Rajasekhar
1 / 2 shared
Padhye, Lokesh P.
1 / 1 shared
Bolan, Nanthi
3 / 11 shared
Zhao, Jian
1 / 3 shared
Zhang, Yingyu
1 / 1 shared
Biswal, Basanta Kumar
1 / 1 shared
Tsyusko, Olga V.
1 / 1 shared
Unrine, Jason M.
1 / 1 shared
Li, Yang
1 / 24 shared
Jasemizad, Tahereh
1 / 1 shared
Bolan, Shiv
1 / 1 shared
Tsang, Daniel C. W.
3 / 9 shared
Alessi, Daniel S.
1 / 2 shared
Wang, Liuwei
1 / 1 shared
Mašek, Ondřej
1 / 4 shared
Ok, Yong Sik
4 / 15 shared
Hou, Deyi
1 / 3 shared
Hosseini-Bandegharaei, Ahmad
1 / 7 shared
Tran, Hai Nguyen
1 / 3 shared
Ivanets, Andrei
1 / 5 shared
Sarmah, Ajit Kumar
1 / 1 shared
Dotto, Guilherme Luiz
1 / 4 shared
Nguyen, Hoang Chinh
1 / 1 shared
Vigneswaran, Saravanamuthu
1 / 3 shared
Bui, Tho Truong
1 / 1 shared
Nguyen, Tien Vinh
1 / 1 shared
Chao, Huan Ping
1 / 1 shared
Woo, Seung Han
1 / 2 shared
Bundschuh, Jochen
1 / 1 shared
Shahid, Muhammad
1 / 12 shared
Shaheen, Sabry M.
1 / 1 shared
Nawaz, Muhammad Farrakh
1 / 1 shared
Saqib, Zulfiqar Ahmad
1 / 1 shared
Bibi, Irshad
1 / 2 shared
Niazi, Nabeel Khan
1 / 1 shared
Shakoor, Muhammad Bilal
1 / 1 shared
Kirkham, M. B.
1 / 1 shared
Dharmarajan, Rajarathnam
1 / 1 shared
Kunhikrishnan, Anitha
1 / 3 shared
Seshadri, Balaji
1 / 2 shared
Obadamudalige, Nadeeka
1 / 1 shared
Bradney, Lauren
1 / 1 shared
Wijesekara, Hasintha
1 / 1 shared
Kwon, Eilhann E.
1 / 2 shared
Lee, Young Han
1 / 1 shared
Lee, Sung-Eun
1 / 1 shared
Igalavithana, Avanthi Deshani
1 / 2 shared
Chart of publication period
2023
2022
2019
2018
2017

Co-Authors (by relevance)

  • Siddique, Kadambot H. M.
  • Zhang, Tao
  • Wang, Hailong
  • Balasubramanian, Rajasekhar
  • Padhye, Lokesh P.
  • Bolan, Nanthi
  • Zhao, Jian
  • Zhang, Yingyu
  • Biswal, Basanta Kumar
  • Tsyusko, Olga V.
  • Unrine, Jason M.
  • Li, Yang
  • Jasemizad, Tahereh
  • Bolan, Shiv
  • Tsang, Daniel C. W.
  • Alessi, Daniel S.
  • Wang, Liuwei
  • Mašek, Ondřej
  • Ok, Yong Sik
  • Hou, Deyi
  • Hosseini-Bandegharaei, Ahmad
  • Tran, Hai Nguyen
  • Ivanets, Andrei
  • Sarmah, Ajit Kumar
  • Dotto, Guilherme Luiz
  • Nguyen, Hoang Chinh
  • Vigneswaran, Saravanamuthu
  • Bui, Tho Truong
  • Nguyen, Tien Vinh
  • Chao, Huan Ping
  • Woo, Seung Han
  • Bundschuh, Jochen
  • Shahid, Muhammad
  • Shaheen, Sabry M.
  • Nawaz, Muhammad Farrakh
  • Saqib, Zulfiqar Ahmad
  • Bibi, Irshad
  • Niazi, Nabeel Khan
  • Shakoor, Muhammad Bilal
  • Kirkham, M. B.
  • Dharmarajan, Rajarathnam
  • Kunhikrishnan, Anitha
  • Seshadri, Balaji
  • Obadamudalige, Nadeeka
  • Bradney, Lauren
  • Wijesekara, Hasintha
  • Kwon, Eilhann E.
  • Lee, Young Han
  • Lee, Sung-Eun
  • Igalavithana, Avanthi Deshani
OrganizationsLocationPeople

article

Exploring the arsenic removal potential of various biosorbents from water

  • Tsang, Daniel C. W.
  • Bundschuh, Jochen
  • Shahid, Muhammad
  • Shaheen, Sabry M.
  • Nawaz, Muhammad Farrakh
  • Saqib, Zulfiqar Ahmad
  • Rinklebe, Jörg
  • Bibi, Irshad
  • Niazi, Nabeel Khan
  • Shakoor, Muhammad Bilal
  • Wang, Hailong
  • Ok, Yong Sik
Abstract

Globally, contamination of groundwater with toxic arsenic (As) is an environmental and public health issue given to its carcinogenic properties, thereby threatening millions of people relying on drinking As-contaminated well water. Here, we explored the efficiency of various biosorbents (egg shell, java plum seed, water chestnut shell, corn cob, tea waste and pomegranate peel) for arsenate (As(V)) and arsenite (As(III)) removal from As-contaminated water. Significantly, egg shell and java plum seed displayed the greatest As(III) elimination (78–87%) at 7 pH followed by water chestnut shell (75%), corn cob (67%), tea waste (74%) and pomegranate peel (65%). In contrast, 71% and 67% of As(V) was removed at pH 4.1 and 5.3 by egg shell and java plum seed, respectively. The maximum As(V) and As(III) sorption by all the biosorbents was obtained, notably for egg shell and java plum seed, after 2 h contact time. Langmuir isotherm and pseudo-second order models best fitted the sorption data for both forms of As. The –OH, –COOH, –NH2 and sulfur-bearing surface functional groups were possibly involved for As(III) and As(V) removal by biosorbents. The scanning electron microscopy combined with the energy dispersive X-ray spectroscopy (SEM-EDX) analysis showed that the heterogeneous surface of biosorbents, possessing rough and irregular areas, could have led to As sorption. Both As(V) and As(III) were successfully desorbed (up to 97%) from the biosorbents in four sorption/desorption (regeneration) cycles. This pilot-scale study highlights that egg shell and java plum seed have the greatest ability to remove both As species from As-contaminated drinking water. Importantly, these findings provide insights to develop an inexpensive, effective and sustainable filtration technology for the treatment of As in drinking water, particularly in developing countries like Pakistan.

Topics
  • impedance spectroscopy
  • surface
  • scanning electron microscopy
  • Energy-dispersive X-ray spectroscopy
  • Arsenic