| Literature DB >> 35627373 |
Abstract
A bibliometric analysis based on the Scopus database was carried out to summarize the global research related to selenium in drinking water from 1990 to 2021 and identify the quantitative characteristics of the research in this period. The results from the analysis revealed that the number of accumulated publications followed a quadratic growth, which confirmed the relevance this research topic is gaining during the last years. High research efforts have been invested to define safe selenium content in drinking water, since the insufficient or excessive intake of selenium and the corresponding effects on human health are only separated by a narrow margin. Some important research features of the four main technologies most frequently used to remove selenium from drinking water (coagulation, flocculation and precipitation followed by filtration; adsorption and ion exchange; membrane-based processes and biological treatments) were compiled in this work. Although the search of technological options to remove selenium from drinking water is less intensive than the search of solutions to reduce and eliminate the presence of other pollutants, adsorption was the alternative that has received the most attention according to the research trends during the studied period, followed by membrane technologies, while biological methods require further research efforts to promote their implementation.Entities:
Keywords: bibliometric analysis; drinking water; research trends; selenium; treatments
Mesh:
Substances:
Year: 2022 PMID: 35627373 PMCID: PMC9140891 DOI: 10.3390/ijerph19105834
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1The redox potentials of selenium in acid and alkaline solutions.
Figure 2Annual (a) and accumulated (b) publication output.
The languages employed by the publications.
| Language | Publications | Contribution (%) |
|---|---|---|
| English | 1050 | 94.0 |
| Chinese | 33 | 3.0 |
| Russian | 13 | 1.2 |
| French | 7 | 0.6 |
| Czech | 3 | 0.3 |
| Japanese | 3 | 0.3 |
| Spanish | 3 | 0.3 |
| Bulgarian | 2 | 0.2 |
| German | 2 | 0.2 |
| Hungarian | 2 | 0.2 |
| Moldavian | 2 | 0.2 |
| Romanian | 1 | 0.1 |
| Ukrainian | 1 | 0.1 |
The top 31 most productive countries (at least 10 documents).
| Country | Publications | Contribution (%) | Publications/ | Publications/ |
|---|---|---|---|---|
| United States | 259 | 23.2 | 0.786 | 12.4 |
| China | 172 | 15.4 | 0.122 | 11.8 |
| India | 104 | 9.3 | 0.075 | 41.6 |
| Canada | 61 | 5.5 | 1.605 | 37.9 |
| Japan | 46 | 4.1 | 0.366 | 10.5 |
| Turkey | 44 | 3.9 | 0.522 | 43.1 |
| Italy | 37 | 3.3 | 0.621 | 21.3 |
| Germany | 36 | 3.2 | 0.432 | 10.5 |
| United Kingdom | 36 | 3.2 | 0.536 | 12.5 |
| France | 34 | 3.0 | 0.505 | 14.1 |
| Russian Federation | 33 | 3.0 | 0.229 | 23.2 |
| Brazil | 32 | 2.9 | 0.151 | 18.3 |
| Sweden | 31 | 2.8 | 2.995 | 58.2 |
| Spain | 30 | 2.7 | 0.634 | 25.4 |
| Egypt | 29 | 2.6 | 0.283 | 70.4 |
| Tunisia | 27 | 2.4 | 2.285 | 613.6 |
| Saudi Arabia | 25 | 2.2 | 0.718 | 38.4 |
| Bangladesh | 24 | 2.1 | 0.146 | 88.6 |
| Pakistan | 21 | 1.9 | 0.095 | 65.7 |
| Iran | 20 | 1.8 | 0.238 | 48.8 |
| Poland | 20 | 1.8 | 0.527 | 36.0 |
| Nigeria | 18 | 1.6 | 0.087 | 36.4 |
| Australia | 17 | 1.5 | 0.662 | 11.4 |
| Norway | 14 | 1.3 | 2.602 | 34.7 |
| Austria | 12 | 1.1 | 1.348 | 31.1 |
| Belgium | 12 | 1.1 | 1.038 | 25.7 |
| Denmark | 12 | 1.1 | 2.058 | 36.6 |
| South Africa | 12 | 1.1 | 0.202 | 35.7 |
| Switzerland | 12 | 1.1 | 1.390 | 16.2 |
| Greece | 11 | 1.0 | 1.027 | 59.5 |
| Czech Republic | 10 | 0.9 | 0.935 | 49.3 |
The top 18 most productive institutions (at least 10 documents).
| Institution | Publications | Contribution (%) |
|---|---|---|
| Chinese Academy of Sciences (CHINA) | 40 | 3.6 |
| Institute of Geographical Sciences and Natural Resources Research (CHINA) | 19 | 1.7 |
| University of Sfax (TUNISIA) | 16 | 1.4 |
| Università degli Studi di Modena e Reggio Emilia (ITALY) | 15 | 1.3 |
| University of Chinese Academy of Sciences (CHINA) | 15 | 1.3 |
| Panjab University (INDIA) | 14 | 1.3 |
| Environmental Protection Agency (USA) | 14 | 1.3 |
| Ministry of Education (CHINA) | 13 | 1.2 |
| Northeast Agricultural University (CHINA) | 13 | 1.2 |
| The University of Chicago (USA) | 13 | 1.2 |
| CHU Habib Bourguiba (TUNISIA) | 13 | 1.2 |
| University of Calgary (CANADA) | 12 | 1.1 |
| Karolinska Institutet (SWEDEN) | 12 | 1.1 |
| University of Saskatchewan (CANADA) | 12 | 1.1 |
| Columbia University (USA) | 12 | 1.1 |
| Universidade de São Paulo (BRAZIL) | 10 | 0.9 |
| Columbia Mailman School of Public Health (USA) | 10 | 0.9 |
| Universidade Federal de Santa Maria (BRAZIL) | 10 | 0.9 |
The top 9 most popular subject categories (at least 30 documents).
| Ranking | Subject | Publications | Contribution (%) |
|---|---|---|---|
| 1 | Environmental Science | 471 | 42.2 |
| 2 | Medicine | 359 | 32.1 |
| 3 | Biochemistry, Genetics and Molecular Biology | 281 | 25.2 |
| 4 | Chemistry | 226 | 20.2 |
| 5 | Pharmacology, Toxicology and Pharmaceutics | 164 | 14.7 |
| 6 | Agricultural and Biological Sciences | 105 | 9.4 |
| 7 | Earth and Planetary Sciences | 59 | 5.3 |
| 8 | Engineering | 49 | 4.4 |
| 9 | Chemical Engineering | 47 | 4.2 |
The top 8 most popular journals (at least 15 documents).
| Source | SJR 2020 | Publications | Contribution (%) |
|---|---|---|---|
| Biological Trace Element Research | 0.649 | 54 | 4.8 |
| Science of the Total Environment | 1.795 | 44 | 3.9 |
| Environmental Science and Pollution Research | 0.845 | 19 | 1.7 |
| Environmental Research | 1.460 | 18 | 1.6 |
| Environmental Science and Technology | 2.851 | 18 | 1.6 |
| Environmental Health Perspectives | 2.257 | 16 | 1.4 |
| Environmental Monitoring and Assessment | 0.590 | 15 | 1.3 |
| International Journal of Environmental Research and Public Health | 0.747 | 15 | 1.3 |
| Journal of Trace Elements in Medicine and Biology | 0.739 | 15 | 1.3 |
The top 10 most cited papers.
| Ranking | Articles | Times | FWCI |
|---|---|---|---|
| 1 | Title: | 1278 | 3.37 |
| 2 | Title: | 729 | 4.97 |
| 3 | Title: | 348 | 3.73 |
| 4 | Title: | 300 | 3.18 |
| 5 | Title: | 274 | 11.79 |
| 6 | Title: | 251 | 6.13 |
| 7 | Title: | 248 | 3.10 |
| 8 | Title: | 242 | 7.48 |
| 9 | Title: | 237 | 2.08 |
| 10 | Title: | 226 | 3.72 |
Figure 3The top 46 most frequently used keywords.
Figure 4Strategic diagrams of the subperiods: 1990–2001 (a), 2002–2011 (b), 2012–2019 (c) and 2020–2021 (d).
Citations, h-indexes and centrality and density values of the different clusters identified in the bibliometric network analysis.
| Cluster | Citations | h-Index | Centrality | Density |
|---|---|---|---|---|
| Subperiod 1 | ||||
| Rat | 1373 | 27 | 49.60 | 19.06 |
| Drinking-water | 1988 | 16 | 19.10 | 13.82 |
| Subperiod 2 | ||||
| Selenium | 7051 | 49 | 125.8 | 33.01 |
| West Bengal | 1858 | 35 | 28.34 | 17.44 |
| Glutathione-peroxidase | 1335 | 31 | 54.04 | 11.51 |
| Speciation | 1516 | 30 | 16.69 | 17.80 |
| Trace-element | 1080 | 29 | 26.05 | 4.03 |
| Subperiod 3 | ||||
| Rat | 1715 | 30 | 66.49 | 34.81 |
| Drinking-water | 2764 | 30 | 59.20 | 15.56 |
| Soil | 770 | 26 | 26.81 | 10.33 |
| Lead | 678 | 23 | 30.13 | 11.80 |
| Supplementation | 247 | 23 | 17.17 | 3.23 |
| Plasma-Mass-Spectrometry | 631 | 19 | 16.83 | 18.18 |
| Adsorption | 842 | 17 | 5.14 | 17.56 |
| Subperiod 4 | ||||
| Drinking-water | 412 | 8 | 63.42 | 25.93 |
| Oxidative-stress | 92 | 7 | 20.11 | 8.97 |
| Adsorption | 44 | 4 | 18.96 | 19.33 |
Figure 5Thematic evolution structure of selenium and drinking water research (1990–2021).
Figure 6Evolution of the thematic network structure of the clusters Rat/Selenium/Oxidative-stress: 1990–2001 (a), 2002–2011 (b), 2012–2019 (c) and 2020–2021 (d).
Figure 7Evolution of the thematic network structure of the clusters Drinking-water/Trace-element: 1990–2001 (a), 2002–2011 (b), 2012–2019 (c) and 2020–2021 (d).
Examples of application of reverse osmosis for selenium removal from water.
| Treated Water | Membrane | ΔP | Permeate Flux | Initial [Se] | Removal | Reference |
|---|---|---|---|---|---|---|
| Agricultural drainage water | - | 55 | 1.1 × 10−7 | 30,000 | 99.9 | [ |
| Mining polluted groundwater | PAC1/TW30 | 7 | - | 550 | 98 | [ |
| Synthetic aqueous solution | ESPA | 8 | - | 326 | 99 | [ |
| Groundwater | BW30 | 13 | 1.5 × 10−5 | 15 | 94 | [ |
| Mining polluted groundwater | - | - | - | 21 | 100 | [ |
| Potabilization inlet water | - | - | - | 5 | 100 | [ |
| Previously NF treated landfill leachate | BW30 | 76 | 3.6 × 10−6 | 63 | 94 | [ |
Examples of application of nanofiltration for selenium removal from water.
| Treated Water | Membrane | ΔP | Permeate Flux | Initial [Se] | Removal | Reference |
|---|---|---|---|---|---|---|
| Agricultural drainage water | Unidentified | - | - | 3000 | 95 | [ |
| Coal-fired power plant scrubber water | NF3A/PNF2 | - | - | 634 | 98.6 | [ |
| Synthetic aqueous solution | POSS-TFN | 10 | 1.5 × 10−5 | 100,000 | 97.4 | [ |
| Synthetic aqueous solution | UiO-66-TFN | 10 | 3.2 × 10−5 | 1,000,000 | 97.4 | [ |
| Synthetic aqueous solution | Zwitterionic copolymer-TFN | 10 | 2.4 × 10−5 | 1,000,000 | 99.9 | [ |
| Synthetic aqueous solution | Carbon quantum dots-TFN | 10 | 2.9 × 10−5 | 1,000,000 | 98.2 | [ |
| Synthetic aqueous solution | Polyamide intercalated membrane with | 0.5 | 1.2 × 10−4 | 100 | 98 | [ |
| Potabilization inlet water | NF1/NF2/NF20 | 14 | 3.9 × 10−5 | 400–2000 | 98 | [ |
Figure 8Selenium transformations in nature.