4.1. Bibliometric analysis- Citation analysis of the collected FTP literature
4.1.1. Productive and Domineering articles
The rise in trend of the study of F&T of PPCPs has rapidly influenced novel publications’ mean and total citations. The mean citations per article and total mean citations per year have been depicted in Fig. 3, the citations being rounded to a whole number. The publication year of documents is plotted across the x-axis, mean citations per document across the primary y-axis, and mean citations per year across the secondary y-axis. The mean citation per document in 1996 is 7, which jumped to 112 in 1998 as an article published on the theoretical absorption model for passive diffusion via biological membranes was published in the year with 273 citations (Carmenisch et al., 1998). The mean citations per document again rose to 200 in 2001, and 240 in 2005. After 2005, the mean citations/document followed a general downwards trend and the mean citation/documents decreases to 4 in 2021. It is clear from Fig. 1 that the publication rate went on increasing in recent years, because of which the mean citations/documents declined. The mean total citation/year also seeks a similar trend with the mean citations/document till 2019. Initially, the mean citations/year was 0 which rose to 49 in 2002, and then declined to 9 in 2003, after which it followed almost a stagnant trend; the value of the citation varies from 7,15,5,6,11,7,7,9,8,7,9,9 and 6 from 2004 to 2016, respectively. The value of mean citation/year again rose from 17 in 2017 to 16 in 2020. The key evidence conferred that F&T of PPCPs research documents have 69.23 average citations/document and 7.472 average citations/year/document. The section analyses and demonstrates the highest cited articles in the field of F&T of PPCPs research. The top 20 most cited papers in F&T of PPCPs can be seen in Table 2.
Table 2
Top 20 papers with highest citations in F&T of PPCPs study
| TITLE | Journal of Hazardous Materials | Cited | References |
1 | Pharmaceuticals, hormones, and other organic wastewater contaminants in U.S. streams, 1999–2000: A national reconnaissance | Environmental Science and Technology | 6400 | Kolpin et al., 2002 |
2 | Fate of endocrine-disruptor, pharmaceutical, and personal care product chemicals during simulated drinking water treatment processes | Environmental Science and Technology | 1140 | Westerhoff et al., 2005 |
3 | The occurrence of pharmaceuticals, personal care products, endocrine disruptors and illicit drugs in surface water in South Wales, UK | Water Research | 816 | Kasprzyk-Hordern et al., 2008 |
4 | Pharmaceuticals and personal care products (PPCPs) in the freshwater aquatic environment | Emerging Contaminants | 726 | Ebele et al., 2017 |
5 | Pharmaceuticals, personal care products, and endocrine disruptors in water: Implications for the water industry | Environmental Engineering Science | 685 | Snyder et al., 2003 |
6 | Occurrence and fate of pharmaceutically active compounds in the environment, a case study: Höje River in Sweden | Journal of Hazardous Materials | 642 | Bendz et al., 2005 |
7 | A national reconnaissance for pharmaceuticals and other organic wastewater contaminants in the United States - II) Untreated drinking water sources | Science of the Total Environment | 609 | et al., 2008 |
8 | Physicochemical profiling (solubility, permeability and charge state. | Current topics in medicinal chemistry | 474 | Avdeef et al., 2001 |
9 | Vitamin E TPGS as a molecular biomaterial for drug delivery | Biomaterials | 442 | Zhang et al., 2012 |
10 | BDDCS applied to over 900 drugs | AAPS Journal | 438 | Benet et al., 2011 |
11 | Occurrence, sources, and fate of pharmaceuticals in aquatic environment and soil | Environmental Pollution | 437 | Li et al., 2014 |
12 | The role of ABC transporters in drug resistance, metabolism and toxicity. | Current drug delivery | 425 | Glavinas et al., 2004 |
13 | Skin penetration enhancers | International Journal of Pharmaceutics | 408 | Lane et al., 2013 |
14 | Biodegradable nanoparticles for cytosolic delivery of therapeutics | Advanced Drug Delivery Reviews | 395 | Vasir et al., 2007 |
15 | Detection and fate of antibiotic resistant bacteria in wastewater treatment plants: A review | Ecotoxicology and Environmental Safety | 382 | Bouki et al., 2013 |
16 | Measurement of triclosan in wastewater treatment systems | Environmental Toxicology and Chemistry | 370 | McAvoy et al., 2002 |
17 | Hospital effluent: Investigation of the concentrations and distribution of pharmaceuticals and environmental risk assessment | Science of the Total Environment | 351 | Verlicchi et al., 2012 |
18 | Antidepressants and their metabolites in municipal wastewater, and downstream exposure in an urban watershed | Environmental Toxicology and Chemistry | 335 | Metcalfe et al., 2010 |
19 | Occurrence, sources and fate of pharmaceuticals and personal care products in the groundwater: A review | Emerging Contaminants | 331 | Sui et al., 2015 |
20 | Fate of diclofenac in municipal wastewater treatment plant - A review | Environment International | 317 | Vieno et al., 2014 |
4.1.2. Productivity and dominance of Sources
Based on Scopus data collected, the 577 documents extracted were published in a total of 213 journals. However, 143 journals have had only 1 article published in the area of study. A list of the top 20 journals in the F&T study is provided in Table 3. These top 20 journals published 51.47% of the total documents. "Science of the Total Environment" with 74 articles (34.74%) secures the topmost rank among the journals, followed by "Chemosphere", "Water Environment Research", "water Research" and "Environmental Pollution" published 28, 23, 21, and 18 articles in F&T study of PPCPs, thus accounting for 13.15%, 10.8%, 9.86% and 8.45% of all the publications, respectively. The table also highlights the journals' h index, g index, and m index.
Table 3
Top 20 most productive sources in publishing research in F&T of PPCPs
Rank | Sources | Publisher | Impact Factor | Articles | h_index | g_index | m_index | TC |
1 | SCIENCE OF THE TOTAL ENVIRONMENT | Elsevier | 7.963 (2020) | 74 | 33 | 64 | 1.57 | 4171 |
2 | CHEMOSPHERE | Elsevier | 7.086 (2020) | 28 | 19 | 28 | 1.12 | 1385 |
3 | WATER ENVIRONMENT RESEARCH | Water Environment Federation | 1.85 (2020) | 23 | 9 | 13 | 0.64 | 230 |
4 | WATER RESEARCH | Elsevier | 11.236 (2021) | 21 | 16 | 19 | 1.07 | 2106 |
5 | ENVIRONMENTAL POLLUTION | Elsevier | 8.071 (2020) | 18 | 14 | 17 | 1.4 | 1394 |
6 | ENVIRONMENTAL SCIENCE AND TECHNOLOGY | ACS Publications | 9.028 (2021) | 18 | 17 | 18 | 0.81 | 9195 |
7 | ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY | Wiley-Blackwell | 3.742 (2021) | 14 | 12 | 14 | 0.57 | 1222 |
8 | INTERNATIONAL JOURNAL OF PHARMACEUTICS | Elsevier | 5.72 (2021) | 14 | 11 | 14 | 0.5 | 873 |
9 | JOURNAL OF HAZARDOUS MATERIALS | Elsevier | 10.588 (2021) | 13 | 10 | 13 | 0.56 | 1348 |
10 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH | Springer Science + Business Media | 4.223 (2021) | 12 | 6 | 10 | 0.43 | 393 |
11 | EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES | Elsevier | 4.38 (2020) | 8 | 6 | 8 | 0.24 | 560 |
12 | EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS | Elsevier | 5.571 (2020) | 8 | 7 | 8 | 0.29 | 310 |
13 | JOURNAL OF CONTROLLED RELEASE | Elsevier | 9.776 (2020) | 8 | 7 | 8 | 0.37 | 679 |
14 | JOURNAL OF PHARMACEUTICAL SCIENCES | Elsevier | 3.534 (2020) | 8 | 7 | 8 | 0.58 | 123 |
15 | ADVANCED DRUG DELIVERY REVIEWS | Elsevier | 15.47 (2020) | 6 | 6 | 6 | 0.3 | 971 |
16 | BIOLOGICAL AND PHARMACEUTICAL BULLETIN | Pharmaceutical Society of Japan (Japan) | 2.23 (2021) | 6 | 5 | 6 | 0.29 | 140 |
17 | DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY | Informa Pharmaceutical Science | 3.225 (2021) | 6 | 4 | 5 | 0.19 | 79 |
18 | ENVIRONMENT INTERNATIONAL | Elsevier | 9.621 (2021) | 6 | 6 | 6 | 0.6 | 852 |
19 | ENVIRONMENTAL MONITORING AND ASSESSMENT | Springer | 2.513 (2020) | 6 | 5 | 5 | 0.36 | 166 |
20 | EXPERT OPINION ON DRUG DELIVERY | Taylor & Francis | 6.648 (2020) | 6 | 5 | 6 | 0.29 | 219 |
4.1.3. Productivity and Dominance of Countries
According to Scopus data, the 577 articles were published by authors from 66 different countries. However, 12 countries published only one article. Figure 5 represents the country's scientific production in FTP research, where the dark blue color represents the country is on top and the lightest shade of blue represents the country's less involvement in the research. It is observed that USA and China are the leading countries in the FTP study. Table 4 summarizes the top 20 countries involved in the study based on various parameters. The parameters to assess the performance of a country are the total number of articles (NoA) published, possessing single authorship by the country, the number of articles having the first authorship, its H- Index, and the collaboration among the countries, and the citation analysis. The top five productive countries based on the total number of articles published in the research area are the USA (35.01%), China (12.48%), Germany (9.53%), and the United Kingdom (8.67%), and Canada (6.59%). The ranking of a country is based on the Single Authorship (SA) which indicates the number of articles written by a single country and First Authorship (FA) indicating the number of articles having the first author of the country is the USA, China, Germany, UK, and Canada. The H Index (H-I) of the country indicates the country's overall performance by the Scientific Journal Ranking (SJR) in the area of "Environmental Engineering" and does not particularly relate to F&T of PPCPs. The highest productive country according to H Index is the US, China, India, the UK, and Canada. The collaboration among the top 20 countries has been shown in Fig. 6. The thickness of the lines indicates the number the collaborations, the order of maximum collaboration as apprehended from Fig. 6 is USA-China, USA-Canada, USA-Spain, and USA-UK. The countries located in the center imply the highest tendency of collaboration i.e. USA and the countries having marginal positions such as India, and Belgium indicate their secluded research efforts. The highest ranking based on the collaborations (link and total link strength (TLS)) as seen in Table 4 are the US, UK, China, and Germany. The parameter, link in the table indicates the number of collaborations with other countries in the top 20 list, and the total link strength indicates the total number of documents in which the country has collaborated with all other countries involved in the research of F&T of PPCPs. The countries are also ranked based on the total number of citations (TC) of the articles and the normalized citation score (NCS). The NCS is equal to the total citations of a particular country divided by the mean citations of all the articles published in the same year by other countries. The NCS is of paramount importance as it is a correction of the fact that older articles get more time to be cited.
Table 4
Ranking of top 20 countries based on parameters assessing country’s productivity
COUNTRY | NoA | SA | FA | H-I | Link | TLS | TC | NCS |
United States | 202 (1) | 124 (1) | 162 (1) | 335 (1) | 18 (1) | 265 (1) | 19931 (1) | 186.59 (1) |
China | 72 (2) | 40 (2) | 58 (2) | 266 (2) | 16 (2) | 114 (2) | 4137 (3) | 96.73 (2) |
Germany | 55 (3) | 32 (3) | 37 (3) | 199 (7) | 13 (4) | 59 (4) | 3225 (4) | 48.93 (4) |
United Kingdom | 50 (4) | 21 (4) | 30 (4) | 230 (4) | 16 (2) | 121 (3) | 4319 (2) | 77.85 (3) |
Canada | 38 (5) | 19 (5) | 28 (5) | 208 (5) | 12 (5) | 43 (6) | 2073 (5) | 34.34 (7) |
Spain | 33 (6) | 13 (7) | 26 (6) | 204 (6) | 10 (9) | 50 (5) | 1651 (6) | 34.62 (5) |
Australia | 26 (7) | 7 (12) | 15 (9) | 197 (8) | 11 (6) | 41 (8) | 1353 (8) | 34.36 (6) |
Denmark | 23 (8) | 9 (9) | 18 (7) | 156 (13) | 9 (10) | 32 (10) | 1344 (9) | 19.26 (9) |
Italy | 20 (9) | 6 (15) | 13 (10) | 170 (11) | 5 (14) | 10 (16) | 1294 (11) | 22.56 (8) |
Japan | 20 (10) | 13 (7) | 13 (10) | 165 (12) | 5 (14) | 10 (16) | 568 (14) | 12.81 (14) |
Switzerland | 20 (11) | 8 (10) | 13 (10) | 149 (15) | 11 (6) | 32 (10) | 1523 (7) | 16.82 (13) |
India | 18 (12) | 16 (6) | 17 (8) | 236 (3) | 2 (20) | 4 (19) | 717 (13) | 16.92 (12) |
Sweden | 17 (13) | 4 (18) | 7 (18) | 153 (14) | 11 (6) | 43 (6) | 1337 (10) | 17.04 (11) |
France | 15 (14) | 7 (12) | 8 (17) | 185 (10) | 6 (13) | 8 (18) | 414 (17) | 9.40 (17) |
Israel | 12 (15) | 5 (16) | 9 (15) | 83 (20) | 8 (11) | 34 (9) | 529 (15) | 8.24 (18) |
Netherlands | 12 (16) | 3 (19) | 6 (19) | 186 (9) | 5 (14) | 11 (15) | 506 (16) | 11.23 (16) |
Singapore | 11 (17) | 5 (16) | 9 (15) | 119 (18) | 7 (12) | 23 (12) | 1173 (12) | 18.95 (10) |
Belgium | 10 (18) | 2 (20) | 5 (20) | 136 (16) | 3 (19) | 4 (19) | 262 (19) | 6.67 (19) |
Poland | 10 (19) | 8 (10) | 10 (13) | 104 (19) | 5 (14) | 14 (13) | 285 (18) | 12.51 (15) |
South Korea | 10 (20) | 5 (12) | 7(13) | 176 (17) | 5 (14) | 12 (14) | 213 (20) | 17.02 (20) |
The growth trend in the research area of the top 5 countries is depicted in Fig. 7. It is observed that since 2000, the USA is dominating all other countries. A few reasons for the increased research in the USA in the context of PPCPs could be due to increased scientific output and environmental awareness and the search for technologies to take care of the harm posed due to the increasing concentration of PPCPs in the environment. The sponsorship information of the research from various countries has been Tabulated in Table 5. The maximum number of sponsors is from the USA followed by China. The dominance of the USA here may be because of the strong support of the government of the USA in monitoring water resources.
Table 5
Top 20 funding sponsors of F&T of PPCPs research projects
Rank | Sponsorship Program | Funded Articles | Country | Type |
1 | National Natural Science Foundation of China | 39 | China | Public |
2 | European Commission | 24 | Multiple | Public |
3 | National Institutes of Health | 16 | USA | Public |
4 | National Science Foundation | 15 | USA | Public |
5 | European Regional Development Fund | 14 | Multiple | Public |
6 | Horizon 2020 Framework Programme | 10 | Multiple | Public |
7 | Deutsche Forschungsgemeinschaft | 9 | Germany | Public |
8 | Ministerio de Economía y Competitividad | 9 | Spain | Public |
9 | Ministry of Science and Technology of the People's Republic of China | 8 | China | Public |
10 | National Institute of General Medical Sciences | 8 | USA | Public |
4.1.4. Dynamic Authors in FTP research
A total of 2418 distinct authors have published in FTP research. The average count of authors per article is 4.19. Among 2418 authors 2100 have published only one document, and 18 documents are single-authored. Information regarding the top 25 authors in FTP research based on the number of articles (NoA) has been tabulated in Table 6 and based on citations have been tabulated in Table 7. The top 20 universities/institutes to which the maximum numbers of authors are affiliated can be seen in Fig. 8, where 40, 38, and 27 authors are affiliated with the University of California, University of Copenhagen, and Ghent University respectively. Also, the affiliation of top authors has been tabulated in Table 6 and Table 7. According to Table 6, Mearns, Alan J. ranks as the dominant author with 10 published articles followed by Rempel-Hester, Mary Ann, Arthur, Courtney D., Barceló, Damià À., and Li, Hui having published 10,9,8 and 8 documents respectively. Referring to Table 7, Barber, Larry B., has the highest citation of 7189, followed by Meyer, Michael T., Furlong, Edward T., Kolpin, D. W., and Zaugg, Steven D. with 7058, 7027, 7027, and 7027 citations respectively. Overall, US and Spain researchers have secured the top 5 positions. Figure 9 depicts the co-authorship network of the top 50 authors in FTP research. It is seen that only 37 authors had collaborations. Table 6 and Table 7 provide co-authorship information of authors including links, total link strength, and normalized citation score. The top 25 authors' production over years can be seen in Fig. 10. The top authors have been active after 2006, the average publication year of the top 25 authors, along with the H-I index of the authors can be seen in Table 6 and Table 7.
Table 6
Top twenty-five most productive authors in publishing research articles on FTP
Author | COUNTRY | AFFILIATION | NoA | FA | citations | Avg Publication Year | Normalized citation score | Link | total link strength | H-I |
Mearns, Alan J. | US | National Oceanic and Atmospheric Administration | 10 (1) | 10 | 80 (18) | 2015.5 | 1.85 (16) | 10 (19) | 10 (18) | 16 (16) |
Rempel-Hester, Mary Ann | US | Ecoanalysts, USA | 10 (1) | 0 | 80 (18) | 2015.5 | 1.85 (16) | 10 (19) | 10 (18) | 7 (21) |
Arthur, Courtney D. | US | Industrial Economics, Incorporated, Cambridge | 9 (3) | 0 | 66 (21) | 2016 | 1.68 (18) | 10 (19) | 10 (18) | 7 (21) |
Barceló, Damià À. | Spain | Catalan Institute of Water Research | 8 (4) | 0 | 996 (3) | 2014.5 | 18.61 (1) | 61 (12) | 73 (12) | 130 (1) |
Li, Hui | US | Michigan State University | 8 (4) | 1 | 633 (6) | 2012.5 | 8.94 (8) | 95 (8) | 142 (6) | 42 (10) |
Chen, Xin | China | Capital Medical University | 8 (4) | 0 | 341 (11) | 2014.38 | 7.74 (10) | 46 (14) | 76 (11) | 6 (23) |
Reish, Donald J. | US | California State University Long Beach | 8 (4) | 0 | 70 (23) | 2014.5 | 1.37 (20) | 10 (19) | 10 (18) | 17 (14) |
Rutherford, Nicolle | US | National Oceanic and Atmospheric Administration | 8 (4) | 0 | 59 (22) | 2016.5 | 1.58 (19) | 10 (19) | 10 (18) | 8 (20) |
Oshida, Philip S. | US | United States Environmental Protection Agency | 7 (9) | 0 | 66 (21) | 2014 | 1.14 (23) | 4 (25) | 4 (24) | 10 (18) |
Barber, Larry B. | US | United States Geological Survey | 5 (10) | 0 | 7189 (1) | 2008.2 | 13.06 (2) | 420 (2) | 572 (2) | 51 (8) |
Xu, Jian | China | Chinese Research Academy of Environmental Sciences | 5 (10) | 1 | 424 (9) | 2014.2 | 7.14 (11) | 67 (10) | 112 (8) | 43 (9) |
Yu, Gang | China | Tsinghua University | 5 (10) | 0 | 411 (10) | 2019 | 11.6 (4) | 64 (11) | 70 (13) | 77 (3) |
Morse, Audra N. | US | Michigan Technological University | 5 (10) | 0 | 226 (13) | 2012.4 | 3.07 (15) | 124 (5) | 172 (5) | 17 (14) |
Wang, Yongjun | China | Shenyang Pharmaceutical University | 5 (10) | 2 | 158 (14) | 2015.6 | 3.94 (14) | 28 (18) | 28 (17) | 36 (11) |
Pellegrin, Marie Laure | US | HDR, Tampa | 5 (10) | 0 | 97 (15) | 2011.8 | 1.34 (21) | 144 (3) | 179 (3) | 9 (19) |
Wells, Martha J.M. | US | EnviroChem Services, Cookville | 5 (10) | 1 | 97 (15) | 2011.8 | 1.34 (21) | 145 (3) | 179 (3) | 22 (12) |
Wang, Bin | China | Shandong University | 5 (10) | 0 | 83 (17) | 2020 | 5.28 (13) | 30 (17) | 39 (16) | 52 (7) |
Ginn, Thomas C. | US | Exponent, Inc., Alexandria | 5 (10) | 0 | 58 (24) | - | - | 58 (13) | 0 (25) | 12 (17) |
Morrison, Ann Michelle | US | Exponent, Inc., Alexandria | 5 (10) | 0 | 22 (25) | 2018 | 0.9 (24) | 10 (19) | 10 (18) | 4 (24) |
Kolpin, D. W. | US | United States Geological Survey | 4 (20) | 1 | 7027 (2) | 2011.75 | 11.96 (3) | 430 (1) | 580 (1) | 62 (5) |
Snyder, Shane A. | Singapore | Nanyang Environment & Water Research Institute | 4 (20) | 1 | 757 (4) | 2010.75 | 5.65 (12) | 70 (9) | 89 (10) | 71 (4) |
Petrovic, Mira | Spain | Catalan Institute for Water Research | 4 (20) | 0 | 648 (4) | 2015.75 | 11.56 (5) | 44 (15) | 53 (14) | 79 (2) |
Conkle, Jeremy Landon | US | Texas A and M University- Corpus Christi | 4 (20) | 1 | 564 (6) | 2013 | 9.73 (7) | 105 (6) | 119 (8) | 18 (13) |
Gan, Jay | US | University of California, Riverside | 4 (20) | 0 | 563 (8) | 2014.25 | 9.91 (6) | 102 (7) | 121 (7) | 60 (6) |
Li, Zhuoxuan | Denmark | Faculty of Health and Medical Sciences, Copenhagen | 4 (20) | 1 | 356 (11) | 2016 | 8.22 (9) | 38 (16) | 43 (15) | 1 (25) |
Table 7
Top twenty-five most productive authors of most cited articles in FTP research
author | COUNTRY | AFFILIATION | citations | Avg Publication Year | Normalized citation score | Documents | FA | Link | total link strength | H-I |
Barber, Larry B. | US | United States Geological Survey, Reston | 7189 | 2008.2 | 13.06 (2) | 5 (3) | 0 | 420 (2) | 572 (2) | 51 (11) |
Meyer, Michael T. | US | United States Geological Survey, Reston | 7058 | 2006.67 | 11.97 (3) | 3 (7) | 0 | 409 (3) | 554 (3) | 49 (13) |
Furlong, Edward T. | US | United States Geological Survey Central Region, Denver | 7027 | 2008.67 | 11.96 (4) | 3 (7) | 0 | 408 (4) | 549 (4) | 51 (11) |
Kolpin, D. W. | US | United States Geological Survey, Reston | 7027 | 2011.75 | 11.96 (4) | 4 (4) | 1 | 430 (1) | 580 (1) | 62 (7) |
Zaugg, Steven D. | US | United States Geological Survey, Reston | 7027 | 2008 | 11.63 (6) | 3 (7) | 0 | 407 (5) | 536 (5) | 27 (20) |
Buxton, Herbert T. | US | United States Geological Survey | 6400 | 2002 | 6.89 (15) | 1 (13) | 0 | 386 (6) | 444 (6) | 8 (24) |
Thurman, Earl Michael | US | University of Colorado, Boulder | 6400 | 2002 | 6.89 (15) | 1 (13) | 0 | 386 (6) | 444 (7) | 69 (6) |
Westerhoff, Paul K. | US | Arizona State University, Tempe | 1825 | 2004 | 9.23 (11) | 2 (10) | 1 | 46 (17) | 62 (17) | 84 (2) |
Yoon, Yeomin | US | University of South Carolina, Columbia | 1825 | 2004 | 9.23 (11) | 2 (10) | 0 | 46 (17) | 62 (17) | 54 (9) |
Wert, Eric C. | US | Southern Neveda Water Authority, Las Vegas | 1140 | 2005 | 4.75 (20) | 1 (13) | 0 | 31 (20) | 36 (20) | 26 (21) |
Barceló, Damià À. | Spain | Catalan Institute of Water Research | 996 | 2014.5 | 18.61 (1) | 8 (1) | 0 | 61 (16) | 73 (16) | 130 (1) |
Kasprzyk-Hordern, Barbara | UK | University of Bath, Bath | 849 | 2013 | 7.8 (14) | 2 (10) | 1 | 86 (9) | 88 (10) | 52 (10) |
Dinsdale, Richard M. | UK | University of South Wales, Pontypridd | 816 | 2008 | 5.96 (17) | 1 (13) | 0 | 82 (10) | 84 (11) | 44 (14) |
Guwy, Alan J. | UK | University of South Wales, Pontypridd | 816 | 2008 | 5.96 (17) | 1 (13) | 0 | 82 (10) | 84 (11) | 42 (15) |
snyder s.a. | Singapore | Nanyang Environment & Water Research Institute | 757 | 2010.75 | 5.65 (19) | 4 (4) | 1 | 70 (15) | 89 (9) | 71 (4) |
Abdallah, Mohamed Abou Elwafa | UK | University of Birmingham | 726 | 2017 | 10.62 (8) | 1 (13) | 0 | 82 (10) | 82 (13) | 36 (17) |
Ebele, Anekwe Jennifer | UK | University of Birmingham | 726 | 2017 | 10.62 (8) | 1 (13) | 1 | 82 (10) | 82 (13) | 3 (25) |
Harrad, Stuart J. | UK | University of Birmingham | 726 | 2017 | 10.62 (8) | 1 (13) | 0 | 82 (10) | 82 (13) | 61 (8) |
Sedlak, David L. | UK | University of California, Berkeley | 685 | 2003 | 4.49 (21) | 1 (13) | 0 | 27 (25) | 28 (25) | 71 (4) |
Petrovic, Mira | Spain | Catalan Institute for Water Research | 648 | 2015.75 | 11.56 (7) | 4 (4) | 1 | 44 (19) | 53 (19) | 79 (3) |
Bendz, David | Sweden | Swedish Geotechnical Institute, Linkoping | 642 | 2005 | 2.67 (22) | 1 (13) | 1 | 31 (20) | 31 (21) | 13 (23) |
Ginn, Timothy R. | US | Washington State University, Pullman | 642 | 2005 | 2.67 (22) | 1 (13) | 0 | 31 (20) | 31 (21) | 36 (17) |
Loge, Frank J. | US | University of California, Davis | 642 | 2005 | 2.67 (22) | 1 (13) | 0 | 31 (20) | 31 (21) | 31 (19) |
Paxéus, Nicklas A. | Sweden | UKM, Gothenburg | 642 | 2005 | 2.67 (22) | 1 (13) | 0 | 31 (20) | 31 (21) | 19 (22) |
Li, Hui | US | Michigan State University | 633 | 2012.5 | 8.94 (13) | 8 (1) | 1 | 95 (8) | 142 (8) | 42 (15) |
Table 8
S.No. | Research Theme | Main Terms | Recent References |
1 | PPCPs Category | carbamazepine, diclofenac, triclosan, microplastics, antibiotics, fragrance materials, nanoparticles, Xenobiotics, Biocides, Sunscreen agents, UV filters, steroid hormones, Isoflavonoids, Artificial sweeteners (ASs), Antibiotic resistance genes, Phenols | (Astel et al., 2020; Atugoda et al., 2021; Barceló & Petrovic, 2007; Chen et al., 2021; Cleu, 2003; Gan et al., 2013; Gimeno et al., 2018; Guerra et al., 2014; Jennifer et al., 2017; Junaid et al., 2019; Lange et al., 2012; Mearns et al., 2020; Smital et al., 2004; Vecchiato et al., 2018; Y. Y. Yang et al., 2018) |
2 | Hazardous Effects | Water Pollution, Greywater footprint, Bioaccumulation, Biomagnification, eutrophication, Persistence, Phytoremediation, Plant Uptake, Endocrine Disruption, Toxicity, DNA damage; Neurotoxicity; Oxidative stress; Carcinogenesis; Mutagenesis; ARGs | (Cui & Schröder, 2016; Donovan et al., 2020; Grgi et al., 2021; Hogeboom et al., 2021; Jennifer et al., 2017; Mearns et al., 2019, 2020; Xu et al., 2017) |
3 | Occurrence of PPCPs | Drinking water, surface water, wastewater, sediment, sludge, Soil, Sewage, wastewater Treatment Plant, Tissue Residues, Biosolids, Seawater, Groundwater, Septic Systems, Wetlands, plants, reclaimed wastewater | (García-santiago et al., 2017; Henrique et al., 2021; Ivankovi et al., 2021; León et al., 2020; Llamas-dios et al., 2021; Mearns et al., 2020; Picó, Alvarez-ruiz, et al., 2020; Qin et al., 2015; Vecchiato et al., 2017; Y. Yang et al., 2017; Yee et al., 2021; Zhao et al., 2021) |
4 | PPCPs in Organisms | Birds, Fish, Invertebrates, microbes, mammals, planktons, turtles, algae, Rat | Mearns A.J. et al., 2020; Mearns A.J. et al., 2019; Peng F.-J. et al., 2018; Mearns A.J. et al., 2018; Mearns A.J. et al., 2016; Gregori M. et al., 2021 |
5 | Remediation | Ozonation, anaerobic membrane bioreactors, membrane separation, electrochemical oxidation Membrane operation, Electrochemical Oxidation, Advanced wastewater treatment, Tertiary treatment, MBBR, Activated carbon fibe, | Shahid M.K. et al., 2021; Grgić I. et al., 2021; Corominas L. et al., 2021; Tisler S. et al., 2021; Dang C. et al., 2020 |
6 | Fate and Transport Governing Processes | Adsorption, Biodegradation, Biotransformation, Degradation, Desorption, Diffusion, Distribution, Leaching, Photolysis, Transformation, pH, Hydrolysis, Environmental partitioning, Seasonal patterns, Dissolved organic matter | Höhne A. et al., 2021; Schübl M. et al., 2021; Navrátilová M. et al., 2020; Shu W. et al., 2021; Ivanković K. et al., 2021; Wagstaff A. et al., 2021; Llamas-Dios M.I. et al., 2021; Stefano P.H.P. et al., 2021; Zhang G. et al., 2017; Puckowski A. et al., 2021; Biošić M. et al.,2017; Cantwell M.G. 2016; Schimmelpfennig S. et al.,2016; Khan H.K. 2020; Zhang G. et al., 2017 |
7 | Assessment in the Environment | Spatial Distribution, Reactive Transport Modeling, Numerical modeling; QSAR, Adsorption model, Integrated Modleing, Monte-Carlo, wastewater quality modeling; Non-parametric RTD; HYDRUS-1D, Catchment modelling, Multimedia mass-balance models, Compartmental model, VANTOM; Benchmark Simulation Model No. 2 (BSM2), BALTSEM-POP, mass balance, Tandem field and laboratory characterization | Llamas-Dios M.I. et al., 2021; Barkow I.S. et al., 2021; Schübl M. et al., 2021; Cho C.-W. et al., 2019; Höhne A. et al., 2021; McCall A.-K. et al., 2021; Rustenburg A.S. et al., 2016; Lyu S. et al., 2019; Gimeno P. et al.,2017, Jagiello K. et al., 2015; Gao Y. et al.,2015; Wohler L.-2021; Snip L.J.P- 2016; Undeman E 2015; Schimmelpfennig S. et al., 2016; Zhi H. et al., 2017 |
Table 9
Top three author keywords in each cluster
CLUSTER | Keywords | Occurrence | APY | SY | EY |
1 | Bioaccumulation | 14 | 2015 | 2010 | 2020 |
| Biomarkers | 11 | 2015 | 2011 | 2020 |
| PHAs | 11 | 2015 | 2011 | 2020 |
2 | Adsorption | 33 | 2015 | 1998 | 2021 |
| Biodegradation | 8 | 2015 | 2008 | 2021 |
| Distribution Coefficient | 8 | 2014 | 2007 | 2018 |
3 | Risk Assessment | 30 | 2014 | 2002 | 2021 |
| Toxicity | 24 | 2015 | 2009 | 2021 |
| Wastewater | 24 | 2014 | 2002 | 2021 |
4 | Nanoparticle | 33 | 2014 | 2003 | 2021 |
| Drug delivery | 10 | 2011 | 2001 | 2021 |
| liposome | 5 | 2011 | 2001 | 2014 |
Table 10
The top 15 dominant articles within the three clusters of FTP research
CLUSTER 1 | CLUSTER 2 | CLUSTER 3 |
(Bouki et al., 2013; Fairbairn et al., 2016; Focazio et al., 2008; Igbinosa et al., 2013; Kasprzyk-Hordern et al., 2008; Kolpin et al., 2002; Kusner et al., 1996; W. C. Li, 2014; Metcalfe et al., 2010; Wilkinson et al., 2017; X. Wu et al., 2013, 2015; Y. Y. Yang et al., 2018; Yao et al., 2012; R. Zhang et al., 2013) | (Atugoda et al., 2021; Ebele et al., 2017; C. Li et al., 2020; Liu et al., 2019; Naidu et al., 2016; Pal et al., 2014; Picó, Alvarez-Ruiz, et al., 2020; Silva et al., 2011; Snyder et al., 2003; Sui et al., 2015; Verlicchi et al., 2012; Vieno & Sillanpää, 2014; Westerhoff et al., 2005; C. Wu et al., 2016; Yu et al., 2013) | (Bannan et al., 2016; Benet et al., 2011; Bergström et al., 2016; Camenisch et al., 1998; Dahle & Arai, 2015; Date et al., 2010; Dressman & Thelen, 2009; Evers et al., 2018; Lane, 2013; Neupane et al., 2020; Poonia et al., 2016; Savić et al., 2006; Skocaj et al., 2011; Vasir & Labhasetwar, 2007; Z. Zhang et al., 2012) |
4.2. Data mining- Co-occurrence analysis of the keywords
The text mining analysis revealed the studies on FTP studies focused on eight research themes, as shown in Table 7. The identified prepotent themes include PPCPs category, Hazardous effects, Occurrence of PPCPs, PPCPs in organisms, Remediation, Fate and Transport governing processes, and Assessment in the environment, which are presented and discussed in the section.
The first theme is based on the variety of PPCPs present in the environment. The PPCPs include an extraordinary diverse class of chemicals employed in human health, agricultural practices, veterinary medicines, and cosmetic care (Barceló & Petrovic, 2007). The PPCPs can be broadly classified into steroids, personal care products, and non-steroidal pharmaceuticals. The steroids comprise Estrogen, progestogens, Estrogen antagonistic, Androgens and glucocorticoids, Phytoestrogens, and veterinary growth hormones (Jennifer et al., 2017). The non-steroidal pharmaceuticals incorporate agents used in blood and blood-forming organs, Dermatological drugs, antibiotics, analgesics, anti-inflammatories, anti-depressants, allergy and asthma treating agents (Guerra et al., 2014; Jennifer et al., 2017). Personal Care Products include Disinfectants, Conservation agents, Fragrances, and UV Screens (Jennifer et al., 2017). The synthetic musk fragrances used in inexpensive fragrances, cleaning products, air fresheners, and various hygiene and household products are some PCPs present in the aquatic environment and have received growing attention in recent years (Smital et al., 2004). Artificial sweeteners have been consumed in large quantities in beverages, food, PPCPs, and animal feed (Gan et al., 2013).
These PPCPs are unique emerging contaminants that cause physiological disturbances in humans and toxicity to the ecosystem even if present in trace concentration (Jennifer et al., 2017). Theme 2 pertains to the hazardous effects caused due to these PPCPs. Several PPCPs such as fragrance materials (Vecchiato et al., 2018), artificial sweeteners (Lange et al., 2012), phenols, and their metabolites (Hammam et al., 2015) have the property of long-range transport and persistence. The phenols, a component in the pharmaceutical drug, reveal peroxidative capacity, being toxic to the nervous, digestive, and reproductive systems. Also, being hematotoxic and hepatotoxic causes carcinogenesis and mutagenesis in humans and other organisms (Hammam et al., 2015). Carbamazepine is known to disrupt the expression of the neurotransmitter system in freshwater species (Y. Y. Yang et al., 2018). Diclofenac, a well-known pharmaceutical responsible for the drastic reduction of the vulture population exceeded the environmental quality standard in the river (Gimeno et al., 2018). Veterinary antibiotics cause water pollution and are associated with human health and environmental risks (Wöhler et al., 2021). The increasing demand for UV filters/sunscreen used as PCPs has led to its abundance in various geographic locations leading to an ecotoxicological threat (Astel et al., 2020). The UV filters present in environmental mixtures are identified to be the prime driver of mixture toxicity since they protract antibiotic contamination of aquatic plus engineered environments (Grgi et al., 2021). Some UV filters get adsorbed on microplastics and cause neurotoxic effects, induce oxidative damage and stress as well as accelerate genotoxicity with exposure time (Donovan et al., 2020). The excessive use of antibiotics in the environment leads to high levels of antibiotic resistance genes (Xu et al., 2017). Owing to the hydrophilic nature of PPCPs, they tend to adsorb onto plastic surfaces, hence found to co-exist with microplastics (Atugoda et al., 2021). PPCPs tend to persist in the environment and bioaccumulate (Cui & Schröder, 2016), biomagnify, and causes endocrine disruption and eutrophication (Mearns et al., 2019, 2020).
The PPCPs enter the ecosystem via. industrial, urban transport, and agricultural activities including municipal wastewater treatment plants (WWTPs), animal feeding operations, hospitals, and pharmaceutical manufacturers (León et al., 2020; Zhao et al., 2021) which then find their route to the whole ecosystem, be it drinking water (Yee et al., 2021), surface water, wastewater, sediment, sludge, soil, sewage, wastewater treatment plants, tissue residues, biosolids, seawater, groundwater, septic systems, wetlands, plants, reclaimed wastewater and landfills (Ramakrishnan et al., 2015). The studies pertaining to the occurrence of these PPCPs in the environment are categorized in the occurrence of the PPCPs theme. These PPCPs contaminates surface water along with groundwater, but mostly present in higher concentration in surface water indicating the generality of wastewater discharges into the streams which then acts as the main pollutant source (Conkle et al., 2010; Llamas-dios et al., 2021; J. L. Wilkinson et al., 2017). The PPCPs from wastewater treatment plants find their way to surface water (Zhao et al., 2021), then have been identified in sediments (León et al., 2020), and then soils at various geographical locations (Henrique et al., 2021). Reclaimed wastewater for the purpose of irrigation also serves as a contamination route of soil (Qin et al., 2015) and groundwater and then bio transfer to various living organisms until they finally get to human receptors (García-santiago et al., 2017). The PPCPs have been detected in the hyporheic zone, where surface and groundwater meet (Anja, 2021). The PPCPs exhibiting long-range transport may travel and reach the seawater (Vecchiato et al., 2017). Septic tanks may also contribute to the contaminants reaching the surface water and shallow groundwater (Y. Yang et al., 2017).
Along with the environment, these PPCPs have been detected in living organisms including birds, fishes, microbes, mammals, planktons, turtles, algae and invertebrates (Peng et al., 2018), rats, and nonhuman primates (Mearns et al., 2016, 2018, 2019, 2020; Peng et al., 2018). This has been grouped under the theme- PPCPs in organisms.
The concern of harm caused to the ecosystem due to these contaminants, various treatment technologies are available, which is covered in the sixth theme. Using an advanced oxidation process, many of the PPCPs can be removed completely (Shahid et al., 2021). The anaerobic membrane bioreactors and the microalgae/fungal strains are also promising methods of PPCPs removal (Shahid et al., 2021). The combination of electrochemical oxidation and membrane separation turns out to be efficacious in removing PPCPs (Shahid et al., 2021). Advanced wastewater treatment technologies such as UV C radiation proves to be useful in degrading antibiotics and minimizing UV filter effects (Grgić et al., 2021). The ethylene and propylene oxide used in the PPCPs shows a high removal rate in Moving Bed Biofilm Reactor (MBBR) and conventional activated sludge wastewater treatment plants (Tisler et al., 2021). However, effective water treatment technologies for PPCPs are still lacking, and the conventional treatment system comprising the tertiary treatment still needs to be upgraded (Corominas et al., 2021; Dang et al., 2020). Artificial groundwater recharge and bank filtration are prime, effective, and low-cost techniques for the treatment of surface water and microbes, and organic and inorganic contaminants removal (Heberer et al., 2004).
The sixth theme, fate, and transport processes concentrate on the governing mechanisms of transport and the fate of PPCPs from their source to sink. The pH and dissolved organic matter affect the FTP in wastewater treatment plants (Y. L. Zhang et al., 2014). After being released from the source, PPCPs is exposed to various processes such as sorption to soil and sediments, abiotic photolysis and hydrolysis, and biotic degradation (Bio et al., 2017; Khan et al., 2020; Shu et al., 2021) and biotransformation (Navrátilová et al., 2020). Transport of pharmaceuticals occurs via water channels where aquatic colloids and sediments play a major role in acting as a sink for these pollutants (Khan et al., 2020). The PPCPs are ionizing chemicals that are dissociated, ion trapped, has electrical interactions with biota and organic matter in surface water (Trapp et al., 2010). The in-river degradation and deconjugation, the effect of acidity and polarity in the contaminant's partitioning to suspended particulate matter, photochemical degradation, biotransformation, and dilution are potential fate processes in multiple river systems (J. Wilkinson et al., 2017). The hydrophobic ECs have the highest concentration and frequency of detection which may be because hydrophobic compounds have a higher retardation factor compared to hydrophilic contaminants which are easily transported by the flow of water resulting in a widespread and homogeneous distribution (Llamas-dios et al., 2021). The hydrophilic contaminants have a higher concentration in the lower basin and tend to accumulate in the groundwater (Llamas-dios et al., 2021). The Dissolved Organic Matter (DOM) plays an important role in the photodegradation of pharmaceuticals in pure and natural water (Carmosini & Lee, 2009; G. Zhang et al., 2017), by forming contaminant-DOM complexes affecting the environmental transport of PPCPs (Hernandez-Ruiz et al., 2012). Season plays a major role in the concentration of PPCPs detected in the surface water (Cantwell et al., 2016). The ability of PPCPs to be retained in the surface layer of soil depends upon the concentration of PPCPs already present, soil characteristics, pH, solubility and pKa of PPCPs, and soil organic content (Hari et al., 2005; Henrique et al., 2021; Revitt et al., 2015; Wegst-Uhrich et al., 2014). The FTP of ionizable organic contaminants in the subsurface is influenced by soil pH, concentration, clay and organic matter type (ion exchange capacity), soil's strength as a base or acid (acid dissociation constant), the lipophilicity (n-octanol water partition co-efficient), soil aeration, temperature, moisture content, emission mode (continuous or episodic), the pattern of pharmaceutical use (Lees et al., 2016). At low pH, some PPCPs have high retention, which may be due to electrostatic cation exchange and interaction of π-π electron donor-acceptor at pH 3, and cation exchange at high pH 5 and 7. The PPCPs enter the soil via reclaimed wastewater and biosolids, their adsorption may be governed by colloids such as clay, which act as significant transport of PPCPs in the subsurface (Xing et al., 2016). The use of biosolids (reclaimed sewer sludge) as crop fertilizer is an additional parameter contributing to the widespread distribution of hydrophobic contaminants (Llamas-dios et al., 2021). The application of biosolids increases the retardation of PPCPs in soils and treated effluents increase the mobility of weakly acidic PPCPs in biosolids-amended soils due to an increase in the soil solution pH (Borgman & Chefetz, 2013). The sandy loam and loamy sand soils amended with biochar produced at a higher temperature (700°C) is an effective measure to reduce the mobility of some PPCPs (Vithanage et al., 2014). Volatilization and leaching are not significant processes of FTP in soil (W. Chen et al., 2013; Gros et al., 2019). The transport of PPCPs in soil and ultimately to groundwater is influenced by sorption which is dependent on pedotransfer functions including soil pH, hydrolytic acidity, exchangeable acidity, base cation saturation, and cation exchange capacity, clay content, organic carbon content (Kodešová et al., 2015). Prediction of potential groundwater contamination can be done using predicted sorption co-efficient along with pharmaceutical half-lives and other imputes including soil-hydraulic, climatic, and hydro-geological (Kodešová et al., 2015). Wetland employed for ECs treatment has adsorption as the major process governing FTP and long-term removal pathways of some pharmaceuticals (Conkle et al., 2010). The parameters of the processes can be determined either using batch tests, at the site, or using column experiments (Schübl et al., 2021).
Since effective treatment of PPCPs is still lacking, modeling the fate and transport of PPCPs can be an alternate method to control the PPCPs in the environment. The effective modeling techniques have been covered in the seventh theme. The FTP can be assessed numerically using a non-parametric residence time approach in combination with sorption and degradation models (Anja, 2021). The factors affecting the FTP can be determined using computational modeling by using Quantitative Structure-Property Relationship techniques and multimedia mass-balance models (Jagiello et al., 2015). To investigate the spatial and temporal behavior of PPCPs, many modeling software has been adopted, including MODFLOW and PHT3D, having ORTI3D as a user interface in the surface water (Barkow et al., 2021). Also, GREAT-ER (Geography-referenced Regional Exposure Assessment Tool for European Rivers) model and PhATE (Pharmaceutical Assessment and Transport Evaluation) model (spatial and temporal variability) are employed to predict the in-stream concentration of pharmaceuticals (Capdevielle et al., 2008). PhATE uses a mass balance approach for predicting the screening-level concentration of pharmaceuticals and evaluates the suitability of existing fate information of pharmaceuticals (Anderson et al., 2004). For toxicity, risk assessment, property prediction of PPCPs, and fate modeling, QSAR (Quantitative activity relationship) is utilized by the toxicological and chemical regulatory agencies for the decision-making framework in risks (Roy et al., 2016). The ecotoxicological risks due to the veterinary pharmaceuticals in soils are estimated to be less in terrestrial organisms, but induce negative effects in crops (Gros et al., 2019). The routine application of the modeling methodology in the environmental assessment of risk would enable the prediction of the physicochemical properties and long-range transport, thus the fate of PPCPs (Jagiello et al., 2015). The FTP of PPCPs from livestock to soil and then surface water can be administered using the Integrated modeling approach (IMA) where VANTOM, Veterinary Antibiotics transport model fate, and transport which is fed into PESERA, Pan-European Soil Erosion Risk Assessment model (Hogeboom et al., 2021). Models that simulate multimedia such as BALTSEM-POP simulate hydrodynamic conditions, biogeochemical cycling, contaminant F&T, water exchange, and interaction between climate forcing (Undeman et al., 2015). Tandem field along with laboratory characterization will better capture the transport and risk assessment of PPCPs (Zhi et al., 2021).
4.2.1. Author Keywords of F&T of PPCPs
The co-occurring author keywords in FTP Scopus databases from 1996-to 2021 have been analyzed in VOSviewer. The analysis of author keywords serves as an indication of research trends and data visualization purposes. Keywords occurring a minimum of three times in the articles are selected and analyzed. Subjected to data polishing, some of the general keywords such as “study”, “PPCPs”. “review”, “article”, “applications” etc. were removed from the analysis, and keywords with similar meanings, singular and plural words were merged such as WWTPs, wastewater treatment plant or wastewater treatment plants. Figure 11 represents the co-occurrence network displaying the importance (weight) and connection of the imported author keywords. The analysis classified the keywords into four major clusters, colored in red, green, blue, and yellow. Cluster 1, as indicated in red is comprised of keywords such as “degradation”, “biodegradation” “biotransformation”, “photolysis”, “leaching”, “phytoremediation”, focusing basically on the processes governing FTP.The other keywords in Cluster 1 are "drinking water", "groundwater", "sediment", "septic system", "soil", "surface water", and "wastewater" referring to the occurrence of PPCPs. Cluster 2, colored in green comprises keywords such as "birds", "fish", "invertebrates", "mammals", and "planktons", implying the presence of PPCPs in organisms. Also, some other keywords in cluster 2 are "bioaccumulation", "biomarkers", "biomagnification", "ecological risk assessment", and "endocrine disrupters" hinting at the detrimental effects due to the PPCPs. Cluster 3 in blue, consists of keywords such as “carbamazepine”, “diclofenac”, “fragrance materials”, “microplastics”, “triclosan” etc. referring to the types of PPCPs detected and studied. Cluster 4 colored in yellow consists of “water pollution”, “toxicity”, “wastewater treatment”, “modeling”, “risk assessment” etc indicating the remedial measures for the PPCPs.
4.2.2. Index Keywords of F&T of PPCPs study
Index keywords are used to define the text of articles, the text being selected from pre-determined information called a controlled vocabulary used in bibliographic repositories. Index keywords hold up the essence of the theme of an article. The section explains the analyses of the co-occurrence of index keywords co-occurrences in FTP Scopus databases from 1996 to 2020. The index keywords on FTP are chosen based on thirty co-occurrences, and 119 keywords meet the threshold. The density visualization of index-keywords co-occurrences is shown in Fig. 12. The tree plot of the top 30 index keywords used in FTP documents is shown in Fig. 13. Firstly, the FTP documents used the index keyword “drug” was used 266 times (7%), “environmental monitoring”, “water pollutant”, “pharmaceutical preparations”, “water pollutants”, “non human”, “risk assessment” used 198 (5%), 180 (5%), 159 (4%), 158 (4%), 157 (4%) and 154 (4%) respectively.
4.2.3. Sankey Diagrams: Three Field Plots on FTP
Sankey diagrams are used to depict material or energy movement in various protocols and networks. They employ quantitative descriptions to describe connections, flows, and transitions. Sankey diagrams are directed and weighted graphs with weighted features to keep the flow going. The addition of influx weights at each node equals the outgoing ramifications. Also, Sankey diagrams are employed to visualize systems, and conversations may be investigated. The Biblioshiny three-field plot is used to visually determine the relationships among countries, keywords, sources, affiliations, cited authors, leading authors, and author keywords. The larger the rectangle, the more the interaction between multiple components. Figure 14 depicts the diagram for research in FTP literature on the relationship between keywords (left), author (middle), and source (right).
4.3. Content Analysis- Bibliographic Coupling
The bibliographic coupling of the articles was conducted to perform a qualitative content analysis of the articles. This resulted in articles divided into three main clusters of FTP research. The fifteen most significant articles within each cluster including, the occurrence of PPCPs in the environment, the processes governing the fate and transport of PPCPs, and the physio-chemical properties of PPCPs are scrutinized to perform the qualitative content analysis in the FTP research.
The fifteen most dominant articles in the last 25 years, making up this cluster on “Occurrence and distribution of PPCPs in the environment” are relatively recent, comprising one article in 2002, two articles in 2008, one in 2010, four in 2013, one each in 2014 and 2015, two in 2016, and one each in 2017 and 2018. Science of the Total Environment with four articles has the maximum representation in this cluster, followed by three in Environmental Pollution and one each in Journal of Hazardous Materials, Ecotoxicology and Environmental Safety, Environmental Science and Technology, Chemical Engineering Journal, Water Research, Environmental Toxicology and Chemistry, The Scientific World Journal, Environmental Reviews and Environment International. With variable affiliations and appearances from different countries, various authors are also noticed, with Zang D.Q., Yang Y-Y., Wu X., Tran N.H., Heberer T., Fairbairn D.J. being the dominant authors appearing twice in the cluster. The articles in the cluster are focused on the occurrence and distribution of PPCPs in the surface waters (Bendz et al., 2005; Fairbairn et al., 2016; Kasprzyk-Hordern et al., 2008; Kolpin et al., 2002; Metcalfe et al., 2010; J. Wilkinson et al., 2017b; R. Zhang et al., 2013), drinking water (Focazio et al., 2008), groundwater (Y. Y. Yang et al., 2018), in the soils (Igbinosa et al., 2013; W. C. Li, 2014; Singh et al., 2018), in sediments (Fairbairn et al., 2015), in WWTPs (Bouki et al., 2013; Tran et al., 2013), in wetlands (Ross et al., 2004) and biosolids from WWTPs which gets into agricultural soils (Carter & Chefetz, 2019) and then crops (Wu et al., 2013, 2015; Renault et al., 2012). The reclaimed water used for agricultural purposes is loaded with untreated PPCPs which seeps into groundwater contaminating the latter (Qin et al., 2015).
Cluster 2 mainly focuses on the documents based on the "processes governing fate and transport" study, and the "environmental risk assessment" due to these PPCPs. The first group is inclined toward the fate and transport study of PPCPs in the environment (Atugoda et al., 2021; Ebele et al., 2017; Liu et al., 2019; Vieno & Sillanpää, 2014; Westerhoff et al., 2005), and the prime process of FTP study i.e., sorption (Wu et al., 2016) and degradation (Yu et al., 2013). Abiotic and biotic processes govern the FTP in the environment (Petrie et al., 2018). Photolysis is the main fate process in the surface water, biodegradation in the wastewater and soil (Durán-álvarez et al., 2015), and bio-degradation and/or chemical transformation in the WWTPs (Subedi & Kannan, 2015). The WWTPs are one of the major disposal pathways for PPCPs (Richardson & Ternes, 2011). The PPCPs present in the liquid phase in WWTPs can be effectively removed by sorption to suspended particulate matter or sludge, transformation, or biodegradation on increasing the sludge retention time (Jeppsson & Gernaey, 2014; Subedi & Kannan, 2015). In the aquatic environment, sorption and degradation (Biodegradation and photodegradation) are prime processes determining the contaminant fate, where sediments and aquatic colloids act as major sinks (Khan et al., 2020). The presence of nitrates, carbonates, and dissolved organic matter accelerated the photolysis of some PPCPs in freshwater (Petrie et al., 2018). Dissolved oxygen (DO) also plays a major role in the photo transformation of PPCPs (G. Zhang et al., 2017). The FTP in the water-sediment matrix is governed by the contaminant's physio-chemical properties (vapor pressure, solubility, and lipophilicity), environmental situations (temperature, pH, irradiation, and redox situation), and the existing microbial community (C. Wu et al., 2010; Luo et al., 2014). The volatile PPCPs exhibit both long-range and short-range (local) contamination, thus causing a threat to the polar regions as well (Mandaric et al., 2019). Atmospheric deposition and photo transformation are the main processes governing FTP in the air (McLachlan et al., 2010). The soil properties and aerobic conditions govern the fate of PPCPs (Koba et al., 2016), and adsorption, degradation, and migration (Sui et al., 2015) serve as the main governing parameters in the subsurface. The persistence of PPCPs and their metabolites in the soil leads to the contamination of groundwater causing adverse effects on humans as it is a major source of drinking water supply in many countries (Koba et al., 2016; Sui et al., 2015). The sources of PPCPs contamination in the groundwater include contaminated surface water, wastewater, septic tanks, landfills, sewer leakage, and livestock breeding (Sui et al., 2015). The second group of Cluster 2 is dominated by risk assessment studies due to these PPCPs (Picó et al., 2020; Verlicchi et al., 2012). The recent trend for managing contaminants having different physicochemical properties is to follow a risk-based approach. A decision analysis framework that evaluates different remediation options by combining health risks (individual, population, residual) and different costs to deliver the most cost-effective process serves as an alternate remedial measure for the contaminants (Naidu et al., 2016).
The articles related to physicochemical properties of pharmaceuticals and their carrier post-consumption in humans/animals are dominant in the third cluster. Oral intake of pharmaceuticals for humans is a favorable route to the target site of action, however, water-insoluble drugs are incapable of permeating the gastrointestinal (GI) tract which requires a carrier/ transporter/ drug delivery vehicle to deliver them effectively without being degraded using this route (Poonia et al., 2016). Hence several drug delivery vehicles are researched to be of prime importance in drug metabolism, distribution, adsorption, and excretion (Bergström et al., 2016; Evers et al., 2018). The environmental fate of these carriers of pharmaceuticals e.g. CeO2 nanoparticles is dependent on their physicochemical properties (Dahle & Arai, 2015). Additionally, various properties of PPCPs such as log solubility in water (Bannan et al., 2016), Log P, polar surface area, hydrogen bond donors, and several hydrogen bond acceptors (Benet et al., 2011) have been discussed. The metabolism of the drugs owing to post-consumption by humans and their physiological fate are also discussed (Date et al., 2010), their diffusivity through the biological membrane (Camenisch et al., 1998; Neupane et al., 2020), and the human gut wall (Dressman & Thelen, 2009). The distribution coefficient between the immiscible aqueous and non-aqueous phases measures the degree to which the small molecules prefer one phase over another at a particular pH (Ortwine et al., 2016). The most lipophilic molecules are least soluble in water (Box & Comer, 2008). Water solubility is the governing factor of drug access to biological membranes (Faller & Ertl, 2007). These pharmaceuticals enter the environment via the excretion of humans/animals and pose several risks to the ecosystem. Ionization, intrinsic solubility (log S), and lipophilicity (log P) have a significant impact on the transport properties of pharmaceuticals (Box & Comer, 2008). Knowledge about the fate of pharmaceuticals is limited to some compounds, very few lab experiments under controlled conditions mimicking the natural environment have been conducted and only a few data sets are available focusing on field studies (Li et al., 2016). Thus, sufficient data gaps exist regarding pathways of degradation and transformation processes which makes it difficult to understand the fate of these compounds in a natural complex systems (Khan et al., 2020)