Full-text resources of PSJD and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


Preferences help
enabled [disable] Abstract
Number of results
2021 | 38 | 37-48

Article title

Application of Index Models for Assessing Freshwater Microplastics Pollution

Content

Title variants

Languages of publication

EN

Abstracts

EN
Due to the differences in reporting units and methodology on microplastics (MP) studies, there has been some difficulty in comparing results across studies. In this study, we presented index models that can be address this issue. Index models for pollution and health risks assessment was applied to MP data obtained from rivers in Nwangele L.G.A. Models such as microplastics contamination factor (MPCF), microplastics pollution load index (MPPLI), Microplastics polymer risk indices (Hi) and pollution risk index (MPR) for pollution and contamination assessment. Health risk models such estimated daily intake (EDI) and microplastic carcinogenic risks (MPCR) through oral and dermal pathway were also presented and applied. Results showed that there is no direct correlation of MP abundance with MPR. However, Hi correlated but with MPR. Increased MPs pollution risks and levels were extensively subject to the presence of harmful MPs polymers, just as the high MPs pollution loads index (MPPLI). The index models enabled easy comparison of MP pollution of the different rivers and provided concise information on the status of MPs in the rivers.

Contributors

  • Group Research in Analytical Chemistry, Environment and Climate change (GRACE&CC), Department of Chemistry, Faculty of Science, Imo State University, Owerri, Nigeria
  • Group Research in Analytical Chemistry, Environment and Climate change (GRACE&CC), Department of Chemistry, Faculty of Science, Imo State University, Owerri, Nigeria
  • Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali, Bangladesh

References

  • [1] Araújo PHH, Sayer C, Poco JGR, Giudici R. Techniques for reducing residual monomer content in polymers: a review. Polym Eng Sci 2002; 42:1442–68
  • [2] Cole, M., Lindeque, P., Fileman, E., Halsband, C., Galloway, T.S., (2015). The impact of polystyrene microplastics on feeding, function and fecundity in the marine copepod Calanus helgolandicus. Environ. Sci. Technol. 49, 1130-1137
  • [3] Enyoh C.E., A.W. Verla, E.N. Verla, S.C. Ihenetu SC Macrodebris and Microplastics Pollution in Nigeria: First report on Abundance, Distribution and Composition. Environmental Analysis, Health and Toxicology, 34(4), 1-15. https://doi.org/10.5620/eaht.e2019012
  • [4] Enyoh, C. E., Shafea, L., Verla, A. W., Verla, E. N., Qingyue, W., Chowdhury, T., & Paredes, M. (2020). Microplastics Exposure Routes and Toxicity Studies to Ecosystems: An Overview. Environmental Analysis Health and Toxicology 2020; 35(1): e2020004. https://doi.org/10.5620/eaht.e2020004
  • [5] Enyoh, C.E., Isiuku, B.O. Determination and Human Health Risk Assessment of Heavy Metals in Floodbasin Soils in Owerri, Southeastern Nigeria. Chemistry Africa 3, 1059–1071 (2020). https://doi.org/10.1007/s42250-020-00171-2
  • [6] Flament, F., Francois, G., Qiu, H., Ye, C., Hanaya, T., Batisse, D., Cointereau-Chardon, S., Seixas, M. D., Dal Belo, S. E., & Bazin, R. (2015). Facial skin pores: a multiethnic study. Clinical, Cosmetic and Investigational Dermatology, 8, 85–93. https://doi.org/10.2147/CCID.S74401
  • [7] Forstner U.W. and Calmano W. (1993). Sediment quality objectives and criteria development in Germany. Water Science Technology, vol. 28, pp. 307-316
  • [8] Hakanson L. (1980). An ecological risk index for aquatic pollution control, a sedimentological approach. Water Research, vol. 14, pp. 975-1001
  • [9] Hall, N.M., Berry, K.L.E., Rintoul, L., Hoogenboom, M.O., (2015). Microplastic ingestion by scleractinian corals. Mar. Biol. 162, 725-732
  • [10] Ibe, F.C., Enyoh, C.E., Opara, A.I. et al. Evaluation of pollution status of groundwater resources of parts of Owerri metropolis and environs, Southeastern Nigeria, using health risk and contamination models. Int J Energ Water Res 4, 357–374 (2020). https://doi.org/10.1007/s42108-020-00071-8
  • [11] Jo HY, Yu DS, Oh CH. Quantitative research on skin pore widening using a stereoimage optical topometer and Sebutape. Skin Res Technol. 2007; 13(2): 162–168
  • [12] Kabir E.A. H. M., Masahiko S., Tsuyoshi I., Koichi Y., Ariyo K., Takaya H. (2021). Assessing small-scale freshwater microplastics pollution, land-use, source-to-sink conduits, and pollution risks: Perspectives from Japanese rivers polluted with microplastics. Science of the Total Environment, 768: 144655
  • [13] Kakudo N, Kushida S, Tanaka N, Minakata T, Suzuki K, Kusumoto K. A novel method to measure conspicuous facial pores using computer analysis of digital-camera-captured images: the effect of glycolic acid chemical peeling. Skin Res Technol. 2011; 17(4): 427–433
  • [14] Lithner, D., Larsson, A., Dave, G., 2011. Environmental and health hazard ranking and assessment of plastic polymers based on chemical composition. Sci. Total Environ. 409 (18), 3309–3324. https://doi.org/10.1016/j.scitotenv.2011.04.038
  • [15] Matlack AS. Introduction to green chemistry. New York: Marcel Decker Inc; 2001.
  • [16] Nor H.M.N., Merel K., Noël J.D., Koelmans A.A. (2021). Lifetime Accumulation of Microplastic in Children and Adults. Environ. Sci. Technol. 2021, 55, 8, 5084–5096 https://doi.org/10.1021/acs.est.0c07384
  • [17] Plewig G, Kligman AM. Acne and Rosacea. 3rd edition. Berlin, Heidelberg: Springer; 2000.
  • [18] Saedi N, Petrell K, Arndt K, Dover J. Evaluating facial pores and skin texture after low-energy nonablative fractional 1440-nm laser treatments. J Am Acad Dermatol. 2013; 68(1): 113–118
  • [19] Salamone, Joseph C., ed. (1996). Polymeric materials encyclopedia. 8. CRC Press. pp. 6036–6037
  • [20] Thomilson D.L., J.G. Wilson, C.R. Harris, D.W. Jeffrey. 1980. Problem in the assessment of heavy metals levels in estuaries and the formation of a pollution index. Helgoland Marine Research, vol. 33, pp. 566-575
  • [21] USEPA (1992). Health Assessment Summary Tables. Annual FY-92. Prepared by the Office of Health and Environmental Assessment, Environmental Criteria and Assessment Office, Cincinnati, OH, for the Office of Emergency and Remedial Response, Washington, DC.
  • [22] USEPA (1997). Toxics Release Inventory Relative Risk-Based Environmental Indicators: Interim Toxicity Weighting Summary Document. Pp. 1-252. https://www.epa.gov/sites/production/files/2014-03/documents/toxwght97.pdf
  • [23] USEPA, Recommended Use of BW3/4 as the Default Method in Derivation of the Oral Reference Dose (2015). Available online: http://www.epa.gov/raf/publications/pdfs/recommendeduse-of-bw34.pdf.
  • [24] Verla A.W., Enyoh C.E., Verla E.N., Nwarnorh K.O. (2019). Microplastic-Toxic Chemical Interaction: a Review Study on Quantified Levels, Mechanism and Implications. Springer Nature Applied Sciences, 1: 1400. https://doi.org/10.1007/s42452-019-1352-0
  • [25] Valderrama, C., Gamisans, X., de las Heras, X., Farran, A., Cortina, J.L., 2008. Sorption kinetics of polycyclic aromatic hydrocarbons removal using granular activated carbon: intraparticle diffusion coefficients. J. Hazard Mater. 157, 386e396. https://doi.org/10.1016/j.jhazmat.2007.12.119
  • [26] Wang Q, Enyoh CE, Chowdhury T, Chowdhury MAH (2020). Analytical Techniques, Occurrence and Health Effects of Micro and Nano Plastics Deposited in Street Dust International Journal of Environmental Analytical Chemistry. https://doi.org/10.1080/03067319.2020.1811262
  • [27] Wilke, C.R., Chang, P., (1955). Correlation of diffusion coefficients in dilute solutions. AIChE J. 1, 264e270

Document Type

article

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.psjd-35046a92-54c7-41c3-a40e-98964b3b69d0
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.