PMID- 37059038 OWN - NLM STAT- MEDLINE DCOM- 20230428 LR - 20230428 IS - 1879-2456 (Electronic) IS - 0956-053X (Linking) VI - 164 DP - 2023 Jun 1 TI - Insights into the degradation of high-density polyethylene microplastics using microbial strains: Effect of process parameters, degradation kinetics and modeling. PG - 143-153 LID - S0956-053X(23)00278-7 [pii] LID - 10.1016/j.wasman.2023.04.002 [doi] AB - The extensive distribution of microplastics and their abundance around the world has raised a global concern because of the lack of proper disposal channels as well as poor knowledge of their implications on human health. Sustainable remediation techniques are required owing to the absence of proper disposal methods. The present study explores the deterioration process of high-density polyethylene (HDPE) microplastics using various microbes along with the kinetics and modeling of the process using multiple non-linear regression models. Ten different microbial strains were used for the degradation of microplastics for a period of 30 days. Effect of process parameters on the degradation process was studied with the selected five microbial strains that presented the best degradation results. The reproducibility and efficacy of the process were tested for an extended period of 90 days. Fourier-transform infrared spectroscopy (FTIR) and field emission-scanning electron microscopy (FE-SEM) were used for the analysis of microplastics. Polymer reduction and half-life were evaluated. Pseudomonas putida achieved the maximum degradation efficiency of 12.07% followed by Rhodococcus ruber (11.36%), Pseudomonas stutzeri (8.28%), Bacillus cereus (8.26%), and Brevibacillus borstelensis (8.02%) after 90 days. Out of 14 models tested, 5 were found capable of modeling the process kinetics and based on simplicity and statistical data, Modified Michaelis-Menten model (F8; R(2) = 0.97) was selected as superior to others. This study successfully establishes the potential of bioremediation of microplastics as the viable process. CI - Copyright (c) 2023 Elsevier Ltd. All rights reserved. FAU - Hooda, Sanjeevani AU - Hooda S AD - Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India. FAU - Annu AU - Annu AD - Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India. FAU - Mondal, Prasenjit AU - Mondal P AD - Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India. Electronic address: prasenjit.mondal@ch.iitr.ac.in. LA - eng PT - Journal Article DEP - 20230412 PL - United States TA - Waste Manag JT - Waste management (New York, N.Y.) JID - 9884362 RN - 0 (Microplastics) RN - 9002-88-4 (Polyethylene) RN - 0 (Plastics) RN - 0 (Water Pollutants, Chemical) SB - IM MH - Humans MH - *Microplastics MH - Polyethylene/chemistry MH - Plastics MH - Reproducibility of Results MH - Kinetics MH - *Water Pollutants, Chemical/analysis MH - Spectroscopy, Fourier Transform Infrared OTO - NOTNLM OT - Biodegradation process OT - Kinetic study OT - Microbial remediation OT - Microplastics OT - Non-linear regression models COIS- Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. EDAT- 2023/04/15 06:00 MHDA- 2023/04/28 06:41 CRDT- 2023/04/14 18:10 PHST- 2022/11/30 00:00 [received] PHST- 2023/03/27 00:00 [revised] PHST- 2023/04/02 00:00 [accepted] PHST- 2023/04/28 06:41 [medline] PHST- 2023/04/15 06:00 [pubmed] PHST- 2023/04/14 18:10 [entrez] AID - S0956-053X(23)00278-7 [pii] AID - 10.1016/j.wasman.2023.04.002 [doi] PST - ppublish SO - Waste Manag. 2023 Jun 1;164:143-153. doi: 10.1016/j.wasman.2023.04.002. Epub 2023 Apr 12.