Affiliations 

  • 1 Biofuels Institute, School of Environment and safety Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China. parveen@ujs.edu.cn
  • 2 Malaysian Institute of Chemical and Bioengineering Technology (MICET), Universiti Kuala Lumpur, Alor Gajah 78000, Melaka, Malaysia. abbas@unikl.edu.my
  • 3 Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology, IIT Delhi, New Delhi 110016, India. mdshahadat93@gmail.com
  • 4 Department of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, Kelantan 17600, Malaysia. ashanty66@gmail.com
  • 5 School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang 212013, China. hanyel_mesery@yahoo.com
  • 6 Biofuels Institute, School of Environment and safety Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China. hcwang@ujs.edu.cn
  • 7 Biofuels Institute, School of Environment and safety Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China. weilanshao@foxmail.com
PMID: 31200470 DOI: 10.3390/ijerph16122092

Abstract

The present study reports mathematical modelling of palm oil mill effluent and palm-pressed fiber mixtures (0% to 100%) during vermicomposting process. The effects of different mixtures with respect to pH, C:N ratio and earthworms have been optimized using the modelling parameters. The results of analysis of variance have established effect of different mixtures of palm oil mill effluent plus palm press fiber and time, under selected physicochemical responses (pH, C:N ratio and earthworm numbers). Among all mixtures, 60% mixture was achieved optimal growth at pH 7.1 using 16.29 C:N ratio in 15 days of vermicomposting. The relationship between responses, time and different palm oil mill waste mixtures have been summarized in terms of regression models. The obtained results of mathematical modeling suggest that these findings have potential to serve a platform for further studies in terms of kinetic behavior and degradation of the biowastes via vermicomposting.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.