Literature DB >> 21167640

Recycling of solid waste rich in organic nitrogen from leather industry: mineral nutrition of rice plants.

Francisco G E Nogueira1, Isabela A Castro, Ana R R Bastos, Guilherme A Souza, Janice G de Carvalho, Luiz C A Oliveira.   

Abstract

The leather industry produces a large quantity of solid waste (wet blue leather), which contains a high amount of chromium. After its removal from wet blue leather, a solid collagenic material is recovered, containing high nitrogen levels, which can be used as a nitrogen source in agriculture. In order to take more advantage of the collagen, it was enriched with mineral P and K in order to produce NPK formulations. The objective was also to evaluate the efficiency of such formulations as a nutrient supply for rice plants in an Oxisoil, under greenhouse conditions. The application of PK enriched-collagen formulations resulted in N contents in the vegetative parts and grains of rice plants which were equivalent or superior to those obtained with urea and commercial NPK formulations.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21167640     DOI: 10.1016/j.jhazmat.2010.11.111

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  3 in total

1.  Study on the anhydrous condensation of collagen polypeptide and tricyanogen chloride.

Authors:  Donglei Liu; Jiaxing Zhang; Chuanrui You; Hui Chen; Zhihua Shan
Journal:  RSC Adv       Date:  2022-07-14       Impact factor: 4.036

Review 2.  Review of Soil Quality Improvement Using Biopolymers from Leather Waste.

Authors:  Daniela Simina Stefan; Magdalena Bosomoiu; Annette Madelene Dancila; Mircea Stefan
Journal:  Polymers (Basel)       Date:  2022-05-09       Impact factor: 4.967

3.  Utilization of Waste Leather Powders for Highly Effective Removal of Dyes from Water.

Authors:  Liangjun Xia; Chen Li; Sijie Zhou; Zhuan Fu; Yun Wang; Pei Lyu; Jiajing Zhang; Xin Liu; Chunhua Zhang; Weilin Xu
Journal:  Polymers (Basel)       Date:  2019-11-01       Impact factor: 4.329

  3 in total

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