Literature DB >> 15380663

Fungal biocatalysts in the biofiltration of VOC-polluted air.

Christian Kennes1, María C Veiga.   

Abstract

Gas-phase biofilters used for the treatment of waste gases were originally packed with compost or other natural filter beds containing indigenous microorganisms. Over the past decade much effort has been made to develop new carrier materials, more performant biocatalysts and new types of bioreactors. Elimination capacities reached nowadays are 5 to 10 times higher than those originally reported with conventional compost biofilters. With the recently developed inert filter beds, inoculation is a prerequisite for successful start-up and operation. Either non-defined mixed cultures or pure bacterial cultures have originally been used. The search for efficient fungal biocatalysts started only a few years ago, mainly for the biofiltration of waste gases containing hydrophobic compounds, such as styrene, alpha-pinene, benzene, or alkylbenzenes. In this review, recently isolated new fungal strains able to degrade alkylbenzenes and other related volatile organic pollutants are described, as well as their major characteristics and their use as biocatalysts in gas-phase biofilters for air pollution control. In biofiltration, the most extensively studied organism belongs to the genus Exophiala, although strains of Scedosporium, Paecilomyces, Cladosporium, Cladophialophora, and white-rot fungi are all potential candidates for use in biofilters. Encouraging results were obtained in most of the cases in which some of those organisms were present in gas-phase biofilters. They allow reaching high elimination capacities and are resistant to low pH values and to reduce moisture content.

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Year:  2004        PMID: 15380663     DOI: 10.1016/j.jbiotec.2004.04.037

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  10 in total

Review 1.  Biological technologies for the removal of sulfur containing compounds from waste streams: bioreactors and microbial characteristics.

Authors:  Lin Li; Jingying Zhang; Jian Lin; Junxin Liu
Journal:  World J Microbiol Biotechnol       Date:  2015-08-07       Impact factor: 3.312

Review 2.  Untapped potential: exploiting fungi in bioremediation of hazardous chemicals.

Authors:  Hauke Harms; Dietmar Schlosser; Lukas Y Wick
Journal:  Nat Rev Microbiol       Date:  2011-02-07       Impact factor: 60.633

3.  Biofiltration of Chloroform in a Trickle Bed Air Biofilter Under Acidic Conditions.

Authors:  Keerthisaranya Palanisamy; Bineyam Mezgebe; George A Sorial; Endalkachew Sahle-Demessie
Journal:  Water Air Soil Pollut       Date:  2016-11-30       Impact factor: 2.520

4.  Biodegradation of toluene by the new fungal isolates Paecilomyces variotii and Exophiala oligosperma.

Authors:  Elena Estévez; María C Veiga; Christian Kennes
Journal:  J Ind Microbiol Biotechnol       Date:  2005-02-09       Impact factor: 3.346

5.  Isolation and identification of black yeasts by enrichment on atmospheres of monoaromatic hydrocarbons.

Authors:  Jingjun Zhao; Jingsi Zeng; G Sybren de Hoog; Derlene Attili-Angelis; Francesc X Prenafeta-Boldú
Journal:  Microb Ecol       Date:  2010-03-24       Impact factor: 4.552

6.  Effectiveness of biosurfactant for the removal of trihalomethanes by biotrickling filter.

Authors:  Bineyam Mezgebe; George Sorial; David Wendell; E Sahle-Demessie
Journal:  Eng Rep       Date:  2019-08-16

Review 7.  Phylloremediation of Air Pollutants: Exploiting the Potential of Plant Leaves and Leaf-Associated Microbes.

Authors:  Xiangying Wei; Shiheng Lyu; Ying Yu; Zonghua Wang; Hong Liu; Dongming Pan; Jianjun Chen
Journal:  Front Plant Sci       Date:  2017-07-28       Impact factor: 5.753

8.  In vivo and in vitro efficient textile wastewater remediation by Aspergillus niger biosorbent.

Authors:  Shuhui Li; Jianying Huang; Jiajun Mao; Liyuan Zhang; Chenglin He; Guoqiang Chen; Ivan P Parkin; Yuekun Lai
Journal:  Nanoscale Adv       Date:  2018-11-22

9.  Back propagation neural network model for predicting the performance of immobilized cell biofilters handling gas-phase hydrogen sulphide and ammonia.

Authors:  Eldon R Rene; M Estefanía López; Jung Hoon Kim; Hung Suck Park
Journal:  Biomed Res Int       Date:  2013-11-07       Impact factor: 3.411

10.  Kriging-Based Land-Use Regression Models That Use Machine Learning Algorithms to Estimate the Monthly BTEX Concentration.

Authors:  Chin-Yu Hsu; Yu-Ting Zeng; Yu-Cheng Chen; Mu-Jean Chen; Shih-Chun Candice Lung; Chih-Da Wu
Journal:  Int J Environ Res Public Health       Date:  2020-09-23       Impact factor: 3.390

  10 in total

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