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A growth inhibitory model with SO(x) influenced effective growth rate for estimation of algal biomass concentration under flue gas atmosphere.
Ronda, Srinivasa Reddy; Kethineni, Chandrika; Parupudi, Lakshmi Chandrika Pavani; Thunuguntla, Venkata Bala Sai Chaitanya; Vemula, Sandeep; Settaluri, Vijaya Saradhi; Allu, Prasada Rao; Grande, Suresh Kumar; Sharma, Suraj; Kandala, Chari Venkatakrishna.
Afiliação
  • Ronda SR; Department of Biotechnology, KL University, Vaddeswaram, Guntur District, AP, India. Electronic address: rsr@kluniversity.in.
  • Kethineni C; Department of Biotechnology, KL University, Vaddeswaram, Guntur District, AP, India.
  • Parupudi LC; Department of Biotechnology, KL University, Vaddeswaram, Guntur District, AP, India.
  • Thunuguntla VB; Department of Biotechnology, KL University, Vaddeswaram, Guntur District, AP, India.
  • Vemula S; Department of Biotechnology, KL University, Vaddeswaram, Guntur District, AP, India.
  • Settaluri VS; Department of Biotechnology, KL University, Vaddeswaram, Guntur District, AP, India.
  • Allu PR; Department of Biotechnology, KL University, Vaddeswaram, Guntur District, AP, India.
  • Grande SK; Department of Mathematics, KL University, Vaddeswaram, Guntur District, AP, India.
  • Sharma S; Department of Textiles, Merchandising and Interiors, University of Georgia, Athens, USA.
  • Kandala CV; National Peanut Research Laboratory, United States Department of Agriculture, Dawson, GA, USA.
Bioresour Technol ; 152: 283-91, 2014.
Article em En | MEDLINE | ID: mdl-24300846
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atmosfera / Sulfatos / Sulfitos / Biomassa / Microalgas / Gases / Modelos Teóricos Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioresour Technol Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2014 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atmosfera / Sulfatos / Sulfitos / Biomassa / Microalgas / Gases / Modelos Teóricos Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioresour Technol Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2014 Tipo de documento: Article País de publicação: Reino Unido