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Removal pattern of vinasse phenolics by Phlebia rufa, characterization of an induced laccase and inhibition kinetics modeling

Biodegradation (Dordrecht), 2021-06, Vol.32 (3), p.287-298

2021

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Enzymatic saccharification of biologically pre-treated wheat straw with white-rot fungi

Bioresource technology, 2010-08, Vol.101 (15), p.6045-6050

2010

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Modification of wheat straw lignin by solid state fermentation with white-rot fungi

Bioresource technology, 2009-10, Vol.100 (20), p.4829-4835

2009

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Winery wastewater treatment by combination of Cryptococcus laurentii and Fenton’s reagent

Chemosphere (Oxford), 2014-12, Vol.117, p.53-58

2014

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Enzymatic kinetic of cellulose hydrolysis : Inhibition by ethanol and cellobiose

Applied biochemistry and biotechnology, 2005-07, Vol.126 (1), p.49-59

2005

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A Kinetic Process to Determine the Interaction Type Between Two Compounds, One of Which Is a Reaction Product, Using Alkaline Phosphatase Inhibition as a Case Study

Applied biochemistry and biotechnology, 2020-06, Vol.191 (2), p.657-665

2020

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Influence of ligninolytic enzymes on straw saccharification during fungal pretreatment

Bioresource technology, 2012-05, Vol.111, p.261-267

2012

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Pretreatment of Grape Stalks by Fungi: Effect on Bioactive Compounds, Fiber Composition, Saccharification Kinetics and Monosaccharides Ratio

International journal of environmental research and public health, 2020-08, Vol.17 (16), p.5900

2020

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Kinetic Analysis Misinterpretations Due to the Occurrence of Enzyme Inhibition by Reaction Product: Comparison between Initial Velocities and Reaction Time Course Methodologies

Applied sciences, 2022-01, Vol.12 (1), p.102

2022

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Discrimination among eight modified michaelis-menten kinetics models of cellulose hydrolysis with a large range of substrate/enzyme ratios: inhibition by cellobiose

Applied biochemistry and biotechnology, 2004-03, Vol.112 (3), p.173-184

2004

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Utilization of integrated Michaelis–Menten equations for enzyme inhibition diagnosis and determination of kinetic constants using Solver supplement of Microsoft Office Excel

Computer methods and programs in biomedicine, 2013-01, Vol.109 (1), p.26-31

2013

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Enzyme inhibition studies by integrated Michaelis–Menten equation considering simultaneous presence of two inhibitors when one of them is a reaction product

Computer methods and programs in biomedicine, 2016-03, Vol.125, p.2-7

2016

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Diagnosis of Enzyme Inhibition Using Excel Solver: A Combined Dry and Wet Laboratory Exercise

Journal of chemical education, 2014-07, Vol.91 (7), p.1017-1021

2014

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Mediterranean forested wetlands are yeast hotspots for bioremediation: a case study using azo dyes

Scientific reports, 2018-10, Vol.8 (1), p.15943-9, Article 15943

2018

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Fungal biodegradation and multi-level toxicity assessment of vinasse from distillation of winemaking by-products

Chemosphere (Oxford), 2020-01, Vol.238, p.124572, Article 124572

2020

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Solid-State Fermentation of Chestnut Shells and Effect of Explanatory Variables in Predictive Saccharification Models

International journal of environmental research and public health, 2022-02, Vol.19 (5), p.2572

2022

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The potential of white-rot fungi to degrade phorbol esters of Jatropha curcas L. seed cake

Engineering in life sciences, 2011-02, Vol.11 (1), p.107-110

2011

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Simultaneous ethanol and cellobiose inhibition of cellulose hydrolysis studied with integrated equations assuming constant or variable substrate concentration

Applied biochemistry and biotechnology, 2006-07, Vol.134 (1), p.27-38

2006

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Utilization of integrated Michaelis‐Menten equation to determine kinetic constants

Biochemistry and molecular biology education, 2007-03, Vol.35 (2), p.145-150

2007

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Phenolic and non-phenolic substrates oxidation by laccase at variable oxygen concentrations: Selection of bisubstrate kinetic models from polarographic data

Biochemical engineering journal, 2020-01, Vol.153, p.107423, Article 107423

2020

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Discrimination between rival laccase inhibition models from data sets with one inhibitor concentration using a penalized likelihood analysis and Akaike weights

Biocatalysis and biotransformation, 2018-09, Vol.36 (5), p.401-407

2018

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Simulaaneous ethanol and cellobiose inhibition of cellulose hydrolysis studied with integrated equations assuming constant or variable substrate concentration

Applied biochemistry and biotechnology, 2006-07, Vol.134 (1), p.27-38

2006

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Utilization of integrated MichaelisaMenten equations for enzyme inhibition diagnosis and determination of kinetic constants using Solver supplement of Microsoft Office Excel

Computer methods and programs in biomedicine, 2013-01, Vol.109 (1), p.26-31

2013

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Hazardous impact of vinasse from distilled winemaking by-products in terrestrial plants and aquatic organisms

Ecotoxicology and environmental safety, 2019-11, Vol.183, p.109493, Article 109493

2019

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Serum Alanine Aminotransferase Levels, Hematocrit Rate and Body Weight Correlations Before and After Hemodialysis Session

Clinics (São Paulo, Brazil), 2009-01, Vol.64 (10), p.941-945

2009

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Removal pattern of vinasse phenolics by Phlebia rufa, characterization of an induced laccase and inhibition kinetics modeling

Enzymatic saccharification of biologically pre-treated wheat straw with white-rot fungi

Modification of wheat straw lignin by solid state fermentation with white-rot fungi

Winery wastewater treatment by combination of Cryptococcus laurentii and Fenton’s reagent

Enzymatic kinetic of cellulose hydrolysis : Inhibition by ethanol and cellobiose

A Kinetic Process to Determine the Interaction Type Between Two Compounds, One of Which Is a Reaction Product, Using Alkaline Phosphatase Inhibition as a Case Study

Influence of ligninolytic enzymes on straw saccharification during fungal pretreatment

Pretreatment of Grape Stalks by Fungi: Effect on Bioactive Compounds, Fiber Composition, Saccharification Kinetics and Monosaccharides Ratio

Kinetic Analysis Misinterpretations Due to the Occurrence of Enzyme Inhibition by Reaction Product: Comparison between Initial Velocities and Reaction Time Course Methodologies

Discrimination among eight modified michaelis-menten kinetics models of cellulose hydrolysis with a large range of substrate/enzyme ratios: inhibition by cellobiose

Utilization of integrated Michaelis–Menten equations for enzyme inhibition diagnosis and determination of kinetic constants using Solver supplement of Microsoft Office Excel

Enzyme inhibition studies by integrated Michaelis–Menten equation considering simultaneous presence of two inhibitors when one of them is a reaction product

Diagnosis of Enzyme Inhibition Using Excel Solver: A Combined Dry and Wet Laboratory Exercise

Mediterranean forested wetlands are yeast hotspots for bioremediation: a case study using azo dyes

Fungal biodegradation and multi-level toxicity assessment of vinasse from distillation of winemaking by-products

Solid-State Fermentation of Chestnut Shells and Effect of Explanatory Variables in Predictive Saccharification Models

The potential of white-rot fungi to degrade phorbol esters of Jatropha curcas L. seed cake

Simultaneous ethanol and cellobiose inhibition of cellulose hydrolysis studied with integrated equations assuming constant or variable substrate concentration

Utilization of integrated Michaelis‐Menten equation to determine kinetic constants

Phenolic and non-phenolic substrates oxidation by laccase at variable oxygen concentrations: Selection of bisubstrate kinetic models from polarographic data

Discrimination between rival laccase inhibition models from data sets with one inhibitor concentration using a penalized likelihood analysis and Akaike weights

Simulaaneous ethanol and cellobiose inhibition of cellulose hydrolysis studied with integrated equations assuming constant or variable substrate concentration

Utilization of integrated MichaelisaMenten equations for enzyme inhibition diagnosis and determination of kinetic constants using Solver supplement of Microsoft Office Excel

Hazardous impact of vinasse from distilled winemaking by-products in terrestrial plants and aquatic organisms

Serum Alanine Aminotransferase Levels, Hematocrit Rate and Body Weight Correlations Before and After Hemodialysis Session

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