scholarly journals Mathematical modeling for ethanol, methanol and acetaldehyde generation through Mexican carignane grape (Vitis vinifera) vinification process

Biotecnia ◽  
2021 ◽  
Vol 23 (3) ◽  
Author(s):  
Carmen María López-Saiz ◽  
Norma Violeta Parra-Vergara ◽  
María Esther Parra-Durazo ◽  
Manuel Sánchez-Lucero ◽  
Armando Burgos-Hernández ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Adverse Effects ◽  
Vitis Vinifera ◽  
Mathematical Models ◽  
Human Health ◽  
Fermentation Process ◽  
Heart Diseases ◽  
Process Temperature ◽  
Pectic Enzyme ◽  
Pectic Enzymes

Wine is a worldwide known beverage, and even though its consumption has been associated with the reduction of heart diseases and the extent of lifespan, it also has compounds that might cause adverse effects on human health such as methanol and acetaldehyde. The aim of this study was to determine the effect of time, temperature, and pectic enzymes over wine methanol and acetaldehyde concentrations during vinification. Three temperatures (20, 30, and 35 °C) and three pectic enzyme concentrations (0, 9, and 18 mL/Kg) were tested, letting fermentation to stop due to sugar depletion. Both, metanol and acetaldehyde were quantified throughout the fermentation process. Temperature reduced metanol production, observing the lowest metanol concentration (53.543 ± 3.267 mg/100 mL of wine) at 35 °C in the absence of pectic enzyme. Acetaldehyde was not affected by these variables. Alcohol, metanol, and acetaldehyde concentrations were adjusted to mathematical models with high correlations.

scholarly journals DESCRIÇÃO MATEMÁTICA E SIMULAÇÃO DE MODELOS CINÉTICOS NA PRODUÇÃO DE ETANOL

e-xacta ◽  
2016 ◽  
Vol 9 (2) ◽  
Author(s):  
Mayara Dos Santos Zanardi ◽  
Raquel Vieira de Carvalho ◽  
Esly Ferreira da Costa Junior
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Models ◽  
Ethanol Production ◽  
Kinetic Models ◽  
Fossil Fuels ◽  
Fermentation Process ◽  
Empirical Models ◽  
Operating Conditions ◽  
Technological Advances ◽  
Process Behavior

<p>O etanol é um importante biocombustível alternativo para reduzir a dependência dos combustíveis fósseis. A produção de etanol por via fermentativa é a mais difundida no Brasil. Avanços tecnológicos na fermentação podem elevar a competitividade do etanol e torná-lo ainda mais atrativo. Uma ferramenta que auxilia no avanço do processo fermentativo é o desenvolvimento e aplicação de modelos matemáticos. Eles podem ser utilizados para prever e avaliar o comportamento do processo em diferentes condições operacionais. Assim, o objetivo deste trabalho é realizar uma revisão para apresentar e analisar os modelos cinéticos da literatura acerca da modelagem matemática da produção de etanol. Há diversos modelos empíricos na literatura para representar a cinética fermentativa, cada um com suas características específicas. Há modelos que apresentam inibição por produto, substrato e células. A decisão de qual modelo utilizar é inteiramente dependente do meio em que a fermentação ocorre.</p><p>ABSTRACT</p><p>Ethanol is an important alternative biofuel to reduce dependence of fossil fuels. The production of ethanol by fermentation is the most widespread in Brazil. Technological advances in fermentation can increase the competitiveness of ethanol and make it even more attractive. A tool that helps in the advancement of the fermentation process is the development and application of mathematical models. They can be used to predict and evaluate the process behavior under different operating conditions. The objective of this paper is to do a review to present and analyze the kinetic models of the literature on mathematical modeling of ethanol production. There are several empirical models in the literature to represent the fermentation kinetics, each one with their specific characteristics. There are models that show inhibition by product, substrate and cells. The decision of which model to use is entirely dependent on the environment in which fermentation occurs.</p>

Understanding Chemicals in Products

2020 ◽  
Vol 42 (3) ◽  
pp. 25-25
Keyword(s):  
Adverse Effects ◽  
Best Practices ◽  
Human Health ◽  
Building Materials ◽  
Global Environment ◽  
Global Environment Facility ◽  
Policy Issues ◽  
Strategic Approach ◽  
Chemicals Management ◽  
Funded Project

Abstract The Strategic Approach to International Chemicals Management (SAICM) has published a policy brief that addresses chemicals of concern in products such as textiles, toys, building materials, and electronics, and efforts to minimize their adverse effects on human health and the environment. The policy brief titled, “Understanding Chemicals in Products,” is a contribution from the Global Environment Facility (GEF)-funded project on “Global Best Practices on Emerging Chemical Policy Issues of Concern under SAICM.”

scholarly journals Special Issue Sources and Composition of Ambient Particulate Matter

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 462
Author(s):  
Manousos-Ioannis Manousakas
Keyword(s):  
Particulate Matter ◽  
Adverse Effects ◽  
Human Health ◽  
Ambient Particulate Matter ◽  
Special Issue

Research related to ambient particulate matter (PM) remains very relative today due to the adverse effects PM have on human health. [...]

scholarly journals A Tool for the Analysis and Characterization of School Mathematical Models

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1569
Author(s):  
Jesús Montejo-Gámez ◽  
Elvira Fernández-Ahumada ◽  
Natividad Adamuz-Povedano
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Models ◽  
Educational Research ◽  
Analysis Procedure ◽  
Real System ◽  
The Real ◽  
School Model ◽  
Corresponding Analysis ◽  
Three Components

This paper shows a tool for the analysis of written productions that allows for the characterization of the mathematical models that students develop when solving modeling tasks. For this purpose, different conceptualizations of mathematical models in education are discussed, paying special attention to the evidence that characterizes a school model. The discussion leads to the consideration of three components, which constitute the main categories of the proposed tool: the real system to be modeled, its mathematization and the representations used to express both. These categories and the corresponding analysis procedure are explained and illustrated through two working examples, which expose the value of the tool in establishing the foci of analysis when investigating school models, and thus, suggest modeling skills. The connection of this tool with other approaches to educational research on mathematical modeling is also discussed.

scholarly journals Impact of in vitro gastrointestinal digestion on the chemical composition, bioactive properties, and cytotoxicity of Vitis vinifera L. cv. Syrah grape pomace extract

2019 ◽  
Vol 10 (4) ◽  
pp. 1856-1869 ◽  
Author(s):  
Joana R. Costa ◽  
Manuela Amorim ◽  
Ana Vilas-Boas ◽  
Renata V. Tonon ◽  
Lourdes M. C. Cabral ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Phenolic Compounds ◽  
Vitis Vinifera ◽  
Human Health ◽  
Grape Pomace ◽  
Vitis Vinifera L ◽  
Gastrointestinal Digestion ◽  
Gastrointestinal Health ◽  
Bioactive Properties

Grape pomace (GP) is a major byproduct worldwide, and it is well known for its bioactive compounds, such as fibers and phenolic compounds, that are popular for their impact upon human health, including in gastrointestinal health.

Mathematical Modeling of CSTR Bioreactor Control for Production of Recombinant Protein

2014 ◽  
Vol 894 ◽  
pp. 311-315
Author(s):  
Xiao Yi Jia ◽  
Yu Tian Lin ◽  
Hui Bin Lin ◽  
Ling Gao ◽  
Jian Qun Lin ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Recombinant Protein ◽  
Fermentation Process ◽  
Protein Production ◽  
Continuous Stirred Tank Reactor ◽  
High Productivity ◽  
Box Models ◽  
Microbial Cultivation ◽  
Continuous Stirred Tank ◽  
Black Box Models

Fermentation process using recombinant strain for production of recombinant protein is widely used in commercialization of the biotechnologies. The continuous stirred tank reactor (CSTR) is a typical microbial cultivation method, has the major advantage of high productivity. Mathematical modeling and simulation is useful for analysis and optimization of the CSTR fermentation process. Most of the mathematical models developed for CSTR are black box models without information of the intracellular dynamics and regulations. In this research, a mathematical model is built based on gene regulation for recombinant protein production using CSTR, and simulation is made using this model.

Call for Manuscripts for the 2015 Focus Issue: Mathematical Modeling

2013 ◽  
Vol 18 (9) ◽  
pp. 571
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Models ◽  
Real World ◽  
The Real

This call for manuscripts is requesting articles that address how to use mathematical models to analyze, predict, and resolve issues arising in the real world.

Mathematical Alternatives to Standard Probability that Provide Selectable Degrees of Precision

2017 ◽  
Author(s):  
Terrence Fine
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Models ◽  
Theory Of Measurement ◽  
Belief Functions ◽  
Standard Practice ◽  
Mathematical Probability ◽  
Comparative Probability ◽  
The Relationship ◽  
Standard Probability

This chapter challenges the nearly universal reliance upon standard mathematical probability for mathematical modeling of chance and uncertain phenomena, and offers four alternatives. In standard practice, precise assignments are made inappropriately, even to the occurrences of events that may be unobservable in principle. Four familiar examples of chance or uncertain phenomena are discussed, about which this is true. The theory of measurement provides an understanding of the relationship between the accuracy of information and the precision with which the phenomenon under examination should be modeled mathematically. The model of modal or classificatory probability offers the least precision. Comparative probability, plausibility/belief functions and upper/lower probabilities are carefully considered. The selectable precision of these alternative mathematical models of chance and uncertainty makes for an improved range of levels of accuracy in modeling the empirical domain phenomena of chance, uncertainty, and indeterminacy. Knowledge of such models encourages further thought in this direction.

scholarly journals Mathematical Modelling and Prediction in Infectious Disease Epidemiology

2019 ◽  
Vol 23 (3) ◽  
pp. 328-334
Author(s):  
E. Ya. Yanchevskaya ◽  
O. A. Mesnyankina
Keyword(s):  
Mathematical Modeling ◽  
Infectious Disease ◽  
Mathematical Modelling ◽  
Mathematical Models ◽  
Modern World ◽  
Urgent Problem ◽  
Stages Of Development ◽  
Historical Aspects ◽  
Disease Epidemiology ◽  
Infectious Disease Epidemiology

Mathematical modeling of diseases is an urgent problem in the modern world. More and more researchers are turning to mathematical models to predict a particular disease, as they help the most correct and accurate study of changes in certain processes occurring in society. Mathematical modeling is indispensable in certain areas of medicine, where real experiments are impossible or difficult, for example, in epidemiology. The article is devoted to the historical aspects of studying the possibilities of mathematical modeling in medicine. The review demonstrates the main stages of development, achievements and prospects of this direction.

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