Literature DB >> 27184972

Description of Aspergillus flavus growth under the influence of different factors (water activity, incubation temperature, protein and fat concentration, pH, and cinnamon essential oil concentration) by kinetic, probability of growth, and time-to-detection models.

Carlos E Kosegarten1, Nelly Ramírez-Corona1, Emma Mani-López1, Enrique Palou1, Aurelio López-Malo2.   

Abstract

A Box-Behnken design was used to determine the effect of protein concentration (0, 5, or 10g of casein/100g), fat (0, 3, or 6g of corn oil/100g), aw (0.900, 0.945, or 0.990), pH (3.5, 5.0, or 6.5), concentration of cinnamon essential oil (CEO, 0, 200, or 400μL/kg) and incubation temperature (15, 25, or 35°C) on the growth of Aspergillus flavus during 50days of incubation. Mold response under the evaluated conditions was modeled by the modified Gompertz equation, logistic regression, and time-to-detection model. The obtained polynomial regression models allow the significant coefficients (p<0.05) for linear, quadratic and interaction effects for the Gompertz equation's parameters to be identified, which adequately described (R2>0.967) the studied mold responses. After 50days of incubation, every tested model system was classified according to the observed response as 1 (growth) or 0 (no growth), then a binary logistic regression was utilized to model A. flavus growth interface, allowing to predict the probability of mold growth under selected combinations of tested factors. The time-to-detection model was utilized to estimate the time at which A. flavus visible growth begins. Water activity, temperature, and CEO concentration were the most important factors affecting fungal growth. It was observed that there is a range of possible combinations that may induce growth, such that incubation conditions and the amount of essential oil necessary for fungal growth inhibition strongly depend on protein and fat concentrations as well as on the pH of studied model systems. The probabilistic model and the time-to-detection models constitute another option to determine appropriate storage/processing conditions and accurately predict the probability and/or the time at which A. flavus growth occurs. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aspergillus flavus; Cinnamon essential oil; Gompertz equation; Logistic regression; Probabilistic model; Time-to-detection

Mesh:

Substances:

Year:  2016        PMID: 27184972     DOI: 10.1016/j.ijfoodmicro.2016.04.024

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  7 in total

1.  Design and optimization of film-forming gel of etoricoxib using research surface methodology.

Authors:  Rabinarayan Parhi; V V Nishanth Goli
Journal:  Drug Deliv Transl Res       Date:  2020-04       Impact factor: 4.617

2.  Climate change impacts on aflatoxin B1 in maize and aflatoxin M1 in milk: A case study of maize grown in Eastern Europe and imported to the Netherlands.

Authors:  H J Van der Fels-Klerx; L C Vermeulen; A K Gavai; C Liu
Journal:  PLoS One       Date:  2019-06-27       Impact factor: 3.240

3.  Chestnut Drying Is Critical in Determining Aspergillus flavus Growth and Aflatoxin Contamination.

Authors:  Simona Prencipe; Ilenia Siciliano; Carlotta Gatti; Maria Lodovica Gullino; Angelo Garibaldi; Davide Spadaro
Journal:  Toxins (Basel)       Date:  2018-12-11       Impact factor: 4.546

4.  Cinnamon Oil Inhibits Penicillium expansum Growth by Disturbing the Carbohydrate Metabolic Process.

Authors:  Tongfei Lai; Yangying Sun; Yaoyao Liu; Ran Li; Yuanzhi Chen; Ting Zhou
Journal:  J Fungi (Basel)       Date:  2021-02-09

5.  Rapid Detection of Aspergillus flavus and Quantitative Determination of Aflatoxin B1 in Grain Crops Using a Portable Raman Spectrometer Combined with Colloidal Au Nanoparticles.

Authors:  Huiqin Wang; Mengjia Liu; Yumiao Zhang; Huimin Zhao; Wenjing Lu; Taifeng Lin; Ping Zhang; Dawei Zheng
Journal:  Molecules       Date:  2022-08-18       Impact factor: 4.927

Review 6.  Environment Changes, Aflatoxins, and Health Issues, a Review.

Authors:  Rafael Valencia-Quintana; Mirta Milić; Daniela Jakšić; Maja Šegvić Klarić; María Guadalupe Tenorio-Arvide; Guillermo Alejandro Pérez-Flores; Stefano Bonassi; Juana Sánchez-Alarcón
Journal:  Int J Environ Res Public Health       Date:  2020-10-27       Impact factor: 3.390

7.  In Vitro Biological Control of Aspergillus flavus by Hanseniaspora opuntiae L479 and Hanseniaspora uvarum L793, Producers of Antifungal Volatile Organic Compounds.

Authors:  Paula Tejero; Alberto Martín; Alicia Rodríguez; Ana Isabel Galván; Santiago Ruiz-Moyano; Alejandro Hernández
Journal:  Toxins (Basel)       Date:  2021-09-17       Impact factor: 4.546

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.