W Mousa1, F M Ghazali, S Jinap, H M Ghazali, S Radu. 1. Centre of Excellence for Food Safety Research (CEFSR), Faculty of Food Science and Technology, University Putra Malaysia, Serdang, Selangor Darul Ehsan, Malaysia.
Abstract
AIMS: This study was conducted to characterize the growth of and aflatoxin production by Aspergillus flavus on paddy and to develop kinetic models describing the growth rate as a function of water activity (a(w)) and temperature. METHODS AND RESULTS: The growth of A. flavus on paddy and aflatoxin production were studied following a full factorial design with seven a(w) levels within the range of 0·82-0·99 and seven temperatures between 10 and 43°C. The growth of the fungi, expressed as colony diameter (mm), was measured daily, and the aflatoxins were analysed using HPLC with a fluorescence detector. The maximum colony growth rates of both isolates were estimated by fitting the primary model of Baranyi to growth data. Three potentially suitable secondary models, Rosso, polynomial and Davey, were assessed for their ability to describe the radial growth rate as a function of temperature and a(w). Both strains failed to grow at the marginal temperatures (10 and 43°C), regardless of the a(w) studied, and at the a(w) level of 0·82, regardless of temperature. Despite that the predictions of all studied models showed good agreement with the observed growth rates, Davey model proved to be the best predictor of the experimental data. The cardinal parameters as estimated by Rosso model were comparable to those reported in previous studies. Toxins were detected in the range of 0·86-0·99 a(w) with optimal a(w) of 0·98 and optimal temperature in the range of 25-30°C. CONCLUSIONS: The influences of a(w) and temperature on the growth of A. flavus and aflatoxin production were successfully characterized, and the models developed were found to be capable of providing good, related estimates of the growth rates. SIGNIFICANCE AND IMPACT OF THE STUDY: The results of this study could be effectively implemented in minimizing the risk of aflatoxin contamination of the paddy at postharvest.
AIMS: This study was conducted to characterize the growth of and aflatoxin production by Aspergillus flavus on paddy and to develop kinetic models describing the growth rate as a function of water activity (a(w)) and temperature. METHODS AND RESULTS: The growth of A. flavus on paddy and aflatoxin production were studied following a full factorial design with seven a(w) levels within the range of 0·82-0·99 and seven temperatures between 10 and 43°C. The growth of the fungi, expressed as colony diameter (mm), was measured daily, and the aflatoxins were analysed using HPLC with a fluorescence detector. The maximum colony growth rates of both isolates were estimated by fitting the primary model of Baranyi to growth data. Three potentially suitable secondary models, Rosso, polynomial and Davey, were assessed for their ability to describe the radial growth rate as a function of temperature and a(w). Both strains failed to grow at the marginal temperatures (10 and 43°C), regardless of the a(w) studied, and at the a(w) level of 0·82, regardless of temperature. Despite that the predictions of all studied models showed good agreement with the observed growth rates, Davey model proved to be the best predictor of the experimental data. The cardinal parameters as estimated by Rosso model were comparable to those reported in previous studies. Toxins were detected in the range of 0·86-0·99 a(w) with optimal a(w) of 0·98 and optimal temperature in the range of 25-30°C. CONCLUSIONS: The influences of a(w) and temperature on the growth of A. flavus and aflatoxin production were successfully characterized, and the models developed were found to be capable of providing good, related estimates of the growth rates. SIGNIFICANCE AND IMPACT OF THE STUDY: The results of this study could be effectively implemented in minimizing the risk of aflatoxin contamination of the paddy at postharvest.
Authors: Ana Isabel Galván; Alicia Rodríguez; Alberto Martín; Manuel Joaquín Serradilla; Ana Martínez-Dorado; María de Guía Córdoba Journal: Toxins (Basel) Date: 2021-02-11 Impact factor: 4.546
Authors: Samuel K Mutiga; J Musembi Mutuku; Vincent Koskei; James Kamau Gitau; Fredrick Ng'ang'a; Joyce Musyoka; George N Chemining'wa; Rosemary Murori Journal: Toxins (Basel) Date: 2021-03-11 Impact factor: 4.546
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