Basis of predictive mycology

Dantigny, Philippe; Guilmart, Audrey; Bensoussan, Maurice

doi:10.1016/j.ijfoodmicro.2004.10.013

Cited by 144 publications

(85 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The water activity was stable during the storage period (Table 2) inhibiting the growth of vegetative forms including moulds, and the germination of bacterial spores. Temperature is considered the main critical factor for controlling bacterial growth, while the effect of a w on growth of moulds is more rate-limiting than temperature (danTigny et al, 2005). In relation to storage time (P=0.0033), the storability of OSC and of any organic material is time dependent; its magnitude is determined by the effects of environmental factors, which were compliant in our experiment for even long term storage.…”

Section: Evaluation Of Storability Of Oscsmentioning

confidence: 81%

Short-term storability of oil seed and walnut cake — microbiological aspect

Tarek-Tilistyák¹,

Juhász-Román²,

Jekő³

et al. 2014

Acta Alimentaria

View full text Add to dashboard Cite

We evaluated the microbiological safety, the short-term storability, and the macronutrients of oil seed cake (OSC) obtained from walnut (WnC), linseed (LC), and sunflower seed with hull (SC). The OSCs had 3.6-5.8% moisture content, 0.50-0.60 water activity (a w ), 29.9-39.4% protein, 15.5-23.6% fat, and 36.6-48.0% dietary fibre content. The grinded OSCs could be stored in opaque plastic bags for 4 months at temperatures of 4 °C, 14 °C, and 25 °C. Total colony count of mesophilic microorganisms depending on oxygen demand and spore-forming ability, and faecal indicator microorganisms were determined during a 4-month storage term at 4 °C, 14 °C, and 25 °C using traditional culturing methods. The OSCs were free from sulphite-reducing Clostridia and coliforms, including Escherichia coli. Data were analyzed statistically by multifactor analysis of variance. Ascending order of the average contamination of the three products (log 10 CFU g -1 ) was aerobic sporogenic bacteria (2.39), fungal count (2.51), total aerobic microbe count (3.00), anerobic sporogenic bacteria (3.75), and total anaerobic microbe count (4.23). As for the average microbial count, WnC was the least (2.73 log 10 CFU g -1) and LC was the highest (3.53 log 10 CFU g -1 ) contaminated material. Regarding the variation of microbial contamination during storage, temperature was indifferent (P=0.191), while storage time (P=0.0033) and the product type were influential (P=0.000).

show abstract

Section: Evaluation Of Storability Of Oscsmentioning

confidence: 81%

Short-term storability of oil seed and walnut cake — microbiological aspect

Tarek-Tilistyák¹,

Juhász-Román²,

Jekő³

et al. 2014

Acta Alimentaria

View full text Add to dashboard Cite

show abstract

“…Predictive mycology has emerged as a new trend, dedicated to predict and understand fungal development in different raw materials and food (Dantigny et al 2005; Dantigny and Bensoussan 2008; Bevilacqua et al 2016). …”

Section: Introductionmentioning

confidence: 99%

Assessing the ability of white-rot fungi to tolerate polychlorinated biphenyls using predictive mycology

et al. 2018

View full text Add to dashboard Cite

The aim of the present study was to assess the ability of different white-rot fungi to tolerate polychlorinated biphenyls (PCBs) using predictive mycology, by relating fungal growth inhibition to ligninolityc enzyme secretion. Fungal strains were grown in the presence of PCBs in solid media and their radial growth values were modelled through the Dantigny-logistic like function in order to estimate the time required by the fungal colonies to attain half their maximum diameter. The principal component analysis (PCA) revealed an inverse correlation between strain tolerance to PCBs and the laccase secretion over time, being laccase production closely associated with fungal growth capacity. Finally, a PCA was run to regroup and split between resistant and sensitive fungi. Simultaneously, a function associated with a model predicting the tolerance to PCBs was developed. Some of the assayed isolates showed a promising capacity to be applied in PCB bioremediation.Abbreviations: Polychlorinated biphenyls (PCBs), white-rot fungi (WRF)

show abstract

“…There have been few reports on the effects of environmental factors like a w and temperature and the influence of solutes on B. cinerea growth under 'in vitro' conditions (Dantigny et al, 2005a). Beside an extensive study focusing on the effect of wind speed, relative humidity and temperature on aerial mycelium produced by B. cinerea (Thomas et al, 1988).…”

Section: Introductionmentioning

confidence: 99%

“…Various models have been developed in predictive microbiology for fitting growth curves and estimating biological parameters of food-borne pathogens (McMeekin et al, 1993(McMeekin et al, , 2002. Nevertheless, most of the models derive from models based on bacterial data due to the inherent difficulties in assessment of fungal growth rates and gathering of sufficient suitable and reproducible data (Gibson and Hocking, 1997;Dantigny et al, 2005a). Various workers have developed probability, mechanistic/semi-mechanistic, empirical and thermal death models for a variety of toxigenic and spoilage fungi (Pitt, 1993;Skirdal and Eklund, 1993;Gibson et al, 1994;Marín et al, 1996;Cuppers et al, 1997;El-Halouat and Debevere, 1997;Valík and Piecková, 2001;Sautour et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Predictive modelling of temperature and water activity (solutes) on the in vitro radial growth of Botrytis cinerea Pers

Lahlali

Serrhini

Friel

et al. 2007

International Journal of Food Microbiology

View full text Add to dashboard Cite

The objective of this work was to develop validated models predicting the 'in vitro' effect of a w and temperature on the radial growth of Botrytis cinerea. The growth rate (g, mm d− 1 ) of B. cinerea was calculated at three incubation temperatures (25°C, 15°C, 5°C) and six water activities (ranging from 0.995 to 0.890). The water activity was adjusted with glucose, NaCl, glycerol, or sorbitol. Statistical analysis showed a significant effect of temperature, solute, a w , and their two-and three-way interactions on the growth rate. No growth was observed at a w = 0.93 in the presence of NaCl or at 0.89 in the presence of a non-ionic solute. The maximum colony growth rate decreased when the incubation temperature and water activity was lowered. Secondary models, relating the colony growth rate with a w or a w and temperature were developed. Optimum a w values for growth ranged from 0.981 to 0.987 in glycerol-, sorbitol-, or glucose-modified medium and were close to 1 in NaClmodified medium. A quadratic polynomial equation was used to describe the combined effects of temperature and a w on g (mm d − 1 ) in the presence of each solute. The highest and lowest radial growth rates were observed in models based on glucose and NaCl respectively, whatever the incubation temperature. All models prove to be good predictors of the growth rates of B. cinerea within the limits of experiments. The quadratic polynomial equation has bias factors of 0.957, 1.036, 0.950, and 0.860 and accuracy factors of 1.089, 1.070, 1.120 and 1.260 in media supplemented with glucose, NaCl, glycerol and sorbitol respectively. The results from modelling confirm the general finding that a w has a greater influence on fungal growth than temperature.

show abstract

Basis of predictive mycology

Cited by 144 publications

References 32 publications

Short-term storability of oil seed and walnut cake — microbiological aspect

Short-term storability of oil seed and walnut cake — microbiological aspect

Assessing the ability of white-rot fungi to tolerate polychlorinated biphenyls using predictive mycology

Predictive modelling of temperature and water activity (solutes) on the in vitro radial growth of Botrytis cinerea Pers

Contact Info

Product

Resources

About