“…The modified equation of Bevilacqua et al (2016) was used to fit the increase in diameter and it is intended to estimate the rate of fungal growth and the parameter τ, which could be used to compare the inhibition grade among isolates. Figure 1 shows an example of the diameter vs time plot of Pleurotus sajor-caju LBM 105 growing in both control and PCB-supplemented medium, and the fitting corresponding to Equation 1.10.1080/21501203.2018.1481152-F0001Figure 1.Example of diameter vs time plot for Pleurotus sajor-caju LBM 105 growing in both control and PCB-supplemented media.…”
Section: Resultsmentioning
confidence: 99%
“…Fungal growth was modelled by using a logistic equation, modified by Dantigny et al (2011) and Bevilacqua et al (2016) (Equation 1):
…”
Section: Methodsmentioning
confidence: 99%
“…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). …”
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)
“…The modified equation of Bevilacqua et al (2016) was used to fit the increase in diameter and it is intended to estimate the rate of fungal growth and the parameter τ, which could be used to compare the inhibition grade among isolates. Figure 1 shows an example of the diameter vs time plot of Pleurotus sajor-caju LBM 105 growing in both control and PCB-supplemented medium, and the fitting corresponding to Equation 1.10.1080/21501203.2018.1481152-F0001Figure 1.Example of diameter vs time plot for Pleurotus sajor-caju LBM 105 growing in both control and PCB-supplemented media.…”
Section: Resultsmentioning
confidence: 99%
“…Fungal growth was modelled by using a logistic equation, modified by Dantigny et al (2011) and Bevilacqua et al (2016) (Equation 1):
…”
Section: Methodsmentioning
confidence: 99%
“…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). …”
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)
“…A second output of a multifactorial anova is the decomposition of the statistical hypothesis; as reported elsewhere (Bevilacqua et al ., ), the decomposition does not show actual values or effective trends, but a qualitative correlation on how each factor act on the dependent variable (hydrophobicity). As expected, the increase in the contact time caused a significant rise of hydrophobicity (Fig.…”
Summary
Two commercial promising probiotic strains (Propionibacterium jensenii and Propionibacterium freudenreichii) were studied to evaluate two basic probiotic requisites (adhesion and survival during the transit into the gut); two commercial starter cultures (Lactobacillus plantarum and Lactobacillus delbrueckii subsp. bulgaricus) were used as references. As an additional goal, the technological robustness was evaluated as growth as a function of pH, temperature and salt. Adhesion was studied as biofilm formation and hydrophobicity, whereas a simplified protocol was used to simulate the transit into the gut, along with the assessment of survival at pH 2.5 and in the presence of 0.3% bile salts. Propionibacteria were hydrophobic and form biofilm on glass slides, thus confirming the correlation of these properties and with the ability to adhere. None of the strains survived after the simulation of the transit into the gut, but this property could be induced in propionibacteria using a simple protocol of adaptive evolution. This paper suggests the possibility of using hydrophobicity as a screening tool to assess adhesion in propionibacteria and highlights the necessity of using a complete protocol of simulation of the gut to study the resistance to the conditions of stomach and intestine to avoid false‐positive results.
“…A second output of a multifactorial anova is the decomposition of the statistical hypothesis; as reported elsewhere (Bevilacqua et al ., ), decomposition does not show actual values or effective trends, but a qualitative correlation on how each predictor acts on the dependent variable (log reduction of the number of D. gallinae ). With respect to the effect of position (Fig.…”
Dermanyssus gallinae (Mesostigmata: Dermanyssidae) is the most harmful ectoparasite of laying hens, represents an occupational hazard for poultry workers, and a growing threat to medical science per se. There is increasing demand for alternative products, including plant-derived acaricides, with which to control the mite. The present study investigated the efficacy of neem oil against D. gallinae on a heavily infested commercial laying hen farm. A novel formulation of 20% neem oil, diluted from a 2400-p.p.m. azadirachtin-concentrated stock (RP03™), was administered by nebulization three times in 1 week. Using corrugated cardboard traps, mite density was monitored before, during and after treatment and results were statistically analysed. Mite populations in the treated block showed 94.65%, 99.64% and 99.80% reductions after the first, second and third product administrations, respectively. The rate of reduction of the mite population was significantly higher in the treated block (P < 0.001) compared with the control and buffer blocks. The results suggest the strong bioactivity of neem, and specifically of the patented neem-based formulation RP03™, against D. gallinae. The treatment was most effective in the 10 days following the first application and its effects persisted for over 2 months. Further studies will aim to overcome observed side effects of treatment represented by an oily layer on equipment and eggs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
