Background: Plasma-activated water (PAW) is considered one of the emerging strategies that has been highlighted recently in the food industry for microbial decontamination and mycotoxin detoxification, due to its unique provisional characteristics. Aim: The effectiveness of PAW for aflatoxin B1 (AFB1), ochratoxin A (OTA), and fumonisin B1 (FB1) detoxification in naturally contaminated poultry feeds with its impacts on the feed quality were inspected. Methods: PAW-30 and PAW-60 were utilized for feed treatment for six time durations (5, 10, 15, 20, 40 and 60 min) each. The alterations in the physicochemical properties of PAW after different time durations of plasma inducement and treatment with and without feed samples were monitored. Competitive Enzyme-Linked Immunosorbent Assay (ELISA) was employed for estimation of mycotoxin levels and High Performance Liquid Chromatography (HPLC) was utilized for results confirmation. Feed composition analyses with peroxide values (PVs) estimation were implemented according to standard analytical methods. Results: The physicochemical properties of PAW showed a significant decrease (P<0.05) in pH value from 6.72 to 2.68 and a significant increase (P<0.05) in oxidation-reduction potential (ORP), electrical conductivity (EC) and temperature from 235 mV, 5.1 μS/cm and 20.5 °C to 499.2 mV, 727.6 μS/cm and 26.8 °C, respectively after 60 min of plasma inducement in a time-dependent manner. The mycotoxins decay kinetics after PAW application were illustrated. Mycotoxins degradation efficiency significantly increased (P<0.05) with increasing water activation time. A significant increase (P<0.05) in AFB1, OTA and FB1 degradation levels was reported mainly during the first 10 min of treatment for AFB1 and the first 15 min for OTA and FB1 to record values of 28.33, 32.14 and 34.62% and 33.80, 40.70 and 43.38% after 60 min of feed exposure to PAW-30 and PAW-60, respectively. Significant differences (P<0.05) between examined mycotoxins in their degradation levels were recorded, where FB1 exhibited the highest degradation levels. Generally, feed compositions were slightly affected by PAW and fats were still having good quality. Conclusion: The possibility of PAW for degrading more than a quarter to a third of the original quantity of targeted mycotoxins in poultry feeds after 10 min of treatment with a slight effect on feed quality.
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This research aims to compare Bayesian Method and Full Maximum Likelihood to estimate hierarchical Poisson regression model.
The comparison was done by simulation using different sample sizes (n = 30, 60, 120) and different Frequencies (r = 1000, 5000) for the experiments as was the adoption of the Mean Square Error to compare the preference estimation methods and then choose the best way to appreciate model and concluded that hierarchical Poisson regression model that has been appreciated Full Maximum Likelihood Full Maximum Likelihood with sample size (n = 30) is the best to represent the maternal mortality data after it has been reliance value param
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The current study was carried out to reveal the plasma parameters such as ,the electron temperature ( ), electron density (ne) , plasma frequency (fp), Debye length ( ) , Debye number ( for CdS to employ the LIBS for the purpose of analyzing and determining spectral emission lines using . The results of electron temperature for CdS range (0.746-0.856) eV , the electron density(3.909-4.691)×1018 cm-3. Finally ,we discuss plasma parameters of CdS through nano second laser generated plasma .
This study aims to analyze spectra in real-time for λ Draconids, σ Hydrids, μ Virginid, and one sporadic meteor using spectroscopic chemical analysis and diagnose plasma parameters. Good-resolution spectroscopy and a CCD camera for meteor observation were used concurrently to examine the ablation spectra of these meteorites in situ. The Boltzmann and Lorentz methods were then used to determine the temperature and density of electrons, the length of Debye, and the frequency of plasma. Furthermore, spectra data can be analyzed and compared to data from other sources. Spectrum tests can be utilized to identify the chemical structure of meteorites' plasma.
sensor sampling rate (SSR) may be an effective and crucial field in networked control systems. Changing sensor sampling period after designing the networked control system is a critical matter for the stability of the system. In this article, a wireless networked control system with multi-rate sensor sampling is proposed to control the temperature of a multi-zone greenhouse. Here, a behavior based Mamdany fuzzy system is used in three approaches, first is to design the fuzzy temperature controller, second is to design a fuzzy gain selector and third is to design a fuzzy error handler. The main approach of the control system design is to control the input gain of the fuzzy temperature controller depending on the cur
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