Archivio Pubblicazioni - 2014


Electronic Nose Application for the Determination of Penicillin G in Saanen Goat Milk with Fisher Discriminate and Multilayer Perceptron Neural Network Analyses

Wu Ding, Yao Zhang, Liping Kou, Wayne M. Jurick; Journal of Food Processing and Preservation (Impact Factor: 0.45). 09/2014; DOI: 10.1111


Antibiotics are routinely added to milk products and pose potential harm to public health. The objective of this study was to use an innovative and nondestructive application of an electronic nose instrument for rapid detection of penicillin G in goat milk. The PEN3 electronic nose system was utilized to detect volatile substances in goat milk after the addition of penicillin G sodium salt at concentrations of 0, 50, 100 and 200 μg/L. The data were extracted at 60 s to carry out a linear discriminant analysis. Additional statistical analysis was conducted using neural networks to predict the penicillin G concentration in goat milk samples. Accuracy rates for the two methods were 98.0 and 96.7% for training samples, and 97.0 and 94.9% for testing samples, respectively. The results from this study show that the electronic nose system can be utilized to predict the penicillin G concentrations in goat milk samples.Practical ApplicationsAntibiotics are routinely added to animal-derived food products and have been reported to cause potential harm to human health. However, traditional analytical chemical methods (i.e., gas, liquid and high-performance liquid chromatography) can detect trace amounts of additives and have some drawbacks, such as complicated operation, high costs of implementation and lengthy analysis time. This research has examined the feasibility, accuracy and effectiveness of a metal oxide semiconductor gas sensor type electronic nose device (the PEN3 e-nose) to detect and discriminate among different concentrations of penicillin G in goat milk. Data from this study show that the electronic nose system can be used to predict the penicillin G concentration in goat milk samples.


Noses for Surveillance of Wastewater from Secondary Treatment Plants in Alexandria, Egypt

Ehab I. Mohamed, Marwa M. Tala, Samaa M. Zaki, Ibrahim A.B.El Assar, Amani M. Bayoumi and Fatma M. El-Demerdash.

The 2014 World Congress - Advances in Civil, Environmental and Material Research  (ACEM 14) - Busan, Kores, August 24-28 ,  2014. 


Intermittent discharges of industrial chemical pollutants into sewers can have a damaging effect on the processes involved in treating wastewater. They are sometimes able to pass through treatment plants and enter into the receiving water, to exert a harmful effect on the environment and possibly pass down a river to the intakes forwater supplies. We evaluated the use of an electronic nose (E-Nose) consisting of ten non-specific metal oxide sensors for monitoring odors of wastewater from influent and effluent samples at three different wastewater secondary treatment plants in Alexandria, Egypt, over a 7-month period in association with causes of odor by standard laboratories of chemical analysis. We analyzed E-Nose sensor responses of all plants using the principal component analysis (PCA), which allowed interpretation and differentiation of samples in terms of origin and quality along the study period. E-Nose sensor responses for influent and final effluent samples from the three secondary treatment plants were significantly associated with Hydrogen Sulphide, Ammonia and Nitrate. Thus, the E-Nose can be used as a rapid alarm generator towards volatile compounds, e.g. in specific advanced treatment processes to produce claimed water from effluent of the domestic wastewater treatment plant under scrutiny... 
Wastewater arriving at sewage treatment plants is highly variable in nature, due to the diurnal nature of human activity and the environmental factors such as rainfall, in addition to shorter term variability effects due to intermittent or accidental discharges of chemical pollutants into sewers (Baawain 2013, Leusch 2013). These latter discharges, usually of industrial origin, can have a damaging effect on the processes involved in treating wastewater and are sometimes able to pass through treatment plants and ...