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Antimicrobial activity of leaf and flower extracts of Lippia nodiflora L. (Verbenacea)

100%

Zare Z., Majd A., Sattari T. N., Iranbakhsh A., Mehrabian S.

Journal of Plant Protection Research

2012

tom 52

nr 4

Antimicrobial activities of the methanolic extracts from the leaves and flowers of Lippia nodiflora L. (Verbenaceae), were studied by the disk diffusion method. The extracts showed antimicrobial impact on bacteria such as Bacillus subtilis, B. cereus, Micrococcus luteus, Staphylococcus aureus, Pseudomonas aeruginosa, Klebsiella pneumonia, K. oxytoca and Esherichia coli as well as fungi such Aspergillus niger and Candida albicanse. The results showed that increasing concentrations of extracts increased the antimicrobial activities in all of the microorganisms. Bacteria were more sensitive than fungi, and gram positive bacteria were more sensitive than gram negative ones.

Screening of the aerodynamic and biophysical properties of barley malt

86%

Ghodsvali A., Farzaneh V., Bakhshabadi H., Zare Z., Karami Z., Mokhtarian M., Carvalho I. S.

International Agrophysics

2016

tom 30

nr 4

An understanding of the aerodynamic and biophysical properties of barley malt is necessary for the appropriate design of equipment for the handling, shipping, dehydration, grading, sorting and warehousing of this strategic crop. Malting is a complex biotechnological process that includes steeping; germination and finally, the dehydration of cereal grains under controlled temperature and humidity conditions. In this investigation, the biophysical properties of barley malt were predicted using two models of artificial neural networks as well as response surface methodology. Stepping time and germination time were selected as the independent variables and 1 000 kernel weight, kernel density and terminal velocity were selected as the dependent variables (responses). The obtained outcomes showed that the artificial neural network model, with a logarithmic sigmoid activation function, presents more precise results than the response surface model in the prediction of the aerodynamic and biophysical properties of produced barley malt. This model presented the best result with 8 nodes in the hidden layer and significant correlation coefficient values of 0.783, 0.767 and 0.991 were obtained for responses one thousand kernel weight, kernel density, and terminal velocity, respectively. The outcomes indicated that this novel technique could be successfully applied in quantitative and qualitative monitoring within the malting process.

Modelling of mass transfer kinetic in osmotic dehydration of kiwifruit

86%

Jabrayili S., Farzaneh V., Zare Z., Bakhshabadi H., Babazadeh Z., Mokhtarian M., Carvalho I. S.

International Agrophysics

2016

tom 30

nr 2

Ograniczanie wyników

2 International Agrophysics

1 Journal of Plant Protection Research

3 Zare Z.

2 Bakhshabadi H.

2 Carvalho I. S.

2 Farzaneh V.

2 Mokhtarian M.

1 Babazadeh Z.

1 Ghodsvali A.

1 Iranbakhsh A.

1 Jabrayili S.

1 Karami Z.

1 Majd A.

1 Mehrabian S.

1 Sattari T. N.

2 2016

1 2012

Wyniki wyszukiwania

Antimicrobial activity of leaf and flower extracts of Lippia nodiflora L. (Verbenacea)

Screening of the aerodynamic and biophysical properties of barley malt

Modelling of mass transfer kinetic in osmotic dehydration of kiwifruit