Inhibition impacts of natural clinoptilolite on biogenic amines production by common food-borne pathogens in arginine decarboxylase broth

The effect of natural clinoptilolite (CLINOPT) on ammonia (AMN) and biogenic amines (BAs) production by different food borne-pathogens (FBPs) was studied in arginine decarboxylase broth (ADB) using HPLC. All tested bacteria were found to have an ability to produce ammonia and BAs in ADB. It was demonstrated that ammonia and biogenic amine production could be significantly influenced by adding CLINOPT (P < 0.05). Both concentrations of CLINOPT (1 and 5%) had a clear inhibition effect only on putrescine (PUT) formation by both Gram negative and positive FBPs. On the other hand, CLINOPT resulted in strong increases in biogenic amines production by Enterococcus faecalis, although remarkable decreases were observed for biogenic amines by Salmonella paratyphi A in the presence of CLINOPT. Consequently, it can be concluded that the effect of CLINOPT on AMN and BAs production varied depending on not only FBPs, but also CLINOPT concentrations used

Coupling of homotopy perturbation, Laplace transform and Padé approximants for nonlinear oscillatory systems

In this article, homotopy perturbation method coupled with Laplace transform and Padé 0approximants is applied on the re-formulated nonlinear oscillatory systems. Numerical results and graphical represenations explicitly reveal the complete reliability and effeicincy of the suggested algorithm. © IDOSI Publications, 2012

DETERMINATION OF ENERGY USE EFFICIENCY OF COTTON PRODUCTION IN TURKEY: A CASE STUDY FROM HATAY PROVINCE

As there was no related research for the Hatay province, this study aimed at determining the energy efficiency of cotton production in that area.This study aimed at determining the energy efficiency of cotton production in the Hatay region of Turkey. Data were gathered in the sea-son of 2016-2017 from 136 enterprises which were chosen by the Simple Random Sampling Method. In order to determine the energy efficiency of cotton, data provided by farmers were utilized. The energy input and output in cotton production were calculated as 57134.25 MJ ha-1 and 63270.54 MJ ha-1, respectively. Energy inputs consist of; electrical by 20914.02 MJ ha-1 (36.61%), chemical fertilizer by 15466.06 MJ ha-1 (27.07%), diesel fuel by 13828.61 (24.20%), irrigation by 4378.50 MJ ha-1 (7.66%), machinery by 1136.59 MJ ha-1 (1.99%), chemical by 830.85 MJ ha-1 (1.45%), seed energy by 311.99 MJ ha-1 (0.55%), and human labour by 267.62 MJ ha-1 (0.47%). Energy in cotton production could be classified as 68.94% direct, 31.06% indirect, 8.67% renewable, and 91.33% non-renewable. Energy efficiency, specific energy, energy productivity, and net energy in cotton production were calculated as 1.11, 10.66 MJ kg-1, 0.09 kg MJ-1, and 6136.29 MJ ha-1.This study was funded by the Hatay Musta-fa Kemal University Scientific Research Projects Coordination Unit (Project No: 16322)