Abstract

Aims: In the present work, the Libyan wild-growing Thymus capitatus essential oil (EO) was evaluated for its biological properties.

Methods and results: Carvacrol (68.19%) and thymol (12.29%) were found to be the main compounds of the oil. Antioxidant properties, determined by 2,2-diphenylpicrylhydrazyl (DPPH) assay, revealed that IC50 values were 119, 403 and 105 μg ml(-1) for oil, thymol and carvacrol respectively. Microdilution method showed strong antibacterial and especially antifungal potential. Tetrazolium (MTT) colorimetric assay indicated moderate cytotoxicity towards human cell lines MRC-5, HCT 116 and HT-29 (IC50 = 30-150 μg ml(-1)). In adhesion-inhibition assay oil and main compounds reduced adhesion of Escherichia coli and Listeria monocytogenes on colon cells HT-29 (51 and 39% of inhibition against L. monocytogenes and E. coli respectively).

Conclusions: Essential oil of Th. capitatus showed moderate cytotoxic activity, together with excellent antimicrobial effect, in particular against fungi, and significant potential to reduce pathogen colonization in colon.

Abstract- Botryodiplodia sp. AUMC 9468 was isolated in pure culture from canker on Ficus benjamina, on side of Ibraheemia bank stream at Assiut governorate, Egypt. The analysis of growth condition suggested the trees were stressed induced by light, nutrient and medium factors. This report is the first for Botryodiplodia canker on F. benjamina in Egypt. The pathogenicity test were resulted on that the fungus was introduced with the trees, penetrated through bark wounds, and incubated under conditions stressful to the well-being of the tree.

Keywords- Canker,Ficus benjamina, Botryodiplodia.

 The increased prevalence of hypervirulent ribotype 027 Clostridium difficile requires rapid identification of iso lates in ordertoimplementtimelyinfectioncontrol strategies. Highresolution melt(HRM) analysisof PCRprod ucts can identify strain variation amongst genera of bacteria. The intergenic (16S–23S rDNA) spacer region contains sequenceregionsconserved withingeneraandothersequenceregionvariablesbetweenspecieswithin genera. Wewished toinvestigate whether HRM analysis of PCR ribotyping products could identify ribotype 027 C. difficile. Ribotyping was performed on 93 clinical isolates and five control strains and band patterns were ana lysedusingGelComparII(AppliedMaths,USA).Real-timePCRusingribotypingprimerswasperformedandnor malised melt curves were generated. The HRM data was then imported into ScreenClust software (QIAGEN) to generate principal component analysis graphs depicting clustered relationships of strains. Ribotyping produced clear PCR bands for 88/98 isolates tested. Dendrograms generated by GelCompar showed a diversity of ribotype patterns amongst these 88 isolates with 18 groups identified with 70% homology. One clinical isolate showed 100%homologywiththecontrol027strains. ScreenClustanalysisofthe same88HRMresultsshowedclustering of isolates, with 027 strains identifiable as a unique cluster. HRM analysis correctly identified the control 027 stains and the clinical isolate shown to be 027. HRM combined with ScreenClust analysis of real-time PCR prod ucts of the 16S–23S rDNA spacer region successfully identified ribotype 027 strains. For infection control pur poses this was achieved within 2–3 h of colony isolation.

Positioning systems are one of the key elements required by location-based services (LBS). As global positioning system (GPS) was never intended for indoor environments, indoor positioning systems based on wireless local area networks (WLAN) have been proposed as a viable solution. RADAR algorithm is one of the famous indoor positioning techniques. It uses a database of predetermined fingerprints for selected locations to estimate the location of a mobile user in the signal space. Another new proposed algorithm named the Enhanced Fingerprint (EFP) uses the same principle as RADAR algorithm but with more than one fingerprint per location. In this paper we investigated the location fingerprint based algorithms by taking RADAR and EFP with more details. We evaluated these two algorithms in terms of accuracy, reliability and computation time. Experiment results show that the EFP algorithm gains 1.82 m of accuracy over RADAR algorithm, while the last one saves 75% of computation time. We found that EFP algorithm is more consistent with varying number of training samples.