Background and Aim: Foodborne illnesses are a serious challenge to human health and the economic sector. For example, salmonellosis remains a burden in developed and developing nations. Rapid and reliable molecular methods to identify Salmonella strains are essential for minimizing human infection. This study aimed to identify Salmonella spp. in raw milk and dairy products using conventional and molecular techniques and to test the antibiotic susceptibility of the isolated strains. Materials and Methods: One hundred and thirty-one milk and dairy product samples were randomly collected from different localities in Libya. Samples were examined for the presence of Salmonella by conventional culture techniques, including cultivation in Rappaport-Vassiliadis broth and streaking on xylose lysine deoxycholate agar. Identification also used polymerase chain reaction and partial sequencing of 16S rDNA. Twenty-four antibiotics were used for the examination of antimicrobial resistance of Salmonella spp. isolates with the agar disk diffusion method (Kirby–Bauer technique). Multi-antibiotic resistance index and antibiotic resistance index (ARI)for Salmonella enterica isolates were calculated. Results: Twenty-one of 131 samples (16%) were positive for Salmonella spp. recovered from 9 (16%), 2 (11%), 4 (22.2%), and 6 (46%) samples of raw cow milk, fermented raw milk, and fresh locally made soft cheeses, Maasora and Ricotta), respectively. Samples of ice cream, milk powder, and infant formula showed no Salmonella spp. contamination. Only 9 of 21 (42.8%) isolates were confirmed as S. enterica by partial sequence 16S rDNA analysis. All isolates were resistant to amoxycillin, bacitracin, penicillin G, lincomycin, vancomycin, clindamycin, and cloxacillin with an ARI of 0.042. In contrast, all tested strains were sensitive to levofloxacin, doxycycline, and ciprofloxacin. In addition, all of the tested isolates (100%) were resistant to more than one antibiotic. Conclusion: This study demonstrated the applicability of molecular techniques, compared with conventional methods, as preferable for the identification of Salmonella in milk and dairy products and thus reduction of milk-borne transmission to the consumers. From the view of public health, isolation and identification of Salmonella multidrug-resistant strains from raw cow's milk and locally prepared dairy products sold in the Libyan markets indicate the need to improve the handling and processing of milk and dairy products to minimize the prevalence of Salmonella, one of the most important foodborne microorganisms that cause food poisoning.
Ibrahim Eldaghayes(5-2022)

Front fetlock joint angle (FA) measurement might predict musculoskeletal injury. This study aimed to identify an accurate reliable tool, and develop a consistent method for measuring the FA. Fetlock centre of rotation was identified radiographically. Goniometer measurements were validated on ten vertically fixed post-mortem distal forelimbs by positioning the centre of rotation of the goniometer on the approximate centre of rotation of the joint for five measurements of each FA at three day intervals and one measurement by another person (rater B). Both FA’s of fourteen sound horses standing squarely on a concrete floor were repeated before and after lifting the contralateral limb, which was flexed at the carpus and held at the same level as the carpus of the standing limb. Consistency of measurements was assessed using both fetlock joints of five horses standing squarely on a concrete floor measured six times in random order and then with the contralateral limb lifted using both front fetlocks of eight horses measured five times in random order. The repeatability coefficient was calculated with WinPepi v10.5 software. The centre of rotation was on or around the eminence of the lateral collateral ligament. The repeatability coefficient of the goniometer validation was 4.7°. The mean FA for rater A and B were not significantly different (161.4° versus 162.9°). FA’s were significantly less after lifting the contralateral limbs (P
Abdulrhman M. Alrtib, Helen M S Davies(7-2012)

Abstract As little is known about the blood profile of camels in libya, this article is the second of a 4-part series describing the biochemical and haematological blood profile in Libyan camels. In Part 1 of these manuscripts, the overall blood biochemical and haematological mean values of camels in Libya were determined, parts 2-4 evaluates the effects of breed, gender and age respectively on these values. Blood samples were collected from three camel breeds, namely, Fakhreya, Sirtaweya and Mahari, and the levels of enzymes, metabolites, electrolytes and haematological indices were measured. The blood of the Sirtaweya breed showed (i) higher levels of aspartate aminotransferase (AST), albumin and Phosphorus (Ph), than the other two breeds, (ii) higher levels of lactate dehydrogenase (LDH), amylase (AMS) and total proteins than the Fakhreya breed and (iii) higher levels of glucose, triglycerides, total cholesterol, Very Low Density Lipoprotein (VLDL), Low Density Lipoprotein (LDL), Calcium (Ca), Packed Cell volume (PCV), Mean Corpuscular Volume (MCV) and Albumin/Globulin (A/G) ratio than the Mahari breed. The Fakhreya breed had (i) higher levels of urea, Iron (Fe), Haemoglobin (Hb), Mean Corpuscular Haemoglobin (MCH) and neutrophils number than the other two breeds, (ii) higher levels of glucose, A/G, LDL, Ca, PCV, MCV and monocytes number than the Mahari breed and (iii) higher levels of erythrocyte osmotic fragility, MCH and Mean Corpuscular Hemoglobin Concentration (MCHC) than the Sirtaweya breed. The Mahari breed had (i) higher levels of globulin than the other two breeds, (ii) higher levels of AMS than the Fakhreya breed and (iii) higher levels of erythrocyte osmotic fragility, Erythrocyte Sedimentation Rate (ESR), MCHC than the Sirtaweya breed. The tested blood parameters in the three Libyan breeds in this study were affected by breed variations. arabic 28 English 143
Anwar Mustafa Abdalhadi Abdalmula, F. A. Alnagar, Amal Omar Elarif Buker, Fathia mahmoud Mohammad Ashour, I. M. Abograra , Mansur Ennuri Moftah Shmela(10-2018)