RAPD Characterization of Pseudomonas species identified from clinical samples

Pseudomonas aeruginosa is the most common dreadful pathogenic gram negative bacilli responsible for nosocomial infections among hospital patients especially in developing countries. In the present study P. aeruginosa isolated from various clinical samples and evaluated for their variability and genetic relationship using PCR based Randomly Amplified Polymorphic DNA (RAPD) technique. A total of 30 different samples from patients with wounds, ear infection, respiratory tract, nasal infection and urine infection were collected from various hospitals and diagnostic centers in Bangalore. The samples included pus swabs, wound discharge, sputum and blood. These samples were subjected to P. aeruginosa isolation using selective media and characterization using biochemical tests. Further genetic relationship was determined using RAPD technique. A total of 7 were isolated and characterized biochemically and identified belonging to P. aeruginosa. Cluster analysis and phylogenetic tree reveal close relatedness between P. aeruginosa strain P1, P3, P4, P5 and P6 but distantly related to the P2 and P7. This indicates that the infection due to P. aeruginosa is caused by diverse as well as closely related clones circulating in the study health care centers. This demands further investigation through prospective studies with a larger number of patients. This will aid suggesting efficient and sustained control measures and antibiotic policy in study are

RAPD Characterization of Pseudomonas species identified from clinical samples

Pseudomonas aeruginosa is the most common dreadful pathogenic gram negative bacilli responsible for nosocomial infections among hospital patients especially in developing countries. In the present study P. aeruginosa isolated from various clinical samples and evaluated for their variability and genetic relationship using PCR based Randomly Amplified Polymorphic DNA (RAPD) technique. A total of 30 different samples from patients with wounds, ear infection, respiratory tract, nasal infection and urine infection were collected from various hospitals and diagnostic centers in Bangalore. The samples included pus swabs, wound discharge, sputum and blood. These samples were subjected to P. aeruginosa isolation using selective media and characterization using biochemical tests. Further genetic relationship was determined using RAPD technique. A total of 7 were isolated and characterized biochemically and identified belonging to P. aeruginosa. Cluster analysis and phylogenetic tree reveal close relatedness between P. aeruginosa strain P1, P3, P4, P5 and P6 but distantly related to the P2 and P7. This indicates that the infection due to P. aeruginosa is caused by diverse as well as closely related clones circulating in the study health care centers. This demands further investigation through prospective studies with a larger number of patients. This will aid suggesting efficient and sustained control measures and antibiotic policy in study are

A ZIF-67 derived Co 3 O 4 dodecahedron shaped microparticle electrode based extended gate field-effect transistor for non-enzymatic glucose detection towards the diagnosis of diabetes mellitus

The present study focuses on non-enzymatic glucose detection using an extended gate field-effect transistor (EGFET) based on zeolitic imidazole framework-67 (ZIF-67) derived cobalt tetraoxide (Co3O4) dodecahedron shaped microparticles. XRD has confirmed the cubic phase of Co3O4. HR-SEM images have highlighted hollow Co3O4 dodecahedra with an average particle size of 1.72 mu m. A cost-effective single-use ZIF-67 derived Co3O4 electrode has been fabricated that covers the range of glucose concentration from 1.5 mM to 42 mM (linear range: 1.5 to 10.5 mM) and has a fast response time of <4 s. The sensitivity is calculated to be 50 mu A mM(-1) cm(-2). Our prepared electrode has demonstrated a good selective response against other interfering molecules like sucrose, lactose, fructose, uric acid, and ascorbic acid. The concentration of the interfering molecules is maintained similar to the physiological conditions of human blood. As a maiden attempt, the influence of glucose concentration on the surface potential of the sensing electrode has been investigated using a scanning Kelvin probe (SKP). We have found that the work function decreases with the increase of glucose concentration. Overall, EGFET and SKP studies have revealed that the ZIF-67 derived Co3O4 dodecahedron shaped microparticle based electrode is suitable for rapid detection of glucose