Radiofrequency Glow Discharge as a Mode of Disinfection for Elastomeric Impression Materials.

INTRODUCTION: Prosthodontic practice involves procedures in which impressions of the maxillary and mandibular arches are mandatory. Cross infection is one of the major problems that can occur in regular dental practice. Every dentist should take utmost care to prevent cross infection as oral cavity is the source of variety of microorganisms which can often cause diseases that can be fatal. Although precautions, such as wearing of gloves and mask, sterilization of instruments are given importance, the need for disinfection of impressions is often neglected. Hence, the aim of the study was to assess the disinfection potential of radiofrequency glow discharge (RGD) by microbiological studies. MATERIALS AND METHODS: Disinfection potential of RGD on addition silicone (Reprosil, Dentsply, Milford DE, USA) was assessed. Total sample size was 20. Samples were divided into two groups of 10 each. Group I - control group and group II -RGD-treated group. Main groups were subdivided into subgroups A and B. Data collected were analyzed. RESULTS: The RGD-treated samples were found to be culture sterile which meant that there were no signs of growth of any organisms, thus proving the disinfection potential of RGD. CONCLUSION: From this study, we can conclude that RGD is a very rapid and handy device, which can disinfect saliva contaminated elastomeric impression material surfaces. CLINICAL SIGNIFICANCE: When compared with the difficulties and lack of efficiency encountered in disinfecting impressions by immersion and spray atomization, RGD can be very handy in dental clinics, as it is a very rapid and convenient method for infection control.

A cost effective method for the preparation of sodium fluoride [18F]NaF for PET-CT imaging by using an in-house designed module.

We report the development of a manual module for the preparation of [18F]NaF for metastatic bone cancer imaging. By using this simple module, [18F]NaF production can be carried out inexpensively without using commercially available kits. The module can be used for making [18F]NaF from freshly irradiated H218O water or with left over activity in the target after [18F]FDG production. The product meets all quality control parameters.

Analysis of diversity amongst widely distributed and endemic Atalantia (family Rutaceae) species from Western Ghats of India.

The genus Atalantia Correa is represented in India with four species and two varieties. The infra - generic classification and the species limits in Atalantia are, however, not well defined, due to the occurrence of intermediate forms. Two species, A. racemosa Wight and A. monophylla (L.) DC., are widely distributed, while the third species, A. wightii Tanaka is endemic in the Western Ghats, a well-known biodiversity hotspot. PCR-based methods have been commonly used for the assessment of genetic diversity in plants. We report for the first time the genetic diversity within and between populations of the above three species using two Single Primer Amplification Reaction (SPAR) methods. AMOVA analysis clearly indicates the lesser diversity among the species than within them. The UPGMA tree included all of the doubtful species in one single sub-cluster within the major cluster of A. racemosa and A. wightii, suggesting that these are probably hybrids derived from these two species. At the population level, all A. monophylla populations grouped together in a cluster that was clearly separated from all other species and populations.

Expression of an insecticidal fern protein in cotton protects against whitefly.

Whitefly (Bemisia tabaci) damages field crops by sucking sap and transmitting viral diseases. None of the insecticidal proteins used in genetically modified (GM) crop plants to date are effective against whitefly. We report the identification of a protein (Tma12) from an edible fern, Tectaria macrodonta (Fee) C. Chr., that is insecticidal to whitefly (median lethal concentration = 1.49 µg/ml in in vitro feeding assays) and interferes with its life cycle at sublethal doses. Transgenic cotton lines that express Tma12 at ∼0.01% of total soluble leaf protein were resistant to whitefly infestation in contained field trials, with no detectable yield penalty. The transgenic cotton lines were also protected from whitefly-borne cotton leaf curl viral disease. Rats fed Tma12 showed no detectable histological or biochemical changes, and this, together with the predicted absence of allergenic domains in Tma12, indicates that Tma12 might be well suited for deployment in GM crops to control whitefly and the viruses it carries.

A fuzzy guided genetic algorithm for operon prediction.

MOTIVATION: The operon structure of the prokaryotic genome is a critical input for the reconstruction of regulatory networks at the whole genome level. As experimental methods for the detection of operons are difficult and time-consuming, efforts are being put into developing computational methods that can use available biological information to predict operons. METHOD: A genetic algorithm is developed to evolve a starting population of putative operon maps of the genome into progressively better predictions. Fuzzy scoring functions based on multiple criteria are used for assessing the 'fitness' of the newly evolved operon maps and guiding their evolution. RESULTS: The algorithm organizes the whole genome into operons. The fuzzy guided genetic algorithm-based approach makes it possible to use diverse biological information like genome sequence data, functional annotations and conservation across multiple genomes, to guide the organization process. This approach does not require any prior training with experimental operons. The predictions from this algorithm for Escherchia coli K12 and Bacillus subtilis are evaluated against experimentally discovered operons for these organisms. The accuracy of the method is evaluated using an ROC (receiver operating characteristic) analysis. The area under the ROC curve is around 0.9, which indicates excellent accuracy. CONTACT: roschen_csir@rediffmail.com.