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Microbial Identification System
The Sherlock MIS is the most rapid and automated microbial identification system available today, which can identify bacteria, fungi and yeast in: Animal Science Biodefence Biopharmaceutical QC Bioremediation Clinical Diagnosis Dental Research Entomology Epidemiology Marine Science Medical Microbiology Plant Pathology Soil Science Taxonomy Studies Community Analysis Features: Rapid Identification within 15 min CDC-NIOSH Clear fully automated and easy-to-use Large Environmental Libraries IQ/OQ and 21CFR Part 11 supports Standardized procedure Low cost (Rs 28/sample) Identify non-microbial compounds Inexpensive consumables Custom Library generation Excellent reproducibility Advanced strain tracking and analysis tools No biochemical kits/cards needed Durable Agilent GCs. Over 200 samples per day throughput
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Sherlock DNA Sequencing Software
Sherlock DNA Sequencing Software is something that we export, trade and supply. This software is used for analyzing and identifying fatty acid methyl ester (FAME) as well as microbes that are based on 16S28S rRNA gene sequence. Sherlock DNA starts when DNA sequencer leaves off having textual consensus sequencing. The best advantage of this software is that it can be used with sequencers sourced from any of the vendors. 16S identification is a technique that is static in nature and provides results without compromising on the growth conditions. One can compare the samples with one another using Sherlock DNA with result that is displayed in a number of forms. The sequence alignment tools and familiar neighbor joining trees are the two forms of results. A new type display is developed by MIDI. Accurate Root Neighbor Joining Tree is a form of result finding that compares an unknown sample in between the group of samples. Key driving features of these products include: Full integration with MIDI's Sherlock Software Validated libraries for bacterial ID (500bp and full gene 16S) Combined reporting of DNA-FAME results DNA analysis tools for direct comparison of DNA samples Any DNA sequencer vendor can be used Validated libraries for fungiyeast ID (500bp 28S) Custom DNA library development tools
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FAME Analysis
FAME (Fatty Acid Methyl Ester) analysis is a phenotypic approach and the only commercially available microbial identification system that uses Cellular Fatty Analysis by Gas Chromatography (GC-FAME). Researchers have identified microbes using gas chromatography analysis of cellular fatty acids (GC-FAME) for half a century. For 25 of those years, so has the Sherlock MIS. In fact, there is no other commercially-available identification system today that has been able to harness this reliable, time-tested technology. It includes FAME Analysis of: 1. Aerobic bacteria 2. Anaerobic bacteria 3. Yeast culture 4. Fungi This analysis can be used in the following range for identification: Pharma Agriculture Research Animal Science Biodefense Bioremediation Clinical Diagnosis Marine Science Medical Microbiology Plant Pathology Soil Science and other areas where microbial identification is important
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edible oil testing
Oils acts as a vehicle to carry the soluble vitamins, nutrients, anti-oxidants to the body. On the basis of these recommendations there are 3 parameters to adjudge any oil as healthy oil. 1. Ratio of saturatedmono saturatedpolyunsaturated fatty acid ,ratio of essential fatty acids (omega6omega3) and presence of natural antioxidants. 2. It is now widely accepted that what the human body needs is a ratio varying from 5:1 to 10:1 of omega 6 to omega 3.The ratio of polyunsaturated fatty acid (PUFA) and saturated fatty acids (SFA) should be between 0.8 to 1.0 We provide service of measuring physio chemical properties of oils: Iodine value Acid Value Saponification Peroxide Value Detecting of Carbon atoms and fatty acid analysis of oils
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Microbial Screening
Our Microbial Screening And Miscellaneous Services are as follows: 1. Enumeration: Total viable count (Total Coliforms E.coli Enterobacteriaceae Staph. aureus) 2. Staining: Gram positive Gram negative(Bacillus Yeast and Mold Anaerobes) 3. Pathogen Screening: Salmonella E.coli 0157 Listeria Listeria monocytogenes Campylobacter Staph enterotoxins 4. Sterility Testing: Aerobic Anaerobic Bacteria and Fungi Lactic acid bacteria 5. Complete Analysis of Water 6. Bioburden 7. Polyphasic Report match with fame & DNA on DNA Sherlock Software
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colony Forming Unit
colony-forming unit (CFU or cfu) is a measure of viable bacterial or fungal cells. In direct microscopic counts (cell counting using haemocytometer) where all cells, dead and living, are counted,but CFU measures only viable cells. For convenience the results are given as CFU/mL (colony-forming units per milliliter) for liquids, and CFU/g (colony-forming units per gram) for solids. CFU can be calculated using miles and misra method, it is useful to determine the microbiological load and magnitude of infection in blood and other samples.
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Genomic Services
We are Importer & Distributor of the following Genomic Services: 18S rDNA sequencing of fungi 16S rDNA sequencing of Bacteria 16S rDNA sequencing of Actinomycetes Yeast Sequencing of Virus only if PCR product is the given sample G+C Content Phylogenic tree analysis 16s rDNA if PCR product is given sample 500-1500 bp ( repeated reaction) Algae identification (400-800bp fragment of 16srDNA)
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Complete Soil Analysis
Soil bacteria and fungi play pivotal roles in various biogeochemical cycles and are responsible for the cycling of organic compounds.Soil microorganisms also influence above-ground ecosystems by contributing to plant nutrition, plant health, soil structure and soil fertility. We provide the fallowing services: Analysis of Microbial diversity in Soil C- analysis of soil Quantification of biomass in the soil
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