| Service Code | Service/Maintenance | Service Description |
|---|---|---|
| E16677000001000016 | Test service added by inode team 13052021 | Description |
| E15A4C000073000054 | ||
| EDFCEC000074000054 | ||
| 531A1D000075000054 | ||
| 12D6F2000128000054 | ||
| 09435C000129000054 | ||
| A08068000130000054 | ||
| F5C15E000183000054 | ||
| F14718000184000054 | ||
| 67F48D000185000054 | ||
| FC33F9000186000045 | Salt Fog Testing | To determine the effect of corrosion on the item |
| 53D3B7000191000054 | FAME -Analysis | Phenotypic Identification through FAME_ID for aerobic bacteria. Whole-Cell Fatty Acid Analysis. analyzing fatty acids from almost every type of matrix, including microbes, animal tissue, and marine organisms Includes: a) Qualitative Fame Report b) Phylogenetic tree, c) Dendrogram, d) 2D Plot, e) Histogram, f) NJ Tree, g) Rooted NJ Tree, h) Tracking, i) Cluster Program. Cyanobacteria (As it has a diverse range of fatty acids, so the PLFA method is the best choice to name as many as possible) |
| AEFC12000192000054 | FAME -Analysis | Phenotypic Identification through FAME_ID for anaerobic bacteria, Actinomycetes, Fungi and Yeast. Whole-Cell Fatty Acid Analysis. analyzing fatty acids from almost every type of matrix, including microbes, animal tissue, and marine organisms Includes: a) Qualitative Fame Report b) Phylogenetic tree, c) Dendrogram, d) 2D Plot, e) Histogram, f) NJ Tree, g) Rooted NJ Tree, h) Tracking, i) Cluster Program. Fatty acid composition (either all the fatty acids present in the sample, or specific fatty acids). Algae Analysis Cyanobacteria (As it has a diverse range of fatty acids, so the PLFA method is the best choice to name as many as possible) |
| 1A288A000193000054 | Direct- FAME -Analysis | Phenotypic Identification through FAME-dir ( Direct FAME) , Fatty acid composition (either all the fatty acids present in the sample, or specific fatty acids).Algae Analysis Phytoplankton, can characterize novel organisms required for publishing in competitive journals such as the IJSEM. The analysis provides a profile of fatty acid peak structure and relative percentages. Includes: a) Qualitative Fame Report b) Phylogenetic tree, c) Dendrogram, d) 2D Plot, e) Histogram, f) NJ Tree, g) Rooted NJ Tree, h) Tracking, i) Cluster Program. Fatty acid composition (either all the fatty acids present in the sample, or specific fatty acids). Algae Analysis Cyanobacteria (As it has a diverse range of fatty acids, so the PLFA method is the best choice to name as many as possible) |
| 473A6A000194000054 | Phospholipids Fatty Acid analysis (PLFA | Phospholipids Fatty Acid analysis (PLFA). Soil, Biochar, Compost, Etc analysis identifies fatty acids from the “living” microbial biomass, including arbuscular mycorrhizal fungi (AMF) hyphae. They serve as useful biomarkers to determine the living microbial types and abundance in the soil (e.g., branched chain fatty acids are a biomarker for Gram-positive bacteria). Includes: a) Qualitative PLFA Report b) Mole, c) BAT, d) FAT e) Chromatogram Fatty acid composition (either all the fatty acids present in the sample, or specific fatty acids). Cyanobacteria (As it has a diverse range of fatty acids, so the PLFA method is the best choice to name as many as |
| 12CF8C000195000054 | NLFA- Analysis | Neutral lipid fatty acids (NLFA) analysis identifies fatty acids from AMF spores. (mainly in the form of triglycerides) are an essential energy storage component of eukaryotic organisms. Neutral lipid fatty acids (NLFAs) are the main structural component of the neutral lipid molecule. In microbial community analysis, NLFAs are used to measure the abundance of arbuscular mycorrhizal fungi (AMF), the most widespread symbiont fungus, involved with 85% of land plants and many important crops. Includes: a) Qualitative PLFA Report b) Mole, c) BAT, d) FAT e) Chromatogram Fatty acid composition (either all the fatty acids present in the sample, or specific fatty acids). |
| 187449000196000054 | PLFA + NLFA analysis. | PLFA + NLFA analysis. AMF abundance can only be measured accurately Through PLFA + NLFA analysis, you can measure the “living” biomass, broad microbial community structure, and environmental stress impacts on soil in near real-time — meaning you can quickly measure the impact of various inputs on soil health. |
| 8B2823000197000054 | Bioburden Testing | Bioburden Testing |
| 8A13F0000198000054 | Identification of specific isolates (per isolate) | Identification of specific isolates (per isolate) |
| 2DEA9D000199000054 | Isolation of Specific Microbe | Isolation of Specific Microbe |
| BA73A8000200000054 | CFU Count | CFU Count |
| C3101C000201000054 | CFU Count | CFU Count |
| 38F606000202000054 | Permanent microscopic slides | Permanent microscopic slides |
| 221281000203000054 | Fatty Acid profiling of Cynobacteria,algae,yeast,biomass,biofuels and Omega 3s and Vegetable | Fatty Acid profiling of Cynobacteria,algae,yeast,biomass,biofuels and Omega 3s and Vegetable |
| 172930000204000054 | 16S rDNA | sequencing of Bacteria / Actinomycetes (from pure culture) |
| 94F64F000205000054 | 16S rDNA | Gene sequencing for Bacterial identification, the whole up to 1500-bp length |
| F1A3F8000206000054 | 16Sr RNA | 16Sr RNA Sequencing |
| 0BB2F0000207000054 | 18S rDNA | 18S rDNA sequencing of Fungi / Yeast (from Pure Culture) |
| 8BB6A7000208000054 | 18Sr DNA | 18Sr DNA Gene sequencing for Fungi / Yeast identification, the whole up to 1500-bp length |
| 0267CC000209000054 | 18Sr RNA | 18Sr RNA Sequencing |
| 752B12000210000054 | FAME +16S rDNA | Aerobic FAME +16S rDNA sequencing of Bacteria (from pure culture) Includes: a) Qualitative Fame Report b) Phylogenetic tree, c) Dendrogram, d) 2D Plot, e) Histogram, f) NJ Tree, g) Rooted NJ Tree, h) Tracking, i) Cluster Program |
| 85D08D000211000054 | 16S rDNA | 16Sr DNA Gene sequencing for Bacterial identification, the whole up to 1500-bp length |
| E80484000212000054 | FAME +16S rDNA | Actinomycetes FAME +16S rDNA sequencing of Bacteria, Actinomycetes (from pure culture) Includes: a) Qualitative Fame Report b) Phylogenetic tree, c) Dendrogram, d) 2D Plot, e) Histogram, f) NJ Tree, g) Rooted NJ Tree, h) Tracking, i) Cluster Program |
| 6162DC000213000054 | 16S rDNA | 16Sr DNA Gene sequencing for Actinomycetes identification, the whole up to 1500-bp length |
| 4E536D000214000054 | FAME +18S rDNA | Anaerobic FAME +18S rDNA sequencing of Bacteria, and Actinomycetes (from pure culture) Includes: a) Qualitative Fame Report b) Phylogenetic tree, c) Dendrogram, d) 2D Plot, e) Histogram, f) NJ Tree, g) Rooted NJ Tree, h) Tracking, i) Cluster Program |
| 619FC2000215000054 | 16S rDNA | 16Sr DNA Gene sequencing for Actinomycetes identification, the whole up to 1500-bp length |
| AD8D21000216000054 | PH (Soil) | PH (Soil) |
| C5E710000217000054 | EC (Soil) | EC (Soil) |
| D2E019000218000054 | Organic carbon (Soil) | Organic carbon (Soil) |
| 0F85FA000219000054 | Available N (Soil) | Available N (Soil) |
| B02C4B000220000054 | Available P (Soil) | Available P (Soil) |
| C05146000221000054 | Available K (Soil) | Available K (Soil) |
| 666F1F000222000054 | Available Zn (Soil) | Available Zn (Soil) |
| BC6228000223000054 | Available Cu (Soil) | Available Cu (Soil) |
| 89DB73000224000054 | Available Fe (Soil) | Available Fe (Soil) |
| 2ED599000225000054 | Available Mn (Soil) | Available Mn (Soil) |
| D81FBD000226000054 | Exchange Ca (Soil) | Exchange Ca (Soil) |
| 7B5A39000227000054 | Exchange Mg (Soil) | Exchange Mg (Soil) |
| 25EB6F000228000054 | Exchange Na (Soil) | Exchange Na (Soil) |
| 32CE68000229000054 | Total N (Plant) | Total N (Plant) |
| D6D310000230000054 | Total P (Plant) | Total P (Plant) |
| C329F6000231000054 | Total K (Plant) | Total K (Plant) |
| B4F1AD000232000054 | Total Ca Plant | Total Ca Plant |
| 5BF52B000233000054 | Total Mg Plant | Total Mg Plant |
| 061FA3000234000054 | Total Zn Plant | Total Zn Plant |
| 959D69000235000054 | Total Cu Plant | Total Cu Plant |
| 6C200A000236000054 | Total Fe (Plant) | Total Fe (Plant) |
| C28E52000237000054 | Total Mn (Plant) | Total Mn (Plant) |
| A06560000240000102 | CRM- CONTRACT RESEARCH MANUFACTURING | WE DO PROVIDE CRM SERVICES IN MICROBIOLOGY, MOLECULAR BIOLOGY, STRAIN ENGENEERING, EXPRESSION STUDIES, PROTEIN PURIFICATION, FERMENTATION UPSTREAM & DOWN STREAM PROCESS OPTIMIZATION. PRODUCT DEVELOPMENT. |
| CFA65F000241000096 | Antimicrobial Activity Profiling | Per samples (2 Gram positive Bacterium, 2 Gram Negative Bacterium & 2 Fungi) Upto 5 -7 Concentrations + Positive Control & Negative Control |
| DB6FA3000242000096 | Gas Chromatography–Mass Spectrometry (GC-MS) Analysis of Samples | From Raw Sample to Analysed Results |
| DC4968000243000096 | Liquid Chromatography–Mass Spectrometry (LC-MS) Analysis of Samples | From Raw Samples to Analyzed Results |
| C2F7B0000244000045 | Cold Temperature Testing | |
| CC2C75000245000045 | High Temeperature Testing | |
| 139C4A000246000132 | RNA sequenicing | RNA QC RNA Library preparation Sequencing using Illumina PE150, (~8-9 GB /sample), Q30>80% and Bioinformatics Analysis |
| C3CD92000247000117 | NGS-02-Txom | Transcriptome sequencing service : RNA Sequencing : Includes RNA QC ,RNA Library preparation ,Sequencing using Illumina PE150, (~8-9 GB /sample), Q30>80% and Bioinformatics Analysis. |
| 3A0D70000253000147 | Cytotoxicity study using MTT assay | |
| 4A826E000254000147 | Cytotoxicity study using LDH leakage assay | |
| DE6D25000258000170 | High-fidelity topology optimization [CHAOS Numerics] | CHAOS Numerics offers high-fidelity structural and thermo-fluid topology optimization as a SaaS model on the cloud. We deploy HPC-ready CPUs from Microsoft Azure to perform large-scale computations. Access topology optimisation in high-fidelity on up to 1000s of MPI processes. |
| DB82B8000259000171 | Nanotechnology Workshop training | Hands on training on nano material and device simulation using RESCU and NanoDCAL Software |
| 7EFBF4000264000181 | Electric Vehicle Design | |
| 79C602000265000184 | Hire with Edubild AI - Your Talent Aquisition Partner | At Edubild, we're redefining the recruitment process with our groundbreaking AI Interviewer, Askey. Askey is designed to streamline the initial screening stages of hiring, ensuring that you can effortlessly shortlist the most suitable candidates for your clients. Here’s how Askey can transform your hiring approach: 1) AI Job Interviews: Leverage Askey, our AI interviewer, to conduct preliminary screenings. Efficiently shortlist candidates based on objective, data-driven insights. 2) 360° Overview of Candidates: Access detailed profiles that include Interpersonal skills, skill assessments, interview performances, and employability scores, from the very first interaction. 3) Recruitment Dashboard: Utilize our intuitive dashboard to manage and analyze your recruitment process. Make informed decisions with real-time data at your fingertips. 4) Custom Job Interviews: Adapt our AI interviewer, Askey, to align with the unique criteria and skills required for your job role. This ensures a highly efficient and targeted candidate screening process, attuned to your specific hiring requirements. |
| A7C450000266000184 | AI Powered Skill Mapping & Placement Assistance for Institutions | Edubild’s platform equips students with AI-driven mock interviews, personalized career guidance, and skill assessments, ensuring they are not just educated but truly job-ready. Partner with us to transform your students' potential into success, giving them a competitive edge in their career journey Our Features: 1) Our AI Mock Interview Practice: Empowers candidates with realistic interview simulations, providing invaluable feedback and improvement suggestions. 2) Skill Assessment Tests: Evaluates over 100 skill sets, helping candidates certify and showcase their competencies. 3) AI-Generated Resumes: Facilitates the creation of professional resumes tailored to individual profiles and career aspirations. 4) Psychometric Assessment: Offers insights into candidates' communication, teamwork, and leadership abilities. 5) AI-Powered Career Guidance: Provides personalized career advice, guiding students effectively along their career paths. 6) Enhancing Placement Records: Equips Educational institution with data to focus on students' pain points, significantly improving their chances in the job market. 7) Jobs and Experienships: A portal to access a wide range of job openings and unique Experienships (project-based internships). Enabled with easy Application procedure and connects with potential employers through our platform. |
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With the number of institutions of higher education in the country growing rapidly,
there has been a concomitant increase in the numbers of academics and other professionals
engaged in research and development. They need adequate and upto-date facilities - or access to
such facilities - to engage in meaningful R&D efforts. Though various agencies of the
Government fund the acquisition of equipment and establishment of laboratories,
it is the efficient utilization of such facilities that enables high productivity in R&D.
Towards this goal, I-STEM is a novel, thoughtful, and greatly empowering concept,
as it aims to provide all aspiring and qualified researchers access to public-funded facilities
in the country in a transparent and convenient manner through a WebPortal.
In addition to hosting a database of facilities in all parts of the country,
the Portal is expected to become the gateway through which reservations to
use equipment can be made in a manner convenient to the user and the custodian
of a given facility. ln addition, it will become possible for users to consult
experts in various fields to be empanelled. I hope and expect that the I-STEM
project and Portal will enable researchers everywhere in the country to explore
their unique ideas, secure in the assurance that they can gain access to the
required facilities through I-STEM. I expect that this unique initiative will
spread the spirit of collaboration and cooperation among the R&D community in the country,
taking us further along the road to innovation, prosperity, and wellbeing.
The Department of Science and Technology (DST) has been an agency of long standing in funding R&D and innovation, primarily in academic and research institutions across the country. In addition to providing grants to investigators for meritorious proposals, DST has been a major source of funding building of R&D infrastructure in the country’s academia via a number of schemes: FIST (Funds for Infrastructure in Science and Technology), PURSE (Promotion of University Research and Scientific Excellence), SAIF (Sophisticated Analytical Instrument Facilities), and the newest SAIF-like program, SATHI (Sophisticated Analytical and Technical Help Institute), and through thousands of research projects and a plethora of Centres of Excellence.
Through several “rounds” of FIST and PURSE, projects and Centres, substantial R&D infrastructure has been established in a large number of institutions in the country.
However, such facilities are not easily and universally accessible to researchers in institutions with less R&D focus and to industry (including MSMEs) and start-ups. The various SAIFs across the country are meant to provide access to analytical facilities to all – from the academia, as well as industry. Indeed, over the years, tens of thousands of researchers from institutions big and small, and from industry, have benefited from the SAIFs.However, with a rapid expansion of our S&T ecosystem and increasing emphasis on R&D programs, there is still an unmet need for ever more S&T infrastructure, including a variety of specialized instruments, from analytical testing to fabrication to research resources. Hence, it is highly desirable and hugely beneficial if the existing infrastructure, in its period of latency, is shared with transparency and ease of access. Equipment, even when not used extensively, becomes obsolete. They also often require resources for maintenance and manpower. Sharing of our resources addresses these twin problems while making our investments more effective. Active and regular sharing of S&T facilities also activates the latent scientific manpower which resides in the remote regions, and in the smaller and less endowed institutions.
The I-STEM web portal (Indian Science, Technology, and Engineering facilities Map) addresses this vital need directly, by enabling a transparent and convenient way to list and share public-funded R&D facilities with researchers who need to use them, from anywhere across the country. This portal is a live inventory of sharable resources, which should aid in the planning of our current research projects, as well as provide an evidenced-based roadmap for the future expansion of public-funded facilities. I-STEM portal allows for online scheduling of time to use a facility, and for secure online payments that help partially defray the cost. Just as importantly, the I-STEM program has the potential to promote cooperation and collaboration among researchers, leading to outcomes beneficial to the growth of science, technology, and innovation.
I therefore urge all institutions and researchers to abide by the Government’s mandate to list R&D facilities in their labs, groups, and centres on the I-STEM portal, and to share them for the benefit of all the stakeholders of S&T in the nation. It’s indeed both our individual and collective Scientific Social Responsibility to do so!
It has been felt for some time that facilities in our academic institutions and national labs, acquired or established through government funding, should be made available to a wider community through a web portal. We have experience in this context with large facilities like the Synchrotron radiation sources, Indus-1 and Indus-2 at RRCAT and the nanoelectronics centres in IISc Bangalore and IIT Bombay. The CeNSE Bangalore also has experience in creating a regional portal for advanced facilities and is best equipped to establish the Indian Science Technology and Engineering facilities Map (I-STEM), which will provide details of equipment/facilities, which could be used by students, researchers and other legitimate users through an on-line reservation system. This web-based portal will need to be constantly updated. I am sure that I-STEM will be a great success and will be widely used.
It seems only appropriate that CeNSE, which emerged from an earlier initiative of the Office of the Principal Scientific Adviser, is now being accorded the privilege of being the host to the I-STEM Web Portal. Our Centre was conceived and established as a national resource, and its facilities have been formally open for use by academic researchers from around the country through the Indian Nanoelectronics Users Program (INUP), supported strongly by MeitY, Govt. of India. In its tenth year now, INUP has been a great success. Under INUP, hundreds of researchers have received hands-on training in CeNSE facilities, in which they have carried out sophisticated research projects that have resulted in PhD theses, publications in international journals and conferences, and numerous patent filings. Through I-STEM, the INUP is now being infused into publicly-funded facilities everywhere in the country. We are confident that the sharing of facilities and the spirit of collaboration underlying I-STEM will enhance R&D productivity in the country.