12 research outputs found
Crowd Funding - A New Horizon
In present competitive world it is very difficult to give direction to your dream, thinking and ideas. The biggest hurdle is converting the idea in to reality is generating funds. Traditionally, entrepreneurs have relied on family, friends and associates for seed capital to launch their ventures. Presently banks, venture capital firms, other financial institutions and intermediaries really option for finance. Financial intermediaries play vital roles in mobilizing of funds and make important contributions for the economy. But still funding is needed to bear direct and indirect expenses, huge transaction costs etc. To bridge this recurring demand of funds, nowadays technologies have given entrepreneurs a plethora of new ways to make the dream in to reality. Crowd funding is one of the option amongst them. It is the process of raising money to project or business venture through many donors using an online platform
Fluorescent nanobiosensors for the targeted detection of foodborne bacteria
Foodborne diseases caused by bacterial pathogens are severe threats to human health. Conventional culture based microbiologic methods for the analysis of bacterial contamination in food products are laborious, time consuming and require specific skills. Immunologic and polymerase chain reaction (PCR)-based molecular methods are also costly, lack specificity, and may yield false results. As outlined in this review, fluorescent nanobiosensors have now become effective alternative tools for rapid and routine detection of foodborne bacteria. We provide an overview of the use of different fluorescent nanomaterials in the development of nanobiosensors with special emphasis on underlying detection principles, sensitivity, specificity, and their capability of multiplexed analysis. In summary, the diverse nanomaterials used for bacterial detection are critically analyzed with respect to their advantages and limitations for future applications in the diagnosis of foodborne bacteria
Fluorescent nanobiosensors for the targeted detection of foodborne bacteria
Foodborne diseases caused by bacterial pathogens are severe threats to human health. Conventional culture based microbiologic methods for the analysis of bacterial contamination in food products are laborious, time consuming and require specific skills. Immunologic and polymerase chain reaction (PCR)-based molecular methods are also costly, lack specificity, and may yield false results. As outlined in this review, fluorescent nanobiosensors have now become effective alternative tools for rapid and routine detection of foodborne bacteria. We provide an overview of the use of different fluorescent nanomaterials in the development of nanobiosensors with special emphasis on underlying detection principles, sensitivity, specificity, and their capability of multiplexed analysis. In summary, the diverse nanomaterials used for bacterial detection are critically analyzed with respect to their advantages and limitations for future applications in the diagnosis of foodborne bacteri
MOF–Bacteriophage Biosensor for Highly Sensitive and Specific Detection of <i>Staphylococcus aureus</i>
To
produce a sensitive and specific biosensor for <i>Staphylococcus
aureus,</i> bacteriophages have been interfaced with a water-dispersible
and environmentally stable metal–organic framework (MOF), NH<sub>2</sub>-MIL-53(Fe). The conjugation of the MOF with bacteriophages
has been achieved through the use of glutaraldehyde as cross-linker.
Highly sensitive detection of <i>S. aureus</i> in both synthetic
and real samples was realized by the proposed MOF–bacteriophage
biosensor based on the photoluminescence quenching phenomena: limit
of detection (31 CFU/mL) and range of detection (40 to 4 × 10<sup>8</sup> CFU/mL). This is the first report exploiting the use of an
MOF–bacteriophage complex for the biosensing of <i>S.
aureus</i>. The results of our study highlight that the proposed
biosensor is more sensitive than most of the previous methods while
exhibiting some advanced features like specificity, regenerability,
extended range of linear detection, and stability for long-term storage
(even at room temperature)