Tiny Testing is an innovative nanotechnology-based testing technique for the rapid, accurate, and sensitive detection of trace amounts of contaminants in food, water, and other materials. This technique utilizes nanoscale particles, or nanosensors, to detect and monitor a wide range of chemical and biological contaminants. The nanosensors are designed to detect specific contaminants and generate an electrical signal as a result of their interaction with the target molecules. The signal can then be used to identify the presence of contaminants and determine their concentration. Tiny Testing has several advantages over traditional testing techniques. First, it is extremely fast and sensitive, allowing for the detection of trace amounts of contaminants in a fraction of the time required by conventional methods. In addition, the nanosensors are highly precise and specific, with the ability to detect different types of contaminants, even in complex matrices. Finally, the technique is inexpensive and easy to use, making it an attractive option for both industrial and home uses. The application of Tiny Testing is not limited to food and water testing, and is also being used to detect and monitor pollutants in air, soil, and other environmental samples. The technique is being used to detect a wide range of chemical and biological contaminants, including heavy metals, pesticides, herbicides, and other pollutants. By providing a fast and accurate way to detect and monitor contaminants, Tiny Testing can help ensure the safety of food and water supplies, as well as provide a cost-effective way to detect and monitor environmental pollutants.
Title : Circumventing challenges in developing CVD graphene on steels for extraordinary and durable corrosion resistance
Raman Singh, Monash University, Australia
Title : Evaluating cytotoxicity of metal-doped tin oxide nanoparticles
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Nanotechnology and polymers for sea and ocean sterilization using artificial intelligence with artificial intelligence-engineered nano-polymer membranes
Fadi Ibrahim Ahmed, Al-shujaa bin Al-aslam School, Kuwait
Title : Dual memory characteristics and crystallographic transformations in shape memory alloys
Osman Adiguzel, Firat University, Turkey
Title : Flexible fabric-based nanostructured color-generating film systems
Xinhua Ni, Guangzhou City University of Technology, China
Title : A broadband, angle-insensitive aluminium-based near infra-red absorber for protecting warfighters and sensitive optics technologies
Chayanika Baishya, Indian Institute of Technology Guwahati, India