A5040166172- Advanced Chemical Sensor Technologies
- Recycling and Waste Management Techniques
- Microplastics and Plastic Pollution
- Gas Sensing Nanomaterials and Sensors
- Healthcare and Environmental Waste Management
- Water Quality Monitoring and Analysis
- Thermography and Photoacoustic Techniques
- Biosensors and Analytical Detection
- Analytical Chemistry and Sensors
University at Buffalo, State University of New York
2022-2024
Machine learning of the mid-infrared spectra postconsumer plastics will help prevent, separate, and purify wastestreams contributing to global pollution.
Abstract The use of hydrogen as an energy carrier will require low‐cost, low‐power sensors. Toward this goal, penta‐twinned palladium nanowires (Pd NWs) are synthesized and fabricated sensors from them by drop‐casting. Pd NWs drop‐cast onto interdigitated electrode (IDE) gave a response 0.3% to 1 vol.% H 2 , with recovery times 12 20 s, respectively. However, they exhibited negative (decreased resistance) at low concentrations. on paper substrate provided tenfold higher 10 s each, but still...
Standoff detection based on optical spectroscopy is an attractive method for identifying materials at a distance with very high molecular selectivity. can be exploited in demanding practical applications such as sorting plastics recycling. Here, we demonstrate selective and sensitive standoff of polymer films using bi-material cantilever-based photothermal spectroscopy. We that the selectivity technique sufficient to discriminate various polymers. also situ, point thin layers polymers...
Plastics are extremely valuable to our society and widely used in many industries such as food, beverage, textile, healthcare, automotive, aerospace, construction, agriculture, oil, etc. Since plastics do not degrade easily with time, the discarded pose a grave environmental problem. Only less than 10% of is recycled US. Therefore, there an urgent need increase recycling plastic products. At present, sorting waste carried out manually which time consuming, costly manual labor intensive. To...