TY - CONF A1 - Nerger, Tino A1 - Neumann, Patrick P. A1 - Weller, Michael G. T1 - Passive Smart Dust zur Erkennung gefährlicher Stoffe N2 - Einsatz/Verteilung kostengünstiger und umweltfreundlicher Partikel als passive Sensoren und optische Detektion per Kamerasystem. Die einfache Modifikation chemischen Farbstoffe auf der Partikeloberfläche liefert eine optisch quantifizierbare Reaktion und Rückschlüsse auf die Zielsubstanzen. T2 - Lange Nacht der Wissenschaften @ BAM 2023 CY - Berlin, Germany DA - 17.06.2023 KW - Passive Smart Dust KW - Drohne KW - Kolorimetrische Sensoren KW - Cellulose PY - 2023 AN - OPUS4-58140 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nerger, Tino A1 - Neumann, Patrick P. A1 - Weller, Michael G. T1 - Passive Smart Dust Localization of Hazardous Chemicals N2 - Use/distribution of cost-effective and biocompatible pieces of cellulose paper as passive optical chemosensors and readout by the camera system. Modification of the paper surface using various chemically sensitive dyes (indicators) provides an optically detectable reaction and conclusions about the target substances and precise location. T2 - 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) CY - Grapevine, Texas, USA DA - 12.05.2024 KW - Indicator KW - Passive Smart Dust KW - Drone KW - Colorimetric Sensor KW - Cellulose KW - Confetti PY - 2024 AN - OPUS4-60175 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nerger, Tino A1 - Neumann, Patrick P. A1 - Weller, Michael G. T1 - Drone-based Localization of Hazardous Chemicals by Passive Smart Dust T2 - 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings N2 - We introduce a passive smart dust concept as a novel solution for environmental monitoring. Utilizing chemical reagents like colorimetric indicators and other chemosensors, these particles detect varying environmental conditions. We developed paper-based sensors that are both cost-effective and eco-friendly. In practical tests, these sensors, dispersed over a designated area, successfully identified hazardous substances by changing their color when exposed to acids or bases. This color change was remotely detectable using a drone-mounted color camera. The data thus obtained was processed through specialized software, accurately pinpointing areas of contamination. This method proves the efficacy and scalability of passive smart dust technology for real-time, environmentally sustainable remote sensing of hazardous materials T2 - 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) CY - Grapevine, Texas, USA DA - 12.05.2024 KW - Indicator KW - Passive Smart Dust KW - Colorimetric Sensor KW - Drone KW - Cellulose KW - Environmental Monitoring KW - Confetti KW - Hazard Detection PY - 2024 SN - 979-8-3503-7053-9 VL - 1 SP - 1 EP - 3 PB - IEEE CY - Piscataway, NJ 08855-1331 USA AN - OPUS4-60176 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -