Printable surface enhanced Raman scattering strips on paper with in-situ growth of gold nanoparticles
| Autor: | Wei-Ju Liao, 廖偉汝 |
|---|---|
| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 Surface enhanced Raman scattering (SERS) is being developed to challenge and compete with existing conventional technologies used for biomolecular sensing such as fluorescence and mass spectroscopy. SERS retains the molecular fingerprint of Raman spectroscopy (RS) but improves upon the inherent low scattering cross-section in RS with the help of metal nanoparticles (NPs). However, spectroscopic techniques, such as SERS, requires specialized substrates, skills and controlled laboratory environments which are generally expensive, nearly always complex and in many ways time consuming. To increase the visibility of SERS in common daily usage in drug administration offices, homeland security, or hospitals, we introduce the SERS strips to lessen the burden of technology built-in the process that we believe could make it more competitive with other techniques for similar purposes. SERS strips are printed, via a common ink-jet printer connected to a computer, on paper with in-situ growth of gold nanoparticles (AuNPs). Components of human sweat were used as a bio-ink to reduce HAuCl 4 (gold containing salt) forming the AuNPs on paper. Plasmons generated in these AuNPs when irradiated with suitable light increase the local electric field and in turn the scattering cross-section for Raman scattering of selected analytes. SERS strips are capable of absorbing analyte molecules readily and firmly. We demonstrate the detection of Rhodamine 6G, a standard Raman analyte, Malachite green, an anti-fungal agent in pisciculture, and Iprodione, a pesticide in fruits and vegetables, at different concentration levels, ranging from μM - nM, on these strips to show its efficacy in sensor applications. Development of this inexpensive SERS strips for detection of toxic chemical will be important for health applications. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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