Silver oxalate synthesis and nano silver preparation
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this study, parallel to the current level and the importance of nanomaterials, the basic knowledge of new nanotechnology techniques, especially the preparation of nanosilver, its characterization, properties and application areas are given. The synthesis, crystallization and structural analysis of precursor compounds used for the preparation of nanosilver were made. A new type of pink silver oxalate crystals encountered during the preparation of silver oxalate (Ag2C2O4) has been investigated whether it is a new polymorph structure. Opposite to the known silver oxalate structure, the synthesized new crystals are colored, in other words, they have light absorption in the visible range and this indicates the reduction of HOMO-LUMO band energy. The structure of crystals and the particles was investigated using optical microscope, FE-SEM, XRD, FT-IR and TEM analysis. As a result of photochemical decomposition of a new kind of pink colored Ag2C2O4 crystals, the formation of 5-50 nm nanosilver particles was observed using the TEM microscope.Keywords: nanotechnology, nanomaterials, silver oxalate, nano silver,photochemical decomposition.
Author
Zekerya Delice
Institution
How to Cite
Zekerya Delice (Master Thesis). Silver oxalate synthesis and nano silver preparation, 2011, Sakarya University, Kimya Bölümü.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Sakarya University
- Turkey according to the records of the House of Commons (1918-1922)(2011)
- Ömer Öngüt, his views and community through publications(2025)
- Mawlana Yaqub-i Charkhi And His tafsir(2024)
- Research of teachers' attitudes and self-efficacy perceptions towards distance education application(2024)
- Tiles in architect Vedat Tek's Istanbul buildings(2024)
- Financial performance evaluation and the relationship between stock returns: Hesitant Fuzzy AHP based approach(2020)
