Chitosan Capped Silver Nanoparticles as Colorimetric Sensor for the Determination of Iron(III)
Publish Year: 1396
Type: Journal paper
Language: English
View: 213
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_ANALCH-4-2_006
Index date: 4 February 2023
Chitosan Capped Silver Nanoparticles as Colorimetric Sensor for the Determination of Iron(III) abstract
A selective, simple and low-cost method for the colorimetric determination of Fe3+ ions based on chitosan capped silver nanoparticles (Chit-AgNPs) was presented. Chitosan is a cationic polyelectrolyte and possesses amino and hydroxy groups which make it widely used as a capping agent for Ag NPs. The synthesized chitosan capped silver nanoparticles with excellent colloidal stability were characterized by UV–Visible spectrometry, transmission electron microscopy, Fourier transform infrared, X-ray diffraction. Chit-AgNPs exhibit a strong surface plasmon resonance band which disappears in the presence of increasing concentrations of Fe3+ ions. This system showed a visually detectable color change from brownish-yellow to colorless for the selective determination of Fe3+. The method can be applied for the determination of Fe3+ ions in the concentration range of 1.0×10-6 to 5.0×10-4 M. The detection limit was determined from three times the standard deviation of the blank signal (3σ/slope) as 5.3 × 10−7 M. The developed method was successfully applied for the determination of Fe3+in real samples
Chitosan Capped Silver Nanoparticles as Colorimetric Sensor for the Determination of Iron(III) Keywords:
Chitosan Capped Silver Nanoparticles as Colorimetric Sensor for the Determination of Iron(III) authors
Javad Tashkhourian
Department of Chemistry, Faculty of Sciences, Shiraz University, Shiraz, ۷۱۴۵۴, Iran
Omid Sheydaei
Department of Chemistry, Faculty of Sciences, Shiraz University, Shiraz, ۷۱۴۵۴, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :