Anuncio
relacionado con: polyester ftir spectrumExpertise On Every Level To Craft Science & Technology Solutions In Life Science. Solving Problems In Life Science By Collaborating With the Global Scientific Community.
Services:
- Sign In
Sigma® Life Science
View contract pricing, get quotes
- Analytical/Chromatography
Browse our Analytical Reagents,
Standards, Microbiology and more.
- Order Center
Build a Shopping Cart, View Orders
Access ordering instructions
- Sigma® Life Science
Cell culture, antibodies
and more biological products
- Classic Lab Chemicals
High-quality laboratory reagents.
Solvents, salts, acids, bases
- Product Directory
Browse Through the Product catagory
Find the right product
Resultado de búsqueda
ATR-FT-IR spectrum of polyester (4000-225 cm –1) Institute of Chemistry University of Tartu, Estonia.
1 de oct. de 2022 · The Infrared Spectroscopy of Polyesters. A polyester is a polymer where the ester group is found in the backbone of the polymer chain. A ubiquitous polymer in our modern society is polyethylene terephthalate (PET), otherwise known as soda bottles and polyester clothing.
Characterization and interpretation of functional groups in the FTIR spectrum indicated the presence of cellulose polymer, ethylene-propylene copolymer, neoprene, and polyester.
The Fourier transform infrared spectroscopy (FTIR) was used to explore the chemical aspect, whereas the dynamic mechanical analysis (DMA) and thermomechanical analysis (TMA) were...
FTIR spectroscopy was used to identify interaction in PVC/fGO polymer composites, that the peak around 863 cm-1 of pure film shifts to a lower wavenumber ~ 833 cm−1 with the incorporation of...
The KnowItAll IR, Raman, and UV-Vis spectral libraries offer access to the world's largest collection of IR, Raman, and UV-Vis spectra, including the renowned Sadtler spectra. The libraries include a wide range of compounds from pure organics to industrial compounds. Learn more.
15 de feb. de 2017 · In this study we carry out statistical analysis of ATR-FT-IR spectra of altogether 89 textile fibre samples of 26 different formal compositions. Based on this analysis we demonstrate that classification of textile fibres (both single-component and two-component) is feasible using PCA and discriminant analysis.