Results 251 to 260 of about 3,408 (306)

Hydrolyzation‐Free Characterization of Acetalated Dextran via 2D Correlated Raman Spectroscopy

open access: yesJournal of Raman Spectroscopy, EarlyView.
The hydrophilicity and stability of acetalated dextran can be modified by controlling the ratio of cyclic and acyclic substitution products, allowing the alteration of the material's degradation profile. Raman spectroscopy offers a non‐destructive analysis method of the solid products independent of the time critical acetone signal in 1H‐NMR.
Julian Plitzko   +5 more
wiley   +1 more source

Fingerprinting of Semi‐Refined Flaxseed Protein Using Raman Spectroscopy and Multivariate Analysis: Pulsed Electric Field (PEF)‐Assisted Alkali and Aqueous Extraction Methods Alter Composition and Protein Conformation

open access: yesJournal of Raman Spectroscopy, EarlyView.
Structural changes in semi‐refined flaxseed protein extracts were effectively characterized using Raman spectroscopy coupled with PCA. The application of higher PEF energy enhanced hydrophobic interactions among aliphatic amino acids, while at lower PEF inputs, the extraction medium dictated secondary structure formation: α‐helices favored in aqueous ...
Jervee M. Punzalan   +7 more
wiley   +1 more source

Coherent Terahertz Hyper‐Raman Spectroscopy

open access: yesJournal of Raman Spectroscopy, EarlyView.
In this paper, we review our recent discovery of a novel nonlinear effect in the terahertz frequency range, which we have termed terahertz hyper‐Raman (THYR) spectroscopy. This technique shares many characteristics with conventional hyper‐Raman spectroscopy but is applied within the THz spectrum.
Domenico Paparo   +2 more
wiley   +1 more source

Prediction of Proliferation Rate of Pre‐Osteoblasts Using Raman Spectroscopy and Machine Learning Models

open access: yesJournal of Raman Spectroscopy, EarlyView.
The main processes involved in predicting the pre–osteoblast proliferation rate using Raman spectroscopy and machine learning. ABSTRACT This novel study focuses on using Raman spectroscopy and machine learning (ML) models to forecast the murine pre‐osteoblast (OB) proliferation rate.
Sai S. Sudha   +3 more
wiley   +1 more source

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