AI-Optimized Quantitative RINEPT (AIOQ-RINEPT) 1D ¹³C NMR for Rapid Polyolefin Microstructure Analysis.

ABSTRACT: Polyolefins, which are vital materials in a wide range of industries, demand accurate and rapid microstructural analysis to enhance and optimize their performance characteristics. Triad sequence distributions are widely used to evaluate critical parameters, including comonomer content, monomer number-average sequence length, and the blockiness Koenig B value. While conventional algebraic methods for determining these values often lack accuracy, this study presents a more precise approach based on matrix operations. Traditional quantitative ¹³C NMR has long served as the primary technique for analyzing polyolefin microstructures. However, its low sensitivity and lengthy acquisition time limit high-throughput analysis and hinder the practical determination of certain microstructur

SUBMITTER: Ye S 

PROVIDER: S-EPMC12489647 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature