Spectroscopic analysis demonstrates sensitive detection of chlorinated impurities in commercial diisocyanate streams, highlighting a robust method for industrial quality control.
Chlorinated impurities in industrial diisocyanates production significantly impact product quality and stability, yet their speciation remains an analytical challenge. This study demonstrates that 35 Cl nuclear quadrupole resonance (NQR) spectroscopy, supported by DFT calculations, provides a powerful framework for identifying byproducts in these processes. We show that NQR frequencies effectively categorize chlorinated species—such as amino hydrochlorides and carbamoyl chlorides—into distinct chemical families, with signal shifts driven by local electronic structure, intermolecular interactions, and conformation. Applied to commercial 4,4'‐MDI, this analytic ruler successfully identifies the presence of specific byproducts and establishes 35 Cl NQR as a uniquely sensitive tool for monitoring byproducts and thereby the quality of industrial diisocyanate streams.
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Nobile et al. (2026) studied this question.
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