Mid‐Infrared Spectroscopy and Machine Learning for Nondestructive Detection of Inapparent Deterioration in Acrylic Waterborne Coatings for Wood (Adv. Sustainable Syst. 2/2024)

Sustainable Wood Conservation In article 2300354, Yoshikuni Teramoto and co-workers demonstrate that mid-infrared spectroscopy, combined with machine learning, offers a groundbreaking method to nondestructively detect hidden deterioration in wood coatings. This study discerns subtle changes, undetectable by traditional means, and paves the path for sustainable wood conservation. By maximizing material lifespan and ensuring cost-effective maintenance, it marks an indispensable step for eco-friendly wood use.