
A study published in Sustainability by Giuseppe Bonifazi and his team at Sapienza University of Rome demonstrates how short-wave infrared (SWIR) spectroscopy combined with machine learning offers a noninvasive, accurate, and sustainable method for detecting asbestos in various materials.
























