Fourier Transform Infrared

Fourier Transform Infrared (FTIR) spectroscopy is a powerful analytical technique used to identify and characterize materials based on their unique infrared absorption patterns. Current research emphasizes the application of FTIR, often coupled with machine learning algorithms like convolutional neural networks, support vector machines, and random forests, to diverse fields including material science, biomedical diagnostics, and fuel analysis. This involves developing robust predictive models for material properties and automating the analysis of complex spectral data from various sources, such as hyperspectral images and micro-FTIR imaging, to improve accuracy and efficiency in diverse applications. The resulting advancements promise significant improvements in areas ranging from sustainable fuel development to early cancer detection.