In recent years, modern spectral analysis techniques, such as ultraviolet–visible (UV-vis)
spectroscopy, mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy, Raman …

Electrochemical surface-enhanced Raman spectroscopy (EC-SERS) is a
spectroelectrochemical method that has been in existence since the first SERS …

Raman spectroscopy is a powerful technique widely used in analytical chemistry. However,
spectral noise emerging during detection introduces potential to compromise the signal-to …

Clinical diagnostic devices provide new sources of information that give insight about the
state of health which can then be used to manage patient care. These tools can be as simple …

Data pre-processing is an essential part of chemometric data analysis, which aims to
remove unwanted variation (such as instrumental artifacts) and thereby focusing on the …

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

One of the challenges of using Raman spectroscopy for biological applications is the
inherent fluorescence generated by many biological molecules that underlies the measured …

Statistical analysis techniques such as principal component analysis (PCA) and discriminant
analysis (DA) have become an integral part of data analysis for differential sensing. These …

Since 1989, wavelet transform (WT) has attracted much interest of chemists working on
signal and image processing, and the WT-based techniques have been successfully applied …

Fourier transform (FT) plays an indispensable role in the quantitative analysis of extended X-
ray absorption fine structure (EXAFS). The fitting of FT-EXAFS has already solved many …