Abstract Two-dimensional (2D) correlation between two spectra is called the technology of
two-trace two-dimensional (2T2D) correlation spectroscopy by Noda. 2T2D correlation …

In this study, near infrared (NIR) spectroscopy combined with chemometrics was used for the
quantitative analysis of corn oil in binary to hexanary edible blend oil. Sesame oil, soybean …

Preprocessing of raw near-infrared (NIR) spectra is typically required prior to multivariate
calibration since the measured spectra of complex samples are often subject to …

Phytochemically, peanuts provide significant nutritional value to humans, animals, and the
food industry as a whole. This study was conducted to explore the potential for near-infrared …

Traditional methods for identification of Panax notoginseng (PN) such as high performance
liquid chromatography (HPLC) and gas chromatography (GC) are time-consuming …

Deep learning DL models of NIR spectral data outperforms traditional chemometrics
algorithms specially when analyzing complicated materials spectra with overlapping bands …

Weighted multiscale support vector regression combined with ultraviolet–visible (UV–Vis)
spectra for quantitative analysis of edible blend oil is proposed. In the approach, UV–Vis …

Infrared spectroscopy (IR) combined with multivariate calibration technology can be used as
a potential method to quantitative analysis of polycyclic aromatic hydrocarbons (PAHs) in …

The enormous development and expansion of antibiotic-resistant bacterial strains impel the
intensive search for new methods for fast and reliable detection of antibiotic susceptibility …

As a fast and non-destructive spectroscopic analysis technique, Raman spectroscopy has
been widely applied in chemistry. However, noise is usually unavoidable in Raman spectra …