This paper links the polarization-sensitive-array signal detection problem to the parallel factor (PARAFAC) model, which is an analysis tool rooted in psychometrics and chemometrics. Exploiting this link, it derives a deterministic PARAFAC signal detection algorithm. The proposed PARAFAC signal detection algorithm fully utilizes the polarization, spatial and temporal diversities, and supports s...

In analytical chemistry, experimental data often contain outliers of one type or another. The most often used chemometrical/statistical techniques are sensitive to such outliers, and the results may be adversely affected by them. This paper presents an overview of robust chemometrical/statistical methods which search for the model fitted by the majority of the data, and hence are far less affec...

Instrument automation, technological advancements and improved computational power made separation science an extremely data-rich approach, requiring the use of statistical data analysis tools that are able to optimize processes combine multiple outputs. The chemometrics is growing, greatly improving ability extract meaningful information. Separation–multidetection generates multidimensional da...

This tutorial review provides an overview of common chemometric methods, and their potential uses within forensic science for evidence interpretation optimisation analytical procedures.

In order to ensure edible safety, more regard has been paid to pesticide contamination on agricultural product. Conventional techniques are used to measure pesticide contamination. However, the conventional analyses are not possible because of their destructive characteristic and the limitation of time and labor. Spectral technique can provide a rapid, nondestructive means to assess quality and...

Routine identification of pathogenic microorganisms predominantly based on nutritional and biochemical tests is a time-consuming process; the delay may lead to fatal consequences at times. In this work, nanoparticle-induced nanoSPR enhanced IR spectroscopy was used in conjunction with a background elimination data processing algorithm to directly identify microorganisms in mixed cultures. It wa...