Identification of faulty variables is an important component of multivariate statistical process monitoring (MSPM); it provides crucial information for further analysis of the root cause of the detected fault. The main challenge is the large number of combinations of process variables under consideration, usually resulting in a combinatorial optimization problem. This paper develops a generic r...

Within the framework of various strategies studied for abatement polluting agents in water, both from anthropogenic and natural origins, adsorption processes are among most widespread techniques. In this context, Layered Double Hydroxides (LDHs) play a fundamental role. study, Mg–Al LDH (nitrate intercalated, Mg/Al = 2) was prepared to be used as an anion exchanger Cr(VI)-removal purposes water...

An HS-SPME method was developed using multivariate experimental designs, which was conducted in two stages. The significance of each factor was estimated using the Plackett-Burman (P-B) design, for the identification of significant factors, followed by the optimization of the significant factors using central composite design (CCD). The multivariate experiment involved the use of Minitab® stati...