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On-Line Photoinduced Fluorescence for Carbamazepine Determination after Multivariate Optimization
(Scientific Research, 2019-11)
This work presents a simple and sensitive flow injection fluorimetric methodfor the determination of carbamazepine (CBZ) in pharmaceutical samples. Itis based on the fluorescence signal measurement of the product generated ...
Total and inorganic mercury determination in biodiesel by emulsion sample introduction and FI-CV-AFS after multivariate optimization
(Royal Society of Chemistry, 2009-06)
An automated procedure for total and inorganic mercury determination in biodiesel by CV-AFS was studied. The samples were introduced directly as oil-in-water emulsions in a flow injection manifold followed by cold vapor ...
Contribution to second-order calibration based on multivariate curve resolution with and without previous chromatographic synchronization
(Elsevier Science, 2019-10-31)
Rotational ambiguity in the bilinear solutions provided by multivariate curve resolution - alternating least-squares (MCR-ALS) leads to an additional source of uncertainty in the estimation of analyte concentrations by ...
Asymptotic properties of statistical estimators using multivariate Chi-squared measurements
(Academic Press Inc Elsevier Science, 2020-08)
This paper studies the problem of estimating a parameter vector from measurements having a multivariate chi-squared distribution. Maximum likelihood estimation in this setting is unfeasible because the multivariate chi-squared ...
Simplified analytical methodology for glucosinolate hydrolysis products: A miniaturized extraction technique and multivariate optimization
(Royal Society of Chemistry, 2019-01)
Miniaturized extraction techniques are one of the most significant advances in analytical chemistry today. Nowadays there is a growing tendency among food researchers to develop simpler and robust methodologies that allow ...
An integrated approach to the simultaneous selection of variables, mathematical pre-processing and calibration samples in partial least-squares multivariate calibration
(Elsevier Science, 2013-07)
A new optimization strategy for multivariate partial-least-squares (PLS) regression analysis is described. It was achieved by integrating three efficient strategies to improve PLS calibration models: (1) variable selection ...
Multivariate cathodic square wave stripping voltammetry optimization for nitro group compounds determination using antimony film electrodes
(Elsevier Science, 2018-06)
The main goal of this paper is the optimization of the square wave voltammetric response of antimony film electrode (SbFE) to determine reducible nitro groups using response surface methodology (RSM). The SbFE was prepared ...
A Sequential Integration between Optimal Flexible Heat Exchanger Network Synthesis and Control Structure Design
(American Chemical Society, 2018-08)
In this work, the optimal synthesis and control structure design (CSD) problems for flexible heat exchanger networks (HENs) are integrated into a new sequential methodology. The proposed approach relies, on one hand, on a ...
Optimal sensor network upgrade for fault detection using principal component analysis
(American Chemical Society, 2016-02-11)
The efficiency of a fault monitoring system critically depends on the structure of the plant instrumentation system. For processes monitored using principal component analysis, the multivariate statistical technique most ...