This study introduces a novel method for the quantification of malachite green (MG), a pervasive cationic dye, in surface water by synergizing multiphase electroextraction (MPEE) with digital image analysis (DIA) and partial least square discriminant analysis. Aimed at addressing the limitations of conventional DIA methods in terms of quantitation limits and selectivity, this study achieves a significant breakthrough in the preconcentration of MG using magnesium silicate as a novel sorbent. Demonstrating exceptional processing efficiency, the method allows for the analysis of 10 samples within 20 min, exhibiting remarkable sensitivity and specificity (over 0.95 and 0.90, respectively) across 156 samples in both training and test sets. Notably, the method detects MG at low concentrations (0.2 µg L) in complex matrices, highlighting its potential for broader application in environmental monitoring. This approach not only underscores the method's cost-effectiveness and simplicity but also its precision, making it a valuable tool for the preliminary testing of MG in surface waters. This study underscores the synergy among MPEE, DIA, and chemometric tools, presenting a cost-efficient and reliable alternative for the sensitive detection of water contaminants.
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http://dx.doi.org/10.1002/elps.202400007 | DOI Listing |
Electrophoresis
November 2024
Laboratory of Microfluidics and Separations (LaMS), Department of Chemistry, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Attesting optimal drug concentrations in biological fluids is crucial to ensure precise dosage adjustment, to guarantee therapy adherence, and to manage side effects in chemotherapy. Accurate drug determination relies on liquid chromatography and advanced detectors, with sample preparation playing a pivotal role, especially in complex matrices such as biological fluids. This study introduces a multiphase electroextraction (MPEE) of doxorubicin (DOX) in saliva by utilizing a paper point, followed by ultra-high-performance liquid chromatography coupled to diode array detection.
View Article and Find Full Text PDFElectrophoresis
October 2024
Institute of Analytical Chemistry of the Czech Academy of Sciences, v. v. i., Brno, Czech Republic.
Electroextraction (EE) encompasses a range of sample preparation methods whose effectiveness, selectivity, and efficiency are significantly influenced by the physical-chemical characteristics of analytes, samples, and instrumental conditions. This article explores, for the first time, various strategies aimed at enhancing the extraction efficiency of a recent approach of EE utilizing a paper point (PP) combined with a hollow fiber (HF) (abbreviated as PP-HF-EE) to extract various cationic and anionic model compounds from water samples. The study also explores, experimentally, the impact of agitation, organic filter composition, PP diameter, and PP brand on extraction performance, and proves that all these factors are quite important, especially when digital image analysis is utilized for determination.
View Article and Find Full Text PDFACS Omega
July 2024
Departamento de Química, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, UFMG, Belo Horizonte, MG 31270-901, Brazil.
While optical analysis spectroscopy offers operational ease and low cost, it suffers from limitations regarding sensitivity when it comes to analyzing analytes at low concentrations. On the other hand, surface-enhanced Raman spectroscopy (SERS) offers high sensitivity but low selectivity in complex matrices. In this study, we have effectively addressed these challenges by integrating multiphase electroextraction (MPEE) as a sample preparation technique with these two spectroscopic methods for determining methylene blue (MB) dye in tap water samples.
View Article and Find Full Text PDFElectrophoresis
May 2024
Laboratório de Microfluídica e Separações, LaMS, Departamento de Química, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
This study introduces a novel method for the quantification of malachite green (MG), a pervasive cationic dye, in surface water by synergizing multiphase electroextraction (MPEE) with digital image analysis (DIA) and partial least square discriminant analysis. Aimed at addressing the limitations of conventional DIA methods in terms of quantitation limits and selectivity, this study achieves a significant breakthrough in the preconcentration of MG using magnesium silicate as a novel sorbent. Demonstrating exceptional processing efficiency, the method allows for the analysis of 10 samples within 20 min, exhibiting remarkable sensitivity and specificity (over 0.
View Article and Find Full Text PDFMonitoring chemotherapeutic drugs in biological fluids is, in many cases, extremely important for dose adjustment, the maintenance of therapies, and the control of side effects. In this work, a method for determining the doxorubicin in saliva by digital image analysis (DIA) was optimised and validated. Images from a paper point were obtained using a conventional and cheap flatbed scanner at a 600 ppp resolution.
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