A novel application of nylon membranes for tributyltin determination in complex environmental samples by fluorescence spectroscopy and multivariate calibration

Bravo, Manuel; Escandar, Graciela M.; Olivieri, Alejandro C.; Bardin, Emmanuelle; Aguilar, Luís Fuentes; Quiroz, Waldo

doi:10.1016/j.chemolab.2015.09.005

Cited by 7 publications

(2 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multi-way calibration methods are used to detect several components of fluorescence excitation emission matrices (EEMs) . This strategy has been applied to the detection and quantification of TBT, by derivatization whether with flavonoids (which requires an additional preconcentration step) or with nylon membranes as EEMs. The latter allows the detection of TBT in several types of samples with a detection limit ranging between 0.03 and 0.15 ng mL –1 .…”

Section: Tributyltin Monitoringmentioning

confidence: 99%

Optical Fiber Sensors for Biocide Monitoring: Examples, Transduction Materials, and Prospects

et al. 2020

View full text Add to dashboard Cite

Antifouling biocides are toxic to the marine environment impacting negatively on the aquatic ecosystems. These biocides, namely, tributyltin (TBT) and Cu(I) compounds, are used to avoid biofouling; however, their toxicity turns TBT and Cu(I) monitoring an important health issue. Current monitoring methods are expensive and time-consuming. This review provides an overview of the actual state of the art of antifouling paints' biocides, including their impact and toxicity, as well as the reported methods for TBT and Cu(I) detection over the past decade. The principles of optical fiber sensors (OFS) applications, with focus on environmental applications, and the use of organic chemosensors in this type of sensors are debated. The multiplexing ability of OFS and their application on aquatic environments are also discussed.

show abstract

Section: Tributyltin Monitoringmentioning

confidence: 99%

Optical Fiber Sensors for Biocide Monitoring: Examples, Transduction Materials, and Prospects

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The complex formation between tributyltin (TBT) and morin immobilized on a nylon membrane, in combination with second-order multivariate calibration, allowed the fluorimetric determination in natural waters of this organotin pollutant used in anti-fouling paints (Bravo et al, 2015). EEFMs for the TBT-morin complex directly measured in the solid surface were processed by U-PLS/RBL algorithm, allowing the successful determination in the presence of matrix interferences, and avoiding additional clean-up steps for their removal.…”

Section: Solid-phase Spectroscopy In Batch Configurationmentioning

confidence: 99%

Experimental and chemometric strategies for the development of Green Analytical Chemistry (GAC) spectroscopic methods for the determination of organic pollutants in natural waters

Pérez

Escandar

2016

Sustainable Chemistry and Pharmacy

Self Cite

View full text Add to dashboard Cite

The development of Green Analytical Chemistry (GAC) methods is one of the most active areas of Green Chemistry. Especially relevant are GAC methods devoted to the detection and quantification of environmental pollutants, because they should not pollute the environment more than the analyte to be determined. While considerable attention has been paid to develop environmentally friendly alternatives for the first stage of the global analytical process (e.g., sample preparation techniques), relatively fewer works are dedicated to implement green approaches for obtaining the analytical signal. Current strategies that are based on the principles of Green Chemistry for the determination of common organic pollutants in natural waters are detailed. The review collects and discusses selected publications from about the last 5 years relating to the topic, highlighting the role of multivariate calibration as a modern and very useful tool to achieve the pursued objectives.

show abstract

Comparison between Two Linear Supervised Learning Machines’ Methods with Principle Component Based Methods for the Spectrofluorimetric Determination of Agomelatine and Its Degradants

et al. 2017

View full text Add to dashboard Cite

Four accurate, sensitive and reliable stability indicating chemometric methods were developed for the quantitative determination of Agomelatine (AGM) whether in pure form or in pharmaceutical formulations. Two supervised learning machines' methods; linear artificial neural networks (PC-linANN) preceded by principle component analysis and linear support vector regression (linSVR), were compared with two principle component based methods; principle component regression (PCR) as well as partial least squares (PLS) for the spectrofluorimetric determination of AGM and its degradants. The results showed the benefits behind using linear learning machines' methods and the inherent merits of their algorithms in handling overlapped noisy spectral data especially during the challenging determination of AGM alkaline and acidic degradants (DG1 and DG2). Relative mean squared error of prediction (RMSEP) for the proposed models in the determination of AGM were 1.68, 1.72, 0.68 and 0.22 for PCR, PLS, SVR and PC-linANN; respectively. The results showed the superiority of supervised learning machines' methods over principle component based methods. Besides, the results suggested that linANN is the method of choice for determination of components in low amounts with similar overlapped spectra and narrow linearity range. Comparison between the proposed chemometric models and a reported HPLC method revealed the comparable performance and quantification power of the proposed models.

show abstract

A novel application of nylon membranes for tributyltin determination in complex environmental samples by fluorescence spectroscopy and multivariate calibration

Cited by 7 publications

References 57 publications

Optical Fiber Sensors for Biocide Monitoring: Examples, Transduction Materials, and Prospects

Optical Fiber Sensors for Biocide Monitoring: Examples, Transduction Materials, and Prospects

Experimental and chemometric strategies for the development of Green Analytical Chemistry (GAC) spectroscopic methods for the determination of organic pollutants in natural waters

Comparison between Two Linear Supervised Learning Machines’ Methods with Principle Component Based Methods for the Spectrofluorimetric Determination of Agomelatine and Its Degradants

Contact Info

Product

Resources

About