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Câmara ABF, da Silva WJO, Neves ACDO, Moura HOMA, de Lima KMG, de Carvalho LS. Excitation-emission fluorescence spectroscopy coupled with PARAFAC and MCR-ALS with area correlation for investigation of jet fuel contamination. Talanta 2024; 266:125126. [PMID: 37651908 DOI: 10.1016/j.talanta.2023.125126] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/21/2023] [Accepted: 08/24/2023] [Indexed: 09/02/2023]
Abstract
The contamination of jet fuel has gained attention in the past years as a notable factor in aircraft accidents. Identifying the contamination sources is still a challenge, especially when they have a similar composition to the fuel, such as kerosene solvent (KS). A novel analytical methodology was developed by combining a set of excitation-emission matrix (EEM) fluorescence to area constrained multivariate curve resolution with alternating least-squares (MCR-ALS) and PARAllel FACtor (PARAFAC) analysis, in order to identify KS in blends with JET-A1. For this purpose, a dataset with 50 samples (KS and JET-A1 blends, 2.0-100% v/v) was used to build the multivariate models. Both PARAFAC and MCR-ALS allowed fuel quantification with 4.64% and 3.46% RMSEP, respectively; both models (PARAFAC and MCR-ALS) could quantify KS with high accuracy (RMSEP <5.36%). In addition, MCR-ALS model was able to recover the pure spectral profiles of KS, JET-A1 and interferers. GC-MS data of the samples proved the composition similarities between both petroleum distillates, thus being inefficient for identifying the contamination. These results indicate that the development of multivariate models using EEM was the key for contributing with a new low-cost and accurate method for on-line screening of jet fuel contamination.
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Affiliation(s)
- Anne B F Câmara
- Institute of Chemistry, Federal University of Rio Grande Do Norte, Energetic Technologies Research Group, 59078-900, Natal, Brazil.
| | - Wellington J O da Silva
- Quality Control Laboratory for Oil and Derivatives, Ativo Industrial de Guamaré (ATI), Petrobras, Rio Grande do Norte, Brazil
| | - Ana C de O Neves
- Institute of Chemistry, Federal University of Rio Grande Do Norte, Energetic Technologies Research Group, 59078-900, Natal, Brazil
| | - Heloise O M A Moura
- Institute of Chemistry, Federal University of Rio Grande Do Norte, Energetic Technologies Research Group, 59078-900, Natal, Brazil
| | - Kassio M G de Lima
- Institute of Chemistry, Federal University of Rio Grande Do Norte, Energetic Technologies Research Group, 59078-900, Natal, Brazil
| | - Luciene S de Carvalho
- Institute of Chemistry, Federal University of Rio Grande Do Norte, Energetic Technologies Research Group, 59078-900, Natal, Brazil.
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2
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Olivieri AC. Evaluation of the ambiguity in second-order analytical calibration based on multivariate curve resolution. A tutorial. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107455] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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3
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Mazivila SJ, Soares JX, Santos JLM. A tutorial on multi-way data processing of excitation-emission fluorescence matrices acquired from semiconductor quantum dots sensing platforms. Anal Chim Acta 2022; 1211:339216. [PMID: 35589220 DOI: 10.1016/j.aca.2021.339216] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 10/14/2021] [Accepted: 10/23/2021] [Indexed: 12/27/2022]
Abstract
This tutorial demonstrates how to exploit the second-order advantage on excitation-emission fluorescence matrices (EEFMs) acquired from sensing platforms based on analyte-triggered semiconductor quantum dots (QDs) fluorescence modulation (quenching/enhancing). The advantage in processing such second-order EEFMs data from complex samples, seeking successful quantification, is comprehensively addressed. It is worth emphasizing that, aiming to exploit the second-order advantage, the selection of the most appropriate advanced chemometric model should rely on the matching between the data structure and the physicochemical chemometric model assumption. In this sense, the achievement of second-order advantage after EEFMs' processing is extensively addressed throughout this tutorial taking into consideration three different analytical situations, each involving a specific data structure: i) parallel factor analysis (PARAFAC), which is applied in a real dataset stacked in a three-way data array containing a trilinear data structure acquired from QDs-based detection with non-selective species; ii) multivariate curve resolution - alternating least-squares (MCR-ALS), which is also employed in a real dataset arranged in an augmented data matrix containing non-trilinear data structure acquired from QDs-based detection with a single breaking mode caused by background signals; iii) unfolded partial least-squares with residual bilinearization (U-PLS/RBL), which is applied in a dataset containing non-trilinear data acquired from a classical fluorescence system with two breaking modes caused by inner filter effect (IFE) in both instrumental modes (excitation and emission). The latter challenging data structure can be acquired via fluorescence quenching from IFE-based sensing platforms and chemometrically handled in two main steps. First, a set of calibration EEFMs data is converted into an unfolded data matrix during the unfolding process, followed by applying U-PLS model. Second, a post-calibration procedure using RBL analysis is applied to a test sample of EEFM maintained in its matrix form, in order to handle potential interferents. In the last section, the state-of-the-art of second-order EEFMs data acquired from semiconductor QDs-based sensing platforms and coupled to multi-way fluorescence data processing to accomplish a successful quantification, even with substantial interfering species, is critically reviewed.
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Affiliation(s)
- Sarmento J Mazivila
- The Associated Laboratory for Green Chemistry (LAQV) of the Network of Chemistry and Technology (REQUIMTE) - the Portuguese Research Centre for Sustainable Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313, Porto, Portugal.
| | - José X Soares
- The Associated Laboratory for Green Chemistry (LAQV) of the Network of Chemistry and Technology (REQUIMTE) - the Portuguese Research Centre for Sustainable Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313, Porto, Portugal
| | - João L M Santos
- The Associated Laboratory for Green Chemistry (LAQV) of the Network of Chemistry and Technology (REQUIMTE) - the Portuguese Research Centre for Sustainable Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313, Porto, Portugal.
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4
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Anzardi MB, Ibañez GA, Arancibia JA. Quantification chemometrically assisted of veterinary quinolones in edible animal tissues by excitation-emission fluorescence-kinetic data obtained through Fenton degradation. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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5
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Flexible Implementation of the Trilinearity Constraint in Multivariate Curve Resolution Alternating Least Squares (MCR-ALS) of Chromatographic and Other Type of Data. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27072338. [PMID: 35408738 PMCID: PMC9000239 DOI: 10.3390/molecules27072338] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/29/2022] [Accepted: 04/02/2022] [Indexed: 11/16/2022]
Abstract
Multivariate Curve Resolution Alternating Least Squares (MCR-ALS) can analyze three-way data under the assumption of a trilinear model using the trilinearity constraint. However, the rigid application of this constraint can produce unrealistic solutions in practice due to the inadequacy of the analyzed data to the characteristics and requirements of the trilinear model. Different methods for the relaxation of the trilinear model data requirements have been proposed, like in the PARAFAC2 and in the direct non-trilinear decomposition (DNTD) methods. In this work, the trilinearity constraint of MCR-ALS is adapted to different data scenarios where the profiles of all or some of the components of the system are shifted (not equally synchronized) or even change their shape among different slices in one of their data modes. This adaptation is especially useful in gas and liquid chromatography (GC and LC) and in Flow Injection Analysis (FIA) with multivariate spectroscopic detection. In a first data example, a synthetic LC-DAD dataset is built to investigate the possibilities of the proposed method to handle systematic changes (shifts) in the retention times of the elution profiles and the results are compared with those obtained using alternative methods like ATLD, PARAFAC, PARAFAC2 and DNTD. In a second data example, multiple wine samples were simultaneously analyzed by GC-MS where elution profiles presented large deviations (shifts) in their peak retention times, although they still preserve the same peak shape. Different modelling scenarios are tested and the results are also compared. Finally, in the third example, sample mixtures of acid compounds were analyzed by FIA under a pH gradient and monitored by UV spectroscopy and also examined by different chemometric methods using a different number of components. In this case, however, the departure of the trilinear model comes from the acid base speciation of the system depending on the pH more than from the shifting of the FIA diffusion profiles.
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6
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Multi-way calibration for the quantification of polycyclic aromatic hydrocarbons in samples of environmental impact. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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7
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Pérez-Cova M, Jaumot J, Tauler R. Untangling comprehensive two-dimensional liquid chromatography data sets using regions of interest and multivariate curve resolution approaches. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116207] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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8
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Mazivila SJ, Lombardi JM, Páscoa RNMJ, Bortolato SA, Leitão JMM, Esteves da Silva JCG. Three-way calibration using PARAFAC and MCR-ALS with previous synchronization of second-order chromatographic data through a new functional alignment of pure vectors for the quantification in the presence of retention time shifts in peak position and shape. Anal Chim Acta 2021; 1146:98-108. [PMID: 33461724 DOI: 10.1016/j.aca.2020.12.033] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/28/2020] [Accepted: 12/16/2020] [Indexed: 11/27/2022]
Abstract
In the present contribution is shown the application of the recently developed functional alignment of pure vectors (FAPV) as a proper algorithm to align second-order chromatographic data with severe retention time shifts in peak position and shape. FAPV decomposed a three-way chromatographic data array in their three modes (sample, spectral and elution time vectors), using a basis function to pre-process the non-linear mode (elution time) and then it aligns the functionalized pure vectors and reshapes the transformed vectors into matrices, restoring the trilinearity of second-order chromatographic data. The well-aligned three-way chromatographic data array is then successfully decomposed by advanced chemometric models such as parallel factor analysis (PARAFAC) and multivariate curve resolution - alternating least-squares (MCR-ALS) with the trilinearity constraint. The performance of this innovative analytical strategy based on PARAFAC and MCR-ALS with previous synchronization of data through FAPV algorithm is properly evaluated using real second-order chromatographic data with multiple artifacts, i.e., shifts in peak position and shape for the simultaneous quantification of amoxicillin and potassium clavulanate in commercial medicinal drugs. The present contribution compares some analytical results achieved by: (1) the usual MCR-ALS as a bilinear model applied in augmented data matrix without previous synchronization and with interval correlation optimized shifting (ICOSHIFT) and FAPV and (2) trilinear models using PARAFAC with ICOSHIFT and FAPV and trilinearity constraint in MCR-ALS with FAPV. Available results suggest that these strongly shifted and warped elution time profiles cause for the loss of trilinearity, which can be adequately restored by FAPV algorithm. PARAFAC performed a successful trilinear decomposition of three-way chromatographic data array with law values of relative prediction error (REP) in the order of 1.34-1.42% in both analytes.
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Affiliation(s)
- Sarmento J Mazivila
- Research Centre in Chemistry (CIQ-UP), Faculty of Sciences, University of Porto, 4169-007, Porto, Portugal.
| | - Juan M Lombardi
- Department of Analytical Chemistry, Faculty of Biochemical and Pharmaceutical Sciences, National University of Rosario, Rosario Institute of Chemistry (IQUIR-CONICET), Suipacha 531, S2002LRK, Rosario, Argentina.
| | - Ricardo N M J Páscoa
- LAQV, REQUIMTE, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313, Porto, Portugal
| | - Santiago A Bortolato
- Department of Analytical Chemistry, Faculty of Biochemical and Pharmaceutical Sciences, National University of Rosario, Rosario Institute of Chemistry (IQUIR-CONICET), Suipacha 531, S2002LRK, Rosario, Argentina
| | - João M M Leitão
- Research Centre in Chemistry (CIQ-UP), Faculty of Pharmacy, University of Coimbra, 3000-548, Coimbra, Portugal
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9
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Processing multi-way chromatographic data for analytical calibration, classification and discrimination: A successful marriage between separation science and chemometrics. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2020.116128] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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10
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Wu HL, Wang T, Yu RQ. Recent advances in chemical multi-way calibration with second-order or higher-order advantages: Multilinear models, algorithms, related issues and applications. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.115954] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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11
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Pinto L, Jardim ICSF, Rutledge DN, Breitkreitz MC. Multiblock modelling on the study of the kinetic degradation of rosuvastatin calcium in the presence of retention time shifts and rank deficiency. Anal Chim Acta 2020; 1133:77-87. [PMID: 32993876 DOI: 10.1016/j.aca.2020.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 07/14/2020] [Accepted: 08/04/2020] [Indexed: 11/28/2022]
Abstract
In pharmaceutical development, forced degradation studies are mandatory before the commercialization of any drug product. They aim at identifying the possible degradation routes and the potential products that may be formed during drug product shelf life. The most widely used techniques for monitoring this in the pharmaceutical industry are hyphenated techniques such as Liquid Chromatography coupled to ultraviolet diode array detector (LC-DAD). There are however some drawbacks, such as long analysis times required for the elution of all compounds and coelution, which is not easily detected since degradation products usually have spectra very similar to that of the drug. Chemometrics methods applied to LC-DAD data are capable of solving this issue, but the approaches described in the literature first require peak alignment to solve the rank deficiency problem, which is a delicate preprocessing method for high order data. The present work describes another approach where extra information - the kinetic degradation profiles - is included for the modelling, generating a third-order data set for each sample, resulting in a four-way array (sample x retention times x spectra x degradation profile). This approach has the advantage of using the information in the third mode to solve the peak co-elution problem without the need for peak alignment among samples. With the proposed approach, it was possible to study the degradation of calcium rosuvastatin, a modern cholesterol lowering drug, using a 2 min-run, despite all the challenges in the modelling of this data. The proposed strategy was compared to an approach based on augmenting the matrix in the spectral/kinetic modes (second order modelling strategy).
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Affiliation(s)
- Licarion Pinto
- Department of Fundamental Chemistry, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil.
| | | | - Douglas Neil Rutledge
- Université Paris-Saclay, INRAE, AgroParisTech, UMR SayFood, 75005, Paris, France; National Wine and Grape Industry Centre, Charles Sturt University, Wagga Wagga, Australia
| | - Márcia Cristina Breitkreitz
- Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
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12
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Olivieri AC, Omidikia N. Initialization effects in two-component second-order multivariate calibration with the extended bilinear model. Anal Chim Acta 2020; 1125:169-176. [DOI: 10.1016/j.aca.2020.05.060] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 04/03/2020] [Accepted: 05/23/2020] [Indexed: 10/24/2022]
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13
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Pellegrino Vidal RB, Olivieri AC. A New Parameter for Measuring the Prediction Uncertainty Produced by Rotational Ambiguity in Second-Order Calibration with Multivariate Curve Resolution. Anal Chem 2020; 92:9118-9123. [DOI: 10.1021/acs.analchem.0c01395] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Rocío B. Pellegrino Vidal
- Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Instituto de Química de Rosario (IQUIR-CONICET), Suipacha 531, Rosario S2002LRK, Argentina
| | - Alejandro C. Olivieri
- Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Instituto de Química de Rosario (IQUIR-CONICET), Suipacha 531, Rosario S2002LRK, Argentina
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14
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Mazivila SJ, Nogueira HIS, Páscoa RNMJ, Ribeiro DSM, Santos JOLM, Leitão JOMM, Esteves da Silva JCG. Portable and benchtop Raman spectrometers coupled to cluster analysis to identify quinine sulfate polymorphs in solid dosage forms and antimalarial drug quantification in solution by AuNPs-SERS with MCR-ALS. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2020; 12:2407-2421. [PMID: 32930267 DOI: 10.1039/d0ay00693a] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
This paper proposes for the first time: (a) a qualitative analytical method based on portable and benchtop backscattering Raman spectrometers coupled to hierarchical cluster analysis (HCA) and multivariate curve resolution - alternating least-squares (MCR-ALS) to identify two polymorphs of antimalarial quinine sulfate in commercial pharmaceutical tablets in their intact forms and (b) a quantitative analytical method based on gold nanoparticles (AuNPs) as active substrates for surface-enhanced Raman scattering (SERS) in combination with MCR-ALS to quantify quinine sulfate in commercial pharmaceutical tablets in solution. The pure concentration and spectral profiles recovered by MCR-ALS proved that both formulations present different polymorphs. These results were also confirmed by two clusters observed in the HCA model, according to their similarities within and among the samples that provided useful information about the homogeneity of different pharmaceutical manufacturing processes. AuNPs-SERS coupled to MCR-ALS was able to quantify quinine sulfate in the calibration range from 150.00 to 200.00 ng mL-1 even with the strong overlapping spectral profile of the background SERS signal, proving that it is a powerful ultrahigh sensitivity analytical method. This reduced linearity was validated throughout a large calibration range from 25.00 to 175.00 μg mL-1 used in a reference analytical method based on high performance liquid chromatography with a diode array detector (HPLC-DAD) coupled to MCR-ALS for analytical validation purposes, even in the presence of a coeluted compound. The analytical methods developed herein are fast, because second-order chromatographic data and first-order SERS spectroscopic data were obtained in less than 6 and 2 min, respectively. Concentrations of quinine sulfate were estimated with low root mean square error of prediction (RMSEP) values and a low relative error of prediction (REP%) in the range 1.8-4.5%.
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Affiliation(s)
- Sarmento J Mazivila
- Centro de Investigação em Química da Universidade do Porto (CIQ-UP), Research Centre in Chemistry (CIQ-UP), Faculty of Sciences, University of Porto, R. Campo Alegre 687, 4169-007 Porto, Portugal.
| | - Helena I S Nogueira
- Department of Chemistry and CICECO, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Ricardo N M J Páscoa
- LAQV, REQUIMTE, Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - David S M Ribeiro
- LAQV, REQUIMTE, Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Joà O L M Santos
- LAQV, REQUIMTE, Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Joà O M M Leitão
- Research Centre in Chemistry (CIQ-UP), Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Joaquim C G Esteves da Silva
- Centro de Investigação em Química da Universidade do Porto (CIQ-UP), Research Centre in Chemistry (CIQ-UP), Faculty of Sciences, University of Porto, R. Campo Alegre 687, 4169-007 Porto, Portugal.
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15
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Zhang XH, Zhou Q, Liu Z, Qing XD, Zheng JJ, Mu ST, Liu PH. Comparison of three second-order multivariate calibration methods for the rapid identification and quantitative analysis of tea polyphenols in Chinese teas using high-performance liquid chromatography. J Chromatogr A 2020; 1618:460905. [PMID: 32008825 DOI: 10.1016/j.chroma.2020.460905] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Revised: 01/09/2020] [Accepted: 01/20/2020] [Indexed: 01/28/2023]
Affiliation(s)
- Xiao-Hua Zhang
- Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, PR China.
| | - Qian Zhou
- Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, PR China
| | - Zhi Liu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products/Institute of Quality and Standards for Agricultural Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, PR China.
| | - Xiang-Dong Qing
- Hunan Provincial Key Laboratory of Dark Tea and Jin-hua, College of Materials and Chemical Engineering, Hunan City University, Yiyang, 413049, PR China
| | - Jing-Jing Zheng
- Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, PR China
| | - Shu-Ting Mu
- Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, PR China
| | - Pan-Hua Liu
- Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, PR China
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16
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Analytical chemistry assisted by multi-way calibration: A contribution to green chemistry. Talanta 2019; 204:700-712. [DOI: 10.1016/j.talanta.2019.06.022] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 06/05/2019] [Accepted: 06/06/2019] [Indexed: 12/30/2022]
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17
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Anzardi MB, Arancibia JA, Olivieri AC. Interpretation of matrix chromatographic-spectral data modeling with parallel factor analysis 2 and multivariate curve resolution. J Chromatogr A 2019; 1604:460502. [DOI: 10.1016/j.chroma.2019.460502] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 08/28/2019] [Accepted: 08/29/2019] [Indexed: 10/26/2022]
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18
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Pagani AP, Ibañez GA. Pesticide residues in fruits and vegetables: High-order calibration based on spectrofluorimetric/pH data. Microchem J 2019. [DOI: 10.1016/j.microc.2019.104042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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19
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Alcaraz MR, Monago-Maraña O, Goicoechea HC, Muñoz de la Peña A. Four- and five-way excitation-emission luminescence-based data acquisition and modeling for analytical applications. A review. Anal Chim Acta 2019; 1083:41-57. [PMID: 31493809 DOI: 10.1016/j.aca.2019.06.059] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 06/26/2019] [Accepted: 06/27/2019] [Indexed: 01/23/2023]
Abstract
The latest advances in both theory and experimental procedures on third-order/four-way and fourth-order/five-way calibration methods are discussed. This report is focused on excitation-emission (fluorescence and phosphorescence) matrices generation, employing different variables as the third data mode (time retention in chromatography, pH gradient, fluorescence/phosphorescence lifetime, kinetics, or other chemical treatments). Fully capitalizing on the second-order advantage, it has been possible to develop appealing analytical applications in spite of the complexity of the data. Extraction of the significant chemical information about the system under study as well as the individual abundance of the contributing constituents after proper higher-order data decomposition has allowed to analytical researchers performing quantitative analysis of complex samples. The experimental works reported up to the present are introduced and discussed in order to illustrate concepts. Throughout this work, the analytical benefits achieved by modeling third- and fourth-order data are exposed, attempting to contribute to the ongoing debate in the chemometric community regarding the existence and the true nature of the third-order advantage.
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Affiliation(s)
- Mirta R Alcaraz
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, Santa Fe, S3000ZAA, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CABA, C1425FQB, Argentina; Departamento de Química Inorgánica, Analítica y Química Física, INQUIMAE, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, Pabellón 2, C1428EGA, Buenos Aires, Argentina
| | - Olga Monago-Maraña
- Department of Analytical Chemistry, University of Extremadura, Badajoz, 06006, Spain; Research Institute on Water, Climate Change and Sustainability (IACYS), Badajoz, 06006, Spain
| | - Héctor C Goicoechea
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, Santa Fe, S3000ZAA, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CABA, C1425FQB, Argentina
| | - Arsenio Muñoz de la Peña
- Department of Analytical Chemistry, University of Extremadura, Badajoz, 06006, Spain; Research Institute on Water, Climate Change and Sustainability (IACYS), Badajoz, 06006, Spain.
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20
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Escandar GM, Olivieri AC. Multi-way chromatographic calibration—A review. J Chromatogr A 2019; 1587:2-13. [DOI: 10.1016/j.chroma.2019.01.012] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 01/03/2019] [Accepted: 01/05/2019] [Indexed: 12/30/2022]
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Pellegrino Vidal R, Olivieri AC, Ibañez GA, Escandar GM. Online Third-Order Liquid Chromatographic Data with Native and Photoinduced Fluorescence Detection for the Quantitation of Organic Pollutants in Environmental Water. ACS OMEGA 2018; 3:15771-15779. [PMID: 31458227 PMCID: PMC6643827 DOI: 10.1021/acsomega.8b02439] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Accepted: 11/08/2018] [Indexed: 05/10/2023]
Abstract
Third-order liquid chromatographic data were generated online for the simultaneous quantitation of six organic environmental pollutants. The employed strategy consists in reducing the linear flow rate at the column outlet. A postcolumn UV reactor and a fluorimetric detector allowed to properly record both photoinduced and native excitation-emission fluorescence matrices (EEPIFMs and EEFMs, respectively). The obtained third-order liquid chromatography data were chemometrically processed with the multivariate curve resolution-alternating least-squares model. The sensitivity of the overall analytical method was enhanced by a very simple solid-phase extraction with C18 membranes, to be able to successfully apply it to natural water samples tested as real matrices. Favorable detection limits for the investigated pollutants, ranging from 0.02 to 0.27 ng mL-1, were attained, with relative prediction errors between 2 and 7%. Since the studied samples contain uncalibrated interferents, the applied strategy achieves the second-order advantage. Implications regarding the potential achievement of the third-order advantage are discussed.
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Carabajal MD, Arancibia JA, Escandar GM. Multivariate curve resolution strategy for non-quadrilinear type 4 third-order/four way liquid chromatography–excitation-emission fluorescence matrix data. Talanta 2018; 189:509-516. [DOI: 10.1016/j.talanta.2018.07.017] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 07/09/2018] [Accepted: 07/09/2018] [Indexed: 11/27/2022]
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23
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Lombardi JM, Bortolato SA. Functional data analysis, a new approach to aligning three-way liquid chromatographic with fluorescence detection data. Microchem J 2018. [DOI: 10.1016/j.microc.2018.06.041] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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24
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Simultaneous Determination of Pesticides in Fruits by Using Second-Order Fluorescence Data Resolved by Unfolded Partial Least-Squares Coupled to Residual Bilinearization. J CHEM-NY 2018. [DOI: 10.1155/2018/3217465] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
In the present work, a chemometric-assisted spectrofluorimetric method has been developed for the simultaneous determination of natural fluorescent pesticides, carbaryl, carbendazim, and thiabendazole, in orange and banana. Only a simple extraction with methanol was required as sample pretreatment. Emission-excitation fluorescence matrices were obtained and resolved by using a second-order multivariate calibration method based on unfolded partial least-squares combined with residual bilinearization (U-PLS/RBL) for achieving “second-order advantage.” In this way, pesticides were determined in fruits even in the presence of inner filter effects, background interactions, strong spectral overlapping, and unexpected components. U-PLS can cope with effects that cause trilinearity loss such as, inner filter effects, including background in the calibration set; meanwhile, RBL allows to resolve the presence of unexpected components. The extraction technique was validated against a commonly applied technique based on the use of ethyl acetate and sodium sulfate. Besides, results obtained for real samples were statistically compared with those obtained by using HPLC. LODs of 0.038, 0.054, and 0.018 mg·kg−1 and 0.044, 0.072, and 0.020 mg·kg−1 were obtained for carbaryl, carbendazim, and thiabendazole in banana and orange samples, respectively; values were in accordance with the MRLs (Maximum Residue Limits) established by different official control organizations such as National Food Safety and Quality Service (SENASA), Codex Alimentarius (based on Food and Agriculture Organization (FAO) of the United Nations and World Health Organization (WHO), and Environmental Protection Agency (EPA).
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Navarro-Reig M, Bedia C, Tauler R, Jaumot J. Chemometric Strategies for Peak Detection and Profiling from Multidimensional Chromatography. Proteomics 2018; 18:e1700327. [DOI: 10.1002/pmic.201700327] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 03/16/2018] [Indexed: 12/19/2022]
Affiliation(s)
- Meritxell Navarro-Reig
- Department of Environmental Chemistry; Institute of Environmental Assessment and Water Research (IDAEA) - Spanish National Research Council (CSIC); Jordi Girona 18-34, E08034 Barcelona Spain
| | - Carmen Bedia
- Department of Environmental Chemistry; Institute of Environmental Assessment and Water Research (IDAEA) - Spanish National Research Council (CSIC); Jordi Girona 18-34, E08034 Barcelona Spain
| | - Romà Tauler
- Department of Environmental Chemistry; Institute of Environmental Assessment and Water Research (IDAEA) - Spanish National Research Council (CSIC); Jordi Girona 18-34, E08034 Barcelona Spain
| | - Joaquim Jaumot
- Department of Environmental Chemistry; Institute of Environmental Assessment and Water Research (IDAEA) - Spanish National Research Council (CSIC); Jordi Girona 18-34, E08034 Barcelona Spain
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26
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Pellegrino Vidal RB, Olivieri AC, Tauler R. Quantifying the Prediction Error in Analytical Multivariate Curve Resolution Studies of Multicomponent Systems. Anal Chem 2018; 90:7040-7047. [DOI: 10.1021/acs.analchem.8b01431] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Rocío B. Pellegrino Vidal
- Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Instituto de Química de Rosario (IQUIR-CONICET), Suipacha 531, Rosario S2002LRK, Argentina
| | - Alejandro C. Olivieri
- Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Instituto de Química de Rosario (IQUIR-CONICET), Suipacha 531, Rosario S2002LRK, Argentina
| | - Romà Tauler
- IDAEA-CSIC, Jordi Girona 18-24, Barcelona 08034, Spain
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Yin XL, Gu HW, Liu XL, Zhang SH, Wu HL. Comparison of three-way and four-way calibration for the real-time quantitative analysis of drug hydrolysis in complex dynamic samples by excitation-emission matrix fluorescence. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 192:437-445. [PMID: 29202388 DOI: 10.1016/j.saa.2017.11.047] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Revised: 11/15/2017] [Accepted: 11/22/2017] [Indexed: 06/07/2023]
Abstract
Multiway calibration in combination with spectroscopic technique is an attractive tool for online or real-time monitoring of target analyte(s) in complex samples. However, how to choose a suitable multiway calibration method for the resolution of spectroscopic-kinetic data is a troubling problem in practical application. In this work, for the first time, three-way and four-way fluorescence-kinetic data arrays were generated during the real-time monitoring of the hydrolysis of irinotecan (CPT-11) in human plasma by excitation-emission matrix fluorescence. Alternating normalization-weighted error (ANWE) and alternating penalty trilinear decomposition (APTLD) were used as three-way calibration for the decomposition of the three-way kinetic data array, whereas alternating weighted residual constraint quadrilinear decomposition (AWRCQLD) and alternating penalty quadrilinear decomposition (APQLD) were applied as four-way calibration to the four-way kinetic data array. The quantitative results of the two kinds of calibration models were fully compared from the perspective of predicted real-time concentrations, spiked recoveries of initial concentration, and analytical figures of merit. The comparison study demonstrated that both three-way and four-way calibration models could achieve real-time quantitative analysis of the hydrolysis of CPT-11 in human plasma under certain conditions. However, it was also found that both of them possess some critical advantages and shortcomings during the process of dynamic analysis. The conclusions obtained in this paper can provide some helpful guidance for the reasonable selection of multiway calibration models to achieve the real-time quantitative analysis of target analyte(s) in complex dynamic systems.
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Affiliation(s)
- Xiao-Li Yin
- College of Life Sciences, Yangtze University, Jingzhou 434025, China
| | - Hui-Wen Gu
- College of Chemistry and Environmental Engineering, Yangtze University, Jingzhou 434023, China.
| | - Xiao-Lu Liu
- College of Life Sciences, Yangtze University, Jingzhou 434025, China
| | - Shan-Hui Zhang
- College of Chemistry and Environmental Engineering, Yangtze University, Jingzhou 434023, China
| | - Hai-Long Wu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
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Abbasi S, Gharaghani S, Benvidi A, Rezaeinasab M. Novel insights into the effect of folate–albumin binding on the transport of ascorbic acid as an anticancer agent: chemometric analysis based on combined spectroscopic and electrochemical studies. NEW J CHEM 2018. [DOI: 10.1039/c8nj01572d] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The electrochemical behavior of ascorbic acid and folic acid upon their interaction with albumin is investigated using electrochemical, chemometric and docking studies.
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Affiliation(s)
- Saleheh Abbasi
- Department of Chemistry
- Faculty of Science
- Yazd University
- Yazd 89195-741
- Iran
| | - Sajjad Gharaghani
- Laboratory of Bioinformatics and Drug Design
- Institute of Biochemistry and Biophysics
- University of Tehran
- Tehran
- Iran
| | - Ali Benvidi
- Department of Chemistry
- Faculty of Science
- Yazd University
- Yazd 89195-741
- Iran
| | - Masoud Rezaeinasab
- Department of Chemistry
- Faculty of Science
- Yazd University
- Yazd 89195-741
- Iran
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29
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Carabajal MD, Arancibia JA, Escandar GM. On-line generation of third-order liquid chromatography–excitation-emission fluorescence matrix data. Quantitation of heavy-polycyclic aromatic hydrocarbons. J Chromatogr A 2017; 1527:61-69. [DOI: 10.1016/j.chroma.2017.10.057] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Revised: 10/22/2017] [Accepted: 10/23/2017] [Indexed: 11/27/2022]
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