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Gondo TF, Huang F, Marungruang N, Heyman-Lindén L, Turner C. Investigating the quality of extraction and quantification of bioactive compounds in berries through liquid chromatography and multivariate curve resolution. Anal Bioanal Chem 2024; 416:5387-5400. [PMID: 39145860 PMCID: PMC11416369 DOI: 10.1007/s00216-024-05474-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 07/31/2024] [Accepted: 08/01/2024] [Indexed: 08/16/2024]
Abstract
Berries are a rich source of natural antioxidant compounds, which are essential to profile, as they add to their nutritional value. However, the complexity of the matrix and the structural diversity of these compounds pose challenges in extraction and chromatographic separation. By relying on multivariate curve resolution alternating least squares (MCR-ALS) ability to extract components from complex spectral mixtures, our study evaluates the contributions of various extraction techniques to interference, extractability, and quantifying different groups of overlapping compounds using liquid chromatography diode array detection (LC-DAD) data. Additionally, the combination of these methods extends its applicability to evaluate polyphenol degradation in stored berry smoothies, where evolving factor analysis (EFA) is also used to elucidate degradation products. Results indicate that among the extraction techniques, ultrasonication-assisted extraction employing 1% formic acid in methanol demonstrated superior extractability and selectivity for the different phenolic compound groups, compared with both pressurized liquid extraction and centrifugation of the fresh berry smoothie. Employing MCR-ALS on the LC-DAD data enabled reliable estimation of total amounts of compound classes with high spectral overlaps. Degradation studies revealed significant temperature-dependent effects on anthocyanins, with at least 50% degradation after 7 months of storage at room temperature, while refrigeration and freezing maintained fair stability for at least 12 months. The EFA model estimated phenolic derivatives as the main possible degradation products. These findings enhance the reliability of quantifying polyphenolic compounds and understanding their stability during the storage of berry products.
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Affiliation(s)
- Thamani Freedom Gondo
- Department of Chemistry, Centre for Analysis and Synthesis, Lund University, P.O. Box 124, 22100, Lund, Sweden
| | - Fang Huang
- Department of Chemistry, Division of Biotechnology, Lund University, Lund, Sweden
- Aventure AB, Lund, Sweden
| | | | - Lovisa Heyman-Lindén
- Berry Lab AB, Lund, Sweden
- Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - Charlotta Turner
- Department of Chemistry, Centre for Analysis and Synthesis, Lund University, P.O. Box 124, 22100, Lund, Sweden.
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2
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Pérez-López C, Ginebreda A, Barcelo D, Tauler R. SigSel: A MATLAB package for the pre and post-treatment of high-resolution mass spectrometry signals using the ROIMCR methodology. MethodsX 2023; 10:102199. [PMID: 37424752 PMCID: PMC10326443 DOI: 10.1016/j.mex.2023.102199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/24/2023] [Indexed: 07/11/2023] Open
Abstract
The Regions of Interest Multivariate curve Resolution (ROIMCR) methodology has gained significance for analyzing mass spectrometry data. The new SigSel package improves the ROIMCR methodology by providing a filtering step to reduce computational costs and to identify chemical compounds giving low-intensity signals. SigSel allows the visualization and assessment of ROIMCR results and filters out components resolved as interferences and background noise. This improves the analysis of complex mixtures and facilitates the identification of chemical compounds for statistical or chemometrics analysis. SigSel has been tested using metabolomics samples of mussels exposed to the sulfamethoxazole antibiotic. It begins by analyzing the data according to their charge state, eliminating signals considered background noise, and reducing the size of the datasets. In the ROIMCR analysis, the resolution of 30 ROIMCR components was achieved. After evaluating these components, 24 were ultimately selected explaining 99.05% of the total data variance. From ROIMCR results, chemical annotation is performed using different methods: •Generating a list of signals and reanalyzing them in a data-dependent analysis.•Comparing the ROIMCR resolved mass spectra to those stored in online repositories.•Searching MS signals of chemical compounds in the ROIMCR resolved spectra profiles.
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Affiliation(s)
- Carlos Pérez-López
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Department of Environmental Chemistry, Jordi Girona 18–26, Barcelona 08034, Spain
| | - Antoni Ginebreda
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Department of Environmental Chemistry, Jordi Girona 18–26, Barcelona 08034, Spain
| | - Damia Barcelo
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Department of Environmental Chemistry, Jordi Girona 18–26, Barcelona 08034, Spain
- Catalan Institute for Water Research (ICRA-CERCA), Emili Grahit 101, Parc Científic i Tecnològic de la Universitat de Girona, Edifici H2O, Girona 17003, Spain
| | - Roma Tauler
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Department of Environmental Chemistry, Jordi Girona 18–26, Barcelona 08034, Spain
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3
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Pérez-López C, Rodríguez-Mozaz S, Serra-Compte A, Alvarez-Muñoz D, Ginebreda A, Barceló D, Tauler R. Effects of sulfamethoxazole exposure on mussels (Mytilus galloprovincialis) metabolome using retrospective non-target high-resolution mass spectrometry and chemometric tools. Talanta 2022; 252:123804. [DOI: 10.1016/j.talanta.2022.123804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 05/31/2022] [Accepted: 06/03/2022] [Indexed: 11/28/2022]
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4
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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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5
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XAFS studies on battery materials: Data analysis supported by a chemometric approach. Radiat Phys Chem Oxf Engl 1993 2020. [DOI: 10.1016/j.radphyschem.2019.04.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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6
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Sun YA, Zhang H, Li Z, Yu W, Zhao Z, Wang K, Zhang M, Wang J. Determination and comparison of agarwood from different origins by comprehensive two-dimensional gas chromatography-quadrupole time-of-flight mass spectrometry. J Sep Sci 2020; 43:1284-1296. [PMID: 31916672 DOI: 10.1002/jssc.201901008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 01/01/2020] [Accepted: 01/07/2020] [Indexed: 12/23/2022]
Abstract
Agarwood, a species of resinous heartwood, is a precious medicinal plant and a type of rare natural spice, which is widely used in medicine, cosmetics, religious activities, and other fields. In this study, agarwood samples from eight different regions across four countries were analyzed by comprehensive two-dimensional gas chromatography-quadrupole time-of-flight mass spectrometry. A total of 232 species were identified (the match factors of these compounds were above 750). The main compounds of agarwood are oxygenated sesquiterpenes and chromones. The compositions of India1 and Malaysia2 were significantly different from those of other samples, which might be attributed to the different production processes of agarwood. For further investigation, factor analysis was conducted for six agarwood samples. The results showed that the data classification possessed a regional characteristic; according to the retention time and relative content, characteristic compositions were determined by factor scores. Finally, the differences of characteristic compositions were simply analyzed, and the reasons were speculated.
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Affiliation(s)
- Yu-An Sun
- Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou, P. R. China
| | - Hengmao Zhang
- Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou, P. R. China
| | - Zhenxing Li
- Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou, P. R. China
| | - Wenhao Yu
- Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou, P. R. China
| | - Zhijun Zhao
- J&X Technologies (Shanghai) Co., Ltd., Shanghai, P. R. China
| | - Ke Wang
- Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou, P. R. China
| | - Meili Zhang
- Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou, P. R. China
| | - Jinting Wang
- Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou, P. R. China
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8
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Guo R, Zhang X, He AQ, Zhang F, Li QB, Zhang ZY, Tauler R, Yu ZQ, Morita S, Xu YZ, Noda I, Ozaki Y, Wu JG. A novel systematic absence of cross peaks-based 2D-COS approach for bilinear data. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 220:117103. [PMID: 31146205 DOI: 10.1016/j.saa.2019.05.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 05/05/2019] [Accepted: 05/09/2019] [Indexed: 06/09/2023]
Abstract
A novel approach to use two-dimensional correlation spectroscopy (2D-COS) to analyze bilinear data is proposed. A phenomenon called Systematic Absence of Cross Peaks (SACPs) is observed in a 2D asynchronous spectrum. Two theorems relevant to SACPs have been derived. The SACP-based 2D-COS method has been successfully applied on analyzing bilinear data from mixed samples (including one model system and two real systems). Implicit isolated peaks can be identified and assigned to different components based on characteristic pattern of SACPs even if the time-related profiles of different components are severely overlapped. Based on the results of SACPs, spectra of pure components can be retrieved. Identification of SACPs can still be achieved in the presence of artifacts. Thus, neither noise nor baseline drift can produce significant influence on the results obtained from the approach described in this paper. We have used several well-established chemometric methods, including N-Findr, VCA, and MCR with various initial settings, on two systems that can be successfully solved using the 2D-COS method. The chemometric methods mentioned above cannot provide correct spectra of pure components because of severe problem of rotational ambiguity derived from severe overlapping of the time-related profiles. Only when the information from SACPs in 2D-COS is used as additional constraints in MCR calculation, correct spectra can be obtained. That is to say, the SACP-based 2D-COS method provides intrinsic information which is crucial in the analysis of chromatographic-spectroscopic and analogous data even if the time-related profiles of different components overlap severely.
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Affiliation(s)
- Ran Guo
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, PR China; Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, PR China; Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China
| | - Xin Zhang
- Department of Chemistry, Capital Normal University, Beijing 100048, PR China
| | - An-Qi He
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China
| | - Fei Zhang
- Analytical Instrumentation Center, Peking University, Beijing 100871, PR China
| | - Qing-Bo Li
- School of Instrumentation Science and Opto-Electronics Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Beihang University, Beijing 100191, PR China
| | - Zhuo-Yong Zhang
- Department of Chemistry, Capital Normal University, Beijing 100048, PR China
| | - Roma Tauler
- Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council of Scientific Research (CSIC), Barcelona 08034, Spain
| | - Zhen-Qiang Yu
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, PR China.
| | - Shigeaki Morita
- Department of Engineering Science, Osaka Electro-Communication University, Osaka, Japan
| | - Yi-Zhuang Xu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China.
| | - Isao Noda
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China; Department of Materials Science and Engineering, University of Delaware, Newark, DE 19716, United States
| | - Yukihiro Ozaki
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China; Department of Chemistry, School of Science and Engineering, Kwansei Gakuin University, Sanda, Hyogo 669-1337, Japan
| | - Jin-Guang Wu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China
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9
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Ghaffari M, Chateigner-Boutin AL, Guillon F, Devaux MF, Abdollahi H, Duponchel L. Multi-excitation hyperspectral autofluorescence imaging for the exploration of biological samples. Anal Chim Acta 2019; 1062:47-59. [DOI: 10.1016/j.aca.2019.03.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 03/04/2019] [Accepted: 03/05/2019] [Indexed: 01/28/2023]
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10
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Guo R, Zhang X, Zhang F, Zhang ZY, Yu ZQ, Xu YZ, Noda I, Ozaki Y. A preliminary study on constructing a high-dimensional asynchronous spectrum to analyze bilinear data. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 216:76-84. [PMID: 30877894 DOI: 10.1016/j.saa.2019.03.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 02/26/2019] [Accepted: 03/03/2019] [Indexed: 06/09/2023]
Abstract
A novel approach to constructing high-dimensional asynchronous spectra (nD-Asyn) is proposed. Three theorems relevant to 1D slices of nD-Asyn are revealed. nD-Asyn is used to analyze bilinear data from mixtures containing multiple components obtained via hyphenated techniques. The spectral contribution of different components can be removed in a stepwise manner by increasing the dimensions of asynchronous spectra. As a result, the spectra of different components can be faithfully recovered even if the time-related profiles of different components severely overlap. Moreover, correct results can still be obtained via the nD-Asyn even if a considerable level of noise and baseline drift are present. The nD-Asyn approach is compared with MCR-ALS using different constraints in analyzing the data for a simulated and also for a real system. The nD-Asyn produced correct spectrum of every component. Only when complete constraints obtained from nD-Asyn method is utilized in the MCR-ALS calculation, correct spectra of all the components can be obtained. Thus, nD-Asyn can be used alone or in conjunction with MCR-ALS to analyze bilinear data containing contributions of multiple components.
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Affiliation(s)
- Ran Guo
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, PR China; Key laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, PR China; Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China
| | - Xin Zhang
- Department of Chemistry, Capital Normal University, Beijing 100048, PR China
| | - Fei Zhang
- Analytical Instrumentation Center, Peking University, Beijing 100871, PR China
| | - Zhuo-Yong Zhang
- Department of Chemistry, Capital Normal University, Beijing 100048, PR China
| | - Zhen-Qiang Yu
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, PR China.
| | - Yi-Zhuang Xu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China.
| | - Isao Noda
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China; Department of Materials Science and Engineering, University of Delaware, Newark, DE 19716, United States
| | - Yukihiro Ozaki
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China; Department of Chemistry, School of Science and Technology, Kwansei Gakuin University, Sanda, Hyogo 669-1337, Japan
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11
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Tkachev AV. Problems of the Qualitative and Quantitative Analysis of Plant Volatiles. RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY 2019. [DOI: 10.1134/s1068162018070142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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12
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de Juan A, Tauler R. Data Fusion by Multivariate Curve Resolution. DATA HANDLING IN SCIENCE AND TECHNOLOGY 2019. [DOI: 10.1016/b978-0-444-63984-4.00008-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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13
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Navarro-Reig M, Jaumot J, Piña B, Moyano E, Galceran MT, Tauler R. Metabolomic analysis of the effects of cadmium and copper treatment in Oryza sativa L. using untargeted liquid chromatography coupled to high resolution mass spectrometry and all-ion fragmentation. Metallomics 2018; 9:660-675. [PMID: 28480907 DOI: 10.1039/c6mt00279j] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
While the knowledge of plant metabolomes has increased in the last few years, their response to the presence of toxicants is still poorly understood. Here, we analyse the metabolomic changes in Japanese rice (Oryza sativa var. Japonica) upon exposure to heavy metals (Cd(ii) and Cu(ii)) in concentrations from 10 to 1000 μM. After harvesting, rice metabolites were extracted from aerial parts of the plants and analysed by HPLC (HILIC TSK gel amide-80 column) coupled to a mass spectrometer quadrupole-Orbitrap (Q-Exactive). Full scan and all ion fragmentation (AIF) mass spectrometry modes were used during the analysis. The proposed untargeted metabolomics data analysis strategy is based on the application of the multivariate curve resolution alternating least squares (MCR-ALS) method for feature detection, allowing the simultaneous resolution of pure chromatographic profiles and mass spectra of all metabolites present in the analysed rice extracts. All-ion fragmentation data were used to confirm the identification of MCR-ALS resolved metabolites. A total of 112 metabolites were detected, and 97 of them were subsequently identified and confirmed. Pathway analysis of the observed metabolic changes suggested an underlying similarity of the responses of the plant to Cd(ii) and Cu(ii), although the former treatment appeared to be the more severe of the two. In both cases, secondary metabolism and amino acid-, purine-, carbon- and glycerolipid-metabolism pathways were affected, in a pattern consistent with reduction in plant growth and/or photosynthetic capacity and with induction of defence mechanisms to reduce cell damage.
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Affiliation(s)
- Meritxell Navarro-Reig
- Department of Environmental Chemistry, IDAEA-CSIC, Jordi Girona 18-26, 08034 Barcelona, Spain.
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Martínez Bueno MJ, Díaz-Galiano FJ, Rajski Ł, Cutillas V, Fernández-Alba AR. A non-targeted metabolomic approach to identify food markers to support discrimination between organic and conventional tomato crops. J Chromatogr A 2018. [PMID: 29526497 DOI: 10.1016/j.chroma.2018.03.002] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In the last decade, the consumption trend of organic food has increased dramatically worldwide. However, the lack of reliable chemical markers to discriminate between organic and conventional products makes this market susceptible to food fraud in products labeled as "organic". Metabolomic fingerprinting approach has been demonstrated as the best option for a full characterization of metabolome occurring in plants, since their pattern may reflect the impact of both endogenous and exogenous factors. In the present study, advanced technologies based on high performance liquid chromatography-high-resolution accurate mass spectrometry (HPLC-HRAMS) has been used for marker search in organic and conventional tomatoes grown in greenhouse under controlled agronomic conditions. The screening of unknown compounds comprised the retrospective analysis of all tomato samples throughout the studied period and data processing using databases (mzCloud, ChemSpider and PubChem). In addition, stable nitrogen isotope analysis (δ15N) was assessed as a possible indicator to support discrimination between both production systems using crop/fertilizer correlations. Pesticide residue analyses were also applied as a well-established way to evaluate the organic production. Finally, the evaluation by combined chemometric analysis of high-resolution accurate mass spectrometry (HRAMS) and δ15N data provided a robust classification model in accordance with the agricultural practices. Principal component analysis (PCA) showed a sample clustering according to farming systems and significant differences in the sample profile was observed for six bioactive components (L-tyrosyl-L-isoleucyl-L-threonyl-L-threonine, trilobatin, phloridzin, tomatine, phloretin and echinenone).
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Affiliation(s)
- María Jesús Martínez Bueno
- University of Almería, Department of Physics and Chemistry, Agrifood Campus of International Excellence (ceiA3), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120, Almería, Spain
| | - Francisco José Díaz-Galiano
- University of Almería, Department of Physics and Chemistry, Agrifood Campus of International Excellence (ceiA3), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120, Almería, Spain
| | - Łukasz Rajski
- University of Almería, Department of Physics and Chemistry, Agrifood Campus of International Excellence (ceiA3), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120, Almería, Spain
| | - Víctor Cutillas
- University of Almería, Department of Physics and Chemistry, Agrifood Campus of International Excellence (ceiA3), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120, Almería, Spain
| | - Amadeo R Fernández-Alba
- University of Almería, Department of Physics and Chemistry, Agrifood Campus of International Excellence (ceiA3), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120, Almería, Spain.
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15
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Pérez-Outeiral J, Elcoroaristizabal S, Amigo JM, Vidal M. Development and validation of a method for the determination of regulated fragrance allergens by High-Performance Liquid Chromatography and Parallel Factor Analysis 2. J Chromatogr A 2017; 1526:82-92. [DOI: 10.1016/j.chroma.2017.10.034] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 10/11/2017] [Accepted: 10/12/2017] [Indexed: 10/18/2022]
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16
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Ortiz-Villanueva E, Benavente F, Piña B, Sanz-Nebot V, Tauler R, Jaumot J. Knowledge integration strategies for untargeted metabolomics based on MCR-ALS analysis of CE-MS and LC-MS data. Anal Chim Acta 2017; 978:10-23. [DOI: 10.1016/j.aca.2017.04.049] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 03/07/2017] [Accepted: 04/25/2017] [Indexed: 12/15/2022]
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17
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Navarro-Reig M, Jaumot J, van Beek TA, Vivó-Truyols G, Tauler R. Chemometric analysis of comprehensive LC×LC-MS data: Resolution of triacylglycerol structural isomers in corn oil. Talanta 2016; 160:624-635. [DOI: 10.1016/j.talanta.2016.08.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Revised: 07/28/2016] [Accepted: 08/01/2016] [Indexed: 12/30/2022]
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18
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Shariati-Rad M, Irandoust M, Niazi F. Determination of nitrite in food samples by second-order calibration of kinetic spectrophotometric data. JOURNAL OF ANALYTICAL CHEMISTRY 2016. [DOI: 10.1134/s1061934816070121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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19
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Rostami A, Abdollahi H, Maeder M. Enhanced target factor analysis. Anal Chim Acta 2016; 911:35-41. [PMID: 26893084 DOI: 10.1016/j.aca.2016.01.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Revised: 12/17/2015] [Accepted: 01/11/2016] [Indexed: 11/19/2022]
Abstract
Target testing or target factor analysis, TFA, is a well-established soft analysis method. TFA answers the question whether an independent target test vector measured at the same wavelengths as the collection of spectra in a data matrix can be excluded as the spectrum of one of the components in the system under investigation. Essentially, TFA cannot positively prove that a particular test spectrum is the true spectrum of one of the components, it can, only reject a spectrum. However, TFA will not reject, or in other words TFA will accept, many spectra which cannot be component spectra. Enhanced Target Factor Analysis, ETFA addresses the above problem. Compared with traditional TFA, ETFA results in a significantly narrower range of positive results, i.e. the chance of a false positive test result is dramatically reduced. ETFA is based on feasibility testing as described in Refs. [16-19]. The method has been tested and validated with computer generated and real data sets.
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Affiliation(s)
- Akram Rostami
- Department of Chemistry, Institute for Advanced Studies in Basic Sciences, P.O. Box 45195-1159, Zanjan, Iran; Department of Chemistry, University of Newcastle, Callaghan, New South Wales, 2308, Australia.
| | - Hamid Abdollahi
- Department of Chemistry, Institute for Advanced Studies in Basic Sciences, P.O. Box 45195-1159, Zanjan, Iran.
| | - Marcel Maeder
- Department of Chemistry, University of Newcastle, Callaghan, New South Wales, 2308, Australia.
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de Juan A, Tauler R. Multivariate Curve Resolution-Alternating Least Squares for Spectroscopic Data. DATA HANDLING IN SCIENCE AND TECHNOLOGY 2016. [DOI: 10.1016/b978-0-444-63638-6.00002-4] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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21
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Navarro-Reig M, Jaumot J, García-Reiriz A, Tauler R. Evaluation of changes induced in rice metabolome by Cd and Cu exposure using LC-MS with XCMS and MCR-ALS data analysis strategies. Anal Bioanal Chem 2015; 407:8835-47. [PMID: 26403240 DOI: 10.1007/s00216-015-9042-2] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 09/07/2015] [Accepted: 09/10/2015] [Indexed: 12/25/2022]
Abstract
The comprehensive analysis of untargeted metabolomics data acquired using LC-MS is still a major challenge. Different data analysis tools have been developed in recent years such as XCMS (various forms (X) of chromatography mass spectrometry) and multivariate curve resolution alternating least squares (MCR-ALS)-based strategies. In this work, metabolites extracted from rice tissues cultivated in an environmental test chamber were subjected to untargeted full-scan LC-MS analysis, and the obtained data sets were analyzed using XCMS and MCR-ALS. These approaches were compared in the investigation of the effects of copper and cadmium exposure on rice tissue (roots and aerial parts) samples. Both methods give, as a result of their application, the whole set of resolved elution and spectra profiles of the extracted metabolites in control and metal-treated samples, as well as the values of their corresponding chromatographic peak areas. The effects caused by the two considered metals on rice samples were assessed by further chemometric analysis and statistical evaluation of these peak area values. Results showed that there was a statistically significant interaction between the considered factors (type of metal of treatment and tissue). Also, the discrimination of the samples according to both factors was possible. A tentative identification of the most discriminant metabolites (biomarkers) was assessed. It is finally concluded that both XCMS- and MCR-ALS-based strategies provided similar results in all the considered cases despite the completely different approaches used by these two methods in the chromatographic peak resolution and detection strategies. Finally, advantages and disadvantages of using these two methods are discussed. Graphical Abstract Summary of the workflow for untargeted metabolomics using the compared approaches.
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Affiliation(s)
- Meritxell Navarro-Reig
- Department of Environmental Chemistry, IDAEA-CSIC, Jordi Girona 18-26, 08034, Barcelona, Spain
| | - Joaquim Jaumot
- Department of Environmental Chemistry, IDAEA-CSIC, Jordi Girona 18-26, 08034, Barcelona, Spain.
| | - Alejandro García-Reiriz
- Department of Environmental Chemistry, IDAEA-CSIC, Jordi Girona 18-26, 08034, Barcelona, Spain.,Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Instituto de Química Rosario (IQUIR-CONICET), Suipacha 531, Rosario, S2002LRK, Argentina
| | - Romà Tauler
- Department of Environmental Chemistry, IDAEA-CSIC, Jordi Girona 18-26, 08034, Barcelona, Spain
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22
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Bordagaray A, Amigo JM. Modelling highly co-eluted peaks of analytes with high spectral similarity. Trends Analyt Chem 2015. [DOI: 10.1016/j.trac.2015.02.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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23
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Vosough M, Rashvand M, Esfahani HM, Kargosha K, Salemi A. Direct analysis of six antibiotics in wastewater samples using rapid high-performance liquid chromatography coupled with diode array detector: A chemometric study towards green analytical chemistry. Talanta 2015; 135:7-17. [DOI: 10.1016/j.talanta.2014.12.036] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 12/19/2014] [Accepted: 12/22/2014] [Indexed: 11/25/2022]
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24
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Erny GL, Moeenfard M, Alves A. Liquid chromatography with diode array detection combined with spectral deconvolution for the analysis of some diterpene esters in Arabica coffee brew. J Sep Sci 2015; 38:612-20. [DOI: 10.1002/jssc.201401095] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 12/02/2014] [Accepted: 12/04/2014] [Indexed: 12/11/2022]
Affiliation(s)
- Guillaume L. Erny
- LEPABE; Faculdade de Engenharia; Universidade do Porto; Porto Portugal
| | - Marzieh Moeenfard
- LEPABE; Faculdade de Engenharia; Universidade do Porto; Porto Portugal
| | - Arminda Alves
- LEPABE; Faculdade de Engenharia; Universidade do Porto; Porto Portugal
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25
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26
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Gorrochategui E, Casas J, Porte C, Lacorte S, Tauler R. Chemometric strategy for untargeted lipidomics: Biomarker detection and identification in stressed human placental cells. Anal Chim Acta 2015; 854:20-33. [DOI: 10.1016/j.aca.2014.11.010] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2014] [Revised: 10/20/2014] [Accepted: 11/06/2014] [Indexed: 10/24/2022]
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27
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de Oliveira RR, de Lima KMG, Tauler R, de Juan A. Application of correlation constrained multivariate curve resolution alternating least-squares methods for determination of compounds of interest in biodiesel blends using NIR and UV–visible spectroscopic data. Talanta 2014; 125:233-41. [DOI: 10.1016/j.talanta.2014.02.073] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2013] [Revised: 02/25/2014] [Accepted: 02/28/2014] [Indexed: 10/25/2022]
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28
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Vosough M, Mohamedian H, Salemi A, Baheri T. Multivariate curve resolution-assisted determination of pseudoephedrine and methamphetamine by HPLC-DAD in water samples. J Chromatogr Sci 2014; 53:233-9. [PMID: 24920656 DOI: 10.1093/chromsci/bmu046] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
In the present study, a simple strategy based on solid-phase extraction (SPE) with a cation exchange sorbent (Finisterre SCX) followed by fast high-performance liquid chromatography (HPLC) with diode array detection coupled with chemometrics tools has been proposed for the determination of methamphetamine and pseudoephedrine in ground water and river water. At first, the HPLC and SPE conditions were optimized and the analytical performance of the method was determined. In the case of ground water, determination of analytes was successfully performed through univariate calibration curves. For river water sample, multivariate curve resolution and alternating least squares was implemented and the second-order advantage was achieved in samples containing uncalibrated interferences and uncorrected background signals. The calibration curves showed good linearity (r(2) > 0.994).The limits of detection for pseudoephedrine and methamphetamine were 0.06 and 0.08 μg/L and the average recovery values were 104.7 and 102.3% in river water, respectively.
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Affiliation(s)
- Maryam Vosough
- Chemistry and Chemical Engineering Research Centre of Iran, Tehran, Iran
| | - Hadi Mohamedian
- Chemistry and Chemical Engineering Research Centre of Iran, Tehran, Iran
| | - Amir Salemi
- Environmental Sciences Research Institute (ESRI), Shahid Beheshti University, G.C, Tehran, Iran
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29
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Parastar H, Akvan N. Multivariate curve resolution based chromatographic peak alignment combined with parallel factor analysis to exploit second-order advantage in complex chromatographic measurements. Anal Chim Acta 2014; 816:18-27. [DOI: 10.1016/j.aca.2014.01.051] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2013] [Revised: 01/03/2014] [Accepted: 01/27/2014] [Indexed: 11/24/2022]
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30
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Haas S, Plivelic TS, Dicko C. Combined SAXS/UV-vis/Raman as a diagnostic and structure resolving tool in materials and life sciences applications. J Phys Chem B 2014; 118:2264-73. [PMID: 24484407 DOI: 10.1021/jp412229j] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
In order to diagnose and fully correlate structural, chemical, and functional features of macromolecules and particles in solution, we propose the integration of spectroscopy and scattering on the same measuring volume and at the same time in a dedicated sample environment with multiple probes. Combined SAXS/UV-vis and SAXS/Raman information are employed to study the radiation damage effect in proteins in solution and the scattering from single wall carbon nanotubes (SWNTs) in SDS dispersion, respectively. In the first case, a clear correlation is observed between the time dependence of the radius of gyration (Rg) of the protein determined by SAXS and the turbidity of the protein solution extracted from simultaneous UV-vis measurements. In the second case, the ratio of bundled/isolated carbon nanotubes is obtained unambiguously through proper modeling of the scattering data and cross-validated with the Raman information. The uses of convex constraint analysis (CCA) and two-dimensional correlation analyses (2DCOS and 2DHCOS) are introduced to fully explore the combination of data sets from different techniques and to extract unique insights from the sample.
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Affiliation(s)
- Sylvio Haas
- MAX IV Laboratory, Lund University , P.O. Box 118, SE-22100 Lund, Sweden
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31
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Chemometrics enhanced HPLC–DAD performance for rapid quantification of carbamazepine and phenobarbital in human serum samples. Talanta 2014; 119:17-23. [DOI: 10.1016/j.talanta.2013.10.026] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2013] [Revised: 10/14/2013] [Accepted: 10/16/2013] [Indexed: 11/21/2022]
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32
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Beskers TF, Brandstetter M, Kuligowski J, Quintás G, Wilhelm M, Lendl B. High performance liquid chromatography with mid-infrared detection based on a broadly tunable quantum cascade laser. Analyst 2014; 139:2057-64. [DOI: 10.1039/c3an01546g] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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33
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Parastar H. Mutual information concept for evaluation of separation quality in hyphenated chromatographic measurements. Analyst 2014; 139:2574-82. [DOI: 10.1039/c3an02027d] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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34
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Parastar H, Tauler R. Multivariate Curve Resolution of Hyphenated and Multidimensional Chromatographic Measurements: A New Insight to Address Current Chromatographic Challenges. Anal Chem 2013; 86:286-97. [DOI: 10.1021/ac402377d] [Citation(s) in RCA: 110] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Hadi Parastar
- Department
of Chemistry, University of Isfahan, Isfahan 81746-73441, Iran
| | - Roma Tauler
- Department
of Environmental Chemistry, IDAEA-CSIC, Jordi Girona, 18, Barcelona 08034, Spain
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35
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Vosough M, Mashhadiabbas Esfahani H. Fast HPLC-DAD quantification procedure for selected sulfonamids, metronidazole and chloramphenicol in wastewaters using second-order calibration based on MCR-ALS. Talanta 2013; 113:68-75. [DOI: 10.1016/j.talanta.2013.03.049] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2013] [Revised: 03/18/2013] [Accepted: 03/20/2013] [Indexed: 11/25/2022]
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36
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Parastar H, Ebrahimi-Najafabadi H, Jalali-Heravi M. Multivariate curve resolution-particle swarm optimization: A high-throughput approach to exploit pure information from multi-component hyphenated chromatographic signals. Anal Chim Acta 2013; 772:16-25. [DOI: 10.1016/j.aca.2013.02.042] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2012] [Revised: 12/04/2012] [Accepted: 02/25/2013] [Indexed: 11/29/2022]
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37
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Determination of phenolic compounds and authentication of PDO Lambrusco wines by HPLC-DAD and chemometric techniques. Anal Chim Acta 2013; 761:34-45. [DOI: 10.1016/j.aca.2012.11.015] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2012] [Revised: 11/03/2012] [Accepted: 11/12/2012] [Indexed: 11/18/2022]
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38
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Introduction. ACTA ACUST UNITED AC 2013. [DOI: 10.1016/b978-0-444-59528-7.00001-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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39
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Wehrens R, Carvalho E, Masuero D, de Juan A, Martens S. High-throughput carotenoid profiling using multivariate curve resolution. Anal Bioanal Chem 2012; 405:5075-86. [DOI: 10.1007/s00216-012-6555-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2012] [Revised: 10/29/2012] [Accepted: 11/06/2012] [Indexed: 12/20/2022]
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40
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Khataee AR, Naseri A, Zarei M, Safarpour M, Moradkhannejhad L. Chemometrics approach for determination and optimization of simultaneous photooxidative decolourization of a mixture of three textile dyes. ENVIRONMENTAL TECHNOLOGY 2012; 33:2305-2317. [PMID: 23393972 DOI: 10.1080/09593330.2012.665495] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
In this paper simultaneous photooxidation of three textile dyes (CI Basic Red 46 (BR46), Malachite Green (MG) and CI Basic Blue 3 (BB3)) by UV/H2O2 process is reported. A rapid analytical methodology based on recording UV-Vis spectra during the photooxidative decolourization process and the data treatment using multivariate curve resolution with alternating least squares (MCR-ALS) was developed. The three textile dyes were quantified simultaneously despite the overlap of their spectra. Also, the central composite design was applied for optimization of the photooxidative decolourization of the solution containing three dyes using the UV/H2O2 process. The investigated factors (variables) were the reaction time, initial concentration of the three dyes and initial concentration of H2O2. The optimum initial concentration of the three dyes, H2O2 initial concentration and reaction time were found to be 4 mg/L, 48 mg/L and 30 min, respectively. The photodegradation products of three dyes were identified by the GC-MS technique.
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Affiliation(s)
- A R Khataee
- Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.
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41
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Chromatographic fingerprint analysis of secondary metabolites in citrus fruits peels using gas chromatography–mass spectrometry combined with advanced chemometric methods. J Chromatogr A 2012; 1251:176-187. [DOI: 10.1016/j.chroma.2012.06.011] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2012] [Revised: 05/30/2012] [Accepted: 06/03/2012] [Indexed: 11/24/2022]
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42
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Photoelectro-Fenton/nanophotocatalysis decolorization of three textile dyes mixture: Response surface modeling and multivariate calibration procedure for simultaneous determination. J Electroanal Chem (Lausanne) 2012. [DOI: 10.1016/j.jelechem.2012.03.010] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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43
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Xintian Z, Haibin Q. Characterisation of the degradation of salvianolic acid B using an on-line spectroscopic analysis system and multivariate curve resolution. PHYTOCHEMICAL ANALYSIS : PCA 2012; 23:103-109. [PMID: 21692119 DOI: 10.1002/pca.1330] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2010] [Revised: 02/22/2011] [Accepted: 02/22/2011] [Indexed: 05/30/2023]
Abstract
INTRODUCTION Chinese herbal medicines contain complex ingredients that are unstable during the manufacturing process. Current off-line methods are usually time-consuming and inaccurate. OBJECTIVE The aim of this study was to develop a continuous-flow-based on-line spectroscopic system for monitoring the degradation of unstable compounds in Chinese herbal medicines. METHODOLOGY An on-line spectroscopic analysis system in the evaluation of the degradation of unstable compounds was implemented, using salvianolic acid B from Danshen (Radix Salviae Miltiorrhizae) as a model compound. Resolution of the mixture spectra obtained during the reaction was performed with multivariate curve resolution (MCR), and the pure spectra and kinetic profiles of reactant species were reconstructed. RESULTS The degradation process of salvianolic acid B is probably a consecutive two-step reaction of the form A → B → C, where A is salvianolic acid B, and B and C are the intermediate and final products, respectively. The intermediate and final products were suggested to be a mixture of lithospermic acid and danshensu [3-(3, 4-dihydroxyphenyl) lactic acid], and a mixture of danshensu and salvianolic acid A, respectively. CONCLUSION The findings suggested that the combined use of on-line spectroscopic analysis and MCR might be a cheap, readily available, sensitive tool to monitor the transformation of unstable components of Chinese herbal medicines.
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Affiliation(s)
- Zheng Xintian
- Pharmaceutical Informatics Institute, Zhejiang University, Hangzhou 310058, People's Republic of China
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44
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Selective comprehensive multidimensional separation for resolution enhancement in high performance liquid chromatography. Part II: Applications. J Chromatogr A 2012; 1228:41-50. [DOI: 10.1016/j.chroma.2011.06.038] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2011] [Revised: 05/27/2011] [Accepted: 06/09/2011] [Indexed: 11/30/2022]
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45
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Mas S, Tauler R, de Juan A. Chromatographic and spectroscopic data fusion analysis for interpretation of photodegradation processes. J Chromatogr A 2011; 1218:9260-8. [DOI: 10.1016/j.chroma.2011.10.035] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2011] [Revised: 09/30/2011] [Accepted: 10/14/2011] [Indexed: 11/28/2022]
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46
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Vosough M, Mojdehi NR. Fast liquid chromatography-diode array detection assisted by chemometrics for quantification of seven ultraviolet filters in effluent wastewater. Talanta 2011; 85:2175-81. [DOI: 10.1016/j.talanta.2011.07.068] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2011] [Revised: 07/18/2011] [Accepted: 07/19/2011] [Indexed: 11/28/2022]
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47
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Jalali-Heravi M, Parastar H. Recent trends in application of multivariate curve resolution approaches for improving gas chromatography–mass spectrometry analysis of essential oils. Talanta 2011; 85:835-49. [DOI: 10.1016/j.talanta.2011.05.045] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2011] [Revised: 05/15/2011] [Accepted: 05/18/2011] [Indexed: 11/16/2022]
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48
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Erny GL, Calisto V, Esteves VI. Noise normalisation in capillary electrophoresis using a diode array detector. J Sep Sci 2011; 34:1703-7. [DOI: 10.1002/jssc.201100243] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2011] [Revised: 04/14/2011] [Accepted: 04/15/2011] [Indexed: 11/11/2022]
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49
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Kuligowski J, Quintás G, Tauler R, Lendl B, de la Guardia M. Background Correction and Multivariate Curve Resolution of Online Liquid Chromatography with Infrared Spectrometric Detection. Anal Chem 2011; 83:4855-62. [DOI: 10.1021/ac2004407] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Julia Kuligowski
- Department of Analytical Chemistry, University of Valencia, Edificio Jerónimo Muñoz, 50th Dr. Moliner, E-46100 Burjassot, Spain
| | - Guillermo Quintás
- Bio InVitro Division, Leitat Technological Center, de la Innovacio 2, E-08225 Terrassa, Spain
| | - Romà Tauler
- Environmental Chemometrics Group, Department of Environmental Chemistry, Institute for Chemical and Environmental Research, CID-CSIC, Jordi Girona 18, E-08034 Barcelona, Spain
| | - Bernhard Lendl
- Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/164, A-1060 Vienna, Austria
| | - Miguel de la Guardia
- Department of Analytical Chemistry, University of Valencia, Edificio Jerónimo Muñoz, 50th Dr. Moliner, E-46100 Burjassot, Spain
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50
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Rapid analysis of multicomponent pesticide mixture by GC–MS with the aid of chemometric resolution. Talanta 2011; 83:1247-53. [DOI: 10.1016/j.talanta.2010.07.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2010] [Revised: 06/25/2010] [Accepted: 07/01/2010] [Indexed: 11/22/2022]
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