Green Extraction Processes for Complex Samples from Vegetable Matrices Coupled with On-Line Detection System: A Critical Review |
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Authors: | Francisco W. Maciel-Silva,Daniel Lachos-Perez,Luz Selene Buller,William G. Sganzerla,Montserrat Pé rez,Mauricio A. Rostagno,Tania Forster-Carneiro |
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Affiliation: | 1.School of Food Engineering (FEA), University of Campinas (UNICAMP), Campinas 13083-862, SP, Brazil;2.Department of Chemical Engineering, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil;3.Department of Environmental Technologies, University of Cadiz, Campus de Puerto Real, S/N, Puerto Real, 11500 Cadiz, Spain;4.School of Applied Sciences (FCA), University of Campinas (UNICAMP), Limeira 13484-350, SP, Brazil |
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Abstract: | The detection of analytes in complex organic matrices requires a series of analytical steps to obtain a reliable analysis. Sample preparation can be the most time-consuming, prolonged, and error-prone step, reducing the reliability of the investigation. This review aims to discuss the advantages and limitations of extracting bioactive compounds, sample preparation techniques, automation, and coupling with on-line detection. This review also evaluates all publications on this topic through a longitudinal bibliometric analysis, applying statistical and mathematical methods to analyze the trends, perspectives, and hot topics of this research area. Furthermore, state-of-the-art green extraction techniques for complex samples from vegetable matrices coupled with analysis systems are presented. Among the extraction techniques for liquid samples, solid-phase extraction was the most common for combined systems in the scientific literature. In contrast, for on-line extraction systems applied for solid samples, supercritical fluid extraction, ultrasound-assisted extraction, microwave-assisted extraction, and pressurized liquid extraction were the most frequent green extraction techniques. |
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Keywords: | sample preparation green extraction techniques on-line coupling fully automated analysis bibliometric analysis |
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