2004
DOI: 10.1016/j.microc.2004.03.006
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A novel strategy to verification of adulteration in alcoholic beverages based on Schlieren effect measurements and chemometric techniques

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Cited by 44 publications
(19 citation statements)
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“…The proposed models were able to classify 100% of the Riesling and 96% of the Chardonnay wines. An automatic FIA system with high sample throughput and low sample consumption was developed (Costa et al, 2004) to classify and verify the adulteration of distilled alcoholic beverages. The analysis was carried out by the application of PCA and SIMCA chemometric models elaborated from Schlieren effect measurements.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed models were able to classify 100% of the Riesling and 96% of the Chardonnay wines. An automatic FIA system with high sample throughput and low sample consumption was developed (Costa et al, 2004) to classify and verify the adulteration of distilled alcoholic beverages. The analysis was carried out by the application of PCA and SIMCA chemometric models elaborated from Schlieren effect measurements.…”
Section: Introductionmentioning
confidence: 99%
“…11 A number of other techniques, including liquid chromatography, have been explored. 1214 Prior work focusing on the detection of alcohols by DART-MS proved it was possible with sample derivatization. 15 This work highlights the ability of DART-MS to analyze these potential adulterants without derivatization as both neat samples, and in the complex solutions of common beverages.…”
Section: Introductionmentioning
confidence: 99%
“…Later, the same authors [16] tried to combine the schlieren effect measurement with the data generated by chemometric techniques to verify the adulteration of distilled alcoholic beverages. A different type of flow-based system, single interface flow analysis (SIFA) [17] was also used for the development of a system for the quantification of ethanol in spirits and white wine also based on the schlieren effect measurement.…”
Section: Introductionmentioning
confidence: 99%