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Direct quantification of sulfur dioxide in wine by Surface Enhanced Raman Spectroscopy

机译:通过表面增强拉曼光谱直接定量红酒二氧化硫

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摘要

A rapid Surface Enhanced Raman Spectroscopy (SERS) method to detect SO2 in wine is presented, exploiting the preferential binding of silver nanoparticles (AgNPs) with sulfur-containing species. This interaction promotes the agglomeration of the AgNPs and inducing the formation of SERS "hot spots" responsible for SO2 signals enhancement. For increasing SO2 concentrations from 0 to100 mg/l in wine simulant, SERS intensity showed an increasing trend, following a Langmuir absorption function (R-2 = 0.94). Due to the wine matrix variability, a standard additions method was then employed for quantitative analysis in red and white wines. This method does not require the SO2 separation but only a matrix pre-cleaning by solid phase extraction. The limit of detection (LOD) was defined for each wine tested, ranging from 0.6 mg/l to 9.6 mg/l. The results obtained were validated by comparison with the International Organization of Vine and Wine method (OIV-MA-AS323-04A).
机译:提出了一种快速表面增强的拉曼光谱(SERS)方法以检测葡萄酒中的SO2,利用含硫纳米颗粒(AgNP)的优先结合与含硫物质。该相互作用促进了AgNP的附聚并诱导SERS“热点”的形成,负责SO2信号增强。对于在葡萄酒模拟器中增加0至100mg / L的SO2浓度,SERs强度显示出朗米疹吸收函数(R-2 = 0.94)后的趋势越来越大。由于葡萄酒基质变异性,然后使用标准添加方法进行红色和白色葡萄酒的定量分析。该方法不需要SO2分离,而是仅通过固相提取进行矩阵预清洗。对测试的每种葡萄酒定义检测极限(测定0.6mg / L至9.6mg / L.通过与国际葡萄和葡萄酒方法的国际组织(OIV-MA-AS323-04A)进行了验证所获得的结果。

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