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基于芯片的有机和无机阴离子分离及根据葡萄品种对葡萄酒的多元分析。

Chip-based separation of organic and inorganic anions and multivariate analysis of wines according to grape varieties.

机构信息

Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil.

Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil; Instituto de Química, Universidade Federal Fluminense, 24020-141, Niterói, RJ, Brazil.

出版信息

Talanta. 2021 Aug 15;231:122381. doi: 10.1016/j.talanta.2021.122381. Epub 2021 Apr 1.

Abstract

This report describes the use of electrophoresis microchips integrated with contactless conductivity detection for the determination of organic acids and inorganic anions in wine samples and the subsequent classification based on the grape varieties. The best separation was achieved using a buffer composed of 30 mmol L 2-(N-morpholino)ethanesulfonic acid, 15 mmol Ll-histidine and 0.05 mmol L cetyltrimethylammonium bromide (pH 5.8), allowing the determination of chloride, nitrate, sulfate, oxalate, tartrate, maleate, succinate, citrate, acetate, lactate, pyroglutamate and phosphate within ca. 100 s. The relative standard deviations obtained for the migration times were lower than 2%, while the obtained values for peak areas ranged from 2.5 to 8.4%. The limits of detection achieved for all compounds ranged between 3.0 and 12.6 μmol L. A total of 18 wines from Brazil and Chile were successfully investigated, including red, white and rosé, and the anionic species were quantified with recovery values between 92 and 117%. A statistical difference has not been observed between the data obtained by using electrophoresis microchips integrated with contactless conductivity detection (ME-CD) and capillary electrophoresis with ultra-violet detection (CE-UV) and thus the results from newly developed method is validated. Finally, similarities among the anionic profile of wines were investigated by using a multivariate approach, and it was possible to discriminate samples mainly by grapes varieties. Furthermore, the proposed methodology has provided instrumental simplicity and good analytical performance, demonstrating to be useful for routine quality control of wines.

摘要

本报告描述了电泳芯片与非接触式电导检测联用在葡萄酒样品中有机酸和无机阴离子的测定及其基于葡萄品种的分类。最佳分离条件为 30mmol/L 2-(N-吗啉)乙磺酸、15mmol/L l-组氨酸和 0.05mmol/L 十六烷基三甲基溴化铵(pH5.8)组成的缓冲液,可在约 100s 内测定氯化物、硝酸盐、硫酸盐、草酸盐、酒石酸盐、富马酸盐、琥珀酸盐、柠檬酸盐、醋酸盐、乳酸盐、吡咯烷酮酸和磷酸盐。迁移时间的相对标准偏差低于 2%,而峰面积的测定值在 2.5 至 8.4%之间。所有化合物的检测限均在 3.0 至 12.6μmol/L 之间。成功检测了来自巴西和智利的 18 种葡萄酒,包括红葡萄酒、白葡萄酒和桃红葡萄酒,阴离子种类的定量回收率在 92%至 117%之间。电泳芯片与非接触式电导检测(ME-CD)和毛细管电泳与紫外检测(CE-UV)得到的数据之间没有观察到统计学差异,因此验证了新开发方法的结果。最后,采用多元分析方法研究了葡萄酒阴离子谱之间的相似性,主要可以通过葡萄品种来区分样品。此外,该方法具有仪器简单、分析性能良好的特点,适用于葡萄酒的常规质量控制。

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