Ivanov Ivan I, Zaderko Alexander N, Lysenko Vladimir, Clopeau Thierry, Lisnyak Vladyslav V, Skryshevsky Valeriy A
Institute of High Technologies, Taras Shevchenko National University of Kyiv, Kyiv 01601, Ukraine.
Corporation Science Park Taras Shevchenko University of Kyiv, Kyiv 01033, Ukraine.
ACS Omega. 2021 Jul 12;6(29):18802-18810. doi: 10.1021/acsomega.1c01953. eCollection 2021 Jul 27.
A simple sensitive method for nonspecific recognition of armagnac, cognac, whiskey, and ethanol/water mixture was developed by using photoluminescence (PL) of carbon nanoparticles (NPs). The carbon NPs were synthesized from the mixture of urea and anhydrous citric acid, followed by few annealing processes to achieve the full effect by solvothermal carbonization. PL features of carbon NPs depend on the alcohol environments in which the NPs are dispersed. PL/PL excitation maps of the alcoholic beverages were mathematically treated, and a final principal component analysis diagram allows visualization of different clusters corresponding to each beverage. The optimal measurement conditions (concentration of NPs in colloidal solution and excitation wavelength) were defined to ensure a reliable recognition level.
通过利用碳纳米颗粒(NPs)的光致发光(PL),开发了一种用于非特异性识别雅文邑、干邑、威士忌和乙醇/水混合物的简单灵敏方法。碳纳米颗粒由尿素和无水柠檬酸的混合物合成,随后经过几次退火处理,通过溶剂热碳化实现完全效果。碳纳米颗粒的PL特性取决于纳米颗粒所分散的酒精环境。对酒精饮料的PL/PL激发图进行数学处理,最终的主成分分析图可以直观显示对应于每种饮料的不同聚类。定义了最佳测量条件(胶体溶液中纳米颗粒的浓度和激发波长)以确保可靠的识别水平。