Pavlova Arina, Maleeva Ksenia, Moskalenko Ivan V, Belyaev Vadim, Zhukov Mikhail V, Kirilenko Demid, Bogdanov Kirill V, Smirnov Evgeny
Infochemistry Scientific Center, ITMO University, Lomonosova Str. 9, 191002 St. Petersburg, Russia.
International Research and Educational Center for Physics of Nanostructures, ITMO University, Birzhevaya Liniya, 14, 197101 St. Petersburg, Russia.
Int J Mol Sci. 2024 Nov 28;25(23):12785. doi: 10.3390/ijms252312785.
Natural polyphenolic compounds play a pivotal role in biological processes and exhibit notable antioxidant activity. Among these compounds, chlorogenic acid stands out as one of the most widespread and important polyphenols. The accurate detection of chlorogenic acid is crucial for ensuring the quality and classification of the raw materials used in its extraction, as well as the final products in the food, pharmaceutical, and cosmetics industries that contain this bioactive compound. Raman spectroscopy emerges as a powerful analytical tool, particularly in field applications, due to its versatility and sensitivity, offering both qualitative and quantitative analyses. By using the self-assembly of gold nanoparticles at liquid-liquid interfaces and the developed "aqua-print" process, we propose a facile and inexpensive route to fabricate enhanced substrates for surface-enhanced Raman spectroscopy with high reproducibility. To ensure substrate reliability and accurate molecule detection in SERS experiments, a benchmarking procedure was developed. This process involved the use of non-resonant rhodamine 6G dye in the absence of charge transfer and was applied to all synthesized nanoparticles and fabricated substrates. The latter revealed the highest enhancement factor of 4 × 10 for 72 nm gold nanoparticles among nanoparticle diameters ranging from 14 to 99 nm. Furthermore, the enhanced substrate was implemented in the detection of chlorogenic acid with a concentration range from 10 μM to 350 μM, demonstrating high accuracy (R > 99%). Raman mapping was employed to validate the good uniformity of the signal (the standard deviation was below 15%). The findings of this study were also supported by DFT calculations of the theoretical Raman spectra, demonstrating the formation of the chlorogenic acid dimer. The proposed method is strategically important for the development of the class of in-field methods to detect polyphenolic compounds in raw materials such as plants, extracted plant proteins, and polyphenolic compounds.
天然多酚化合物在生物过程中发挥着关键作用,并具有显著的抗氧化活性。在这些化合物中,绿原酸是分布最广、最重要的多酚之一。准确检测绿原酸对于确保其提取所用原材料以及食品、制药和化妆品行业中含有这种生物活性化合物的最终产品的质量和分类至关重要。拉曼光谱作为一种强大的分析工具,因其多功能性和灵敏度,尤其在现场应用中脱颖而出,可提供定性和定量分析。通过利用金纳米粒子在液 - 液界面的自组装以及开发的“水印花”工艺,我们提出了一种简便且廉价的途径来制备具有高重现性的表面增强拉曼光谱增强基底。为确保表面增强拉曼光谱实验中基底的可靠性和分子检测的准确性,开发了一种基准程序。该过程涉及在不存在电荷转移的情况下使用非共振罗丹明6G染料,并应用于所有合成的纳米粒子和制备的基底。在直径范围为14至99 nm的纳米粒子中,后者显示72 nm金纳米粒子的最高增强因子为4×10。此外,该增强基底用于检测浓度范围为10 μM至350 μM的绿原酸,显示出高准确性(R>99%)。采用拉曼映射来验证信号的良好均匀性(标准偏差低于15%)。本研究的结果还得到了绿原酸二聚体理论拉曼光谱的密度泛函理论计算的支持。所提出的方法对于开发用于检测植物、提取的植物蛋白和多酚化合物等原材料中多酚化合物的现场方法具有重要的战略意义。