这一贡献旨在设计和验证一种新的绿色,便宜,以及快速测定不同基质中抗GERD药物泮托拉唑的方法。新型S和N掺杂碳纳米材料(S,N-CNM)是通过微波辐射广泛使用的家庭来源的混合物制备的。值得注意的是,利用尿素和硫脲与食糖的混合物产生S,N-CNM表现出最大的量子产率(54%),亲水性,以及稳定,同质,和小粒度分布。傅里叶变换红外光谱,透射电子显微镜,分光光度法,和荧光光谱法用于表征S,N-CNM。S,N-CNMs已被用作关闭荧光探针,通过内部过滤效应和静态猝灭机制的协同作用来确定泮托拉唑。在1.0-25.0µg/mL的范围内,荧光猝灭与泮托拉唑浓度线性相关,检出限为0.16µg/mL。在存在物质可变性的情况下,开发的探针对泮托拉唑表现出良好的选择性。因此,用于片剂和小瓶中泮托拉唑的质量控制,平均回收率为100.10±0.77%和100.33±0.92%,分别。此外,成功实施了泮托拉唑片剂含量均匀度的检测。此外,准备好的S,在简单的蛋白沉淀步骤后,N-CNM已成功用于分析人血浆中的泮托拉唑,回收率为97.88±5.72%。最近的工具对所开发方法的绿色和蓝色进行了积极评估,表明所开发方法的生态友好性和适用性。
This contribution aims to design and validate a new green, cheap, and fast approach for determining the anti-GERD drug pantoprazole in different matrices. New S and N-doped carbon nanomaterials (S,N-CNMs) have been prepared via microwave irradiation of a mixture of widely available household sources. Remarkably, the utilization of a blend of carbamide and thiocarbamide with table sugar yields S,N-CNMs exhibiting the utmost quantum yield (54 %), hydrophilicity, as well as stable, homogeneous, and diminutive particle size distribution. Fourier transform infrared spectroscopy, transmission electron microscopy, spectrophotometry, and fluorescence spectroscopy were applied to characterize the S,N-CNMs. The S,N-CNMs have been used as a turn-off fluorescence probe to determine pantoprazole via a synergism of the inner filter effect and static quenching mechanisms. The fluorescence quenching is linearly correlated to pantoprazole concentration over the range of 1.0-25.0 µg/mL with a detection limit of 0.16 µg/mL. The developed probe exhibited good selectivity for pantoprazole in the presence of variability of substances. Therefore, it was applied for quality control of pantoprazole in pharmaceutical tablets and vials with an average recovery % of 100.10 ± 0.77 % and 100.33 ± 0.92 %, respectively. Moreover, it was successfully implemented to examine the content uniformity of pantoprazole in tablets. Furthermore, the prepared S,N-CNMs have been successfully used for the analysis of pantoprazole in human plasma after a simple protein precipitation step with a recovery % of 97.88 ± 5.72 %. The greenness and blueness of the developed method have been positively assessed by recent tools showing the eco-friendliness and applicability of the developed method.