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Atractylodin targeted visual fluorescence sensor based on N-acetyl-L-cysteine capped CdTe QDs for the rapid identification of the geographical origin of Atractylodis Rhizome
Microchemical Journal ( IF 4.9 ) Pub Date : 2024-04-29 , DOI: 10.1016/j.microc.2024.110508
Xintian Wang , Hengye Chen , Yao Fan , Wei Lan , Juan He , Haiyan Fu , Xiaolong Yang

The economic and medicinal value of Atractylodis Rhizoma (AR) is intricately tied to its geographical origin and mainly depends on the atractylodin (IUPAC Name: 2-[(1E,7E)-nona-1,7-dien-3,5-diynyl]furan) content in it. In this study, a green fluorescent sensor using N-acetyl-L-cysteine (NAC, IUPAC Name: (2R)-2-acetamido-3-sulfanylpropanoic acid)-capped CdTe quantum dots (QDs) was developed for the detection of AR origin discrimination. Both electron transfer and internal filtration effects was introduced into sensor to improve the sensitivity and selectivity. The sensors can achieve visual quantitative analysis of atractylodin using the partial least squares regression (PLSR) model. This model with a detection limit of 0.321 µg /mL and the quantification range of 0.002–0.030 mg /mL. Furthermore, the visual sensor also could be applied to the quantification of atractylodin in the actual AR samples with recoveries as high as 95.36 % to 105 %. Their sensor was also able to identify different origin of AR with an accuracy of 100 % for the training set and 95.29 % for the prediction set using the partial least squares discriminant analysis (PLSDA) model. The method offers direction for verifying the authenticity of traditional Chinese medicine and precise analysis of intended constituents in complex systems.

中文翻译:


基于N-乙酰-L-半胱氨酸封端的白术靶向视觉荧光传感器用于白术根茎地理来源的快速鉴定



白术 (AR) 的经济和药用价值与其地理来源错综复杂地联系在一起,主要取决于其中的白术素(IUPAC 名称:2-[(1E,7E)-nona-1,7-dien-3,5-diynyl]呋喃)含量。在这项研究中,开发了一种使用 N-乙酰基-L-半胱氨酸 (NAC,IUPAC 名称:(2R)-2-乙酰氨基-3-磺酰丙酸)封端的 CdTe 量子点 (QD) 的绿色荧光传感器,用于检测 AR 来源鉴别。在传感器中引入电子传递和内部过滤效应,以提高灵敏度和选择性。传感器可以使用偏最小二乘回归 (PLSR) 模型实现白术素的视觉定量分析。该型号的检测限为 0.321 μg /mL,定量范围为 0.002–0.030 mg /mL。此外,视觉传感器还可以应用于实际 AR 样品中白术素的定量,回收率高达 95.36 % 至 105%。他们的传感器还能够使用偏最小二乘判别分析 (PLSDA) 模型识别 AR 的不同来源,训练集的准确率为 100%,预测集的准确率为 95.29%。该方法为验证传统中药的真实性和精确分析复杂系统中的预期成分提供了方向。
更新日期:2024-04-29
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