Peng Chun-Hsiang, Wang Tsung-Yuan, Chueh Chen-Yu, Wu Tsunghsueh, Chou Jyh-Pin, Wu Mei-Yao, Lin Yang-Wei
Department of Chemistry, National Changhua University of Education, 1 Jin-De Road, Changhua City 50007, Taiwan.
Department of Chemistry, University of Wisconsin-Platteville, 1 University Plaza, Platteville, Wisconsin 53818-3099, United States.
ACS Omega. 2024 Aug 23;9(36):38217-38226. doi: 10.1021/acsomega.4c05826. eCollection 2024 Sep 10.
This study introduces a novel one-pot method employing tannic acid (TA) to synthesize stable gold nanoparticles (TA-AuNPs), which are characterized using transmission electron microscopy, X-ray powder diffraction, and Fourier transform infrared spectroscopy. We apply these TA-AuNPs in a newly developed colorimetric assay for hydrogen peroxide (HO) detection that utilizes the oxidation of iodide (I) on TA-AuNPs, leading to a detectable yellow color change in the solution. The reaction kinetics are captured by the rate equation R = 0.217[KI][HO]. The possible sensing mechanism was proposed through density functional theory calculations. At the optimum conditions, the proposed TA-AuNPs/I system demonstrated a linear relationship between HO concentration and absorbance intensity (λ = 350 nm) and achieved a limit of detection (LOD) of 7.33 μM. Furthermore, we expand the utility of this approach to glucose detection by integrating glucose oxidase into the system, resulting in a LOD of 10.0 μM. Application of this method to actual urine samples yielded spiked recovery rates ranging from 96.6-102.0% and relative standard deviations between 3.00-8.34%, underscoring its efficacy and potential for real-world bioanalytical challenges.
本研究介绍了一种采用单宁酸(TA)合成稳定金纳米颗粒(TA-AuNPs)的新型一锅法,并用透射电子显微镜、X射线粉末衍射和傅里叶变换红外光谱对其进行了表征。我们将这些TA-AuNPs应用于一种新开发的用于检测过氧化氢(HO)的比色测定法中,该方法利用TA-AuNPs上碘化物(I)的氧化,导致溶液中出现可检测到的黄色颜色变化。反应动力学由速率方程R = 0.217[KI][HO]描述。通过密度泛函理论计算提出了可能的传感机制。在最佳条件下,所提出的TA-AuNPs/I系统在HO浓度与吸光度强度(λ = 350 nm)之间呈现线性关系,检测限(LOD)达到7.33 μM。此外,我们通过将葡萄糖氧化酶整合到系统中,将该方法的应用扩展到葡萄糖检测,检测限为10.0 μM。将该方法应用于实际尿液样本,加标回收率在96.6 - 102.0%之间,相对标准偏差在3.00 - 8.34%之间,突出了其在应对实际生物分析挑战方面的有效性和潜力。