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柠檬酸功能化金纳米粒子辅助傅里叶变换红外光谱法提取牛奶和水样中的 L-半胱氨酸。

Citrate functionalized gold nanoparticles assisted micro extraction of L-cysteine in milk and water samples using Fourier transform infrared spectroscopy.

机构信息

School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur 492010, Chhattisgarh, India.

School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur 492010, Chhattisgarh, India; School of Studies in Environmental Science, Pt. Ravishankar Shukla University, Raipur 492010, Chhattisgarh, India; National Center for Natural Resources, Pt. Ravishankar Shukla University, Raipur 492010, Chhattisgarh, India.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2022 Feb 15;267(Pt 2):120523. doi: 10.1016/j.saa.2021.120523. Epub 2021 Oct 21.

DOI:10.1016/j.saa.2021.120523
PMID:34715558
Abstract

This paper describes the sensing application of citrate functionalized gold nanoparticles (AuNPs) employing for the determination of L-cysteine in food and water samples. It is established with diffuse reflectance Fourier transform infrared (DRS-FTIR) spectroscopic analysis. The disappearance of the thiol (-SH) band in the FTIR spectra and the shift in the peaks of the amino group (NH) and carboxylate group (-COO) indicated the Au-S interaction and the aggregation of the NPs. The signal intensity of L-cysteine was enhanced due to hot-spots formed by the aggregation of AuNPs producing the effective absorption of electromagnetic radiation in the IR region for molecular vibration. The relationship between AuNPs and L-cysteine was theoretically investigated by the Density Function Theory (DFT) based on LANL2DZ with the aid of the Gaussian 09 (C.01) software. Interaction between AuNPs and L-cysteine molecules resulted to a shift to higher wavelengths in the plasmon bands, further verified by transmission electron microscopes (TEM), which have indicated random aggregated particles. Further dynamic light scattering (DLS) measurements showed a relatively high degree of polydispersity confirming the aggregation of the particles. Under optimized conditions, the calibration curve showed a good linearity range from 20 to 150 μg mL with a correlation coefficient (R) 0.990. The limit of detection and quantification were 1.04 and 3.44 μg mL, respectively by DRS-FTIR. This modified AuNPs sample was used successfully in milk and water samples with adequate results to determine L-cysteine.

摘要

本文描述了采用柠檬酸盐功能化金纳米粒子(AuNPs)的传感应用,用于测定食品和水样中的 L-半胱氨酸。它是通过漫反射傅里叶变换红外(DRS-FTIR)光谱分析建立的。FTIR 光谱中巯基(-SH)带的消失和氨基(NH)和羧酸盐(-COO)峰的位移表明 Au-S 相互作用和 NPs 的聚集。由于 AuNPs 的聚集形成热点,增强了 L-半胱氨酸的信号强度,从而在 IR 区域产生了分子振动的电磁辐射的有效吸收。通过基于 LANL2DZ 的密度泛函理论(DFT),并借助 Gaussian 09(C.01)软件,从理论上研究了 AuNPs 和 L-半胱氨酸之间的关系。AuNPs 和 L-半胱氨酸分子之间的相互作用导致等离子体带向更高波长的位移,这进一步通过透射电子显微镜(TEM)得到证实,TEM 表明存在随机聚集的颗粒。进一步的动态光散射(DLS)测量显示出相对较高的多分散性,证实了颗粒的聚集。在优化条件下,校准曲线显示出从 20 到 150μgmL 的良好线性范围,相关系数(R)为 0.990。通过 DRS-FTIR,检测限和定量限分别为 1.04 和 3.44μgmL。该改良的 AuNPs 样品成功用于牛奶和水样中,结果令人满意,可用于测定 L-半胱氨酸。

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