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    基于锌单钠盐探针的表面增强拉曼光谱法检测水环境中痕量Ni2+研究

    Surface-Enhanced Raman Spectroscopy Detection of Trace Ni2+ in Aquatic Environments Using a Zincon Probe

    • 摘要: 重金属离子因其高毒性和环境持久性对生态系统和人类健康构成严重威胁,因此亟须开发灵敏、选择性强且适用于复杂水体的快速检测技术。本研究以典型污染物镍离子(Ni2+)为对象,选用锌单钠盐(Zincon)作为分子探针,构建了基于聚二烯丙基二甲基氯化铵修饰的银纳米颗粒的表面增强拉曼散射(SERS)检测方法。紫外−可见吸收光谱表征显示,Ni2+配位后Zincon的特征吸收峰由490 nm红移至510 nm,并在665 nm处出现新吸收峰,表明配位作用引起了电子结构重排。通过优化卤素离子种类和浓度、探针浓度及修饰时间,获得了信号强度和重复性均最佳的检测条件。在532 nm激发波长下,730 cm1特征峰强度与Ni2+浓度在10 nmol/L~1 μmol/L范围内呈良好线性关系(R2=0.994 2),检出限低至0.0187 μmol/L,定量限为0.0625 μmol/L,满足电镀废水中痕量Ni2+检测需求。选择性实验表明,该方法具有良好的抗干扰能力和离子识别特异性,其对实际电镀废水中Ni2+的检测结果与原子吸收光谱法高度一致,并在低浓度样品中表现出更低的相对标准偏差(RSD为4.31%),显示出优异的重复性。研究表明,Ni2+-Zincon配合物的电荷转移能级与激发波长匹配是实现高效信号增强的关键机制。本研究为复杂环境样品中重金属离子的快速、灵敏和可靠检测提供了一种新策略,在环境监测与风险预警方面具有广阔的应用前景。

       

      Abstract: Heavy metal ions pose persistent threats to ecological stability and human health due to their high toxicity, poor degradability, and long-term accumulation in the environment. Therefore, the development of analytical techniques capable of rapid, sensitive, and selective detection of these ions in complex aqueous matrices is of significant importance. In this study, the nickel ion (Ni2+), a typical contaminant frequently found in industrial effluents, was selected as the target analyte. The aim was to establish a probe-assisted surface-enhanced Raman scattering (SERS) method that enables efficient trace-level detection of Ni2+ even in complex sample matrices. Zincon was employed as a coordination-sensitive molecular probe. However, due to its sulfonic acid functional groups, Zincon cannot effectively adsorb onto the negatively charged surface of the citrate-stabilized silver nanoparticles (NPs). To address this issue, poly(diallyldimethylammonium chloride) (PDDA) was introduced to modify the NP surface, resulting in positively charged and highly stable SERS-active substrates that facilitate effective probe loading. UV-Vis spectroscopy was applied to characterize the Ni2+-Zincon coordination system and to elucidate the associated spectral evolution, thereby confirming the presence of coordination interactions and potential charge-transfer processes. Key experimental parameters, including halide type and concentration, probe dosage, and modification time, were systematically examined. Optimal conditions were identified by evaluating both signal intensity and measurement repeatability. The results showed that upon coordination with Ni2+, the characteristic absorption peak of Zincon at 495 nm red-shifted to 510 nm, accompanied by the emergence of a new absorption band at 665 nm. These spectral variations provide strong evidence of electron redistribution induced by complex formation. Under optimized conditions at pH 9, with 200 μmol/L Zincon, 10-min bromide-assisted modification, and 532 nm excitation, the PDDA-Ag NPs substrate generated stable and reproducible SERS signals. The Raman band at 730 cm−1 exhibited a strong linear correlation with Ni2+ concentrations ranging from 10 nmol/L to 1 μmol/L (R2 = 0.9942). The detection limit was as low as 0.0187 μmol/L, with a quantification limit of 0.0625 μmol/L, demonstrating the method's capability for quantitative trace Ni2+ detection in electroplating wastewater. Selectivity evaluations confirmed that the proposed sensing platform exhibited excellent resistance to interference from other common metal ions. When applied to real electroplating wastewater samples, the results obtained using this SERS method showed high agreement with those obtained by atomic absorption spectroscopy, exhibiting a relative standard deviation in low-concentration samples (RSD = 4.31%), confirming the method's good reproducibility and practical applicability. Further analysis indicated that the effective SERS enhancement primarily originates from the charge-transfer energy level of the Ni2+-Zincon complex, which is well-matched with the excitation wavelength. This mechanism provides theoretical guidance for the design of SERS-based heavy metal detection systems suitable for complex environmental matrices. Overall, the established probe-assisted SERS strategy offers a promising analytical approach for environmental monitoring, pollution source identification, and early risk warning.

       

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