Effects of chromophoric dissolved organic matter on the optical properties of different fluorescent probes

Zan Long , Bingni Jia , Bingqian Jing , Xiaofeng Liu , Ke Tian , Peng Zhang , Bo Feng , Taiping Qing
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Abstract

The new detection technology represented by fluorescent probe is an effective supplement to the traditional instrument analysis of environmental pollutants. However, background interference is an inevitable obstacle in the fluorescent analysis of complex samples. Dissolved organic matter (DOM) in water is widespread and significantly affects the performance of fluorescent probes in pollutants detection. In this work, the impact of DOM on the performance of fluorescent probes were investigated under different conditions. Firstly, three-dimensional fluorescence spectroscopy of local lake was performed to identify the composition of organic matter in water. The types of chromophoric DOM in local lake mainly include humic acids and tryptophan, and its concentrations varied over time and across different regions. Then, three fluorescent probes with different fluorescence emission were selected to investigate the interaction between DOM (humic acids, tryptophan, and fulvic acid as the interfering substances) and fluorescent groups. The experimental results demonstrated that humic acid significantly reduced the signal intensity of fluorescent probes through mechanisms such as inner filter effects and fluorescence resonance energy transfer. In contrast, tryptophan and fulvic acid had relatively minor impacts. More importantly, the altered pH and ions of the environmental water did not significantly alter the interference of DOM on fluorescent probe. To further verify the influence of chromophoric DOM on fluorescent probes in real water, the water treatment under UV irradiation with H2O2 was used for the preparation of simulated water samples. The influence of DOM on fluorescent probes in real water samples was also similar to that in buffer. These results suggested that the chromophoric DOM can effectively affect the spectral properties of different fluorescent probes, and greatly interfere with the sensitivity and accuracy of fluorescence detection. This work help to understand the interference mechanisms of DOM in water, and are significant for improving the accuracy of fluorescent probes in water quality monitoring applications.

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以荧光探针为代表的新型检测技术是对传统仪器分析环境污染物的有效补充。然而,本底干扰是荧光分析复杂样品不可避免的障碍。水中的溶解有机物(DOM)广泛存在,严重影响了荧光探针在污染物检测中的性能。本研究在不同条件下考察了 DOM 对荧光探针性能的影响。首先,对当地湖泊进行了三维荧光光谱分析,以确定水中有机物的组成。当地湖泊中的发色性 DOM 主要包括腐殖酸和色氨酸,其浓度随时间和不同区域而变化。然后,选择了三种不同荧光发射的荧光探针来研究 DOM(腐殖酸、色氨酸和富勒酸为干扰物质)与荧光基团之间的相互作用。实验结果表明,腐植酸通过内部过滤效应和荧光共振能量转移等机制显著降低了荧光探针的信号强度。相比之下,色氨酸和富勒酸的影响相对较小。更重要的是,环境水的 pH 值和离子的改变并没有明显改变 DOM 对荧光探针的干扰。为了进一步验证真实水中发色性 DOM 对荧光探针的影响,我们利用 H2O2 在紫外线照射下对水进行处理来制备模拟水样。实际水样中 DOM 对荧光探针的影响也与缓冲液中的类似。这些结果表明,发色性 DOM 能有效影响不同荧光探针的光谱特性,极大地干扰荧光检测的灵敏度和准确性。这项工作有助于了解 DOM 在水中的干扰机制,对提高荧光探针在水质监测应用中的准确性具有重要意义。
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来源期刊
CiteScore
8.40
自引率
11.40%
发文量
1364
审稿时长
40 days
期刊介绍: Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy (SAA) is an interdisciplinary journal which spans from basic to applied aspects of optical spectroscopy in chemistry, medicine, biology, and materials science. The journal publishes original scientific papers that feature high-quality spectroscopic data and analysis. From the broad range of optical spectroscopies, the emphasis is on electronic, vibrational or rotational spectra of molecules, rather than on spectroscopy based on magnetic moments. Criteria for publication in SAA are novelty, uniqueness, and outstanding quality. Routine applications of spectroscopic techniques and computational methods are not appropriate. Topics of particular interest of Spectrochimica Acta Part A include, but are not limited to: Spectroscopy and dynamics of bioanalytical, biomedical, environmental, and atmospheric sciences, Novel experimental techniques or instrumentation for molecular spectroscopy, Novel theoretical and computational methods, Novel applications in photochemistry and photobiology, Novel interpretational approaches as well as advances in data analysis based on electronic or vibrational spectroscopy.
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