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用于检测亚硝酸盐的定量图像分析方法:基于花菁染料-NaYF:Yb,Tm@NaYF上转换纳米粒子复合发光探针

Quantitative image analysis method for detection of nitrite with cyanine dye-NaYF:Yb,Tm@NaYF upconversion nanoparticles composite luminescent probe.

作者信息

Chen Hongqi, Tang Wei, Liu Yunchun, Wang Lun

机构信息

Anhui Key Laboratory of Chemo-Biosensing, Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241000, PR China.

Anhui Key Laboratory of Chemo-Biosensing, Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241000, PR China.

出版信息

Food Chem. 2022 Jan 15;367:130660. doi: 10.1016/j.foodchem.2021.130660. Epub 2021 Aug 3.

Abstract

In this work, a quantitative image analysis method based on cyanine dye-upconversion nanoparticles composite luminescent nanoprobe for the detection of nitrite was developed. The nanoprobe was constructed by combining the NaYF:Yb,Tm@NaYF upconversion nanoparticles (UCNPs) and the new cyanine dye IR-790. The upconversion nanoparticles transferred energy to IR-790, resulting in the luminescence quenching, while the luminescence of UCNPs was recovered after adding NO. The increase in photons was related to the concentration of NO. Under the optimal experimental conditions, the detection range was 0.20-140 μM and the limit of detection was 0.030 μM. The measurement for NO can be completed in 29 min. The method has the characteristics of fast response (~0.1 s), low sample consumption (10 μL) and powerful data support (550 frame time series images). Furthermore, the quantitative image analysis method was successfully applied for the analysis of nitrite in environmental water and food samples.

摘要

在本工作中,开发了一种基于菁染料-上转换纳米颗粒复合发光纳米探针的定量图像分析方法用于检测亚硝酸盐。该纳米探针通过将NaYF:Yb,Tm@NaYF上转换纳米颗粒(UCNPs)与新型菁染料IR-790相结合构建而成。上转换纳米颗粒将能量传递给IR-790,导致发光猝灭,而加入NO后UCNPs的发光得以恢复。光子的增加与NO的浓度相关。在最佳实验条件下,检测范围为0.20 - 140 μM,检测限为0.030 μM。对NO的测量可在29分钟内完成。该方法具有响应快(约0.1秒)、样品消耗低(10 μL)和强大的数据支持(550帧时间序列图像)的特点。此外,该定量图像分析方法成功应用于环境水和食品样品中亚硝酸盐的分析。

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