一种便携式光学传感器,结合了智能手机和基于藻青素的荧光试纸,用于快速、可视和现场检测 CO32。

Yifeng Xu, Rui Sun, Shubo Wang, Fei Fei, Zhangyu Gan, Pin Zhou
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引用次数: 0

摘要

随着全球工业的发展,二氧化碳排放量激增。空气中的二氧化碳在转化过程中会产生一些 CO32-,这会加剧海洋酸化等环境灾害。因此,海水中 CO32- 的含量是衡量海洋酸化程度的重要指标。本研究以天然荧光蛋白藻蓝蛋白(PC)为荧光探针,建立了一种响应时间快(50 秒内)、灵敏度高、选择性强的荧光检测方法,用于定量监测 CO32-。PC 与 CO32- 之间的荧光淬灭现象主要归因于静态淬灭。该方法的检出限(LOD)为 0.42 μM,并成功用于监测自来水和海水中的 CO32-,回收率在 99.28 % 至 106.40 % 之间。更重要的是,该方法利用个人电脑轻松制作了纸质试纸,可借助智能手机快速、直观地现场检测 CO32-。与智能手机集成的视觉检测通过 Color Picker APP 转换为数据信息(RGB 值),并成功用于 CO32- 的定量鉴定。通过智能手机捕捉荧光图像并分析相应的 RGB 值,获得了从 0.5 μM 到 500.0 μM 的线性定标范围,LOD 为 0.11 μM。在自来水(98.00 %-107.50 %)和海水(97.30 %-101.74 %)中分别获得了令人满意的回收率。因此,将 PC 荧光纸与智能手机相结合,可实现水环境中 CO32- 的快速、直观和现场检测,有望拓宽海洋酸化程度监测的应用前景。
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A portable optical sensor combining smartphone with phycocyanin-based fluorescent test paper for rapid, visual and on-site detection of CO32.

With the development of global industry, carbon dioxide emissions surged. The conversion of carbon dioxide from the air results in some CO32-, which can exacerbate environmental disasters like ocean acidification. Therefore, the content of CO32- in seawater is an important indicator of the degree of ocean acidification. In this study, natural fluorescent protein phycocyanin (PC) was used as a fluorescent probe, and a fluorescence detection method was established for quantitative monitoring of CO32- with quick response time (within 50 s), high sensitivity, and selectivity. The fluorescence quenching phenomenon between PC and CO32- was mainly attributed to static quenching. The limit of detection (LOD) was 0.42 μM and the method was successfully applied to monitor CO32- in tap water and seawater, acquiring satisfactory recovery between 99.28 % and 106.40 %. More importantly, paper-based test strips were easily fabricated using PC, enabling the rapid, visual, and on-site detection of CO32- with the aid of a smartphone. The visual detection integrated with the smartphone was converted to data information (RGB value) through a Color Picker APP and successfully used for quantitative identification of CO32-. By capturing fluorescent images and analyzing the corresponding RGB value via a smartphone, the linear calibration ranged from 0.5 μM to 500.0 μM with LOD of 0.11 μM was obtained. Satisfactory recoveries were acquired in tap water (98.00 %-107.50 %) and seawater (97.30 %-101.74 %), respectively. Therefore, integrating the PC fluorescent paper with a smartphone realizes the rapid, visual, and on-site detection of CO32- in the water environment, which is expected to broaden application prospects of monitoring ocean acidification degree.

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