Journal
JOURNAL OF HAZARDOUS MATERIALS
Volume 436, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jhazmat.2022.129320
Keywords
Enzyme-free; Fluorescent sensor; Smartphone platform; Visual quantitative sensing; glyphosate
Categories
Funding
- National Key Research and Development Program of China [2021YFD2000200]
- National Natural Science Foundation of China [21 876 175]
- Key Research and Devel-opment Program of Anhui Province, China [202004d07020013]
- Post-doctor Research Program of Anhui Province, China [E04GEGCF]
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A novel enzyme-free rapid and visual ratiometric fluorescence sensor was developed for selective quantitative detection of glyphosate. The sensor utilized blue carbon nanodots and gold nanoclusters to achieve colorimetric fluorescence variation for glyphosate detection. The method exhibited a broad linear detection range and a low detection limit, and was successfully applied to real sample detection and a portable smartphone platform.
Serious toxicity for organisms from pesticide glyphosate (Gly) residues to the ecosystem and human health has become a consensus. Rapid and selective detection of glyphosate, especially using a simple and portable instrument, is highly desired. In this work, we develop a novel enzyme-free rapid and visual ratiometric fluorescence sensor for selectively quantitative detecting glyphosate by integrating the designed blue carbon nanodots (CDs) and gold nanoclusters (Au NCs). The fluorescence of CDs can be quickly quenched via aggregation-caused quenching (ACQ) within 2 s after introducing glyphosate, resulting from the formation of CDs-Gly-CDs complex aggregation. While the Au NCs serve as the reference signal without any change, therefore leading to obvious and instant ratiometric fluorescence variation from blue to pink to orange. The broad linear range was obtained from 0 to 180 nM with a satisfactory detection limit of 4.19 nM. Furthermore, this approach was successfully applied to detect glyphosate in real samples and a portable smartphone platform integrated paper sensor was developed for in-site visual quantitative glyphosate detection, offering a promising strategy for the construction of enzymefree trace hazard detection system.
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