4.7 Article

A selectivity-enhanced fluorescence imprinted sensor based on yellow-emission peptide nanodots for sensitive and visual smart detection of ?-cyhalothrin

Journal

ANALYTICA CHIMICA ACTA
Volume 1255, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.aca.2023.341124

Keywords

Yellow-emission; Peptide nanodots; Molecularly imprinted nanoparticles; Selective capture; ?-cyhalothrin

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In this study, a novel fluorescence biomimetic nanosensor based on Zn(II)-doped cyclo-ditryptophan peptide nanodots and incorporating molecularly imprinted polymer (c-WW/Zn-PNs@MIP) was developed for the detection of lambda-cyhalothrin (LC). The sensor showed high selectivity, reusability, and a wide linear range with a low limit of detection. A visual platform was also developed for on-site profiling of LC.
The development of precise and efficient detection technologies to recognize lambda-cyhalothrin (LC) in agricultural products has attracted attention worldwide due to its widespread use and notable toxic effects on humans. Herein, a novel fluorescence biomimetic nanosensor was elaborately designed based on Zn(II)-doped cyclo-ditryptophan (c-WW)-type peptide nanodots and incorporating molecularly imprinted polymer (c-WW/Zn-PNs@MIP) for LC assays. C-WW/Zn-PNs obtained by self-assembly with aromatic cyclic dipeptides as basic building blocks and coordination with Zn(II) have low-toxicity, photostability, and bright yellow fluorescence emission, as a sensitive signal transducer. High-affinity imprinting sites further endow c-WW/Zn-PNs@MIP with superior selectivity and reusability. Based on prominent merits, c-WW/Zn-PNs@MIP demonstrated a good linear range (1-360 mu g/L) with a low limit of detection (LOD) (0.93 mu g/L), fast kinetics in target capture (10 min), and strong practicability in the capture of LC from real samples (spiked recovery of 81.0-107.7%). Additionally, to attain onsite profiling of LC, a visual platform was developed by integrating c-WW/Zn-PNs@MIP with a smartphone-assisted optical device. This smart evaluation system can capture concentration-dependent fluo-rescent images and accurately digitize them, enabling quantitative analysis of LC. This study developed a fluorescent c-WW/Zn-PNs@MIP-based smart evaluation system as a novel platform for LC monitoring applica-tions, which not only has enormous economic value but also great environmental health significance.

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