# Silk Fibroin-Templated Copper Nanoclusters: Responsive Fluorescent Probes Exhibiting 2,4-Dichlorophenoxyacetic Acid-Enhanced Emission and p-Nitrophenol-Induced Quenching

## TL;DR

Researchers developed a fluorescent sensor using copper nanoclusters that can detect specific pollutants with high sensitivity.

## Contribution

A novel method for synthesizing copper nanoclusters using silk fibroin, enabling dual sensing of 2,4-D and p-NP with distinct fluorescence responses.

## Key findings

- 2,4-Dichlorophenoxyacetic acid enhances fluorescence of Cu@SF NCs, enabling detection at 0.65 μM.
- p-Nitrophenol quenches fluorescence via energy transfer, detectable at 1.35 nM.
- The sensor shows high selectivity for 2,4-D and p-NP over other analytes.

## Abstract

In this work, highly water-soluble silk fibroin (SF) is first prepared by recrystallizing degummed silkworm cocoon fibers in concentrated CaCl2 solution (replacing the conventional Ajisawa’s reagent), and then used as both stabilizing and reducing agents to synthesize copper nanoclusters (Cu@SF NCs) at pH = 11. Due to the existence of unreacted Cu2+ ions, the resulting SF-templated Cu NCs form slight aggregates, yielding a purple-colored solution with blue fluorescence. Interestingly, upon adding the pesticide 2,4-dichlorophenoxyacetic acid (2,4-D), the Cu NCs aggregates disassemble and the fluorescence is significantly enhanced, creating a “fluorescence-on” sensor for 2,4-D with a detection limit of 0.65 μM. In contrast, the pollutant p-nitrophenol (p-NP) quenches the fluorescence of Cu NCs via a fluorescence resonance energy transfer mechanism (with a detection limit as low as 1.35 nM), which is attributed to the large overlap between absorption spectrum of p-NP and excitation spectrum of Cu NCs. Other tested analytes (i.e., pyrifenox, carbofuran and melamine) produce negligible fluorescence changes. The distinct sensing mechanisms are elucidated with experimental evidence and density functional theory (DFT) calculations. The evolutions of fluorescence as a function of incubation time and analyte concentration are systematically investigated, demonstrating a versatile platform for sensitive and selective detection of target analytes. These findings provide an effective strategy for optimizing the optical properties of metal nanoclusters and improving their performance in environmental applications.