Spiny gold nanoparticles colloids as substrate for sensing of methyl parathion based on surfaced-enhanced Raman scattering

Wu, Huixiang; Chen, Shanduo; Wang, Yifan; Tan, Jiefeng; Feng, Yadong; Hou, Liping; Wang, Huan

doi:10.1016/j.matlet.2022.131687

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…Over the past decades, diverse methods for detecting organophosphate pesticides have been developed, such as traditional gas chromatography (GC), high-performance liquid chromatography (HPLC), , mass spectrometry (MS), gas chromatography-mass spectrometry (GC-MS), and gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS) . Although these approaches possess sufficient sensitivity and stability, their drawbacks include costly instruments, elaborate sample preparation, complicated procedures, high expense, and the need for highly skilled operators. , To overcome these issues, emerging techniques including fluorescence, − colorimetry, electrochemistry, and surface-enhanced Raman scattering , have been proposed to enhance the sensing performance. However, the reported methods primarily focus on detecting the total amount of organophosphate pesticides or a single organophosphate pesticide species to represent the family of organophosphate pesticides, which have insufficient selectivity and cannot be used to classify organophosphate pesticides.…”

Section: Introductionmentioning

confidence: 99%

“…15 Although these approaches possess sufficient sensitivity and stability, their drawbacks include costly instruments, elaborate sample preparation, complicated procedures, high expense, and the need for highly skilled operators. 3,16 To overcome these issues, emerging techniques including fluorescence, 17−19 colorimetry, 20 electrochemistry, 21 and surface-enhanced Raman scattering 22,23 have been proposed to enhance the sensing performance. However, the reported methods primarily focus on detecting the total amount of organophosphate pesticides or a single organophosphate pesticide species to represent the family of organophosphate pesticides, which have insufficient selectivity and cannot be used to classify organophosphate pesticides.…”

Section: ■ Introductionmentioning

confidence: 99%

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d-Penicillamine@Ag/Cu Nanocluster-Based Fluorescent Nanoneuron for Logic Screening Phosphonate-Type Organophosphate Pesticides and Steganographically Encrypting Information

Fan

Dong

et al. 2023

Anal. Chem.

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Organophosphate pesticides are used in agriculture due to their high effectiveness and low persistence in eradicating insects and pests. However, conventional detection methods encounter the limitation of undesired detection specificity. Thus, screening phosphonate-type organophosphate pesticides (OOPs) from their analogues, phosphorothioate organophosphate pesticides (SOPs), remains a challenge. Here, we reported a D-penicillamine@Ag/Cu nanocluster (DPA@Ag/Cu NCs)based fluorescence assay to screen OOPs from 21 kinds of organophosphate pesticides, which can be used for logic sensing and information encryption. Acetylthiocholine chloride was enzymatically split by acetylcholinesterase (AChE) to produce thiocholine, which reduced the fluorescence of DPA@Ag/Cu NCs due to the transmission of electrons from DPA@Ag/Cu NCs donor to the thiol group acceptor. Impressively, OOPs acted as an AChE inhibitor and retained the high fluorescence of DPA@Ag/Cu NCs due to the stronger positive electricity of the phosphorus atom. Conversely, SOPs possessed weak toxicity to AChE, which led to low fluorescence intensity. By setting 21 kinds of organophosphate pesticides as the inputs and the fluorescence of the resulting products as the outputs, DPA@Ag/Cu NCs could serve as a fluorescent nanoneuron to construct Boolean logic tree and complex logic circuit for molecular computing. As a proof of concept, by converting the selective response patterns of DPA@Ag/Cu NCs into binary strings, molecular cryptosteganography for encoding, storing, and concealing information was successfully achieved. This study is expected to advance the progress and practical application of nanoclusters in the area of logic detection and information security while also enhancing the relationship between molecular sensors and the world of information.

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