ArticleFoods (Basel, Switzerland)2022
Rapid Detection of Carbendazim Residue in Apple Using Surface-Enhanced Raman Scattering and Coupled Chemometric Algorithm.
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- SERS-Based Detection of Food Contaminants: From Laboratory Sensitivity to Practical Implementation-Bottlenecks and Pathways to Standardization.Foods (Basel, Switzerland) · 2026Review
- Pt nanoparticles-engineered metal-organic framework encapsulated by a covalent organic framework shell for self-powered photoelectrochemical sensing of carbendazim.Mikrochimica acta · 2026Article
- Design of a Facile Fluorescent Nano-Sensor Using Nitrogen and Sulfur Dual Doped Carbon Quantum Dots for Carbendazim Detection: A Turn-Off-On Approach for Food Safety and Environmental Monitoring.Journal of fluorescence · 2025Article
- Spectroscopic and Imaging Technologies Combined with Machine Learning for Intelligent Perception of Pesticide Residues in Fruits and Vegetables.Foods (Basel, Switzerland) · 2025Review
- Optimal bimetallic Au@Ag nanocuboids-based SERS sensor for label-free ultrasensitive detection of florfenicol residue in eggs.Mikrochimica acta · 2025Article
- Article
- Rapid Limit Test of Seven Pesticide Residues in Tea Based on the Combination of TLC and Raman Imaging Microscopy.Molecules (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
In order to achieve rapid and precise quantification detection of carbendazim residues, surface-enhanced Raman spectroscopy (SERS) combined with variable selected regression methods were developed. A higher sensitivity and greater density of "hot spots" in three-dimensional (3D) SERS substrates based on silver nanoparticles compound polyacrylonitrile (Ag-NPs @PAN) nanohump arrays were fabricated to capture and amplify the SERS signal of carbendazim. Four Raman spectral variable selection regression models were established and comparatively assessed. The results showed that the bootstrapping soft shrinkage-partial least squares (BOSS-PLS) method achieved the best predictive capacity after variable selection, and the final BOSS-PLS model has the correlation coefficient (
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Registered trials
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