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Advances in Nanomaterial-Based Electrochemical and Optical Biosensors

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Chemical Sensors".

Deadline for manuscript submissions: 15 December 2025 | Viewed by 421

Special Issue Editor


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Guest Editor
Department of Chemical Sciences, University of Catania, 95125 Catania, Italy
Interests: biosensors; electrochemical sensors; gas sensors; nanomaterials; fluorescence sensors; organic chemistry; inorganic chemistry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nanomaterials, such as inorganic derivatives (e.g., noble metals, metal oxides, etc.), organic derivatives (e.g., complexing agents, polymers, etc.), hybrid nanostructures, and carbon nanomaterials (e.g., CNTs, GQDs, CDs, etc.), have gained great importance due to their outstanding electrochemical, optical, and structural properties and their use in many application fields, in particular in sensor development. Nanomaterials can be synthesized by various methods, and thus, depending on the initial compounds used and the preparation/synthesis protocol, nanomaterials with different sensing properties can be obtained. In this Special Issue, we would like to encourage the submission of original articles and reviews covering all aspects of nanomaterial-based biosensor development, enabling readers to learn more about this field of research. Therefore, we welcome high-quality articles reporting on the development of biosensors from nanomaterials, including recent advances in synthesis, characterization, property studies, testing, validation, and applications.

Dr. Angelo Ferlazzo
Guest Editor

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Keywords

  • preparation and characterizations of nanomaterials
  • electrochemical sensors
  • colorimetric sensors
  • fluorescence sensors
  • applications of biosensors based on nanomaterials

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Published Papers (1 paper)

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Research

19 pages, 5758 KiB  
Article
Detection of Pesticide Residues Using Three-Dimensional SERS Substrate Based on CNTs/Ag/AgNWs/SiO2
by Jianjun Ding, Niansong Liu, Ganglin Wang, Naiyu Guo and Chao Sun
Sensors 2025, 25(7), 2316; https://doi.org/10.3390/s25072316 - 5 Apr 2025
Viewed by 298
Abstract
In response to the shortcomings of traditional surface-enhanced Raman spectroscopy (SERS) substrates, such as short shelf life, poor uniformity, and low selectivity, this study innovatively proposed a three-dimensional composite substrate of CNTs/Ag/AgNWs/SiO2. This substrate demonstrates excellent SERS enhancement effects, with a [...] Read more.
In response to the shortcomings of traditional surface-enhanced Raman spectroscopy (SERS) substrates, such as short shelf life, poor uniformity, and low selectivity, this study innovatively proposed a three-dimensional composite substrate of CNTs/Ag/AgNWs/SiO2. This substrate demonstrates excellent SERS enhancement effects, with a detection limit of 10−12 mol/L for the probe molecule Rhodamine 6G (R6G) and an enhancement factor (EF) of 8.947 × 108. Further experiments confirmed the substrate’s superior uniformity and stability. The enhancement mechanism was investigated using both experimental methods and the Finite Difference Time Domain (FDTD) approach. When commonly used pesticide thiram was used as the target analyte, the detection limit of the substrate reached 0.1 mg/L, which is significantly lower than the pesticide residue standards of China and the European Union. Additionally, the genetic algorithm (GA)-optimized Back Propagation (BP) neural network was introduced for the quantitative analysis of thiram concentrations. The experimental results indicated that the GA-BP algorithm achieved the training prediction accuracy of 92.5% for thiram, demonstrating good network performance. This method shows good selectivity and has broad application prospects in the detection of toxic chemicals, environmental pollutants, and food additives. Full article
(This article belongs to the Special Issue Advances in Nanomaterial-Based Electrochemical and Optical Biosensors)
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