Functional Nanomaterials for Sensing Devices: Synthesis, Characterization and Applications (2nd Edition)

A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanoelectronics, Nanosensors and Devices".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 1263

Special Issue Editor


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Guest Editor
Institute of Condensed Matter Chemistry and Technologies for Energy, National Research Council, CNR-ICMATE, Via Cozzi, 53-20125 Milan, Italy
Interests: material science; nanotechnology; self-assembly; thin films; conducting polymers; electrochemistry; nanoparticles synthesis
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Special Issue Information

Dear Colleagues,

This Special Issue is a continuation of a previous successful Special Issue, titled “Functional Nanomaterials for Sensing Devices: Synthesis, Characterization and Applications”, which was also hosted by this Guest Editor.

Functional nanomaterials (e.g., metal–organic frameworks, noble metal nanoclusters, semiconductor quantum dots, carbon-based nano-systems, polymer nanoparticles, perovskites, transition metals, and metal oxides) exhibit peculiar properties (e.g., high surface areas, tunable surface structures, and advanced optical/electrical/mechanical features), enabling their employment in the design and development of sensors for the detection of numerous targets, such as heavy metals, organic pollutants, pathogenic microbes, biomarkers, metabolites, narcotics, explosives, etc. Depending on nanomaterial properties and specific targets, a plethora of sensing techniques (from electrochemical to optical detection, fluorescence, surface plasmon resonance, colorimetry, etc.) could be employed for the design of the sensing device. In light of the above considerations, this Special Issue is addressed to scholars who aim to share their recent findings in the synthesis and characterization of functional nanomaterials and their application sensing devices. The purpose is to gather the latest results in modeling, simulation, synthesis, advanced characterization, and sensing applications.

Potential topics include, but are not limited to, the following:

  • Conventional, unconventional, and “green” synthesis approaches;
  • Innovative preparation routes to nano-systems with tailored spatial organization;
  • The modeling, simulation, and characterization of nanomaterials;
  • Recycling and renewable resources;
  • Functional and smart devices;
  • Device design and characterization.  

Dr. Barbara Vercelli
Guest Editor

Manuscript Submission Information

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Keywords

  • green synthesis approaches
  • molecular modeling and simulation
  • advanced characterization
  • techniques
  • optical and electrochemical approaches
  • smart sensing devices

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Published Papers (1 paper)

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Research

10 pages, 4915 KiB  
Article
Discriminating Analysis of Metal Ions via Multivariate Curve Resolution–Alternating Least Squares Applied to Silver Nanoparticle Sensor
by Andrea Rossi, Massimiliano Cuccioloni, Francesco Pellegrino, Rita Giovannetti and Eugenio Alladio
Nanomaterials 2025, 15(1), 57; https://doi.org/10.3390/nano15010057 - 2 Jan 2025
Viewed by 778
Abstract
Heavy metals are life-threatening pollutions because of their great toxicity, long-term persistence in nature and their bioaccumulation in living organisms. In this work, we performed multivariate curve resolution–alternating least squares analysis of UV-Vis raw spectra received by a colorimetric sensor constructed on mercaptoundecanoic [...] Read more.
Heavy metals are life-threatening pollutions because of their great toxicity, long-term persistence in nature and their bioaccumulation in living organisms. In this work, we performed multivariate curve resolution–alternating least squares analysis of UV-Vis raw spectra received by a colorimetric sensor constructed on mercaptoundecanoic acid functionalized silver nanoparticles (AgNPs@11MUA) to detect Cd2+, Cu2+, Mn2+, Ni2+, and Zn2+ in water. This combined approach allowed the rapid identification and quantification of multiple heavy metals and showed adequate sensitivity and selectivity, thus representing a promising analytical and computational method for both laboratory and field applications such as environmental safety and public health monitoring. Full article
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