Artificial Neural Networks Applied to Colorimetric Nanosensors: An Undergraduate Experience Tailorable from Gold Nanoparticles Synthesis to Optical Spectroscopy and Machine Learning-Reference-Cited by-同舟云学术

Artificial Neural Networks Applied to Colorimetric Nanosensors: An Undergraduate Experience Tailorable from Gold Nanoparticles Synthesis to Optical Spectroscopy and Machine Learning

Published:2022-04-15 Issue:5 Volume:99 Page:2112-2120
ISSN:0021-9584
Container-title:Journal of Chemical Education
language:en
Short-container-title:J. Chem. Educ.

Author:

Revignas Davide¹,Amendola Vincenzo¹^ORCID

Affiliation:

1. Department of Chemical Sciences, University of Padova, Via Marzolo 1, 35131 Padova, Italy

Funder

Fondazione Cassa di Risparmio di Padova e Rovigo

Universit? degli Studi di Padova

Publisher

American Chemical Society (ACS)

Subject

Education,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jchemed.1c01288

Reference28 articles.

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2. Computation & Machine Learning for Chemistry. https://www.nature.com/collections/gcijejjahe/ (accessed 2021-07-26).

3. Gold Nanoparticles in Chemical and Biological Sensing

4. Rapid Detection of IgM Antibodies against the SARS-CoV-2 Virus via Colloidal Gold Nanoparticle-Based Lateral-Flow Assay

5. Surface plasmon resonance in gold nanoparticles: a review

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