Improved Antibiotic Detection in Raw Milk Using Machine Learning Tools over the Absorption Spectra of a Problem-Specific Nanobiosensor

Improved Antibiotic Detection in Raw Milk Using Machine Learning Tools over the Absorption Spectra of a Problem-Specific Nanobiosensor

In this article we present the development of a biosensor system that integrates nanotechnology, optomechanics and a spectral detection algorithm for sensitive quantification of antibiotic residues in raw milk of cow. Firstly, nanobiosensors were designed and synthesized by chemically bonding gold n...

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Bibliographic Details
Main Authors: Pablo Gutiérrez, Sebastián E. Godoy, Sergio Torres, Patricio Oyarzún, Ignacio Sanhueza, Victor Díaz-García, Braulio Contreras-Trigo, Pablo Coelho
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
antibiotics
raw milk
gold nanoparticles
machine learning
nanotechnology
biosensors
Online Access:https://www.mdpi.com/1424-8220/20/16/4552

Internet

https://www.mdpi.com/1424-8220/20/16/4552

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