Nonintrusive honey fraud detection and quantification based on differential radiofrequency absorbance analysis

Author:

Coronel-Gaviro J.,Yagüe-Jiménez Virginia,Blanco-Murillo J.L.

Publisher

Elsevier BV

Subject

Food Science

Reference41 articles.

1. A screening method based on visible-NIR spectroscopy for the identification and quantification of different adulterants in high-quality honey;Aliaño González;Talanta,2019

2. Classification of adulterated honeys by multivariate analysis;Amiry;Food Chem.,2017

3. High-precision measurement of sine and pulse reference signals using software-defined radio;Andrich;IEEE Transactions on Instrumentation and Measurement,2018

4. Super high frequency reflective BiQuad antenna;Arguelles,2017

5. Scientific Support to the Implementation of a Coordinated Control Plan with a View to Establishing the Prevalence Offraudulent Practices in the Marketing of Honey;Aries,2016

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