Sensory and microbiological quality assessment of beef fillets using a portable electronic nose in tandem with support vector machine analysis

By Olga S. Papadopoulou, Efstathios Z Panagou, Fady R. Mohareb, George - John Nychas. 2013

148 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Animal Science and Zoology, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/281e812f53d3d89972dadab058de0039b34b3476

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Di Wu
2. Da‐Wen Sun

In Animal Science and Zoology

1. Di Wu

In Biomedical Engineering

1. Di Wu
2. Da‐Wen Sun

Citations in the corpus

• Application of Electronic Nose with Multivariate Analysis and Sensor Selection for Botanical Origin Identification and Quality Determination of Honey (2015, background): “E-nose is an instrument with an array of sensors to mimic the sense of smell, typically used to detect and distinguish odors precisely in complex samples and at low cost (Peris and Escuder-Gilabert 2009).”
• Early detection and classification of pathogenic fungal disease in post-harvest strawberry fruit by electronic nose and gas chromatography–mass spectrometry (2014, unknown): “, 2010), beef fillet spoilage (Papadopoulou et al., 2013), onion (Li, Schmidt, & Gitaitis, 2011), blueberry (Li, Krewer, Ji, Scherm, & Kays, 2010) and bread (Needham, Williams, Beales, Voysey, &Magan, 2005).”