Analysis of pork adulteration in minced mutton using electronic nose of metal oxide sensors

By Xiaojing Tian, Jun Wang, Shaoqing Cui. 2013

155 citations recorded by the source corpus.

Subfields: Animal Science and Zoology, Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/1b3738e77cdbc8d257ac6b0ab3fea71dc451fb39

How researchers see this paper

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

In Animal Science and Zoology

1. Efstathios Z Panagou
2. George - John Nychas

In Biomedical Engineering

1. A. Gliszczyńska-Świgło
2. Efstathios Z Panagou
3. J. Chmielewski
4. Athina Ropodi
5. George - John Nychas

In Molecular Biology

1. Dimitrios E Pavlidis
2. A. Gliszczyńska-Świgło
3. Efstathios Z Panagou
4. J. Chmielewski
5. Fady R. Mohareb
6. Athina Ropodi
7. George - John Nychas

Citations in the corpus

• Electronic Nose as a Tool for Monitoring the Authenticity of Food. A Review (2017, background): “They also have higher falsepositive rates (Tian et al. 2013).”
• Multispectral image analysis approach to detect adulteration of beef and pork in raw meats (2015, background): “, 2010), pork in minced mutton (Tian et al., 2013), pork in beef meatball (Rohman, Sismindari, Erwanto, & Che Man, 2011), beef offal in fresh and frozen beefburger (Zhao, Downey, & O’Donnell, 2014), pork meat in raw beef burger (Giaretta, Di Giuseppe, Lippert, Parente, & Di Maro, 2013), minced lamb ”