Early detection and classification of pathogenic fungal disease in post-harvest strawberry fruit by electronic nose and gas chromatography–mass spectrometry

By L. Pan, Wei Zhang, Zhuk Na, Shu-Bo Mao, K. Tu. 2014

161 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Food Science, Insect Science

View Paper: https://www.semanticscholar.org/paper/6aee988557a5387db8312811fb7570b571530851

How researchers see this paper

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

1. Zhilin Gan
2. Lidan Wang
3. Shukai Duan
4. Yuanying Ni
5. X. Wen
6. Songlin Zhang
7. Jia Yan
8. Chao Peng

Citations in the corpus

• Using sensor and spectral analysis to classify botanical origin and determine adulteration of raw honey (2016, methodology): “Electronic nose (EN) and electronic tongue (ET) are common methods for food analysis (Cozzolino et al., 2008; Wang et al., 2009; Ghasemi-Varnamkhasti et al., 2010; Vlasov et al., 2002; Lu et al., 2014; Pan et al., 2014; Haddi et al., 2013).”
• Electronic Nose Feature Extraction Methods: A Review (2015, background): “…gases/vapours [1], which is playing an increasing role in general purpose detection of gases in many applications such as odor analysis [2–4], quality control of food industry [5–10], environment protection [11–13], public health [14–19], explosives detection [20] and spaceflight applications [21].”