Study of peach freshness predictive method based on electronic nose-Reference-Cited by-同舟云学术

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Study of peach freshness predictive method based on electronic nose

Published:2012-11 Issue:1 Volume:28 Page:25-32
ISSN:0956-7135
Container-title:Food Control
language:en
Short-container-title:Food Control

Author:

Guohua Hui,Yuling Wu,Dandan Ye,Wenwen Ding,Linshan Zhu,Lvye Wang

Funder

Zhejiang Province Science and Technology Research Project

National Natural Science Foundation

Zhejiang Province Natural Science Foundation

Student Innovation Projects of Zhejiang Gongshang University

Student Innovation Projects of Zhejiang Province

Publisher

Elsevier BV

Subject

Food Science,Biotechnology

Reference52 articles.

1. Combination of an e-nose, an e-tongue and an e-eye for the characterisation of olive oils with different degree of bitterness;Apetrei;Analytica Chimica Acta,2010

2. Independent component analysis-processed electronic nose data for predicting Salmonella typhimurium populations in contaminated beef;Balasubramanian;Food Control,2008

3. An electronic nose system based on a micro-machined gas sensor array to assess the freshness of sardines;Barbri;Sensors and Actuators B: Chemical,2009

4. Compendium of the microbiology spoilage of foods and beverages;Barth,2009

5. Application of the electronic nose to the identification of different milk flavorings;Bei;Food Research International,2010

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