| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6393197 | Food Control | 2012 | 8 Pages |
Abstract
⺠A peach freshness predicting method based on E-nose is investigated. ⺠E-nose discriminates peaches successfully. ⺠Microorganism, firmness, TSS and GC-MS are conducted to determine peach freshness. ⺠Peach freshness predicting model has been developed based on Max-SNR values regression. ⺠The predicting accuracy of this model is 85%.
Related Topics
Life Sciences
Agricultural and Biological Sciences
Food Science
Authors
Hui Guohua, Wu Yuling, Ye Dandan, Ding Wenwen, Zhu Linshan, Wang Lvye,