کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4369615 | 1616753 | 2007 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Use of a MS-electronic nose for prediction of early fungal spoilage of bakery products Use of a MS-electronic nose for prediction of early fungal spoilage of bakery products](/preview/png/4369615.png)
A MS-based electronic nose was used to detect fungal spoilage (measured as ergosterol concentration) in samples of bakery products. Bakery products were inoculated with different Eurotium, Aspergillus and Penicillium species, incubated in sealed vials and their headspace sampled after 2, 4 and 7 days. Once the headspace was sampled, ergosterol content was determined in each sample. Different electronic nose signals were recorded depending on incubation time. Both the e-nose signals and ergosterol levels were used to build models for prediction of ergosterol content using e-nose measurements. Accuracy on prediction of those models was between 87 and 96%, except for samples inoculated with Penicillium corylophilum where the best predictions only reached 46%.
Journal: International Journal of Food Microbiology - Volume 114, Issue 1, 28 February 2007, Pages 10–16