1. Mass Spectrometry Based Electronic Nose for Apple Aroma Profiling
- Author
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Els A. Veraverbeke, Amalia Z. Berna, Corrado Di Natale, Jeroen Lammertyn, Stijn Saevels, and Bart Nicolai
- Subjects
Chromatography ,Electronic nose ,biology ,Chemistry ,fungi ,NO storage ,Mass spectrometry ,biology.organism_classification ,Shelf life ,Partial least squares regression ,Postharvest ,Food science ,Gas chromatography ,Aroma - Abstract
The potential of the electronic nose (E-nose) and the mass spectrometer based electronic nose (MSE-nose) to monitor changes in aroma profile during shelf life was studied. Apples were stored for eight months at three different storage conditions and the aroma profile changes were followed subsequently over a period of 15 days. Gas chromatographic headspace analysis were conducted as reference measurements. A canonical variate (CV) analysis showed a clear effect of storage and shelf life both for the MSE-Nose measurements and the GC measurements. However for the E-Nose measurements only a shelf life but no storage history effect was observed. It was also found that the aroma profile changes during shelf life depended on the storage history. Partial least squares models were built to predict the apple firmness and the number of days in shelf life. It was found that the models based on the E-nose data had a worse prediction performance compared to those based on the MSE-nose data. Fusion of both sensors did not result in improved models. Both for firmness (0.95) and days of shelf life (0.98) a high cross validation correlation was observed between measured and predicted values. The SEP of firmness and shelf life were 2.38 Hz2 g2/3 × 106 and 1.02 days, respectively.
- Published
- 2013
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