Classification of impacted blueberries during storage using an electronic nose
- 26 April 2011
- journal article
- research article
- Published by Wiley in Journal of the Science of Food and Agriculture
- Vol. 91 (9), 1722-1727
- https://doi.org/10.1002/jsfa.4378
Abstract
BACKGROUND: An electronic nose (EN) was used to determine the effect of repeated impacts on changes in volatile characteristics of fresh blueberries during storage. Hand‐harvested ‘Misty’ blueberries (Vaccinium corymbosum) were treated either as (1) undropped (control) fruits, (2) fruits poured six times from a picking bucket 200 mm into a plastic field lug or (3) fruits dropped as above ten times onto a steel surface. Fruits from all treatments were stored in vented polystyrene clamshell containers at 2 °C and 95% relative humidity. RESULTS: Repeated impacts caused no skin rupture or leakage after treatment or during storage. EN data were subjected to discriminant function analysis to classify samples by treatment at days 0, 2, 10, 17 and 24 (n = 5 per treatment). Correct classification rates (CCRs) for days 0, 2, 10, 17 and 24 were 0, 100, 100, 100 and 100% respectively. On day 0 there was no significant difference in sample volatiles, and CCRs for all treatments and storage times ranged from 80 to 100%. Cross‐validation rates for different treatments and storage times ranged from 75 to 100%. CONCLUSION: The EN could be a useful tool to estimate the effect of impacts incurred during blueberry handling on quality based on changes in volatile characteristics. Copyright © 2011 Society of Chemical IndustryKeywords
This publication has 25 references indexed in Scilit:
- Deodorisation of off-odour during sweet potato juice production by employing physical and chemical deodorantsFood Chemistry, 2007
- Odor Evaluation of Shrimp Treated with Different Chemicals Using an Electronic Nose and a Sensory PanelJournal of Aquatic Food Product Technology, 2007
- Portable Electronic Nose for Detection of Spoiling Alaska Pink Salmon (Oncorhynchus gorbuscha)Journal of Food Science, 2006
- Quantification of Spice Mixture Compositions by Electronic Nose: Part II. Comparison with GC and Sensory MethodsJournal of Food Science, 2006
- Quantification of Spice Mixture Compositions by Electronic Nose: Part I. Experimental Design and Data Analysis Using Neural NetworksJournal of Food Science, 2006
- Electronic Nose to Detect Strawberry Aroma Changes During Osmotic DehydrationJournal of Food Science, 2006
- Objective Quality Assessment of Raw Tilapia (Oreochromis niloticus) Fillets Using Electronic Nose and Machine VisionJournal of Food Science, 2001
- Tomato Flavor and Aroma Quality as Affected by Storage TemperatureJournal of Food Science, 2000
- Trimethylamine-sensing mechanism of TiO2-based sensors 1. Effects of metal additives on trimethylamine-sensing properties of TiO2 sensorsSensors and Actuators B: Chemical, 1993
- Electronic odour sensing systemsElectronics & Communication Engineering Journal, 1993