Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractElectrophysiological and behavioural responses of Stegobium paniceum to volatile compounds from Chinese medicinal plant materials    Next AbstractAdsorption characteristics of dichloromethane-ethyl acetate/toluene vapor on a hypercrosslinked polystyrene adsorbent »

Sensors (Basel)


Title:Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds
Author(s):Cao Y; Zhang Y; Lin M; Wu D; Chen K;
Address:"The Rural Development Academy, Zhejiang University, Hangzhou 310058, China. College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China. Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Hangzhou 310058, China. The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Hangzhou 310058, China. Digital Cold Chain and Logistics Research Center, Zhongyuan Institute, Zhejiang University, Zhengzhou 450000, China"
Journal Title:Sensors (Basel)
Year:2022
Volume:20220106
Issue:2
Page Number: -
DOI: 10.3390/s22020427
ISSN/ISBN:1424-8220 (Electronic) 1424-8220 (Linking)
Abstract:"Strawberries are susceptible to mechanical damage. The detection of damaged strawberries by their volatile organic compounds (VOCs) can avoid the deficiencies of manual observation and spectral imaging technologies that cannot detect packaged fruits. In the present study, the detection of strawberries with impact damage is investigated using electronic nose (e-nose) technology. The results show that the e-nose technology can be used to detect strawberries that have suffered impact damage. The best model for detecting the extent of impact damage had a residual predictive deviation (RPD) value of 2.730, and the correct rate of the best model for identifying the damaged strawberries was 97.5%. However, the accuracy of the prediction of the occurrence time of impact was poor, and the RPD value of the best model was only 1.969. In addition, the gas chromatography-mass spectrophotometry analysis further shows that the VOCs of the strawberries changed after suffering impact damage, which was the reason why the e-nose technology could detect the damaged fruit. The above results show that the mechanical force of impact caused changes in the VOCs of strawberries and that it is possible to detect strawberries that have suffered impact damage using e-nose technology"
Keywords:Electronic Nose *Fragaria Fruit *Volatile Organic Compounds Gc-ms electronic-nose impact damage strawberry volatile organic compound;
Notes:"MedlineCao, Yang Zhang, Yuchen Lin, Menghua Wu, Di Chen, Kunsong eng 2017YFD0401302/National Key Research and Development Program/ 2019C02074/Zhejiang Provincial Key R&D Program of China/ K20210202/Fundamental Research Funds for the Central Universities/ Switzerland 2022/01/23 Sensors (Basel). 2022 Jan 6; 22(2):427. doi: 10.3390/s22020427"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 10-11-2024