Literature DB >> 23020286

Electronic nose to detect volatile compound profile and quality changes in 'spring Belle' peach (Prunus persica L.) during cold storage in relation to fruit optical properties measured by time-resolved reflectance spectroscopy.

Anna Rizzolo1, Giulia Bianchi, Maristella Vanoli, Susan Lurie, Lorenzo Spinelli, Alessandro Torricelli.   

Abstract

The aim of this research was to study the relationships between electronic nose (E-nose) pattern, maturity class of peaches assessed at harvest by means of absorption coefficient at 670 nm (μ(a)670) measured in fruit pulp by time-resolved reflectance spectroscopy (TRS), and quality evolution during a 4 week cold storage. 'Spring Belle' peaches were measured for μ(a)670 by TRS, ranked according to decreasing μ(a)670 value, divided into three TRS maturity classes (less (LeM), medium (MeM), and more (MoM) mature), and randomized into 9 samples of 30 fruit each, so that fruits from the whole μ(a)670 range were present in each sample. At harvest and after 1, 2, 3, and 4 weeks of storage at 0 and 4 °C, fruits of each sample were evaluated for firmness, expressible juice, μ(a)670, and ethylene production. LeM and MoM peaches of each sample were analyzed for aroma pattern by a commercial electronic nose and by static HS-GC and for sugar (glucose, fructose, sucrose, and sorbitol) and organic acid (quinic, malic, and citric acids) compositions by HPLC. Principal component analysis (PCA) of electronic nose data emphasized the ability of the E-nose to assess the ripening stage of fruit associated with maturity class, storage time, and storage temperature. The sensors having the highest influence on the pattern were W5S in PC-1, W1S in PC-2, and W2S in PC-3. From linear correlation analysis between PCs and firmness, flavor, and volatile compounds, it was found that PC-1 was related to ethylene production and volatile compounds (mainly acetate esters and ethanol); the highest PC-1 scores were found for fruit belonging to the MoM class after 2 weeks of storage at 4 °C, which showed the rise in ethylene production coupled with the highest total volatile production and sugar and acid composition of ripe peach fruits. PC-2 correlated with hexanal, ethyl acetate, and sugar composition, and PC-3 was mainly related to flavor compounds; both functions significantly changed with cold storage time in different ways according to storage temperature and maturity class.

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Year:  2012        PMID: 23020286     DOI: 10.1021/jf302808g

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  7 in total

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Authors:  Xiaobao Wei; Xingfeng Shao; Yingying Wei; Lingzhi Cheong; Leiqing Pan; Kang Tu
Journal:  J Food Sci Technol       Date:  2018-04-27       Impact factor: 2.701

Review 2.  Electronic-nose applications for fruit identification, ripeness and quality grading.

Authors:  Manuela Baietto; Alphus D Wilson
Journal:  Sensors (Basel)       Date:  2015-01-06       Impact factor: 3.576

3.  Quality assessment of Chinese liquor with different ages and prediction analysis based on gas chromatography and electronic nose.

Authors:  M L Xu; S M Zhu; Y Yu
Journal:  Sci Rep       Date:  2017-07-26       Impact factor: 4.379

4.  Identification of Tobacco Types and Cigarette Brands Using an Electronic Nose Based on Conductive Polymer/Porphyrin Composite Sensors.

Authors:  C Henrique A Esteves; Bernardo A Iglesias; Takuji Ogawa; Koiti Araki; Lucélia Hoehne; Jonas Gruber
Journal:  ACS Omega       Date:  2018-06-18

5.  Are Peach Cultivars Used in Conventional Long Food Supply Chains Suitable for the High-Quality Short Markets?

Authors:  Cosimo Taiti; Corrado Costa; William Antonio Petrucci; Laura Luzzietti; Edgardo Giordani; Stefano Mancuso; Valter Nencetti
Journal:  Foods       Date:  2021-05-31

6.  HS-SPME-GC-MS Volatile Profile Characterization of Peach (Prunus persica L. Batsch) Varieties Grown in the Eastern Balkan Peninsula.

Authors:  Dasha Mihaylova; Aneta Popova; Radka Vrancheva; Ivayla Dincheva
Journal:  Plants (Basel)       Date:  2022-01-08

7.  Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds.

Authors:  Yang Cao; Yuchen Zhang; Menghua Lin; Di Wu; Kunsong Chen
Journal:  Sensors (Basel)       Date:  2022-01-06       Impact factor: 3.576

  7 in total

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