Combination of optical and non-destructive mechanical techniques for the measurement of maturity in peach

Herrero-Langreo, Ana; Fernández-Ahumada, Elvira; Roger, Jean‐Michel; Palagós, B.; Lleó, L.

doi:10.1016/j.jfoodeng.2011.07.004

Cited by 33 publications

(18 citation statements)

References 28 publications

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“…Chlorophyll absorption at 670−680 nm, in fact, can be considered the single spectrum area directly related to fruit ripening and not affected by other pigments. 18,19 The absorption at 670 nm in the fruit pulp is actually measured by time-resolved reflectance spectroscopy (TRS).…”

Section: ■ Introductionmentioning

confidence: 99%

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

Rizzolo

Bianchi

Vanoli

et al. 2012

J. Agric. Food Chem.

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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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Section: ■ Introductionmentioning

confidence: 99%

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

Rizzolo

Bianchi

Vanoli

et al. 2012

J. Agric. Food Chem.

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“…On the other hand, titratable acidity decreases as ripening develops, but it has been shown not to be related with consumer acceptance of peach or nectarine . Thus at a practical level the moment of harvesting is decided based on ripening‐associated changes in ground colour (usually assessed via CIELab's a * ) and flesh firmness . Colour variations have been reported to be tightly linked to ethylene and respiratory changes, having at the same time the advantage of being measured by fast and non‐destructive methods .…”

Section: Introductionmentioning

confidence: 99%

“…Therefore over‐mature fruits (with high PPO activity) are likely to undergo physiological changes that make them invalid for handling and long transportation. On the other hand, harvesting at immature stages (with still low PPO activity) to allow long‐distance shipment leads to consumer dissatisfaction due to excessive hardness and lack of flavour …”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, harvesting at immature stages (with still low PPO activity) to allow long-distance shipment leads to consumer dissatisfaction due to excessive hardness and lack of flavour. 4 Meanwhile, peach PPO activity has been reported to be affected by several factors that can be divided into those inherent to the kind of fruit and genotype and those concerning environmental issues and crop management. In this way it has been stated that nitrogen fertilisation delays ripening 9 but enhances PPO activity, 8 with the subsequent problems in postharvest handling and consumer acceptance.…”

Section: Introductionmentioning

confidence: 99%

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Relationship between polyphenol oxidase activity and nutrition, maturity and quality parameters in flat peach

et al. 2013

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“…Researchers have developed a variety of machine vision system for a wide range of agricultural products, including potatoes [1], mango [1], citrus [2], starfruit [3], grain [4], peach [5], apples [6,7], chestnuts [8], Medjool date [9,10]. However, few papers on red jujube quality evaluation, especially the surface defects, have appeared in literature.…”

Section: Introductionmentioning

confidence: 99%

Surface Defects Detection of Red Jujube Based on Near-Infrared Vision System

Shuai

2013

AMM

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Quality evaluation of agricultural and food products is important for processing, inventory control, and marketing. Fruit surface defects are important quality factors for the jujube industry, especially for high quality jujubes such as Xinjiang red jujube. This paper presents the development and test results of a machine vision system for automatic jujube surface defects detection. Unlike other near-infrared spectrometric approaches, the developed machine vision system uses reflective near-infrared image to evaluate jujube quality by analyzing two-dimensional images. Near-infrared image, vision algorithms and a variety of operational details of the system, including cameras, optics, illumination, and fruit carrier are presented. The complete machine vision system has been built, and the experimental results show that the designed machine vision system is feasible to detect the defects of jujubes.

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Combination of optical and non-destructive mechanical techniques for the measurement of maturity in peach

Cited by 33 publications

References 28 publications

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

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

Relationship between polyphenol oxidase activity and nutrition, maturity and quality parameters in flat peach

Surface Defects Detection of Red Jujube Based on Near-Infrared Vision System

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