NMR for Internal Quality Evaluation of Fruits and Vegetables

Chen, P.; McCarthy, Michael J.; Kauten, Robert J.

doi:10.13031/2013.31217

Cited by 161 publications

(42 citation statements)

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“…Ultrasounds cannot penétrate deeply into the pulp of most fruits due to the porous nature of the tissue, yet some promising results were obtained by using low-frequency ultrasounds. 4 Nuclear magnetic resonance appears promising in terms of specificity and spatial resolution, 5 but is not suitable for in-the-field or mass applications.…”

Section: Introductionmentioning

confidence: 99%

Time-Resolved Reflectance Spectroscopy Applied to the Nondestructive Monitoring of the Internal Optical Properties in Apples

et al. 2001

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Time-resolved reflectance has been used for the nondestructive measurement of optical properties in apples. The technique is based on the detection of the temporal dispersión of a short láser pulse injected into the probed médium. The time distribution of re-emitted photons interpreted with a solution of the diffusion equation yields the mean valúes of the absorption and reduced scattering coefficients of the médium. The proposed technique proved useful for the measurement of the absorption and scattering spectra of different varieties of apples, revealing the spectral shape of chlorophyll. No major variations were observed in the experimental data when the fruit was peeled, showing that the optical properties measured were those of the pulp. With this technique the change in chlorophyll absorption during storage and ripening could be followed. Finally, a compact prototype working at few selected wavelengths was designed and constructed, demonstrating potentialities of the technique for industrial applications.

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Section: Introductionmentioning

confidence: 99%

Time-Resolved Reflectance Spectroscopy Applied to the Nondestructive Monitoring of the Internal Optical Properties in Apples

et al. 2001

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“…The MRI, together with X-Ray imaging techniques are the most extended techniques capable of evaluating global internal quality in a non-destructive way [6]. Magnetic Resonance Imaging (MRI) makes use of the magnetic properties that some atomic nuclei have, especially hydrogen nuclei from water molecules.…”

Section: Introductionmentioning

confidence: 99%

“…However, there are numerous properties of the tissue water which can be exploited to provide contrast and these can be used to obtain other useful information. The MRI imaging technique has been proposed to assess internal injury due to field conditions: water-core in apples [6], and storage treatments as: chilling injury in persimmons [7] and internal breakdown in melons [8].…”

Section: Introductionmentioning

confidence: 99%

Mealiness assessment in apples and peaches using MRI techniques

Elorza¹,

Ortíz²,

Ruiz-Altisent³

et al. 2000

Magnetic Resonance Imaging

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Mealiness (woolliness in peaches) is a negative attribute of sensory texture that combines the sensation of a desegregated tissue with the sensation of lack of juiciness. In this study, 24 apples cv. Top Red and 8 peaches cv. Maycrest, submitted to 3 and 2 different storage conditions respectively have been tested by mechanical and MRI techniques to assess mealiness. With this study, the results obtained on apples in a previous work have been validated using mathematical features from the histograms of the T2 maps: more skewed and the presence of a tail in mealy apples, similar to internal breakdown. In peaches, MRI techniques can also be used to identify woolly fruits. Not all the changes found in the histograms of woolly peaches are similar from those observed in mealy apples pointing to a different underlying physiological change in both disorders.

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“…The latest technologies reached terahertz (THz) imaging by development of new light sources and detectors (Hu and Nuss, 1955;Kawase et al, 2003) and studies were started applying to bioproduction field by use of these new devices. In addition, nuclear magnetic resonance (NMR) technology has been also applied to bioproducts (Chen et al, 1989;Song and Litchfield, 1990;Wang et al, 1988). In this presentation, the characteristics of the various lights used for bioproducts are introduced.…”

Section: Introductionmentioning

confidence: 99%

Machine Vision Based on Optical Properties of Biomaterials for Fruit Grading System

Kondo

2006

ecb

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It is known that biomaterials have unique characteristics in their color, shape, size, spectral reflectance, and biological structure which are different from industrial materials. Specific machine vision designs are often required for constructing inspection, monitoring, measuring, or production systems to handle the biomaterials. In this presentation, cuticular layers on fruit surfaces are in focus and a direct lighting device with a polarizing filter, which was developed for a fruit inspection system is introduced, because illumination is one of the most important components.Since the biomaterials have various reflectance in different wavelength bands, characteristics of light from gamma ray to terahertz were described. In the visible region, there are many types of light sources, which have different properties on luminance, lumen maintenance, color rendering, color temperature, life, and cost. A high quality image acquisition requires a proper light source selection. Fruit grading facilities are places where the largest number of machine vision systems are practically used in agricultural fields. In this paper, a conventional fruit grading machine and a fruit grading robot with machine visions are introduced. In addition, a contribution of the imaging technologies of the grading systems to the food traceability system is explained.

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NMR for Internal Quality Evaluation of Fruits and Vegetables

Cited by 161 publications

References 0 publications

Time-Resolved Reflectance Spectroscopy Applied to the Nondestructive Monitoring of the Internal Optical Properties in Apples

Time-Resolved Reflectance Spectroscopy Applied to the Nondestructive Monitoring of the Internal Optical Properties in Apples

Mealiness assessment in apples and peaches using MRI techniques

Machine Vision Based on Optical Properties of Biomaterials for Fruit Grading System

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