Prospects for the rapid detection of mealiness in apples by nondestructive NMR relaxometry

Elorza, Pilar Barreiro; Moya, A.; Hernando, Eva Cristina Correa; Ruiz-Altisent, Margarita; Fernández-Valle, Encarnación; Peirs, Ann; Wright, Kevin M.; Hills, B.P.

doi:10.1007/bf03166119

Cited by 44 publications

(25 citation statements)

References 7 publications

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“…In other pathologies, such as mealiness and internal browning, T 2 values, observed in the high magnetic field, show a decrease compared to sound tissues (Barreiro et al 2002;Hernández-Sánchez et al 2007). This is due to the microscopic diffusion produced by the magnetic susceptibility changes when the integrity of the cellular membranes is affected.…”

Section: Discussionmentioning

confidence: 99%

Non-Destructive Global and Localized 2D T1/T2 NMR Relaxometry to Resolve Microstructure in Apples Affected by Watercore

Herreros

Fernández-Valle

Elorza

2014

Food Bioprocess Technol

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Apples can be considered as having a complex system formed by several structures at different organization levels: macroscale (>100 μm) and microscale (<100 μm). This work implements 2D T 1 /T 2 global and localized relaxometry sequences on whole apples to be able to perform an intensive non-destructive and non-invasive microstructure study. The 2D T 1 /T 2 cross-correlation spectroscopy allows the extraction of quantitative information about the water compartmentation in different subcellular organelles. A clear difference is found as sound apples show neat peaks for water in different subcellular compartments, such as vacuolar, cytoplasmatic and extracellular water, while in watercore-affected tissues such compartments appear merged. Localized relaxometry allows for the predefinition of slices in order to understand the microstructure of a particular region of the fruit, providing information that cannot be derived from global 2D T 1 /T 2 relaxometry.

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Section: Discussionmentioning

confidence: 99%

Non-Destructive Global and Localized 2D T1/T2 NMR Relaxometry to Resolve Microstructure in Apples Affected by Watercore

Herreros

Fernández-Valle

Elorza

2014

Food Bioprocess Technol

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“…su a F th fr T th c 1 cytoplasm are stretched in the T 2 dimension probably as a result of diffusion through strong internal magnetic fields created by the th skew histograms of mealy apples observed by Barreiro et al 9 . Multidimensional relaxometry can also be combined with NMR pulse sequences which probe water diffusion.…”

Section: The Water Self-diffusion Propagatormentioning

confidence: 91%

Developing NMR probes of the microscopic water distribution in food

Hills

Gravelle

Wright

et al. 2006

13th World Congress of Food Science &Amp; Technology

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We briefly review the current status of multidimensional NMR relaxation and diffusion studies of the microscopic water distribution in complex multiphase, multicomponent food systems, including a detailed discussion of micro-phase separated mixed biopolymer systems and water compartmentation in cellular plant tissue. We propose a number of novel pulse sequences for the ultrafast acquisition of the multidimensional relaxation spectra.

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“…IC1 to IC3 could be related to structural changes in the apples as they evolve from non-mealy to mealy [47]. As to the scores, although ICs 2, 3 and 6 all separate to a certain extent the apples based on the colour of the face measured, the best separation is observed for IC4.…”

Section: Apple Datamentioning

confidence: 99%

Two novel methods for the determination of the number of components in independent components analysis models

Bouveresse

Moya-González

Ammari

et al. 2012

Chemometrics and Intelligent Laboratory Systems

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Keywords: Independent Components Analysis (ICA) Validation Durbin-Watson criterionIndependent Components Analysis is a Blind Source Separation method that aims to find the pure source signals mixed together in unknown proportions in the observed signals under study. It does this by searching for factors which are mutually statistically independent. It can thus be classified among the latent-variable based methods. Like other methods based on latent variables, a careful investigation has to be carried out to find out which factors are significant and which are not. Therefore, it is important to dispose of a validation procedure to decide on the optimal number of independent components to include in the final model. This can be made complicated by the fact that two consecutive models may differ in the order and signs of similarly-indexed ICs. As well, the structure of the extracted sources can change as a function of the number of factors calculated. Two methods for determining the optimal number of ICs are proposed in this article and applied to simulated and real datasets to demonstrate their performance.

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Prospects for the rapid detection of mealiness in apples by nondestructive NMR relaxometry

Cited by 44 publications

References 7 publications

Non-Destructive Global and Localized 2D T1/T2 NMR Relaxometry to Resolve Microstructure in Apples Affected by Watercore

Non-Destructive Global and Localized 2D T1/T2 NMR Relaxometry to Resolve Microstructure in Apples Affected by Watercore

Developing NMR probes of the microscopic water distribution in food

Two novel methods for the determination of the number of components in independent components analysis models

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