Standardization and Performance Test of Crystallization with Additives Applied to Wheat Samples

Kahl, Johannes; Busscher, Nicolaas; Mergardt, Gaby; Andersen, Jens‐Otto; Doesburg, Paul; Arlai, Aumaporn; Ploeger, Angelika

doi:10.1007/s12161-015-0142-6

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…Kahl et al [3,21] discussed validation strategies for systemic approaches to organic food quality determination, including the method of copper chloride crystallization with additives. This stimulated an ongoing development of a European consortium of crystallization laboratories towards standardized methodology with respect to sample preparation [13,[22][23][24][25][26], crystallization [18,19,[27][28][29], data evaluation including multivariate statistical analysis of computerized image analysis [30][31][32][33], and visual evaluation using defined morphological criteria [7,8,14].…”

Section: Crystallization With Additivesmentioning

confidence: 99%

Kinesthetic engagement in Gestalt evaluation outscores analytical ‘atomic feature’ evaluation in perceiving aging in crystallization images of agricultural products

et al. 2021

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There is an increasing interest in a systemic approach to food quality. From this perspective, the copper chloride crystallization method is an interesting asset as it enables an estimation of a sample’s ‘resilience’ in response to controlled degradation. In previous studies, we showed that an ISO-standardized visual evaluation panel could correctly rank crystallization images of diverse agricultural products according to their degree of induced degradation. In this paper we examined the role of contextual sensitivity herein, with the aim to further improve the visual evaluation. To this end, we compared subjects’ performance in ranking tests, while primed according to two perceptional strategies (levels: analytical vs. kinesthetic engagement), according to a within-subject design. The ranking test consisted out of wheat and rocket lettuce crystallization images, exhibiting four levels of induced degradation. The perceptual strategy imbuing kinesthetic engagement improved the performance of the ranking test in both samples tested. To the best of our knowledge, this is the first report on the training and application of such a perceptual strategy in visual evaluation.

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Section: Crystallization With Additivesmentioning

confidence: 99%

Kinesthetic engagement in Gestalt evaluation outscores analytical ‘atomic feature’ evaluation in perceiving aging in crystallization images of agricultural products

et al. 2021

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“…The organic acids stimulate branching [16] and the amino-acids inhibit it [11]. In the presence of the polysaccharides the crystallograms have dendritic structures [16][17][18][19]. With proteins we can observes spherulitic crystals [6-9, 11, 20-21].…”

Section: Biocrystallisation Testmentioning

confidence: 99%

“…In accordance with ISO-Norms three laboratories, the Department of Food Quality and Food Culture at Kassel University of Germany, the Louis Bolk Institute in the Netherlands and the BRAD Byodinamic Research Associaton in Denmark, produced the standardization work of the method [5,19,[28][29][30][31]. This is the first paper about the biocrystallization of mineral waters and in the literature has no data for a specific standardized evaluation, but the general panel established by Huber [28] and comprehensively developed by Doesburg [31] can be extrapolated with good reliability in the study of mineral waters biocrystallization.…”

Section: Digital Images Evaluationmentioning

confidence: 99%

The Influence of Natural Saline Solutions on Dihydrate Copper Chloride Crystallization

Cimpean¹,

Berteanu²

2020

Rev. Chim.

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The crystallization of salt solutions is strongly affected regarding the shape of the crystalline network by the presence of impurities, even in extremelly small quantities. This sensitivity is extremely high especially for dihydrate copper chloride (DCC) solution. The phenomenon is used for early diagnostic in medicine and for food quality assessment and named sensitive crystallization or biocrystallization. The evaluation is based on the morphology of the DCC network that crystallizes on a Petri plate containing a fine film of this solution to which a small amount of the substrate analyzed is added. For this reason, the understanding of the influence of all physico-chemical factors on the crystallization of the DCC solution is very important. To help elucidate some of these aspects, we analyzed by biocrystallization a series of 30 mineral waters from Romania, following their influence on the morphology of the DCC crystallization network. This is the first paper about biocrystallization of natural mineral waters. Following this analysis we noticed specific patterns generated by the predominant chemical composition and the total mineralization of the analyzed waters. These results can be extrapolated in the medical and agro-food field, contributing to the correct interpretation of the biocrystallisation test.

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“…Digital image analysis has a wide application in many areas of scientific exploration. The methods of image analysis are based on revealing some distinguishing features, such as morphometric, morphological or textural This method has been very promising in biology and medicine [1,2], last years it holds much favor in investigation of the quality of food [3,4]. Modern technologies give a possibility to use SEM images in engineering, construction and material sciences [5,6].…”

Section: Introductionmentioning

confidence: 99%

On using escort distributions in digital image analysis

Soloviev¹,

Ampilova²,

Сергеев³

2021

J. meas. eng.

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Methods of digital image analysis find wide application both in scientific research and in many branches of industry. During the last decades, interest has grown in images with multifractal structure which are obtained in biology, medicine, chemistry and studying the soil. The mathematics of fractals and fractal geometry are well known and studied. However, despite this, a common approach to designing the methods of practical investigation of such images has not been developed until now. The main purpose of this work is to propose the using of multifractal formalism as the mathematical tool for the statistical description of multifractal sets. Such a description adequately depicts the chaotic behavior of the majority of real systems. The method for calculation of Rényi and singularity spectra based on using parametrized spectra, which are obtained from escort (zooming) distributions of an initial measure, is considered. The method for comparing images based on using vectors of divergences calculated for the sequence of escort distributions is proposed. The role of parametrized spectra as the tool for the approximation of any part of the singularity spectrum is substantiated. An estimation of the rate of growth of the divergence vector is obtained. Main theoretical results are confirmed by numerical experiments with images of biomedical preparations. These show the ability of the implemented methods to find subtle distinctions in image structure for a simple choice of an initial measure.

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Standardization and Performance Test of Crystallization with Additives Applied to Wheat Samples

Cited by 10 publications

References 10 publications

Kinesthetic engagement in Gestalt evaluation outscores analytical ‘atomic feature’ evaluation in perceiving aging in crystallization images of agricultural products

Kinesthetic engagement in Gestalt evaluation outscores analytical ‘atomic feature’ evaluation in perceiving aging in crystallization images of agricultural products

The Influence of Natural Saline Solutions on Dihydrate Copper Chloride Crystallization

On using escort distributions in digital image analysis

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