Analysis of kinetics of multicomponent, heterogeneous granular mixtures - Laminar and turbulent flow approach

Królczyk, Jolanta B.

doi:10.1515/cpe-2016-0015

Cited by 6 publications

(5 citation statements)

References 26 publications

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“…Mixing is a key process in feed production. The importance of mixing as well as factors affecting the correctness of the process have been described by many authors [3,[5][6][7][8][9][10][11][12][13][14][15][16]. Many years of research were insufficient to the exhaust the issue, thus warranting further studies being conducted and novel solutions being employed for that purpose.…”

Section: Introductionmentioning

confidence: 99%

The use of UV-induced fluorescence for the assessment of homogeneity of granular mixtures

Matuszek

2019

Open Chemistry

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This paper presents the results of fluorescence-based analysis of homogeneity of five multicomponent granular mixtures. Analyses were performed using solutions of selected substances capable of emitting light following UV irradiation, namely Tinopal 0.03% and Rhodamine B 0.01%. Mixtures were spiked with the key component consisting of maize grains coated with the fluorescent solution. The tracer content was determined on the basis of computer image analysis, and the results were compared to those obtained using the traditional weighing method. On this basis, the proposed method was verified and assessed for applicability in estimating the homogeneity of mixtures comprised of 8, 10, 11, 14, and 20 components. The results suggest that both Tinopal and Rhodamine B may be used to estimate the tracer content in the tested mixtures.

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Section: Introductionmentioning

confidence: 99%

The use of UV-induced fluorescence for the assessment of homogeneity of granular mixtures

Matuszek

2019

Open Chemistry

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“…In the case of multi-component mixtures, most often uses the indirect method based on determining the share of the key component (tracer) (Eisenberg 2008;Asachi et al 2018;Matuszek and Królczyk 2021). Determining the share of each component in granular mixtures, if possible, is very time-consuming because, in the case of multi-component mixture, it involves manual separation (Królczyk 2016). However, in the case of mixtures characterised by considerable differentiation in terms of the characteristics of their components (such as additives in the form of powders), such assessment (the share of each component) is sim-Figure 1.…”

Section: Methodsmentioning

confidence: 99%

Homogeneity of the selected food mixes

Matuszek¹,

Bierczyński²,

Jędrysiak³

et al. 2021

Czech J. Food Sci.

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The article presents the results of homogeneity assessments for selected food mixes based on computer image analysis. The study was conducted on müsli and condiment mixes standardly available on the consumer market. A total of 40 different ready-for-use products were analysed. Collected samples from three package of each product were placed in a special chamber and then photographed. Photographs were then subjected to computer image analysis to acquire information on the percentage content of individual components. Homogeneity assessment was based on the contents of a selected component called tracer and the coefficient of variation (CV). Lower CV values (3.02–27.31%) and thus better homogeneity was observed for condiment mixes as compared to müsli mixes (3.57–59.15%). Fourteen of twenty condiment mixes had adequate (acceptable at CV ≤ 10%) mixing degree. For the müsli, only six of the tested mixes had appropriate homogeneity. The presented results are a preliminary to developing an image-based methodology for determining the uniformity of granular dry food mixes.

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“…However, most often the condition of a multicomponent granular mixture is determined on the basis of the content of the selected key component in the taken samples. The key ingredient can be a deliberately introduced element like microtracer-colored uniformly sized iron particles or microgrits [20][21][22][23][24]. This solution allows the quick assessment of the homogeneity of grain mixtures in industrial conditions.…”

Section: Introductionmentioning

confidence: 99%

Ultraviolet Fluorescence in the Assessment of Quality in the Mixing of Granular Material

Matuszek

2020

Sustainability

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The aim of the study was to determine the possibility of using ultraviolet fluorescence to evaluate the quality of the mixing process of industrial feed. A laboratory funnel-flow mixer was used for the mixing process. The studies were carried out using three different feeds for pigs. A key component in the form of ground grains of yellow maize covered with the fluorescent substance Rhodamine B was introduced into the mixer before the mixing process began. After the illumination of the sample by UV lamps, the images were taken with a digital camera. The images were analyzed in Patan ® software. The information obtained on the percentage content of the key component was used for further calculations. At the same time, the tracer content was determined using the control method (weight method). The comparison of the results obtained by the two methods (statistical comparative analysis) did not indicate significant differences. Therefore, the usefulness of the proposed method to track the share of the key component by inducing it to glow in the ultraviolet light has been proven. The introduced tracer is also one of the components of the feed, which translates into the possibility of observing the material having the characteristics of a mixed material.

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Analysis of kinetics of multicomponent, heterogeneous granular mixtures - Laminar and turbulent flow approach

Cited by 6 publications

References 26 publications

The use of UV-induced fluorescence for the assessment of homogeneity of granular mixtures

The use of UV-induced fluorescence for the assessment of homogeneity of granular mixtures

Homogeneity of the selected food mixes

Ultraviolet Fluorescence in the Assessment of Quality in the Mixing of Granular Material

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