Zastosowanie znaczników fluorescencyjnych do oceny jednorodności wieloskładnikowych ziarnistych mieszanek pasz

Matuszek, D.; Biłos, Łukasz

doi:10.15199/62.2017.11.27

Cited by 4 publications

(4 citation statements)

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“…In the research carried out by the authors of this work, an optical method was used that combines the fluorescence of a tracer in ultraviolet light with the acquisition of images by means of a digital camera with a standard lens. The usefulness of the proposed method in the mixing of whole grains in two-and multicomponent systems was confirmed, and the results obtained were described in the works of Matuszek et al [40][41][42]. Referring to the commonness of powders in industrial practice and the limitations of computer image analysis in the evaluation of their mixing [4][5][6]30], the developed method was tested in the mixing of multicomponent feed consisting of ground grains and additives in the form of powders-so-called micronutrients.…”

Section: Introductionsupporting

confidence: 62%

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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Section: Introductionsupporting

confidence: 62%

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

Matuszek

2020

Sustainability

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“…In the methods based on image analysis, a component whose fraction was estimated was often colored. In the research conducted by the author of this paper, substances featuring fluorescence under the influence of ultraviolet radiation (Tinopal, Rhodamine B, Uranine, Eosine) were used for dyeing [29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

“…This paper presents one of the stages of research conducted by the author for several years. So far, a series of tests have been performed mainly with the use of granular multicomponent mixtures containing whole grains [29,31,32]. Recent studies, including those presented below, concern the mixing of components after fineness [29].…”

Section: Introductionmentioning

confidence: 99%

“…So far, a series of tests have been performed mainly with the use of granular multicomponent mixtures containing whole grains [29,31,32]. Recent studies, including those presented below, concern the mixing of components after fineness [29]. In this aspect, a research problem has been addressed to verify the possibility of using fluorescence to assess the homogeneity of multicomponent mixtures subjected to the grinding process.…”

Section: Introductionmentioning

confidence: 99%

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Fluorescence in the assessment of the share of a key component in the mixing of feed

Matuszek

2020

Open Chemistry

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This paper presents the results of the mixing of a multicomponent feed for cattle. Three types of mixtures with different proportions of individual components and granulometric composition were selected. After the mixing process, the fraction of the key component (tracer) was determined. Tracer consisted of crushed grains of yellow maize, which was wet treated with a 0.01% solution of Rhodamine B. A tracer with two different average particle sizes d1 = 2.0 mm and d2 = 1.25 mm was introduced into the mixture. Then, the sample was illuminated with UV light, and the content of the tracer in the sample was evaluated using the computer image analysis. In addition, the tracer was separated to determine its fraction using a laboratory scale. From the obtained results, the high reliability of the fluorescence optical method for the evaluation of the homogeneity of granular multicomponent mixtures was proved. It was also observed that slightly better results were obtained for a tracer with a larger average particle size (d = 2.0 mm), although the comparative analysis did not indicate a significant statistical difference in the results in each series of tests.

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Assessing the Homogeneity of Forage Mixtures Using an RGB Camera as Exemplified by Cattle Rations

et al. 2022

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The article examines existing methods for assessing the homogeneity of feed mixes in the feed industry and agriculture. As an alternative to existing approaches, the authors offer a low-cost online technology to assess the homogeneity of feed. The feedstuff under study includes feed mixes for cattle or compound feed consisting of naturally-grown feed (green mass of freshly cut grass, haylage, corn silage, etc.) and concentrated components (grain milling, sunflower, and soybean meal). The proposed method based on an RGB camera, a diode lamp, filters, and software is approved by a preliminary study of the physical properties of feed mix components by Specim IQ hyperspectral camera and revealing characteristics of light absorption of each type of components (concentrated/natural origin). The article presents a method of processing a feed mix image fixed by an RGB camera through light filters using Matlab Image Processing Toolbox tools, namely, a Color Thresholder app and Image Region Analyzer app.

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Zastosowanie znaczników fluorescencyjnych do oceny jednorodności wieloskładnikowych ziarnistych mieszanek pasz

Cited by 4 publications

References 1 publication

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

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

Fluorescence in the assessment of the share of a key component in the mixing of feed

Assessing the Homogeneity of Forage Mixtures Using an RGB Camera as Exemplified by Cattle Rations

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