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

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.

Section: Introductionsupporting

confidence: 63%

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

2020

Sustainability

Self Cite

“…Moreover, it is planned to conduct image analysis based on the CIE L*a*b* method. The usefulness and effectiveness of this method have been confirmed in tests on food products [21,45,46].…”

Section: Discussionmentioning

confidence: 81%

“…However, recently, a workbench was developed based on binary and multicomponent mixtures of whole grains (not ground) [18,19]. In the latest tests, interesting results have been obtained by combining the fluorescence phenomenon and computer image analysis to assess the homogeneity of components subjected to grinding [17,18,20,21]. Excellent results have been obtained for vision systems based on grayscale image analysis [22].…”

Section: Introductionmentioning

confidence: 99%

Computer Image Analysis as a Method of Evaluating the Quality of Selected Fine-Grained Food Mixtures

Biłos

2021

Sustainability

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This work presents the possibility of using computer image analysis to assess the quality of fine-grained food mixtures. The research was carried out using a mixture of wheat flour and algae. These types of ingredients are used, among others, to produce pasta, which is a functional food due to its enrichment with algae. The tests were carried out for mixtures with different shares of algae: 2%, 3% and 4% w/w. Mixing was carried out in a 3D mixer (Turbula® mixer), in which 20, 40 and 60 mL mixing vessels were placed. At the end of the process, samples were taken from four parts (sectors) of the mixing vessels, and then photos were taken with a digital camera. For this purpose, a specially prepared chamber was used, ensuring stable conditions for taking photos. The obtained images were analyzed in the Patan® program, determining the color on the RGB-256 scale. The obtained values were compared with the previously prepared reference specimen (simple linear regression formula). Based on this, it was possible to determine the share of algae in the samples taken and thus to estimate the homogeneity of the tested mixtures. The obtained results indicate the high reliability of the proposed solution.

“…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%

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

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.