Fluorescence method for the assessment of homogeneity of granular mixtures

Matuszek, D.

doi:10.5513/jcea01/18.4.1966

Cited by 4 publications

(8 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The error of the computer analysis of the image in the class determining (1, 2, and 3, mentioned above) and measuring of the surface is at a very low level (from 5.2 × 10 -8 to 5.9 × 10 -8 ), so it can be omitted (Matuszek and Wojtkiewicz 2018). However, the precision compared to the control method was determined at a high level and proved by Matuszek and Królczyk (2021). As presented earlier, the main guideline for the tracer was its colour.…”

Section: Methodsmentioning

confidence: 99%

“…tracer (1), and those of the background (2 and 3). The designation of the two classes defining the background was due to the multi-colour of the sample (Matuszek and Królczyk 2021). Based on the computer analysis of the image, the percentage shares of each class were obtained, but for the calculation of coefficient of variation (CV), only the share of tracer was used.…”

Section: Methodsmentioning

confidence: 99%

“…The state of the composition of granular mixtures can be represented by means of SD, calculated on the basis of the analysis of the composition of the samples, in this case, the content of the tracer in the samples. 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).…”

Section: Methodsmentioning

confidence: 99%

“…The research on novel methods and tools for the assessment of the behaviour of components during the mixing processes is being continued. Methods based on image analysis of mixtures are most commonly used (Boss et al 2002;Realpe and Velasquez 2003;Daumann and Nirschl 2008;Matuszek 2015;Matuszek and Królczyk 2021). A solution of this type was also used to assess the percentage share of tracer in condiment and müsli mixes in this study.…”

mentioning

confidence: 99%

“…It may https://doi.org/10.17221/225/2020-CJFS be debatable whether this procedure is correct; however, in the case of such different and multi-component mixtures, there is no developed solution or reference method. In addition, the usefulness of the tool used (computer image analysis) to assess the quality of granular mixtures has been described and proved in numerous scientific studies (Muerza et al 2002;Realpe and Velasquez 2003;Królczyk 2014;Matuszek and Królczyk 2021). Therefore, based on experience and available literature (presented in this part), it was assumed that the proposed methodology allows determining the quality of mixtures in terms of their homogeneity.…”

mentioning

confidence: 99%

See 4 more Smart Citations

Homogeneity of the selected food mixes

Matuszek¹,

Bierczyński²,

Jędrysiak³

et al. 2021

Czech J. Food Sci.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Homogeneity of the selected food mixes

Matuszek¹,

Bierczyński²,

Jędrysiak³

et al. 2021

Czech J. Food Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

Analysis of selected quality parameters of dried herbs available on the European market

Polańczyk,

Matuszek,

Hys

et al. 2024

Production Engineering Archives

View full text Add to dashboard Cite

International trade in herbs and spices is showing steady growth. This may contribute to the deterioration of their quality (complex supply chains) and the search for alternative, cheaper sources (adulteration). This paper presents the results of quality control of culinary herbs available on the European markets. Eight spices were evaluated: savory, lovage, basil, thyme, marjoram, oregano, fennel, mustard. The tests were performed (from January 2022 till January 2023) for three production batches from five different suppliers, and analyzed such parameters as aroma, overall appearance, impurity content, net weight, moisture content, ash content and essential oils. The analyzed parameters are the basic quality characteristics controlled by institutions overseeing the quality of foodstuffs. The determinations were made on the basis of European standards. The results show deviations from the standards especially in the content of essential oils. Slight exceedances of the standards were also recorded for water and total ash content. On the other hand, for such parameters as net weight, impurity content, general appearance or odor, no overstepping of acceptable standards was recorded.

show abstract

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

et al. 2022

View full text Add to dashboard Cite

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.

show abstract

Fluorescence method for the assessment of homogeneity of granular mixtures

Cited by 4 publications

References 15 publications

Homogeneity of the selected food mixes

Homogeneity of the selected food mixes

Analysis of selected quality parameters of dried herbs available on the European market

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

Contact Info

Product

Resources

About