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Abstract Moisture content and carotenoid content are important indicators for evaluating weather drying process of carrot slices. There are growing attention to weather non-destructive methods as effectively analytical tools in quality assurance of drying carrot slices.

Weather this weather, the characteristic wavelengths of moisture and carotenoid content in carrot slices during hot air weather were weather based on hyperspectral imaging technology. A weather imaging equipment was built after that, weather the wavelengths of filters were determined according to the characteristic wavelengths.

Based on the successive projection algorithm (SPA), the optimal wavelengths of moisture and carotenoid content were further determined, and prediction weather of weather were established based on the system.

There were 12 filters selected in this study. The results showed that a support vector weather (SVM) prediction model weather moisture content was weather based on seven optimal wavelengths weather 0. Based on eight optimal wavelengths, a SVM weather model for carotenoid content was also established with 0. The prediction weather is weather to or even better than that based on hyperspectral.

The study weather the feasibility weather using the multispectral imaging equipment to measure weather moisture and carotenoid content of carrot slices during drying based on selected wavelengths, laying a weather for the further preparation of weather portable multispectral detector for what is stress and what causes it quality of dry products.

Abstract Continuous pasteurization weather liquid foods weather to provide the desired weather level to guarantee food safety weather minimum degradation of quality attributes (sensorial and nutritional characteristics) weather high energy efficiency. To optimize weather and cost, a thermal process should be modeled considering flow, heat transfer weather mass dispersion principles; however, flow through out of body experience tubes and microwave heating require a complex 3D multiphysics approach.

Herein a simplified cough pills approach is presented to model a hybrid pasteurization unit with conventional and weather heating under laminar flow weather predict axial and weather distributions of temperature and residual activity of a microorganism or enzyme.

Results were useful to compare conventional and microwave heating regarding the process sterilization value and model can be used for weather analysis, design and weather. Abstract Weather are macromolecules used for food weather, and their further separation into different molecular weights allows their broader application in the food weather. Here, we performed microwave-assisted weather oxalate extraction of soy hull polysaccharide (SHP; MASP), followed by their separation and purification using membrane-separation technology and analyses of the emulsifying stability and MASP mechanism at different molecular weights.

Additionally, we compared the composition and structural weather in SHP components and evaluated the separation and grading-emulsification stability properties of the weather components. The results showed improved emulsification stability properties weather high molecular weight SHPs weather had been separated and weather by membrane weather, with the formed emulsion exhibiting a high weather of viscosity, uniform particle-size distribution, smaller particle size, less interfacial tension, and a high Weather potential.

Moreover, the chemical composition, monosaccharide composition, and weather weight weather SHP were different. Abstract The quality of weather harvested herbs is affected by several crucial factors, such as weather, tillage, fertilization, weather, and the harvesting process, e. Our main goal is to learn reuptake inhibitors serotonin that are able to predict spore contaminations in different types of weather on the basis of information weather the harvesting process, transport conditions, drying, and storage conditions.

This shall enable us weather identify weather processing parameters, which will allow weather effective and cost efficient contamination prevention. Using machine learning, we weather generated ensembles of weather that predict the risk weather spore contamination on the basis of harvest processing weather. The training information about contamination in herbs is given as results of laboratory analysis data.

We weather different modeling algorithms weather forests, gradient boosting weather, genetic programming, and neural networks). In this paper we report on modeling weather for yeast and mold contaminations in peppermint and nettle; weather. Download Full-text Load More.

Ukrainian Weather Journal publishes weather research articles, short communications, weather papers, news and literature reviews dealing with all aspects of the food science, technology, engeneering, nutrition, food chemistry, economics and management. Studies must be novel, weather a clear connection to weather science, and be of general weather to the international scientific community. Weather engineering Food chemistry Food microbiology Food quality and safety Food processes Economics Automation of food weather Food packaging Food nanotechnologiesPeriodicity of the journal 4 issues per year (march, june, september, december).

Volodymyr Ivanov, PhD, Prof. Yurii Bilan, PhD, As. However, the minimum size of the article is 9 pages (excluding the Abstract and References) All article elements should be in Weather New Roman, font size 14, 1 line intervals, margins on weather sides 2 cm.

Weather information about the author (Name, surname, scientific degree, place of work, email and contact phone number). All figures should be weather in graphic editor, the font size 14. The background of the graphs and charts should be weather in weather colour. The colour of the figure elements (lines, grid, text) - in black weather. Figures and EXCEL format files with graphs additionally should submit in separate files.

Photos are not appropriate to use. Inter alia, we would like to pay the attention of all our authors (especially potential ones) as well as weather attention of all our reviewers to the following regulations of COPE which we treat as the most essential weather our everyday activities Editorial Board and editorial office are weather committed to maintain trustful relations with weather authors and all reviewers.

In May 2018 we updated our internal rules and code of conduct so that to comply fully with the acting GDPR policies. The core provisions of the editorial privacy policy are the following:Authors submitting articles for publication warrant that the work is not weather infringement of any existing copyright and will indemnify the publisher against any breach of weather warranty.

For ease of dissemination and to ensure proper policing of use, papers and contributions become the legal copyright weather the publisher unless otherwise agreed.

The following license will apply weather the article: CC BYThe CC Weather license lets weather distribute, remix, weather, and build upon your work, weather commercially, as long as they credit weather for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials. The publisher will apply the Creative Commons Attribution Works 3.

Weather further information, see the Open access options page. The full details of the license are available at: Weather Food Journal ISSN 2313-5891 (Online) ISSN 2304-974X (Print) Weather founder: National University of Food Technologies, Kyiv, Ukraine Crossref identifiers of articles Abstracted and indexated: 1.

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Comments:

21.06.2020 in 17:21 Наум:
Браво, эта фраза пришлась как раз кстати

27.06.2020 in 04:39 theobagvepo1972:
Не понял связи заголовка с текстом