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Water Effective Diffusion Coefficient in Dairy Powder Calculated by Digital Image Processing and through Machine Learning Algorithms of CLSM Micrographs

التفاصيل البيبلوغرافية
العنوان: Water Effective Diffusion Coefficient in Dairy Powder Calculated by Digital Image Processing and through Machine Learning Algorithms of CLSM Micrographs
المؤلفون: Valentyn A. Maidannyk, Yuriy Simonov, Noel A. McCarthy, Quang Tri Ho
المصدر: Foods, Vol 13, Iss 1, p 94 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Chemical technology
مصطلحات موضوعية: diffusion, powders, Matlab, confocal microscopy, Python, machine learning, Chemical technology, TP1-1185
الوصف: Rehydration of dairy powders is a complex and essential process. A relatively new quantitative mechanism for monitoring powders’ rehydration process uses the effective diffusion coefficient. This research focused on modifying a previously used labor-intensive method that will be able to automatically measure the real-time water diffusion coefficient in dairy powders based on confocal microscopy techniques. Furthermore, morphological characteristics and local hydration of individual particles were identified using an imaging analysis procedure written in Matlab©—R2023b and image analysis through machine learning algorithms written in Python™-3.11. The first model includes segmentation into binary images and labeling particles during water diffusion. The second model includes the expansion of data set selection, neural network training and particle markup. For both models, the effective diffusion follows Fick’s second law for spherical geometry. The effective diffusion coefficient on each particle was computed from the dye intensity during the rehydration process. The results showed that effective diffusion coefficients for water increased linearly with increasing powder particle size and are in agreement with previously used methods. In summary, the models provide two independent machine measurements of effective diffusion coefficient based on the same set of micrographs and may be useful in a wide variety of high-protein powders.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2304-8158
Relation: https://www.mdpi.com/2304-8158/13/1/94; https://doaj.org/toc/2304-8158
DOI: 10.3390/foods13010094
URL الوصول: https://doaj.org/article/e1b9dd1335984c53a81eee2e70c19516
رقم الأكسشن: edsdoj.1b9dd1335984c53a81eee2e70c19516
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23048158
DOI:10.3390/foods13010094