Development of acidophilus milk via selected probiotics & prebiotics using artificial neural network

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Advances in Bioscience and Biotechnology

ISSN Print: 2156-8456
ISSN Online: 2156-8502
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"Development of acidophilus milk via selected probiotics & prebiotics using artificial neural network"
written by Zeynab Raftaniamiri, Pratima Khandelwal, B. R. Aruna,
published by Advances in Bioscience and Biotechnology, Vol.1 No.3, 2010

has been cited by the following article(s):

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[1]	A Review of Plant-Based Drinks Addressing Nutrients, Flavor, and Processing Technologies Foods, 2023 DOI:10.3390/foods12213952

[2]	Fundamentals and Applications of Artificial Neural Network Modelling of Continuous Bifidobacteria Monoculture at a Low Flow Rate Data, 2022 DOI:10.3390/data7050058

[3]	Fundamentals and Applications of Artificial Neural Network Modelling of Continuous Bifidobacteria Monoculture at a Low Flow Rate Data, 2022 DOI:10.3390/data7050058

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[5]	Powdered honey – drying methods and parameters, types of carriers and drying aids, physicochemical properties and storage stability Trends in Food Science & Technology, 2019 DOI:10.1016/j.tifs.2019.03.019

[6]	Quality of Rayeb milk fortified with Tamr and honey British Food Journal, 2018 DOI:10.1108/BFJ-04-2017-0259

[7]	Microbial Cultures and Enzymes in Dairy Technology Advances in Medical Technologies and Clinical Practice, 2018 DOI:10.4018/978-1-5225-5363-2.ch006

[8]	Antioxidant property of synbiotic combination of Lactobacillus sp. and wheat bran xylo-oligosaccharides Journal of Food Science and Technology, 2015 DOI:10.1007/s13197-014-1481-9

[9]	Trends in dairy and non-dairy probiotic products - a review Journal of Food Science and Technology, 2015 DOI:10.1007/s13197-015-1795-2

[10]	Optimisation of spray drying process parameters for low‐fat honey‐based milk powder with antioxidant activity International Journal of Food Science & Technology, 2014 DOI:10.1111/ijfs.12416

[11]	Optimisation of spray drying process parameters for low-fat honey-based milk powder with antioxidant activity International Journal of Food Science & Technology, 2014 DOI:10.1111/ijfs.12416

[12]	Research on Ability Evaluation Model of Compound Talents of Information Technology Based on Artificial Neural Network 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2013 DOI:10.1109/IHMSC.2013.111

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