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<Article>
<Journal>
				<PublisherName>Tarbiat Modares University</PublisherName>
				<JournalTitle>Journal of Agricultural Science and Technology</JournalTitle>
				<Issn>1680-7073</Issn>
				<Volume>28</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Production of Probiotic Kiwifruit Juice Containing Lacticaseibacillus paracasei B31-2: Investigation of Probiotic Viability, Physicochemical Properties, and AI Predictive Insights</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>633</FirstPage>
			<LastPage>651</LastPage>
			<ELocationID EIdType="pii">16878</ELocationID>
			
<ELocationID EIdType="doi">10.48311/jast.2026.16878</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Behrooz</FirstName>
					<LastName>Alizadeh Behbahani</LastName>
<Affiliation>Department of Food Science and Technology, Faculty of Animal Science and Food Technology, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Islamic Republic of Iran.</Affiliation>
<Identifier Source="ORCID">0000-0002-1447-5088</Identifier>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Jooyandeh</LastName>
<Affiliation>Department of Food Science and Technology, Faculty of Animal Science and Food Technology, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Islamic Republic of Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Morteza</FirstName>
					<LastName>Taki</LastName>
<Affiliation>Department of Agricultural Machinery and Mechanization Engineering, Faculty of Agricultural Engineering and Rural Development, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Islamic Republic of Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Fereshteh</FirstName>
					<LastName>Falah</LastName>
<Affiliation>Department of Food Science and Technology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>1970</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span lang=&quot;EN-GB&quot;&gt;This study examined the viability, physicochemical characteristics, and sensory qualities of kiwifruit juice containing &lt;em&gt;Lacticaseibacillus paracasei&lt;/em&gt; B31-2. To analyze the data, Gaussian Process Regression (GPR) and Multi-Layer Perceptron (MLP) models were used to predict various factors, including pH, acidity, viable cell counts of &lt;em&gt;L. paracasei&lt;/em&gt; B31-2, color differences (ΔE), and overall acceptance. Probiotic &lt;em&gt;L. paracasei&lt;/em&gt; B31-2 was added to the kiwifruit juice at different concentrations (0, 1 and 2%) and stored at 4°C. The probiotic juices showed fewer changes in pH, acidity, and color compared to the control juice during storage at room temperature. The sample with a 2% probiotic concentration exhibited the highest viable cell count (7.98 log CFU mL&lt;sup&gt;-1&lt;/sup&gt;) and received the most sensory scores among the tested samples. A strong correlation between the predictions made by the GPR model and the actual observed data further validated its effectiveness in similar experimental contexts. This suggests that GPR could offer strategic benefits by lowering laboratory costs and improving analytical efficiency. The GPR model&#039;s precision in closely matching real-world data demonstrates its potential as a cost-effective and expedited tool for scientific inquiries. Overall, these findings indicate that kiwifruit juice serves as a promising substrate for carrier of &lt;em&gt;L. paracasei&lt;/em&gt; B31-2.&lt;/span&gt;</Abstract>
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			<Param Name="value">Gaussian Process Regression</Param>
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			<Object Type="keyword">
			<Param Name="value">Microbial load</Param>
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			<Object Type="keyword">
			<Param Name="value">Multi-layer perceptron</Param>
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			<Object Type="keyword">
			<Param Name="value">Sensory analysis</Param>
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<ArchiveCopySource DocType="pdf">https://jast.modares.ac.ir/article_16878_dfe0c74a3f265edd7b90e43990e70b00.pdf</ArchiveCopySource>
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