Next-generation probiotics: Innovations in safety assessments

Hua, Ziyan; Liu, Shu; Yang, Guang; Hou, Xiaoyue; Fang, Yaowei

doi:10.1016/j.cofs.2024.101238

Cited by 30Probiotics and Fermented FoodsGut microbiota and healthAgricultural safety and regulations

Next-generation probiotics: Innovations in safety assessments

Hua, Ziyan, Liu, Shu, Yang, Guang, Hou, Xiaoyue, Fang, Yaowei·2025·Current Opinion in Food Science

DOI 10.1016/j.cofs.2024.101238

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AI plays a major role in predictive toxicology, where microbial metabolites and their physiological functions can be predicted using machine learning and potential toxic activity identified before in vivo testing.
“AI plays a major role in the development of predictive toxicology, in which microbial metabolites and their physiological functions can be predicted using a machine learning (ML) model, and potential toxic activity can be identified before in vivo testing [21,156].”
From Current Concepts in Probiotic Safety and Efficacy (2026) · cites this paper as [21]
AI assessment of safety for vulnerable groups analyzes large data and identifies specific risk factors for side effects such as impaired intestinal barrier function or immunocompromised conditions, allowing safer probiotic use.
“The assessment of the degree of safety for vulnerable groups using AI is conducted by analyzing large amounts of data and identifying specific “risk factors” for side effects, such as impaired intestinal barrier function or immunocompromised conditions, which allows for safer use of probiotics [21,156].”
From Current Concepts in Probiotic Safety and Efficacy (2026) · cites this paper as [21]

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Li, X., Ma, J., Shen, G., Liu, R., Wang, Y., 張家竣, Guo, Y., & Hao, X. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1927527
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Jadhav, N. K., Magdum, A. B., Shinde, K. V., & Nimbalkar, M. S. (2026) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.70339 · Cited by 29 · see citing works
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Dahiya, D. K., Renuka, Dangi, A. K., Shandilya, U. K., Puniya, A. K., & Shukla, P. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815249-2.00044-0 · Cited by 17 · see citing works
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An overview of the new generations of probiotics and their future trend in industrial products (drugs, supplements, and foods)
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Authors: Hua, Z., Liu, S., Yang, G., Hou, X., & Fang, Y.
Affiliations: Jiangsu Ocean University (CN)
Corresponding author: Fang, Yaowei
ORCID: Yang, Guang
Hou, Xiaoyue
Fang, Yaowei
Venue: Current Opinion in Food Science
Publisher: Elsevier BV
Published: 2025-02
Volume: 61
Pages: 101238
ISSN: 2214-7993 (ISSN-L)
DOI: 10.1016/j.cofs.2024.101238
OpenAlex: W4404171482
Semantic Scholar: e988870cb51c13edadeabfa8ac247e92eb177b88
Cited by: 29
References: 52
Citations by year: 2026: 15 · 2025: 14
FWCI: 1.08
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Current Opinion in Food Science (publishedVersion)
Topics: Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
Life Sciences › Agricultural and Biological Sciences › Food Science › Agricultural safety and regulations
Keywords: next-generation probiotics, probiotic safety assessment, gut microbiota, multi-omics, synthetic biology, artificial intelligence, machine learning

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