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Probiotic Formulations: A Patent Landscaping Using the Text Mining Approach

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Abstract

The outstanding research outcomes and registrations of myriads of probiotic strains have flooded the health market with various innovative probiotic-based products and their patents. The study of patented formulations of probiotics can give an overall insight into its existing application. A landscaping review of patents for probiotic-based preparations is presented in the current work. The patent search was performed over commercially available patent databased and analysis tool—PatSeer Pro®. Search strings containing words "Formulation" and "Composition" resulted in more than 3700 patents. Landscaping review of 400 + patents from the last 20 years (2000–2020) was performed using the Text-Mining approach. Text-Mining helped to identify 19 technological clusters which represent these patents. These clusters include the patents of probiotic preparations on animal feed, human food, cosmetics, antimicrobial, antidiabetic, arthritis, etc. A review of this massive number of patents unveiled many exciting preparations. Probiotic-based innovative products for depression, diabetes, Parkinson's, tumor, acne, and animal husbandry are reviewed comprehensively. The present work also unravels a few new-flanged products like probiotic layered condoms, products for acute alcoholism, and traditional Chinese medicine with probiotics. The patent landscape of probiotic-based preparations has presented a whole scenario of probiotic-based preparations. It has also revealed many unexplored areas where innovation can be excelled.

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Acknowledgements

Authors are grateful to CHARUSAT IPR Cell for providing training and access to PatSeer®—Patent Search and Analysis Tool.

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SKP: Conceptualization of studies of patents on probiotic formulations. Investigation: Detailed study of each patent on probiotic formulations was performed. Original draft was also prepared. MSP: Text-Mining methodology for handling huge data on probiotics patents is developed. Hierarchical Cluster Analysis was performed. ADP: Overall supervision of work and suggestions on topic inclusions were provided. UHS: Fine visualizations were prepared for the review article. MMP: Review and editing of article for significant errors and corrections. NDS: Validation of facts and finding from the selected patents was performed. MJP: Formal Analysis: Statistical analysis of data is performed.

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Correspondence to Swayamprakash Patel.

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Patel, S., Patel, M.S., Patel, A.D. et al. Probiotic Formulations: A Patent Landscaping Using the Text Mining Approach. Curr Microbiol 79, 152 (2022). https://doi.org/10.1007/s00284-022-02836-2

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