Beneficial Effects of Psychobiotic Bacteria, Cyanobacteria, Algae, and Modified Yeast in Various Food Industries

Gupta, A.; Mani, Indra

doi:10.1007/978-981-16-8125-7_8

Cited by 3 publications

(3 citation statements)

References 72 publications

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“…When examining the impact factors and citation numbers of these journals, it is apparent that they are quite prestigious, reflecting the broad interdisciplinary appeal and accessibility of psychobiotics research. [25][26][27] An exploration of the keywords across the 789 identified terms allows for the tracing of psychobiotics' conceptual flow within the wider scientific dialogue (Fig. 6).…”

Section: Discussionmentioning

confidence: 99%

“…Among a total of 789 keywords, the most frequently used ones are, in order, "psychobiotics" (128), "probiotics" (100), "gut-brain axis" (67), "depression" (67), "gut microbiota" (56), "microbiota" (51), "probiotic" (33), "psychobitoic" (33), "anxiety" (32), and "stress" (27). The density visualization map and cluster density visualization map for keywords used at least 5 times are presented in Figure 5.…”

Section: Introductionmentioning

confidence: 99%

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Bibliometric analysis of scientific outputs on psychobiotics: Strengthening the food and mood connection

Kaya,

Erdoğan Kaya,

Eskin

2024

Medicine

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The role of human microbiota in mental health and the underlying mechanisms of psychobiotics, which can modulate mood and behavior through the microbiota–gut–brain axis, has been a focus of scientific scrutiny. This work presents a bibliometric analysis to uncover research trends and insights in psychobiotics literature. The Clarivate Analytics Web of Science database served as the source for articles and reviews on psychobiotics spanning the years 2012 to 2023. Bibliometric network visualization and graphing were conducted using VOSviewer, Microsoft Excel for Windows 10, and Datawrapper software. A total of 348 publications were included, and it has been determined that the number of publications and citations shows an increasing trend from 2012 to 2023. The most active authors on psychobiotics, in order, were Dinan TG, Cryan JF, and Tsai YC. The most active organizations have been identified as University College Cork, National Yang Ming Chiao Tung University, and Bened Biomedical Co. Ltd. The most active countries in psychobiotic research were China, Ireland, and United States of America, while the most active journals were Nutrients, International Journal of Molecular Sciences, and Probiotics and Antimicrobial Proteins. The most commonly used keywords were “psychobiotics,” “probiotics,” and “gut–brain axis.” This bibliometric analysis has revealed the growing academic interest in psychobiotics, indicating that the relationship between gut microbiota and mental health will increasingly be supported by scientific evidence in the years ahead.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bibliometric analysis of scientific outputs on psychobiotics: Strengthening the food and mood connection

Kaya,

Erdoğan Kaya,

Eskin

2024

Medicine

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“…For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/ of cells. The two major types of algae based on cellularity are microalgae and macro-algae, where microalgae are small and unicellular algae species that live either singly or in colonies and they need a microscope to be seen, while the macro-algae are large and multicellular species of algae that can be seen without the aid of a microscope and are visible to the naked eye, they are commonly named seaweeds [2]. Both types of algae are important contributors to atmospheric oxygen, and they are considered a food source for many aquatic habitats and potential sources of biofuel production.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review of Deep Learning Microalgae Classification and Detection

et al. 2023

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Algae represent the majority of the diversity on Earth and are a large group of organisms that have photosynthetic properties that are important to life. The species of algae are estimated to be more than 1 million, they play an important role in many fields such as agriculture, industry, food, and medicine. It is important to determine the type of algae, to determine if it is harmful or useful, and to indicate the health of the ecosystem, water quality, health, and safety risks. The conventional process of classifying algae is difficult, tedious, and time-consuming. Recently various computer vision techniques have been used to classify algae to overcome challenges and automate the process of classification. This paper presents a review of research done on image classification for microorganism algae using machine learning and deep learning techniques. The paper focuses on three important research questions to highlight the challenges of classifying microalgae. A systematic literature review or SLR has been conducted to determine how deep learning and machine learning have improved and enhanced automatic microalgae classification rather than manual classification. 51 articles have been included from well-known databases. The outcome of this SLR is beneficial due to the detailed analysis and comprehensive overview of the algorithms and the architectures and information about the dataset used in each included article. The future work focuses on getting a large dataset with high resolution, trying different methods to manage imbalance problems, and giving more attention to the fusion of deep learning techniques and traditional machine learning techniques.

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Fermentation of algal biomass for its nutritional value: perspectives and revolutions in the food industry

Ahirwar,

Rai,

Sirotiya

et al. 2023

Environmental Technology Reviews

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Beneficial Effects of Psychobiotic Bacteria, Cyanobacteria, Algae, and Modified Yeast in Various Food Industries

Cited by 3 publications

References 72 publications

Bibliometric analysis of scientific outputs on psychobiotics: Strengthening the food and mood connection

Bibliometric analysis of scientific outputs on psychobiotics: Strengthening the food and mood connection

A Systematic Review of Deep Learning Microalgae Classification and Detection

Fermentation of algal biomass for its nutritional value: perspectives and revolutions in the food industry

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