ReviewProbiotics and antimicrobial proteins2026
Scaling Up Postbiotics Production: A Prospective Review of Processes and Health Benefits.
Review in Probiotics and antimicrobial proteins, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Emerging Trends in Pet Food: Scientific Innovations, Patent Landscapes, and Global Market Development.Animals : an open access journal from MDPI · 2026Review
- Optimization of fermentation medium for advancing postbiotic antibacterial activity.AMB Express · 2026Article
- Exploring the probiotic landscape in understanding postbiotics from indigenous bacteria isolated from the stool samples of a tribal population at Mulluvadi village, Tamil Nadu, India.Frontiers in pharmacology · 2026Article
- Emerging Nonthermal Technologies for the Production of Postbiotics.Comprehensive reviews in food science and food safety · 2025Review
- Synergistic antibacterial effects of postbiotics combined with linezolid and amikacin against nosocomial pathogens.Frontiers in cellular and infection microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Postbiotics are bioactive compounds produced by probiotic bacteria that have taken the spotlight for their significant health benefits. These postbiotics include digestive enzymes, short-chain fatty acids, cell wall components, bacteriocins, exopolysaccharides, and vitamins. Among many health benefits, postbiotics possess immunomodulatory effect; cholesterol regulation; antimicrobial, antioxidant, and anti-inflammatory properties; enhanced gut health; and reduced risk of cardiovascular diseases, although the mechanism of action of these health benefits is yet to be fully understood. Forecast indicates a rising industrial demand for postbiotic production. This review summarizes the tools and techniques employed in optimizing postbiotic production that aid in overcoming those challenges that currently interrupt industrial scale-up. Plackett-Burman design, response surface methodology (RSM), Taguchi method, and central composite design (CCD) are significant tools for optimizing postbiotic production conditions. Molecular techniques including genetic engineering, synthetic biology tools such as CRISPR-Cas9, and metabolic engineering are potential techniques to enhance postbiotic production. Despite these advancements, challenges remain in industrial scale-up (stability, quality, yield, and consistency). Understanding the correlation between high cell density and postbiotic yield is crucial for industrial scale-up and optimized production. However, further in-depth research is in demand for industrial production of postbiotics. This review would benefit researchers exploring the mechanism of action and industrial production of postbiotics.
Indexed as
Identifiers
40622649What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.