ReviewWorld journal of microbiology & biotechnology2026
AI-nanotech synergies: recent advances in sustainable bio-manufacturing.
Review in World journal of microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Sustainable nutrition and athlete well-being: associations with psychological and physical performance indicators.Frontiers in nutrition · 2026Article
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
Microbial fermentation plays a crucial role in industrial biotechnology, however, conventional and manual optimization methods often encounter challenges related to scalability and precision. Despite notable progress, a significant limitation in the current literature remains. Most studies address artificial intelligence or nanotechnology applications in isolation, which limits their ability to overcome multifaceted bottlenecks in real-time control and sustainable scale-up of fermentation processes. This review examines the transformative impact of convergence in artificial intelligence (AI) and nanotechnology on fermentation processes. AI tools, including neural networks, genetic algorithms and deep reinforcement learning, are employed to predict microbial behaviour, adjust conditions in real time and boost yields. Meanwhile, nanotechnology offers smart and innovative solutions, such as nano-carriers and sensors, for targeted microbial modulation and enzyme activation. The review underscores latest research done on AI-optimized fermentation and nanoparticle-assisted systems, showing their potential in streamlining high-throughput screening and scaling up production. Although fully integrated AI-nanotech fermentation systems are still in development, current research indicates significant potential across sectors like biofuels, food and pharmaceuticals. Synergistically, these innovations suggest a more intelligent and sustainable future for bio-manufacturing, one that aligns with circular bio-economy objectives and advances key United Nations Sustainable Development Goals.
Indexed as
Identifiers
42250160What Socratic 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 Socratic graph.