ReviewBioresources and bioprocessing2026
Biomachining in manufacturing: mechanisms, processes, applications and future perspectives.
Review in Bioresources and bioprocessing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Biomachining (BM) is an emerging bio-assisted manufacturing approach that uses microbial metabolism and bioelectrochemical reactions to remove material under mild conditions. Due to its low mechanical loading and limited thermal effects, BM has potential in low-damage microfabrication, surface functionalization, microfluidic mold fabrication, abrasive tool dressing, and functional device modification. This review critically summarizes BM with respect to removal mechanisms, process technologies, modeling and optimization strategies, manufacturing applications, and engineering challenges. The biological and electrochemical mechanisms of BM are discussed first, followed by conventional and hybrid BM processes and their comparison with conventional and non-conventional machining technologies. Current applications are reviewed with emphasis on the gap between laboratory demonstrations and scalable industrial implementation. Major challenges include low removal efficiency, limited dimensional accuracy, unstable microbial activity, weak process controllability, contamination risk, waste treatment, and biosafety management. Future development should focus on standardized evaluation, microbial stability control, mechanism-data fusion modeling, hybrid process intensification, and dedicated equipment. Machine learning-assisted prediction, Internet of Things-enabled monitoring, digital twin-based closed-loop control, and sustainability/techno-economic validation are also important for moving BM toward controllable and scalable manufacturing.
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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.