Evidence map›Paper›PMID 42864568›Full record

ReviewBioresources and bioprocessing2026

Biomachining in manufacturing: mechanisms, processes, applications and future perspectives.

Jingyu Song, Hui Huang, Weibin Shi

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jingyu SongInstitute of Manufacturing Engineering, Huaqiao University, No. 668 Jimei Avenue, Jimei District, Xiamen, 361021, Fujian Province, China.
Hui HuangInstitute of Manufacturing Engineering, Huaqiao University, No. 668 Jimei Avenue, Jimei District, Xiamen, 361021, Fujian Province, China. huanghuihh@hotmail.com.
Weibin ShiCollege of Mechanical Engineering and Automation, Huaqiao University, No. 668 Jimei Avenue, Jimei District, Xiamen, 361021, Fujian Province, China.

Funding

Fundamental Research Funds for the Central Universities ZQN-1105National Natural Science Foundation of China 52275427Natural Science Foundation of Xiamen 3502Z202671032Programme of Introducing Talents of Discipline to Universities B23011
6 · The paper itself

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.

Indexed as

Bioelectrochemical dissolutionBiomachiningHybrid biomachiningMaterial removal mechanismsMicrofabricationProcess optimization

Identifiers

PMID42864568
PMCPMC13658698

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.