Evidence map›Paper›PMID 41516445›Full record

ReviewSensors (Basel, Switzerland)2025

Optical Fiber pH and Dissolved Oxygen Sensors for Bioreactor Monitoring: A Review.

Guoqiang Cui, Rui Wu, Lidan Cao, Sabrina Abedin, Kanika Goel, Seongkyu Yoon, Xingwei Wang

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

7 authors.

Guoqiang CuiDepartment of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Rui WuDepartment of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID 0009-0009-7540-4855
Lidan CaoDepartment of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Sabrina AbedinDepartment of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Kanika GoelDepartment of Biomedical Engineering and Biotechnology, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID 0009-0002-7066-4710
Seongkyu YoonDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID 0000-0002-5330-8784
Xingwei WangDepartment of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID 0000-0002-3436-9266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the bioprocessing industry, real-time monitoring of bioreactors is essential to ensuring product quality and process efficiency. Conventional monitoring methods can satisfy some needs but suffer from calibration drift, limited spatial coverage, and incompatibility with harsh or miniaturized environments. Optical fiber sensors, with their high sensitivity, remote monitoring capability, compact size, and multiplexing, have become a promising technology for in situ bioreactor monitoring. This review summarizes recent progress in optical fiber sensors for key bioreactor parameters, with an emphasis on pH and dissolved oxygen (DO), and briefly covers temperature and pressure monitoring. Different sensing mechanisms, materials, and fiber architectures are compared in terms of sensitivity, response time, stability, and integration strategies in laboratory and industrial-scale bioreactors. Finally, current challenges and future trends are discussed, including multi-parameter sensing, long-term reliability, and the integration of optical fiber sensors with process analytical technology and data-driven control for intelligent bioprocessing.

Indexed as

bioreactor monitoringoptical fiber applicationsoptical fiber sensor

Identifiers

PMID41516445
PMCPMC12787893

What OpenQuestion holds

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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.