ReviewGenes2018
Blueprints for Biosensors: Design, Limitations, and Applications.
Review in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed.
- Synthetic Microbial Community Biosensors: From Engineered Ecosystems to Modular Detection Platforms with AI-Driven Intelligence.Biosensors · 2026Review
- Genetically encoded biosensors enabled high-throughput screening of microbial cell factories.Engineering microbiology · 2026Review
- Enhancing propagation and purification efficiency of M13 bacteriophage for improved phage display applications.Biology methods & protocols · 2026Article
- Establishing a Malonyl-CoA Biosensor for the Two Model CyanobacteriaACS synthetic biology · 2025Article
- Improving engineered biological systems with electronics and microfluidics.Nature biotechnology · 2025Review
- Advances in Detection Technologies for Pesticide Residues and Heavy Metals in Rice: A Comprehensive Review of Spectroscopy, Chromatography, and Biosensors.Foods (Basel, Switzerland) · 2025Review
- Computation-guided transcription factor biosensor specificity engineering for adipic acid detection.Computational and structural biotechnology journal · 2024Article
- Fabrication of cyborg bacterial cells as living cell-material hybrids using intracellular hydrogelation.Nature protocols · 2024Review
- Disentangling the Regulatory Response ofACS synthetic biology · 2024Article
- Diagnostics of Tuberculosis with Single-Walled Carbon Nanotube-Based Field-Effect Transistors.ACS sensors · 2024Article
- Have you tried turning it off and on again? Oscillating selection to enhance fitness-landscape traversal in adaptive laboratory evolution experiments.Metabolic engineering communications · 2023Review
- Multicomponent synthesis of pyrido[2,3-RSC advances · 2023Article
- AraC-Based Biosensor for the Detection of Isoprene inACS omega · 2023Article
- Genetically Encoded Detection of Biosynthetic Protease Inhibitors.ACS synthetic biology · 2023Article
- A concise overview of advancements in ultrasensitive biosensor development.Frontiers in bioengineering and biotechnology · 2023Review
- Electrochemical biosensors in healthcare services: bibliometric analysis and recent developments.PeerJ · 2023Review
- Transcription factor-based biosensors for screening and dynamic regulation.Frontiers in bioengineering and biotechnology · 2023Review
- Article
- Screening microbially produced ΔNature communications · 2022Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biosensors are enabling major advances in the field of analytics that are both facilitating and being facilitated by advances in synthetic biology. The ability of biosensors to rapidly and specifically detect a wide range of molecules makes them highly relevant to a range of industrial, medical, ecological, and scientific applications. Approaches to biosensor design are as diverse as their applications, with major biosensor classes including nucleic acids, proteins, and transcription factors. Each of these biosensor types has advantages and limitations based on the intended application, and the parameters that are required for optimal performance. Specifically, the choice of biosensor design must consider factors such as the ligand specificity, sensitivity, dynamic range, functional range, mode of output, time of activation, ease of use, and ease of engineering. This review discusses the rationale for designing the major classes of biosensor in the context of their limitations and assesses their suitability to different areas of biotechnological application.
Indexed as
Identifiers
What 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.