ReviewPharmaceutical science advances2025
Single-walled carbon nanotubes sensors: Preparation and bio-application advances.
Review in Pharmaceutical science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Modification of Single-Walled Carbon Nanotubes with Halogen-Substituted Metal Phthalocyanines for Chemiresistive Ammonia Detection.International journal of molecular sciences · 2026Article
- Quantifying Population Reversibility of Sensor Performance in Multi-Cycle Single-Sensor Recovery Assay.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Advancements in nanobiosensors for early cancer detection, challenges, treatment, and future prospects: a comprehensive review.Discover nano · 2026Review
- Near-Infrared Fluorescent Single-Walled Carbon Nanotubes for Biosensing.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular recognition and detection are the main concerns in the field of biological analysis because they can be affected by various factors. Single-walled carbon nanotube (SWCNTs)-based optical biosensors have been applied in this field owing to their high sensitivity, good fluorescence stability, and tissue transparency. Purification of single-chiral SWCNTs and surface functionalization of SWCNTs are effective strategies for achieving real-time monitoring and high-throughput screening of biological analytes. Combining these technologies with microfluidic platforms and machine learning algorithms further broadens the application areas of sensors and enhances their analytical performance and usefulness in complex biological systems. Therefore, this review first discusses the preparation methods for single-chiral SWCNTs in recent years and introduces covalent and non-covalent functionalization techniques for SWCNTs, including oligonucleotide chains, peptides, and surfactant modifications. Subsequently, we systematically evaluate the applications of functionalized SWCNT biosensors for recognizing small molecules, including gas phase composition, neurotransmitters, and reactive oxygen species. These biosensors have been shown to have high sensitivity and specificity in the detection of a wide range of small molecules, offering a wide range of possibilities for analyzing volatile organic compounds, signaling molecules, and reactive oxygen species within biological systems, and providing new ways of gaining insights into the complex mechanisms of disease progression. Finally, we have analyzed the ability of SWCNT biosensors to recognize biomolecules in various categories, including proteins, nucleic acids, and lipids. Using these sensors for clinical disease diagnosis improves the accuracy and timeliness of diagnosis and opens up new ways to improve patients' prognosis and quality of life. We believe that SWCNT biosensors have great potential for future development in biomedicine.
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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.