ReviewNanomedicine (London, England)2014
Array-based sensing using nanoparticles: an alternative approach for cancer diagnostics.
Review in Nanomedicine (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Aptamers used for biosensors and targeted therapy.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2020Pooled it
- Machine Learning-Assisted DNA Origami Shape Sorting Using Fingerprinting Nanosensors and Feature Engineering.Analytical chemistry · 2026Article
- Nanotechnology improves the detection of bacteria: Recent advances and future perspectives.Heliyon · 2024Review
- Protein Corona Sensor Array Nanosystem for Detection of Coronary Artery Disease.Small (Weinheim an der Bergstrasse, Germany) · 2024Article
- Fluorescent Materials With Aggregation-Induced Emission Characteristics for Array-Based Sensing Assay.Frontiers in chemistry · 2020Review
- Simple and robust polymer-based sensor for rapid cancer detection using serum.Chemical communications (Cambridge, England) · 2019Article
- Array-based "Chemical Nose" Sensing in Diagnostics and Drug Discovery.Angewandte Chemie (International ed. in English) · 2019Review
- Array-Based Protein Sensing Using an Aggregation-Induced Emission (AIE) Light-Up Probe.ACS omega · 2018Article
- Colorimetric Fingerprints of Gold Nanorods for Discriminating Catecholamine Neurotransmitters in Urine Samples.Scientific reports · 2017Article
- Nanoscale "fluorescent stone": Luminescent Calcium Fluoride Nanoparticles as Theranostic Platforms.Theranostics · 2016Review
- Cell surface-based sensing with metallic nanoparticles.Chemical Society reviews · 2015Review
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 at 1 institution in 1 country.
Funding
Abstract
Array-based sensing using nanoparticles (NPs) provides an attractive alternative to specific biomarker-focused strategies for cancer diagnosis. The physical and chemical properties of NPs provide both the recognition and transduction capabilities required for biosensing. Array-based sensors utilize a combined response from the interactions between sensors and analytes to generate a distinct pattern (fingerprint) for each analyte. These interactions can be the result of either the combination of multiple specific biomarker recognition (specific binding) or multiple selective binding responses, known as chemical nose sensing. The versatility of the latter array-based sensing using NPs can facilitate the development of new personalized diagnostic methodologies in cancer diagnostics, a necessary evolution in the current healthcare system to better provide personalized treatments. This review will describe the basic principle of array-based sensors, along with providing examples of both invasive and noninvasive samples used in cancer diagnosis.
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.