ArticleACS nano2017
Sensing by Smell: Nanoparticle-Enzyme Sensors for Rapid and Sensitive Detection of Bacteria with Olfactory Output.
Article in ACS nano, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 63 citations in OpenAlex.
- Rational Design of Controlled Aroma Delivery Systems for Bioactive Applications.Advanced healthcare materials · 2026Review
- DNA-directed electrochemiluminescence nanosphere with electrocatalysis-enhanced microfluidic arrays for rapid multibacterial detection.Science advances · 2025Article
- Volatile organic compounds (VOCs) detection for the identification of bacterial infections in clinical wound samples.Talanta · 2025Review
- Designing with Printed Responsive Biomaterials: A Review.3D printing and additive manufacturing · 2025Article
- Nanotechnology's frontier in combatting infectious and inflammatory diseases: prevention and treatment.Signal transduction and targeted therapy · 2024Review
- A review on machine learning-powered fluorescent and colorimetric sensor arrays for bacteria identification.Mikrochimica acta · 2023Review
- Nanotechnology for Targeted Detection and Removal of Bacteria: Opportunities and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
- A Review on Biosensors and Nanosensors Application in Agroecosystems.Nanoscale research letters · 2021Review
- Rapid Detection and Antimicrobial Susceptibility Testing of Pathogens Using AgNPs-Invertase Complexes and the Personal Glucose Meter.Frontiers in bioengineering and biotechnology · 2021Article
- Development of coinage metal nanoclusters as antimicrobials to combat bacterial infections.Journal of materials chemistry. B · 2020Review
- "Scentsor": A Whole-Cell Yeast Biosensor with an Olfactory Reporter for Low-Cost and Equipment-Free Detection of Pharmaceuticals.ACS sensors · 2020Article
- Protein⁻Polyelectrolyte Interaction: Thermodynamic Analysis Based on the Titration MethodPolymers · 2019Review
- A Comparison of Optical, Electrochemical, Magnetic, and Colorimetric Point-of-Care Biosensors for Infectious Disease Diagnosis.ACS infectious diseases · 2018Review
- Detection and Discrimination of Bacterial Colonies with Mueller Matrix Imaging.Scientific reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
We present here a highly efficient sensor for bacteria that provides an olfactory output, allowing detection without the use of instrumentation and with a modality that does not require visual identification. The sensor platform uses nanoparticles to reversibly complex and inhibits lipase. These complexes are disrupted in the presence of bacteria, restoring enzyme activity and generating scent from odorless pro-fragrance substrate molecules. This system provides rapid (15 min) sensing and very high sensitivity (10
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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.