ArticleElectrochemistry communications2017
Towards a minimally invasive device for beta-lactam monitoring in humans.
Article in Electrochemistry communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 48 citations in OpenAlex.
- Pharmacokinetics and Customized Dosing of Vancomycin in Adult Patients With Hematological Malignancies: Status, Challenges, and Opportunities.Pharmacology research & perspectives · 2026Review
- Recent progress of NIR light-controlled microneedles and therapeutic applications: A review study.Journal of materials science. Materials in medicine · 2025Review
- Recent Progress of Triboelectric Nanogenerators for Biomedical Sensors: From Design to Application.Biosensors · 2022Review
- Biosensor-Enabled Multiplexed On-Site Therapeutic Drug Monitoring of Antibiotics.Advanced materials (Deerfield Beach, Fla.) · 2022Article
- Closed-loop control of continuous piperacillin delivery: AnFrontiers in bioengineering and biotechnology · 2022Article
- Optimizing antimicrobial use: challenges, advances and opportunities.Nature reviews. Microbiology · 2021Review
- Microneedle-based devices for point-of-care infectious disease diagnostics.Acta pharmaceutica Sinica. B · 2021Review
- Recent Progress in Wearable Biosensors: From Healthcare Monitoring to Sports Analytics.Biosensors · 2020Review
- Aptamer-Based Detection of Ampicillin in Urine Samples.Antibiotics (Basel, Switzerland) · 2020Article
- Engineering Microneedles for Therapy and Diagnosis: A Survey.Micromachines · 2020Review
- Improving Dengue Diagnostics and Management Through Innovative Technology.Current infectious disease reports · 2018Review
- Delivering precision antimicrobial therapy through closed-loop control systems.The Journal of antimicrobial chemotherapy · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
Antimicrobial resistance is a leading patient safety issue. There is a need to develop novel mechanisms for monitoring and subsequently improving the precision of how we use antibiotics. A surface modified microneedle array was developed for monitoring beta-lactam antibiotic levels in human interstitial fluid. The sensor was fabricated by anodically electrodepositing iridium oxide (AEIROF) onto a platinum surface on the microneedle followed by fixation of beta-lactamase enzyme within a hydrogel. Calibration of the sensor was performed to penicillin-G in buffer solution (PBS) and artificial interstitial fluid (ISF). Further calibration of a platinum disc electrode was undertaken using amoxicillin and ceftriaxone. Open-circuit potentials were performed and data analysed using the Hill equation and log(concentration [M]) plots. The microneedle sensor demonstrated high reproducibility between penicillin-G runs in PBS with mean K
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.