ReviewFrontiers in bioengineering and biotechnology2020
State-of-Art Bio-Assay Systems and Electrochemical Approaches for Nanotoxicity Assessment.
Review in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 13 citations in OpenAlex.
- Advances in liver organoids: replicating hepatic complexity for toxicity assessment and disease modeling.Stem cell research & therapy · 2025Review
- The Application of Hybridization Chain Reaction in the Detection of Foodborne Pathogens.Foods (Basel, Switzerland) · 2023Review
- Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare.Biosensors · 2022Review
- Review on oxidative stress relation on COVID-19: Biomolecular and bioanalytical approach.International journal of biological macromolecules · 2021Review
- A Review on Conventional and Advanced Methods for Nanotoxicology Evaluation of Engineered Nanomaterials.Molecules (Basel, Switzerland) · 2021Review
- Organoid Technology: A Reliable Developmental Biology Tool for Organ-Specific Nanotoxicity Evaluation.Frontiers in cell and developmental biology · 2021Review
- Novel Methods and Approaches for Safety Evaluation of Nanoparticle Formulations: A Focus TowardsFrontiers in pharmacology · 2021Review
- Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management.Materials today. Chemistry · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Innovations in the field of nanotechnology, material science and engineering has rendered fruitful utilities in energy, environment and healthcare. Particularly, emergence of surface engineered nanomaterials offered novel varieties in the daily consumables and healthcare products including therapeutics and diagnostics. However, the nanotoxicity and bioactivity of the nanomaterials upon interaction with biological system has raised critical concerns to individual as well as to the environment. Several biological models including plant and animal sources have been identified to study the toxicity of novel nanomaterials, correlating the physio-chemical properties. Biological interaction of nanomaterials and its mediated physiological functions are studied using conventional cell/molecular biological assays to understand the expression levels of genetic information specific to intra/extra cellular enzymes, cell viability, proliferation and function. However, modern research still demands advanced bioassay methods to screen the acute and chronic effects of nanomaterials at the real-time. In this regard, bioelectrochemical techniques, with the recent advancements in the microelectronics, proved to be capable of providing non-invasive measurement of the nanotoxicity effects (
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.