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Biological Assay

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Allium cepa root tip assay in assessment of toxicity of magnesium oxide nanoparticles and microparticles.

Journal of environmental sciences (China)
Allium cepa bioassay had been used from decades for the assessment of toxicants and their harmful effects on environment as well as human health. Magnesium oxide (MgO) particles are being utilized in different fields. However, reports on the adverse ...

Aptamer based fluorometric β-lactoglobulin assay based on the use of magnetic nanoparticles and carbon dots.

Mikrochimica acta
The authors describe a fluorometric aptamer based assay for detecting β-lactoglobulin by using carbon dots (C-dots) as a signal indicator. The aptamer was immoblized on magnetite (FeO) nanoparticles (MNPs), and the C-dots served as a label for the co...

[Tetrodotoxin (TTX) Monitoring of Biological Specimens and Toxin Profile in a Food Poisoning Case Caused by the Scavenging Gastropod Nassarius (Alectrion) glans "Kinshibai"].

Shokuhin eiseigaku zasshi. Journal of the Food Hygienic Society of Japan
In November 2015, a patient presented with symptoms of toxicity after eating whole boiled samples of the scavenging gastropod Nassarius (Alectrion) glans "Kinshibai" in Nagasaki. This food poisoning case was the third recorded in Japan. The case was ...

Rapid determination of ultra-trace plutonium isotopes (Pu, Pu and Pu) in small-volume human urine bioassay using sector-field inductively coupled plasma mass spectrometry.

Analytica chimica acta
A rapid method with enhanced U decontamination was developed for ultra-trace Pu analysis in small-volume urine bioassays. This method consists of acid digestion, co-precipitation, extraction chromatography and sector-field inductively coupled plasma ...

A versatile and low-cost open source pipetting robot for automation of toxicological and ecotoxicological bioassays.

PloS one
In the past decades, bioassays and whole-organism bioassay have become important tools not only in compliance testing of industrial chemicals and plant protection products, but also in the monitoring of environmental quality. With few exceptions, suc...

Prediction of skin sensitization potency using machine learning approaches.

Journal of applied toxicology : JAT
The replacement of animal use in testing for regulatory classification of skin sensitizers is a priority for US federal agencies that use data from such testing. Machine learning models that classify substances as sensitizers or non-sensitizers witho...

Multi-Assay-Based Compound Prioritization via Assistance Utilization: A Machine Learning Framework.

Journal of chemical information and modeling
Effective prioritization of chemical compounds that show promising bioactivities from compound screenings represents a first critical step toward identifying successful drug candidates. Current development on computational approaches for compound pri...

Classification and analysis of a large collection of in vivo bioassay descriptions.

PLoS computational biology
Testing potential drug treatments in animal disease models is a decisive step of all preclinical drug discovery programs. Yet, despite the importance of such experiments for translational medicine, there have been relatively few efforts to comprehens...

Combining machine learning models of in vitro and in vivo bioassays improves rat carcinogenicity prediction.

Regulatory toxicology and pharmacology : RTP
In vitro genotoxicity bioassays are cost-efficient methods of assessing potential carcinogens. However, many genotoxicity bioassays are inappropriate for detecting chemicals eliciting non-genotoxic mechanisms, such as tumour promotion, this necessita...

Prediction analysis and quality assessment of microwell array images.

Electrophoresis
Microwell arrays are widely used for the analysis of fluorescent-labelled biomaterials. For rapid detection and automated analysis of microwell arrays, the computational image analysis is required. Support Vector Machines (SVM) can be used for this t...