Active Ingredient Screening

Active ingredient screening is the systematic evaluation of chemical or biological substances to identify compounds that produce a desired biological effect, making it an important step in drug discovery and biological research. In controlled assays, candidate substances are exposed to cells, enzymes, microorganisms, or molecular targets, and measurable responses are compared with untreated and reference controls across relevant concentrations to establish activity and selectivity. Screening can reveal dose-response relationships, prioritize promising candidates, and identify compounds for further validation, toxicity testing, and mechanism studies. In biology, these approaches support research on signaling pathways, disease processes, antimicrobial activity, and the development of new therapeutic or research tools.

Active Ingredient Screening - Related Videos

Research

JoVE Journal - Biology

High Throughput Screening of Fungal Endoglucanase Activity in Escherichia coli

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Cited by 7 •

2011

We describe a low cost, high throughput method to screen for fungal endoglucanase activity in E. coli. The method relies on a simple visual readout of substrate degradation, does not require enzyme purification, and is highly scalable. This allows for the rapid screening of large libraries of enzyme variants.

Estrogen Receptor-Reporter Activity Assay to Screen Phytoestrogen Estrogenic Activity

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2025

This video describes a cell-based reporter assay to determine the estrogenic activity of plant-derived compounds. A compound with estrogen-like activity mimics its binding to estrogen receptors and drives downstream reporter enzyme gene transcription. The reporter enzyme generates bioluminescence in a reaction, indicating the estrogenic activity of the compound.

A High Throughput Screen for Biomining Cellulase Activity from Metagenomic Libraries

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Cited by 24 •

2011

This protocol describes a high throughput screen for cellulolytic activity from a metagenomic library expressed in Escherichia coli. The screen is solution based and highly automated, and uses one-pot chemistry in 384 well microplates with the final readout as an absorbance measurement.

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

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Cited by 1 •

2016

We present here a protocol to construct and validate models for nondestructive prediction of total sugar, total organic acid, and total anthocyanin content in individual blueberries by near-infrared spectroscopy.

alamarBlue Assay: A Sensitive Fluorometric Method to Screen the Cytotoxic Effects of Artificial Tear Formulations on Metabolic Activity of Human Corneal Epithelial Cells

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2025

This video describes an in vitro fluorometric assay to assess the effects of artificial tear formulations on the cellular metabolic activity of corneal epithelial cells using resazurin-based Alamar blue solution. A non-toxic formulation maintains the cells in a healthy, metabolically active state, facilitating the reduction of resazurin into a highly fluorescent resorufin.

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