Multi functional enzyme-linked immunosorbent assay (ELISA) is a precision detection instrument in laboratories, widely used in fields such as life sciences, medical research, and drug development. The core principle is based on photoelectrochemical measurement, which quantitatively analyzes specific components by detecting the optical or electrical signals generated by the reaction between enzymes and substrates in the sample. When making a purchase, the following key factors should be considered comprehensively:

1、 Detection principle and mode

Multi functional enzyme-linked immunosorbent assay (ELISA) usually supports multiple detection modes such as absorbance, fluorescence intensity, and chemiluminescence. Absorbance detection is suitable for routine biochemical index analysis; Fluorescence detection has higher sensitivity and is suitable for detecting trace substances; Chemiluminescence is used for ultra trace analysis. Select the model that supports the corresponding mode according to the experimental requirements. If multiple signals need to be detected simultaneously, priority should be given to instruments that integrate multi-mode detection functions.

2、 Core performance indicators

Wavelength range: The wider the wavelength range, the stronger the applicability. The model can support full wavelength scanning from 200-1000nm, meeting diverse experimental needs such as nucleic acid and protein quantification.

Sensitivity: The absorbance resolution should reach 0.001Abs, and the chemiluminescence sensitivity should be below 15pM to ensure accurate detection of low concentration samples.

Repeatability: The coefficient of variation (CV) should be less than 1% to ensure data stability.

3、 Function Expansion and Automation

Multi channel detection: The multi-channel optical path design can simultaneously measure multiple wavelengths, reducing the time required for complex experiments.

Automation module: integrates automatic sampler, temperature control oscillation and other functions to reduce manual intervention and improve high-throughput screening efficiency.

Software compatibility: Supports data export to analysis tools such as Excel and GraphPad for easy subsequent processing.

4、 Application scenario matching

Clinical diagnosis: It is necessary to support functions such as ELISA and chemiluminescence immunoassay to detect hormones, tumor markers, etc.

Drug development: Priority should be given to selecting models that support cell proliferation/toxicity detection, fluorescence polarization, and other technologies to meet drug screening needs.

Basic research: Advanced functions such as nucleic acid quantification and time-resolved fluorescence are required to support the study of complex molecular interactions.