The fully automated Western blotting system is an automated device used for protein detection and analysis, widely applied in fields such as life science research, clinical diagnosis, and drug development. It can automate protein separation, electrophoresis, membrane transfer, blocking, antibody incubation, color development and other steps, improving experimental efficiency and reducing manual operation errors. The following is the technical principle of the system.
1. Protein separation (SDS-PAGE electrophoresis)
Principle: Proteins are separated in an electric field based on their molecular weight. The proteins in the sample are treated with SDS (sodium dodecyl sulfate) to give them a negative charge and denature, losing their original structure and becoming linear molecules. Then, the sample is loaded into the gel. After the electric field is applied, the protein will migrate in the gel according to the molecular size. The smaller proteins migrate faster, and the larger proteins migrate slower.
Automation: In the fully automated protein imprinting system, this process is completed by the automated electrophoresis module, which can automatically add samples, adjust electrophoresis conditions, and terminate experiments at scheduled times.
2. Membrane transfer (protein transfer)
Principle: The protein separated by electrophoresis needs to be transferred to a solid membrane (such as PVDF membrane or nitrocellulose membrane) for subsequent detection. The membrane transfer process usually transfers proteins from the gel to the membrane by means of electric transfer. The efficiency of transfer is closely related to factors such as membrane selection, current, and time.
Automation: The fully automated protein imprinting system will automatically control the membrane transfer voltage and time, and monitor the transfer effect in real-time during the experimental process to ensure complete protein transfer.
3. Closure
Principle: After membrane transfer, in order to avoid non-specific binding, the membrane needs to be sealed. The sealing step usually uses 5% skim milk powder or BSA solution to seal the gaps on the membrane, preventing non-specific binding of antibodies to the membrane.
Automation: The system can automatically add the sealing solution, control the incubation time and temperature, and ensure the uniformity of the sealing process.
4. Antibody incubation
Principle: This step involves using specific antibodies to detect the target protein. Firstly, incubate with primary antibodies targeting the target protein, and then use secondary antibodies that can recognize the primary antibodies and carry detectable labels (such as enzymes or fluorescent groups).
Automation: The fully automated protein imprinting system can automatically add antibody solution, adjust incubation time and temperature, and automatically wash the membrane surface to remove unbound antibodies and reduce background noise.
5. Washing
Principle: After antibody incubation, there are usually some unbound antibody residues on the membrane. The washing step removes these unbound antibodies and impurities through buffer solution to reduce background signals and improve detection specificity.
Automation: The automation system can automatically add detergent and perform multiple washes as needed to ensure the cleanliness of the membrane surface and reduce background interference.
6. Color or fluorescence detection
Principle: After antibody incubation, the detection of target proteins usually relies on the generation of colorimetric or fluorescent signals. Common detection methods include:
Chemiluminescence assay (ECL): Secondary antibodies typically carry enzymes (such as HRP or AP) that react with substrates to release a light signal, which is detected using optical devices.
Fluorescence detection method: If fluorescently labeled antibodies are used, the detection system excites and captures the emitted fluorescence signal through light of a specific wavelength.
Automation: The fully automated protein imprinting system will automatically add chromogenic substrates, control reaction time, and use an integrated imaging system for detection.
7. Data analysis and report generation
Principle: Quantify the color or fluorescence signal through image analysis software to determine the expression level of the target protein. This is usually quantitatively analyzed by comparing the brightness or fluorescence intensity of protein bands in the sample with known concentration standards.
Automation: The built-in data analysis software of the system can automatically process images, generate reports, including protein expression levels, molecular weights of bands, and comparisons between samples.
Technical Features
Fully automated: The fully automated protein imprinting system can automatically complete a series of operations from protein separation, electrophoresis, membrane transfer, blocking, antibody incubation, washing to color development, greatly improving experimental efficiency and reproducibility.
High throughput: Modern automation systems can process multiple samples simultaneously, making them suitable for large-scale experiments.
Precise control: The system can accurately control the time, temperature, reaction conditions, etc. of each experimental step, reducing human operation errors.
Data processing and analysis: The integrated image analysis software can automatically perform quantitative analysis on experimental results, providing more accurate and reproducible data.
Easy to operate: Users only need to set the experimental parameters, and the system will automatically complete the entire experimental process and generate detailed reports, reducing tedious operations.
summary
The fully automated protein imprinting system can greatly improve experimental efficiency and data accuracy by automating various experimental steps. Its core technical principles include protein separation, electrical transfer, antibody incubation, colorimetric or fluorescence detection, etc. Each step is precisely controlled and optimized, suitable for high-throughput, low error protein detection.