Rapid pathogenic microorganism detection method
A technology of pathogenic microorganisms and detection methods, which is applied in the field of unlabeled SERS detection of pathogenic microorganisms, can solve problems such as complex processes, and achieve the effects of simple operation, excellent enrichment performance, and avoiding the decline in recognition ability
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Embodiment 1
[0025] Taking Staphylococcus aureus as an example, a construction process for rapid detection of Staphylococcus aureus is provided.
[0026] 1. Preparation of magnetic bead-aptamer-Staphylococcus aureus@Ag composite structure
[0027] (1) Denaturation of aptamers:
[0028] The selected Staphylococcus aureus aptamer sequence is: 5'-Biotin-(CH 2 ) 6 - TCCCT ACGGC GCTAACCTCC CAACC GCTCC ACCCT GCCTC CGCCT CGCCA CCGTG CTACA AC-3'.
[0029] The above-mentioned aptamers were dispersed in PB solution (0.01M, pH7.4), then heated at 95°C for 2min, allowed to cool naturally, and finally stored in a refrigerator at -20°C.
[0030] (2) Synthesis of magnetic bead-aptamer-Staphylococcus aureus composite structure
[0031] 1mL Staphylococcus aureus (10 7 CFU / mL, prepared by PB (0.01M, pH7.4), add 500nM aptamer solution, mix well, and incubate at 4°C for 20min; then, add 10μL streptavidin functionalized magnetic beads (30mg / mL , particle size about 50nm), and incubated with shaking at ro...
Embodiment 2
[0038] Testing of Staphylococcus aureus mock samples
[0039] First, the room temperature milk (3000rpm, 5min) purchased from the supermarket was centrifuged to remove impurities. Then it was diluted 10 times with PB solution for treatment. Add 1,000 and 10,000 CFU / mL Staphylococcus aureus standard solutions therein, mix well, and perform the Staphylococcus aureus detection shown in Example 1. By measuring it at 735cm -1 According to the working curve obtained in Example 1, it is calculated that the concentration of Staphylococcus aureus in the simulated sample is 968.2 and 10121 CFU / mL, and then the recoveries of the two samples are respectively 96.82 % and 101.21%. Therefore, it can be verified that the method has good feasibility and accuracy in the detection of actual samples.
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