Rapid pathogenic microorganism detection method
A technology of pathogenic microorganisms and detection methods, applied in the field of Raman detection, can solve the problems of difficult to meet the urgent needs of rapid detection, complicated and time-consuming operations, difficult to apply to complex samples, etc., to achieve excellent separation and enrichment capabilities, uniform distribution of hot spots, The effect of enhancing the effect is excellent
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Embodiment 1
[0034] 1. Preparation of nano-gold@nitrogen-doped graphene quantum dot nanomaterials
[0035] (1) Synthesis of seed crystals: 50mL 1.0mM HAuCl 4 Add the solution into a 150mL flask; stir vigorously, and after heating to boiling, quickly add 5mL of sodium citrate solution (w / v 1%). When the color of the mixed solution turns wine red, stop the reaction immediately. Finally, the product was filtered through a 0.22 μm nitrocellulose membrane and stored in a refrigerator at 4°C until use. The particle size of the seed crystal is about 15nm.
[0036] (2) Synthesis of nano-gold: Add 48mL deionized water into a 150mL flask, stir vigorously, heat to boiling, then quickly add 2mL 0.1M Tris solution. After continuing to reflux for 5min, 0.5mL HAuCl 4 The solution (w / v of which is 1%) and 0.5 mL of the seed crystal synthesized in step (1) were rapidly injected into the flask. Within 3 minutes, the color of the solution changed from pink to purple to ruby red immediately. After con...
Embodiment 2
[0047] Salmonella mock sample testing
[0048] First, the room temperature milk (3000rpm, 5min) purchased from the supermarket was centrifuged to remove impurities. Then it was treated by diluting 10 times with PBS solution. Add 1,000 and 10,000 CFU / mL Salmonella standard solutions respectively therein, and perform the Salmonella detection shown in Example 2 after thorough mixing. By measuring it at 2227cm -1 According to the working curve obtained in Example 2, it is estimated that the concentration of Salmonella in the simulated sample is 985 and 10224 CFU / mL, and then the recoveries of the two samples are 98.50% and 102.24 %. Therefore, it can be verified that the method has good feasibility and accuracy in the detection of actual samples.
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