Low-density lipoprotein cholesterol quantitative determining method reagent and reagent kit
A low-density lipoprotein, quantitative determination technology, applied in the field of quantitative determination of low-density lipoprotein cholesterol, can solve the problem of high price
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Embodiment 1
[0037] One, prepare following reagent I and reagent II of the present invention according to following composition and ratio:
[0038] Reagent I:
[0039] MOPS buffer, pH7.0 30mM
[0040] 4-Aminoantipyridine 0.1g / L
[0041] Cholesterol esterase (CEH) 1520u / L
[0042] Cholesterol oxidase (COD) 1070u / L
[0043]Peroxidase (POD) 8000u / L
[0044] Agricultural Emulsion No. 601 5g / L
[0045] NaN 3 1g / L
[0046] Reagent II:
[0047] MOPS buffer, pH7.0 30mM
[0048] Color developer TOOS 0.2g / L
[0049] NaN 3 1g / L
[0050] TRITON X-100 20g / L
[0051] 2. Mix 300 μl reagent I and 3 μl serum sample in the sample tube, incubate at 37°C for 5 minutes, use HITACHI7060 automatic biochemical analyzer, measure the absorbance A at the main wavelength of 600nm and the secondary wavelength of 700nm 1 , then add 100 μl reagent II to the sample, mix well, incubate at 37°C for 5 minutes, measure the absorbance A at the same wavelength 2 . Use the same m...
Embodiment 2
[0065] Using the reagent of Example 1 of the present invention, the LDL-C content in 11 healthy human serum samples was determined under the conditions described in Example 1. For the same sample, a commercially available precipitation method kit (low-density lipoprotein cholesterol (LDL-C) polyethylene sulfate precipitation method kit, batch number: Zhongsheng 210181, produced by Zhongsheng Beikong Biotechnology Co., Ltd.) was used for comparison Quantitative determination. The results are shown in Table 2 below.
[0066] Table 2
[0067]
[0068]
[0069] The accuracy of this method is measured by the correlation experiment with the precipitation method (reference method). The correlation coefficient r indicates the degree of correlation between the two sets of values, and the closer r is to 1, the better the correlation between the two sets of data. It is generally considered that the correlation is good when r is greater than 0.9. The correlation coefficient r=0....
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