CN113740539A - Kit for determining specific growth factor - Google Patents

Kit for determining specific growth factor Download PDF

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CN113740539A
CN113740539A CN202110917705.XA CN202110917705A CN113740539A CN 113740539 A CN113740539 A CN 113740539A CN 202110917705 A CN202110917705 A CN 202110917705A CN 113740539 A CN113740539 A CN 113740539A
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kit
reagent
surfactant
triton
buffer solution
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马腾飞
杨焜诚
刘霖
芮海涛
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Chongqing Zhongyuan Huiji Biotechnology Co Ltd
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    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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Abstract

The invention discloses a kit for determining a specific growth factor, which comprises a reagent R1 and a reagent R2, wherein the reagent R1 comprises a buffer solution, a surfactant 1, a surfactant 2, an inorganic salt and an organic solvent, and the reagent R2 comprises a buffer solution, a color developing agent and a preservative. According to the method, a certain amount of organic solvent (DMSO) is added into the detection reagent, so that the positive progress of the ninhydrin color reaction can be effectively promoted, and the color reaction is close to complete reaction. Meanwhile, the problem of sample precipitation after the organic solvent is added is solved by adding the composition of the surfactant and the salt. The improvement measures are matched with the reaction system of the invention, so that the detection performance of the kit is effectively improved, including precision and the quantifiability of the kit to the object to be detected in a linear range.

Description

Kit for determining specific growth factor
Technical Field
The invention relates to the field of medical inspection, in particular to a kit for determining a specific growth factor.
Background
Specific Growth Factor (SGF) is a special substance including saccharides, amino acids and metabolites thereof, which has a property that when a tumor is produced, the content of the Specific growth factor in blood is increased, which can stimulate the angiogenesis of malignant tumor, and after the angiogenesis, can provide sufficient nutrition for tumor tissue, thereby promoting the rapid growth of the tumor. The specific growth factor can be obviously increased in the early stage of the tumor, and the content of the specific growth factor in serum is clinically determined to be used as an effective reference basis for early detection of the tumor, change of the disease condition of a patient and postoperative monitoring.
Currently known SGF detection means include enzyme-linked immunosorbent assay (ELISA) and common chemical methods, wherein the enzyme-linked immunosorbent assay is complex in operation, long in reaction time and poor in detection repeatability, so that the SGF detection method is not favorable for being widely applied clinically. The common chemical method utilizes the mixed solution in the reagent kit to carry out superposition coupling reaction with specific growth factors (substances such as glycolipid with specific amino group, glycoprotein metabolite, free alpha-amino acid and the like) in a sample to be detected at 37 ℃, the reaction product and a color developing agent in the reagent kit carry out color development reaction under the same reaction condition to form a blue product, the absorbance value of the color developing product is measured at the position of 570m of wavelength, and the content of the specific growth factors in the sample to be detected is converted through a standard concentration curve and a formula. As the color development reaction of the color development agent ninhydrin in the reagent is a reversible reaction and is incomplete, the detection reagent used clinically at present generally has the problem of poor quantifiability and further poor linearity.
Disclosure of Invention
The inventors have unexpectedly found that the forward progress of the ninhydrin color reaction can be effectively promoted by adding a certain amount of organic solvent (DMSO) to the detection reagent, so that the color reaction approaches a complete reaction. Meanwhile, the problem of sample precipitation after the organic solvent is added is solved by adding the composition of the surfactant and the salt. The improvement measures are matched with the reaction system of the invention, so that the detection performance of the kit is effectively improved, including precision and the quantifiability of the kit to the object to be detected in a linear range.
In order to achieve the purpose, the invention adopts the following technical means: a kit for determining a specific growth factor, comprising a reagent R1 and a reagent R2, wherein: the reagent R1 comprises a buffer solution, a surfactant 1, an inorganic salt and an organic solvent.
Preferably, the reagent R2 comprises a buffer solution, a color developing agent and a preservative.
Preferably, the organic solvent is selected from at least one of DMSO, DMF or methanol, preferably DMSO.
Preferably, the content of the organic solvent is 200-600g/L, preferably 400-600 g/L.
Preferably, the reagent R1 also comprises a surfactant 2; the reagent R2 comprises a buffer solution, a color developing agent and a preservative.
Preferably, the surfactant 1 and the surfactant 2 are selected from two of Triton X-100, Triton X-305, Emulgen LS-114, Emulgen 709, Tween-20 or Tween-80, preferably combinations of Triton X-100 and Emulgen LS-114, Triton X-305 and Emulgen LS-114 or Triton X-305 and Tween-20; the content of the surfactant 1 is 5-20g/L, and the content of the surfactant 2 is 0.1-1 g/L.
Preferably, the buffer solution in the reagent R1 is selected from at least one of 4-hydroxyethyl piperazine ethanesulfonic acid, Tris buffer solution or GOOD' S buffer solution, and the inorganic salt is selected from at least one of sodium chloride or potassium chloride; the buffer solution in the reagent R2 is at least one selected from phosphate buffer solution, GOOD' S buffer solution or succinic acid buffer solution, the color developing agent is ninhydrin, and the preservative is at least one selected from sodium azide or Proclin 300; the content of the buffer solution in the reagent R1 is 50-150mM, and the content of the inorganic salt is 1-5 g/L; the content of the buffer solution in the reagent R2 is 30-50mM, the content of the color developing agent is 10-100mM, and the content of the preservative is 0.1-1 g/L.
A composition effective for enhancing the detection of a biochemical reagent, the composition comprising: organic solvent, surfactant 1, surfactant 2, and inorganic salt.
Preferably, the organic solvent is selected from at least one of DMSO, DMF or methanol, preferably DMSO; the surfactant 1 and the surfactant 2 are selected from two of Triton X-100, Triton X-305, Emulgen LS-114, Emulgen 709, Tween-20 or Tween-80, preferably combinations of Triton X-100 and Emulgen LS-114, Triton X-305 and Emulgen LS-114 or Triton X-305 and Tween-20; the inorganic salt is selected from at least one of sodium chloride or potassium chloride.
Preferably, the reagent is a kit for detecting specific growth factors.
The invention has the beneficial effects that: according to the invention, a certain amount of organic solvent (DMSO) is added into the detection reagent R1, so that the positive progress of the ninhydrin color reaction is effectively promoted, the color reaction is close to complete reaction, and the quantifiability of the detection reagent to the substance to be detected in a linear range is remarkably improved. Meanwhile, the problems of sample precipitation and detection precision reduction are brought along with the addition of the organic solvent, and further, the problems of subsequent sample precipitation and precision reduction caused by the addition of the organic solvent are solved by adding the composition of the surfactant and the salt into the reagent R1, so that the detection performance of the kit is effectively improved.
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FIG. 1 is a graph showing a linear relationship between theoretical concentration and detection value of group A kit samples in example 3 of the present invention;
FIG. 2 is a graph showing a linear relationship between theoretical concentration and detection value of group B kit samples in example 3 of the present invention;
FIG. 3 is a linear relationship graph of theoretical concentration and detection value of group C kit samples in example 3 of the present invention;
FIG. 4 is a graph showing a linear relationship between theoretical concentrations and detection values of group A kit samples in example 4 of the present invention;
FIG. 5 is a graph showing the linear relationship between the theoretical concentration and the detection value of the group B kit sample in example 4 of the present invention;
FIG. 6 is a graph showing the linear relationship between the theoretical concentration and the detection value of the group C kit sample in example 4 of the present invention;
FIG. 7 is a graph showing the linear relationship between the theoretical concentration and the detection value of the group D kit sample in example 4 of the present invention;
FIG. 8 is a graph showing the linear relationship between the theoretical concentration and the detection value of the group E kit sample in example 4 of the present invention;
FIG. 9 is a graph showing the linear relationship between the theoretical concentration and the detection value of the group F kit sample in example 4 of the present invention;
FIG. 10 is a graph showing the linear relationship between the theoretical concentration and the detection value of the group G kit sample in example 4 of the present invention;
FIG. 11 is a graph showing a linear relationship between theoretical concentrations and detection values of group H kit samples in example 4 of the present invention;
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
The following examples are included to more clearly and clearly illustrate the technical solutions of the present invention by way of illustration. Those of skill in the art should, in light of the present disclosure, appreciate that many changes can be made in the specific embodiments which are disclosed and still obtain a like or similar result without departing from the spirit and scope of the invention. The specific embodiments of the present invention are merely illustrative of the invention and are not intended to limit the invention in any way.
Example 1 preparation of TSGF assay kit
The Specific Growth Factor (TSGF) detection kit comprises a reagent R1 and a reagent R2 double liquid components which are independent of each other.
1. Preparation of reagent R1
The preparation is carried out according to the following formula, fully stirred and uniformly mixed, and stored at 2-8 ℃.
Figure BDA0003205930420000041
2. Preparation of reagent R2
The preparation is carried out according to the following formula, fully stirred and uniformly mixed, and stored at 2-8 ℃.
Figure BDA0003205930420000042
Example 2 method of Using the kit
In this example, a fully automatic biochemical analyzer (Hitachi 7180) was used in combination with the kit of the present invention to perform sample detection.
(1) Instrument parameter setting
Figure BDA0003205930420000043
(2) Assay protocol
Figure BDA0003205930420000044
Figure BDA0003205930420000051
(3) Computing method
And (3) using a two-point linear calibration mode, taking a linear function as a calculation mode, and making a dose/response curve according to the value of the calibrator and the absorbance change value, wherein the content of the specific growth factor in the sample can be calculated on the dose/response curve according to the absorbance change value.
The detection principle of the invention is as follows: the mixed solution in the kit is subjected to superposition coupling reaction with specific growth factors (substances such as glycolipids with specific amino groups, glycoprotein metabolites, free alpha-amino acids and the like) in a sample to be detected at 37 ℃, the reaction products are subjected to chromogenic reaction with a chromogenic agent in the kit under the same reaction condition to form blue products, the absorbance value of the chromogenic products is measured at the wavelength of 570nm, and the content of the specific growth factors in the sample to be detected is converted through a standard concentration curve and a formula (the TSGF clinical concentration is 100-0.18TSGF equivalent concentration).
EXAMPLE 3 Performance testing of the kits
In order to verify all performances of the kit, 3 groups of kits are arranged for performance verification:
group A: the kit prepared in the invention example 1;
group B: specific growth factor determination kit (chemical method) (Beijing nine strong);
group C: the kit is obtained according to the method described in patent CN104515768B specification example 1.
The kit of group C was prepared using the reagents available in the laboratory (i.e., the same components were used in group A and group C, e.g., the developer ninhydrin was from the same manufacturer and lot) wherein the kit of group A was tested according to the method of use described in example 2, group B was tested according to the instructions, and group C was tested according to the method of use described in the examples.
(1) Accuracy verification
And (3) respectively carrying out accuracy test on the clinical assigned samples by using three groups of kits, setting 2 times of the tests, reading signals by using a full-automatic biochemical analyzer (Hitachi 7180), and calculating the relative deviation between the measured mean value and the target value to carry out accuracy verification. The results are shown in the following table:
TABLE 1 accuracy verification
Figure BDA0003205930420000061
From the above experimental results, the relative deviations of the test value 1 and the target value 1 of the three sets of kits were 0.21%, 0.61%, and-2.12%, respectively, and the relative deviations of the test value 2 and the target value 2 were-0.25%, 0.71%, and-1.13%, respectively. The detection accuracy of the kit (group A) prepared in the embodiment 1 of the invention is obviously better than that of the kit (group C).
(2) Precision verification
Selecting low-value samples, medium-value samples and high-value samples of the clinical specific growth factors, testing the samples by using three groups of kits, respectively repeating the measurement for 10 times, reading signals by a full-automatic biochemical analyzer (Hitachi 7180), respectively calculating a measurement mean value and a standard deviation, and calculating a variation coefficient to perform precision investigation. The results are shown in the following table:
TABLE 2 precision verification
Figure BDA0003205930420000062
Figure BDA0003205930420000071
From the above experimental results, the variation coefficients of the three sets of kits in the detection of the low value sample are 0.59%, 2.87% and 2.30%, the variation coefficients of the median sample in the detection are 0.49%, 0.53% and 1.91%, and the variation coefficients of the high value sample in the detection are 0.58%, 1.00% and 2.87%, respectively, and the experimental results show that the precision of the kit (group a) prepared in example 1 of the present invention in the detection of the low value sample, the median sample and the high value sample is better than that of the control kit-1 (group B) and the control kit-2 (group C).
(3) Linear range verification
Selecting a clinical ultrahigh-value sample and a clinical low-value sample, then utilizing the high-value sample and the low-value sample to prepare each concentration gradient sample in proportion, using three groups of kits to test the samples respectively, repeatedly measuring each sample for 2 times, reading signals through a full-automatic biochemical analyzer (Hitachi 7180), and calculating a measured mean value respectively to perform linear range investigation. The results are shown in the following table:
TABLE 3 group A kit Linear Range validation
H-L L-H Theoretical value Mean value Relative deviation 1 Estimated value Relative deviation 2
H 283.94 282.72 283.33 283.33 0.00% 282.81 0.18%
3/4H+1/4L 241.81 237.19 241.20 239.50 -0.71% 240.58 -0.45%
1/2H+1/2L 198.5 201.08 199.08 199.79 0.36% 198.35 0.72%
1/4H+3/4L 157.41 152.02 156.95 154.72 -1.42% 156.12 -0.90%
1/8H+7/8L 133.9 134.61 135.89 134.26 -1.20% 135.01 -0.56%
1/16H+15/16L 125.73 123.87 125.36 124.80 -0.44% 124.45 0.28%
L 114.08 115.57 114.83 114.83 0.00% 113.89
Note: the relative deviation 1 is the relative deviation of the mean from the theoretical value, and the relative deviation 2 is the relative deviation of the mean from the estimated value.
TABLE 4 group B kit Linear Range validation
H-L L-H Theoretical value Mean value Relative deviation 1 Estimated value Relative deviation 2
H 295.25 301.8 298.53 298.53 0.00% 287.32 3.90%
3/4H+1/4L 220.15 231.96 240.60 226.06 -6.04% 229.64 -1.56%
1/2H+1/2L 161.7 154.23 182.67 157.97 -13.52% 171.95 -8.14%
1/4H+3/4L 107.54 106.52 124.74 107.03 -14.20% 114.27 -6.34%
1/8H+7/8L 86.67 86.77 95.77 86.72 -9.45% 85.43 1.51%
1/16H+15/16L 72.61 73.60 81.29 73.11 -10.07% 71.01 2.95%
L 65.87 67.75 66.81 66.81 0.00% 56.59
Note: the relative deviation 1 is the relative deviation of the mean from the theoretical value, and the relative deviation 2 is the relative deviation of the mean from the estimated value.
TABLE 5 group C kit Linear Range validation
H-L L-H Theoretical value Mean value Relative deviation 1 Estimated value Relative deviation 2
H 247.56 248.15 247.86 247.86 0.00% 248.92 -0.43%
3/4H+1/4L 210.36 204.58 214.60 207.47 -3.32% 216.04 -3.97%
1/2H+1/2L 195.5 201.08 181.34 198.29 9.35% 183.15 8.26%
1/4H+3/4L 152.41 152.02 148.08 152.22 2.79% 150.27 1.29%
1/8H+7/8L 126.9 132.61 131.45 129.76 -1.29% 133.83 -3.04%
1/16H+15/16L 125.73 123.87 123.14 124.80 1.35% 125.61 -0.64%
L 114.10 115.57 114.83 114.83 0.00% 117.39
Note: the relative deviation 1 is the relative deviation of the mean from the theoretical value, and the relative deviation 2 is the relative deviation of the mean from the estimated value.
From the above experimental results, it can be seen that in the linear range of sample concentration 114-A kit. Meanwhile, the detection results of the three groups of kits are subjected to correlation analysis with the theoretical value of the sample concentration (shown in the attached figures 1-3): the correlation between the detection values of the kit in the group A and the theoretical values is obviously better than that between the detection values of the kit in the group B and the group C, wherein the correlation R between the detection values of the group A and the theoretical values20.9997, group B R20.9893 for group C, 0.9783 for group C. The experimental results show that the kit (group A) prepared in example 1 of the present invention has better linear correlation, i.e., better quantifiability, in the linear range than the kits of group B and group C.
EXAMPLE 4 Effect of organic solvents on the Linear Range of the kits
(1) In order to verify the effect of adding organic solvent to the reagent R1 on the linear range of the kit, a total of 4 sets of kits were set up:
group A: the kit prepared in the embodiment 2 of the invention;
group B: the kit differs from the kit of example 2 only in that no organic solvent is added to the reagent R1;
group C: the kit is different from the kit in example 2 only in that the organic solvent added in the reagent R1 is DMF (N, N-dimethylformamide);
group D: the kit is different from the kit in example 2 only in that the organic solvent added in the reagent R1 is methanol;
selecting a clinical ultrahigh-value sample and a clinical low-value sample, then preparing each concentration gradient sample by using the high-value sample and the low-value sample in proportion, respectively testing the samples by using the four groups of kits, respectively repeating the measurement for 2 times for each sample, reading signals by a full-automatic biochemical analyzer (Hitachi 7180), and respectively calculating a measurement mean value to perform linear range investigation. The results are shown in the following table:
TABLE 6 kit Linear Range verification
Figure BDA0003205930420000091
Figure BDA0003205930420000101
Note: the relative deviation 1 is the relative deviation of the mean value from the theoretical value.
From the above experimental results, the relative deviation between the detection value and the theoretical value of the groups a, C and D is smaller than that of the group B in the linear detection range, and the detection result of the group a is optimal. Meanwhile, the detection results of the 4 groups of kits are subjected to correlation analysis with the theoretical value of the sample concentration (shown in the attached figures 4-7): correlation R of A group of test values and theoretical values20.9997, group B R20.9774, group C R20.9992, group D R2Is 0.9976. The experimental result shows that the quantifiability of the reagent kit for detecting the TSGF can be obviously improved by adding an organic solvent (especially DMSO) into the reagent kit R1 for detecting the TSGF.
(2) In order to verify the influence of the addition amount of the organic solvent in the reagent R1 on the linear range of the kit, 4 groups of experiments are set up:
group A: the kit is different from the kit in example 2 only in that the content of an organic solvent DMSO in the reagent R1 is 100 g/L;
group B: the kit is different from the kit in example 2 only in that the addition amount of an organic solvent DMSO in the reagent R1 is 200 g/L;
group C: the kit is different from the kit in example 2 only in that the addition amount of an organic solvent DMSO in the reagent R1 is 600 g/L;
group D: the kit is different from the kit in example 2 only in that the addition amount of the organic solvent DMSO in the reagent R1 is 1000 g/L.
Selecting a clinical ultrahigh-value sample and a clinical low-value sample, then preparing each concentration gradient sample by utilizing the high-value sample and the low-value sample in proportion, respectively testing the samples by using the three groups of kits, respectively repeating the measurement for 2 times for each sample, reading signals by a full-automatic biochemical analyzer (Hitachi 7180), and respectively calculating a measurement mean value to perform linear range investigation. The results are shown in the following table:
TABLE 7 kit Linear Range verification
Figure BDA0003205930420000102
Figure BDA0003205930420000111
Note: the relative deviation 1 is the relative deviation of the mean value from the theoretical value.
And (3) carrying out correlation analysis on the detection results of the 4 groups of kits and the theoretical value of the sample concentration (shown in the attached figures 8-11): correlation R of A group of test values and theoretical values20.9887, group B R20.9971, group C R20.9996, group D R20.9960, the experimental result shows that the invention adds 200-600g/L organic solvent in the reagent R1, which can significantly improve the detection quantifiability in the linear range of the kit.
EXAMPLE 5 Effect of surfactant and inorganic salt composition on kit precision
(1) Influence of surfactant and inorganic salt composition on detection precision
In order to verify the effect of adding the surfactant and the inorganic salt composition in the reagent R1 on the detection precision of the kit, 8 sets of experiments are provided in the present example, wherein the kit used in each set of experiments is different from that in example 1 only in whether the surfactant 1Triton X-100, the surfactant 2Tween-20 and the inorganic salt NaCl are added in the reagent R1, and the preparation methods of the rest of the kits are the same as those in example 1. And simultaneously, the 8 groups of kits are adopted to carry out precision detection on the median sample, and the detection results are shown in the following table:
TABLE 8
Figure BDA0003205930420000112
Figure BDA0003205930420000121
Note: "√" indicates inclusion of the component; "×" indicates that the component is not contained.
Experimental results show that when the surfactant 1TritonX-100, the surfactant 2Tween-20 and the inorganic salt NaCl are simultaneously added into the reagent R1, the detection precision of the kit is higher.
(2) Influence of surfactant and inorganic salt concentration
In order to verify the effect of adding the surfactant and inorganic salt composition to the reagent R1 on the linear range of the kit, 5 sets of experiments were provided in this example, wherein each set of experiments only differed from example 1 in the concentrations of the surfactant 1Triton X-100, the surfactant 2Tween-20 and the inorganic salt NaCl in the reagent R1, and the preparation methods of the other kits were the same as example 1. The five kits are simultaneously adopted to carry out precision detection on the median sample, and the detection results are shown in the following table:
TABLE 9
Figure BDA0003205930420000122
The experimental result shows that when the concentration range of the surfactant 1 in the reagent R1 is 5-20g/L, the concentration range of the surfactant 2 is 0.1-1g/L and the concentration range of the inorganic salt is 1-5g/L, the detection precision of the kit is higher.
(3) Influence of surfactant and inorganic salt species
In this example, 5 sets of experiments were set, wherein each set of experiments was performed using a kit different from example 1 only in the kinds of surfactant 1, surfactant 2 and inorganic salt in the reagent R1, and the other kits were prepared in the same manner as in example 1. The five kits are simultaneously adopted to carry out precision detection on the median sample, and the detection results are shown in the following table:
watch 10
Figure BDA0003205930420000131
The experimental result shows that when the surfactant 1, the surfactant 2 and the inorganic salt in the reagent R1 are combined by the 7 methods, the detection precision of the kit is high, and particularly when the surfactant 1 is Triton X-100 or Triton X-305, the surfactant 2 is LS-114 or Tween-20 and the inorganic salt is NaCl, the detection precision is highest.
In conclusion, the method can effectively promote the positive progress of the ninhydrin color reaction by adding a certain amount of organic solvent (DMSO) into the detection reagent R1, so that the color reaction is close to a complete reaction, the quantifiability of the detection reagent to the object to be detected in a linear range is remarkably improved, and simultaneously, the problems of sample precipitation and detection precision reduction are brought along with the addition of the organic solvent. Furthermore, the composition of the surfactant and the salt is added into the reagent R1, so that the problems of sample precipitation and precision reduction after the addition of the organic solvent are solved, and the detection performance of the kit is effectively improved.
Although embodiments of the present invention have been shown and described above, it should be understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that those skilled in the art can make changes, modifications, substitutions and alterations to the above embodiments without departing from the principles and spirit of the present invention.

Claims (10)

1. A kit for determining a specific growth factor, comprising a reagent R1 and a reagent R2, wherein: the reagent R1 comprises a buffer solution, a surfactant 1, an inorganic salt and an organic solvent.
2. The kit for detecting the specific growth factor according to claim 1, wherein the reagent R2 comprises a buffer solution, a color developing agent and a preservative.
3. The kit for detecting a specific growth factor according to claim 2, wherein: the organic solvent is at least one selected from DMSO, DMF or methanol, and is preferably DMSO.
4. The kit for detecting a specific growth factor according to claim 3, wherein: the content of the organic solvent is 200-600g/L, preferably 400-600 g/L.
5. The kit for detecting a specific growth factor according to claim 4, wherein: the reagent R1 also comprises a surfactant 2; the reagent R2 comprises a buffer solution, a color developing agent and a preservative.
6. The kit for detecting a specific growth factor according to claim 5, wherein: the surfactant 1 and the surfactant 2 are selected from two of Triton X-100, Triton X-305, Emulgen LS-114, Emulgen 709, Tween-20 or Tween-80, preferably combinations of Triton X-100 and Emulgen LS-114, Triton X-305 and Emulgen LS-114 or Triton X-305 and Tween-20; the content of the surfactant 1 is 5-20g/L, and the content of the surfactant 2 is 0.1-1 g/L.
7. The kit for detecting the specific growth factor according to any one of claims 5 to 6, wherein the buffer in the reagent R1 is at least one selected from 4-hydroxyethylpiperazine ethanesulfonic acid, Tris buffer or GOOD' S buffer, and the inorganic salt is at least one selected from sodium chloride or potassium chloride; the buffer solution in the reagent R2 is at least one selected from phosphate buffer solution, GOOD' S buffer solution or succinic acid buffer solution, the color developing agent is ninhydrin, and the preservative is at least one selected from sodium azide or Proclin 300; the content of the buffer solution in the reagent R1 is 50-150mM, and the content of the inorganic salt is 1-5 g/L; the content of the buffer solution in the reagent R2 is 30-50mM, the content of the color developing agent is 10-100mM, and the content of the preservative is 0.1-1 g/L.
8. A composition effective for enhancing the detection of a biochemical reagent, the composition comprising: organic solvent, surfactant 1, surfactant 2, and inorganic salt.
9. The composition for improving the detection performance of a biochemical reagent according to claim 8, wherein the organic solvent is at least one selected from DMSO, DMF or methanol, preferably DMSO; the surfactant 1 and the surfactant 2 are selected from two of Triton X-100, Triton X-305, Emulgen LS-114, Emulgen 709, Tween-20 or Tween-80, preferably combinations of Triton X-100 and Emulgen LS-114, Triton X-305 and Emulgen LS-114 or Triton X-305 and Tween-20; the inorganic salt is selected from at least one of sodium chloride or potassium chloride.
10. The composition for improving the detection performance of biochemical reagents according to claims 8-9, wherein the reagent is a kit for detecting specific growth factors.
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