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96 Wells Human Acetylserotonin O Methyltransferase / ELISA Test Kit 0.016ng/Ml

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Shanghai Korain Biotech Co., Ltd

96 Wells Human Acetylserotonin O Methyltransferase / ELISA Test Kit 0.016ng/Ml

Country/Region china
City & Province shanghai shanghai
Categories Dyestuff Intermediates
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Product Details

96 Wells Human Acetylserotonin O-methyltransferase ELISA Test Kit With Strong Sensitivity and Specificity

 

Cat.No E6644Hu

 

Reagent Provided

ComponentsQuantity
Standard Solution (24ng/ml)0.5ml x1
Pre-coated ELISA Plate12 * 8 well strips x1
Standard Diluent3ml x1
Streptavidin-HRP6ml x1
Stop Solution6ml x1
Substrate Solution A6ml x1
Substrate Solution B6ml x1
Wash Buffer Concentrate (25x)20ml x1
Biotinylated Human ASMT Antibody1ml x1
User Instruction1
Plate Sealer2 pics
Zipper bag1 pic

 

Size: 96 wells

Storage: Store the reagents at 2-8°C. For over 6-month storage refer to the expiration date keep it at -20°C. Avoid repeated thaw cycles. If individual reagents are opened it is recommended that the kit be used within 1 month.

*This product is for research use only, not for use in diagnosis procedures. It’s highly recommend to read this instruction entirely before use.

 

Assay Principle

This ELISA Test Kit is an Enzyme-Linked Immunosorbent Assay (ELISA). The plate has been pre-coated with Human ASMT antibody. ASMT present in the sample is added and binds to antibodies coated on the wells. And then biotinylated Human ASMT Antibody is added and binds to ASMT in the sample. Then Streptavidin-HRP is added and binds to the Biotinylated ASMT antibody. After incubation unbound Streptavidin-HRP is washed away during a washing step. Substrate solution is then added and color develops in proportion to the amount of Human ASMT. The reaction is terminated by addition of acidic stop solution and absorbance is measured at 450 nm.

 

Intended Use

 

This sandwich kit is for the accurate quantitative detection of Human Acetylserotonin O-methyltransferase (also known as ASMT) in serum, plasma, cell culture supernates, cell lysates, tissue homogenates.

 

Reagent Preparation

All reagents should be brought to room temperature before use.

Standard Reconstitute the 120μl of the standard (24ng/ml) with 120μl of standard diluent to generate a 12ng/ml standard stock solution. Allow the standard to sit for 15 mins with gentle agitation prior to making dilutions. Prepare duplicate standard points by serially diluting the standard stock solution (12ng/ml) 1:2 with standard diluent to produce 6ng/ml, 3ng/ml, 1.5ng/ml and 0.75ng/ml solutions. Standard diluent serves as the zero standard(0 ng/ml). Any remaining solution should be frozen at -20°C and used within one month. Dilution of standard solutions suggested are as follows:

 

12ng/mlStandard No.5120μl Original Standard + 120μl Standard Diluent
6ng/mlStandard No.4120μl Standard No.5 + 120μl Standard Diluent
3ng/mlStandard No.3120μl Standard No.4 + 120μl Standard Diluent
1.5ng/mlStandard No.2120μl Standard No.3 + 120μl Standard Diluent
0.75ng/mlStandard No.1120μl Standard No.2 + 120μl Standard Diluent

 

Standard ConcentrationStandard No.5Standard No.4Standard No.3Standard No.2Standard No.1
24ng/ml12ng/ml6ng/ml3ng/ml1.5ng/ml0.75ng/ml

 

Wash Buffer Dilute 20ml of Wash Buffer Concentrate 25x into deionized or distilled water to yield 500 ml of 1x Wash Buffer. If crystals have formed in the concentrate, mix gently until the crystals have completely dissolved.

 

Summary

1. Prepare all reagents, samples and standards.

2. Add sample and ELISA reagent into each well. Incubate for 1 hour at 37°C.

3. Wash the plate 5 times.

4. Add substrate solution A and B. Incubate for 10 minutes at 37°C.

5. Add stop solution and color develops.

6. Read the OD value within 10 minutes.

 

Calculation of Result

Construct a standard curve by plotting the average OD for each standard on the vertical (Y) axis against the concentration on the horizontal (X) axis and draw a best fit curve through the points on the graph. These calculations can be best performed with computer-based curve-fitting software and the best fit line can be determined by regression analysis.

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