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96 Wells Mouse Activin A ACV-A ELISA Kit Sensitivity and Specificity

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96 Wells Mouse Activin A ACV-A ELISA Kit Sensitivity and Specificity

Brand Name : BT Lab

Model Number : Cat.No E0792Mo

Certification : CE, ISO9001:2005, MSDS

Place of Origin : Shanghai, China

MOQ : Negotiation

Price : Negotiation

Payment Terms : Western Union, T/T

Supply Ability : In Stock

Delivery Time : 1-3 business days, bulk order within one week

Packaging Details : Wrapped with ice pack and styrofoam package

Brand : BT Lab

Assay Time : 2 hours

Sample : serum,plasma,urine,tissue,cell culture supernatant

Custom : Available

Organism Species : mouse

OEM : Acceptable

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96 Wells Mouse Activin A ACV-A ELISA Kit Sensitivity and Specificity

Cat.No E0792Mo
Standard Curve Range: 10ng/L - 3000ng/L
Sensitivity: 5.43ng/L
Size: 96 wells

Assay Principle
This kit is an Enzyme-Linked Immunosorbent Assay (ELISA). The plate has been pre-coated with Mouse ACV-A antibody. ACV-A present in the sample is added and binds to antibodies coated on the wells. And then biotinylated Mouse ACV-A Antibody is added and binds to ACV-A in the sample. Then Streptavidin-HRP is added and binds to the Biotinylated ACV-A 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 Mouse ACV-A. The reaction is terminated by addition of acidic stop solution and absorbance is measured at 450 nm.
Reagent Provided

ComponentsQuantity
Standard Solution (3200ng/L)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 (30x)20ml x1
Biotinylated Mouse ACV-A Antibody1ml x1
User Instruction1
Plate Sealer2 pics
Zipper bag1 pic


Material Required But Not Supplied

  • 37°C±0.5°C incubator
  • Absorbent paper
  • Precision pipettes and disposable pipette tips
  • Clean tubes
  • Deionized or distilled water
  • Microplate reader with 450 ± 10nm wavelength filter

Reagent Preparation
All reagents should be brought to room temperature before use.
Standard Reconstitute the 120μl of the standard (3200ng/L) with 120μl of standard diluent to generate a 1600ng/L 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 (1600ng/L) 1:2 with standard diluent to produce 800ng/L, 400ng/L, 200ng/L and 100ng/L solutions. Standard diluent serves as the zero standard(0 ng/L). Any remaining solution should be frozen at -20°C and used within one month. Dilution of standard solutions suggested are as follows:

1600ng/LStandard No.5120μl Original Standard + 120μl Standard Diluent
800ng/LStandard No.4120μl Standard No.5 + 120μl Standard Diluent
400ng/LStandard No.3120μl Standard No.4 + 120μl Standard Diluent
200ng/LStandard No.2120μl Standard No.3 + 120μl Standard Diluent
100ng/LStandard No.1120μl Standard No.2 + 120μl Standard Diluent

Standard ConcentrationStandard No.5Standard No.4Standard No.3Standard No.2Standard No.1
3200ng/L1600ng/L800ng/L400ng/L200ng/L100ng/L


Wash Buffer Dilute 20ml of Wash Buffer Concentrate 30x 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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