Porcine Anti-Thyroid-Peroxidase Antibody ELISA Kit (Custom ELISA) - LS-F41319 Type: Quantitative Custom ELISA Format: 96-Well Strip Plate Reactivity: Porcine Range: 0.156-10 ng/ml Detection: Colorimetric - 450nm (TMB)Product DescriptionLS-F41315 is a 96-well enzyme-linked immunosorbent assay (ELISA) for the Quantitative detection of Chicken Anti-Thyroid-Peroxidase Antibody. It is based upon a Custom assay principle and can be used to detect levels of Anti-Thyroid-Peroxidase Antibody as low as 37.5 nanograms per millilter. Top of PageSpecificationsType
Custom ELISA kit
All LSBio Custom kits have been predesigned and all necessary components, including antibodies and standards have been identified. Upon receiving a custom kit order, the kit will be assembled and quality control tested before being shipped out. Kit assembly and testing typically takes 4 to 6 weeks. In most cases the final kit is based on the Sandwich assay principle, with a few being Competitive EIA based. Specifications such as Range, Sensitivity, and Precision are defined upon completion. In the event that the custom kit cannot be successfully developed with 6 weeks of the order date, the customer will be notified and the order canceled at no cost.
Target
Anti-Thyroid-Peroxidase Antibody Reactivity
Chicken Manual
Format
96-Well Strip Plate Detection
Colorimetric - 450nm (TMB) Measurement
Quantitative Detection Range
To be determined Sensitivity
To be determined Assay Time
4.5 h Precision
Intra-Assay: CV<10% Inter-Assay: CV<10% Storage
Store at 4°C. Do not freeze. Kit Components
Typical components include:
Coated 96-well Strip Plate
Adhesive Plate Sealers
Sample Diluent
Wash Buffer (25x)
TMB Substrate
Stop Solution
Standard (Lyophilized)
HRP Conjugate Diluent
Biotinylated Detection Antibody Diluent
HRP Conjugate (100x)
Biotinylated Detection Antibody (100x)
Restrictions
For research use only. Guarantee
This elisa kit carries the LSBio Guarantee. Top of PagePublications (0)Submit a Publication Top of PageCustomer Reviews (0)Submit a Review Top of PageImages