XTT Sodium Salt BioChemica

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Product Name XTT Sodium Salt BioChemica
Cas Number 111072-31-2
Molecular Formula C21H13N2NaO5S
Molecular Weight 430.39 g/mol
Appearance Yellow solid
Solubility Soluble in water
Storage Condition Store at room temperature
Shelf Life 2 years
Purity Min. 98%
Usage Cell proliferation and viability assay
Alternative Names 2H-1-Benzopyran-6,9-phenanthroline-9-one sodium salt
Manufacturing Source Synthetic
FAQ
What is XTT Sodium Salt BioChemica and what are its primary applications?
XTT Sodium Salt BioChemica is a colorimetric indicator used in cell proliferation assays. It is commonly utilized in scientific research to measure cell viability, cytotoxicity, and proliferation rates.

How does XTT Sodium Salt BioChemica work in cell proliferation assays?
XTT Sodium Salt BioChemica works by being reduced by metabolically active cells into a formazan dye, which can be measured spectrophotometrically to quantify the number of viable cells present in a sample. This process provides valuable insights into cell health and growth rates.

What are the advantages of using XTT Sodium Salt BioChemica over other cell proliferation assays?
XTT Sodium Salt BioChemica offers several advantages over other cell proliferation assays, including its simplicity, speed, and sensitivity. It is a non-radioactive, colorimetric assay that does not require specialized equipment or extensive training to use effectively.

Can XTT Sodium Salt BioChemica be used in combination with other reagents or assays?
Yes, XTT Sodium Salt BioChemica can be used in combination with other reagents or assays to enhance the accuracy and reliability of cell proliferation studies. It is often used in conjunction with other indicators or markers to obtain more comprehensive data on cellular responses.

Is XTT Sodium Salt BioChemica suitable for high-throughput screening applications?
Yes, XTT Sodium Salt BioChemica is well-suited for high-throughput screening applications due to its rapid assay time and the ability to automate the measurement process. It is an excellent choice for researchers looking to conduct large-scale studies efficiently and cost-effectively.
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