& medical supplies
Vybavení a produkty pro klinické laboratoře, vědu a výzkum
- Reprodukční medicína
- Cytogenetika
- Buněčná biologie
- Pipetování a centrifugace
- Preparáty a Histopatologie
- Molekulární biologie
- Servis
- mikromanipulace buněk
- inkubace (kultivace)
- pipetování
- kryokonzervace
- označování vzorků
- zkumavky
- PCR
- přístroje pro úpravu vzorků
- preparáty - mikroskopie
- centrifugace
- izolace, purifikace
- IVF kliniky
- technický servis
- laboratorní rukavice
- skladování
- preparaty- chromosomy
4X CAPITAL™ qPCR Green Master Mix
1000 reakcí
- Výrobce: biotechrabbit GmbH
- Kód produktu: BR0501702
- Dostupnost: Obvykle do 4 týdnů
- Velikost balení: 1000 reakcí
- Skladování: -20°C
- Objem: 5 x 1 ml
- Cena bez DPH: 11 858 Kč
- Cena s DPH: 14 348 Kč
Product description:
biotechrabbit CAPITAL qPCR Green Mix allows sensitive and specific amplification with an excellent signal to noise ratio and rapid extension rates. Extremely low-copy-number targets can be detected with high efficiency over several logs of template concentration, while primer-dimer formation is efficiently minimized.
CAPITAL qPCR Green Mix shows accurate and robust performance in wide range of applications, including gene expression and copy number variation analysis.
To enable the use of the kit on qPCR platforms with different reference dye concentration requirements, three kit formats are available: a kit containing no ROX, as well as LRox and HRox versions containing ROX in the corresponding concentrations.
Info: Recommended annealing temperature is 2°C above primer Tm (use gradient PCR to optimize the annealing temperature).
Features
- Best in-class performance in a wide range of applications
- Highly specific amplification and excellent signal to noise ratio
- High sensitivity in amplification of low-abundance DNA targets with a wide range of linearity
Applications
- Standard and fast cycling qPCR with rapid extension rate for early Ct values
- Accurate and robust gene expression analysis
- Excellent performance in copy number variation analysis