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qPCR Instrumentation
Real-Time Quantitative PCR
SYBR Green Detection
PerfeCTa SYBR Green SuperMix
PerfeCTa SYBR Green FastMix
Probe-based Detection
PerfeCTa MultiPlex qPCR SuperMix
PerfeCTa qPCR ToughMix
PerfeCTa Multiplex qPCR ToughMix
PerfeCTa FastMix II
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Multiplexed Pre-Amplification
PerfeCTa PreAmp SuperMix
Conventional PCR
AccuStart II PCR SuperMix
AccuStart II Taq DNA Polymerase
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AccuStart II GelTrack PCR SuperMix
AccuStart Long Range SuperMix
repliQa HiFi ToughMix
repliQa HiFi ToughMix
Next Generation Sequencing (NGS)
sparQ HiFi PCR Master Mix
sparQ DNA Library Prep Kit
sparQ DNA Frag & Library Prep Kit
sparQ PureMag Beads
sparQ Universal Library Quant Kit
sparQ UDI Adapters (1-96)
Reverse Transcription
Conventional RT-PCR
qScript XLT 1-Step RT-PCR Kit
Quantitative RT-qPCR
qScript XLT 1-Step RT-qPCR ToughMix
qScript One-Step SYBR Green RT-qPCR
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qScript One-Step RT-qPCR Kit
Qscript lyo 1-step
qScript 1-Step Virus ToughMix
First-Strand cDNA Synthesis
qScript cDNA SuperMix
qScript XLT cDNA SuperMix
qScript cDNA Synthesis Kit
qScript Flex cDNA Kit
qScript Ultra Flex Kit
Sample Preparation
Extracta DNA Prep for PCR
5PRIME Phase Lock Gel
Extracta DBS
Extracta Plus RNA
Extracta Plus DNA
AccuStart II PCR Genotyping Kit
AccuStart Genotyping ToughMix
Product Manuals
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  • Next Generation Sequencing (NGS)
    DNA metabarcoding to unravel plant species composition in selected herbal medicines on the National List of Essential Medicines (NLEM) of Thailand
    Santhosh Kumar J. Urumarudappa, Scientific Reports - 2020
    Traditional medicines are widely traded across the globe and have received considerable attention in the recent past, with expectations of heightened demand in the future. However, there are increasing global concerns over admixture, which can affect the quality, safety, and efficacy of herbal medicinal products. In this study, we aimed to use DNA metabarcoding to identify 39 Thai herbal products on the Thai National List of Essential Medicines (NLEM) and assess species composition and admixture. Among the products, 24 samples were in-house-prepared formulations, and 15 samples were registered formulations. In our study, DNA metabarcoding analysis using ITS2 and rbcL barcode regions were employed to identify herbal ingredients mentioned in the products. The nuclear region, ITS2, was able to identify herbal ingredients in the products at the genus- and family-levels in 55% and 63% of cases, respectively. The chloroplast gene, rbcL, enabled genus- and family-level identifications in 58% and 73% of cases, respectively. In addition, plant species were detected in larger numbers (Family identified, absolute %) in registered herbal products than in in-house-prepared formulations. The level of fidelity increases concerns about the reliability of the products. This study highlights that DNA metabarcoding is a useful analytical tool when combined with advanced chemical techniques for the identification of plant species in highly processed, multi-ingredient herbal products.
    Environmental DNA metabarcoding as a tool for biodiversity assessment and monitoring: reconstructing established fish communities of north-temperate lakes and rivers
    Peter T. Euclide, Diversity and Distributions - 2021
    Aim To evaluate the ability of precipitation-based environmental DNA (eDNA) sample collection and mitochondrial 12S metabarcoding sequencing to reconstruct well-studied fish communities in lakes and rivers. Specific objectives were to 1) determine correlations between eDNA species detections and known community composition based on conventional field sampling, 2) compare efficiency of eDNA to detect fish biodiversity among systems with variable morphologies and trophic states, and 3) determine if species habitat preferences predict eDNA detection. Location Upper Great Lakes Region, North America. Methods Fish community composition was estimated for seven lakes and two Mississippi River navigation pools using sequence data from the mitochondrial 12S gene amplified from 10 to 50 water samples per waterbody collected in 50-mL centrifuge tubes at a single time point. Environmental DNA (eDNA) was concentrated without filtration by centrifuging samples to reduce per-sample handling time. Taxonomic detections from eDNA were compared to established community monitoring databases containing up to 40 years of sampling and a detailed habitat/substrate preference matrix to identify patterns of bias. Results Mitochondrial 12S gene metabarcoding detected 15%–47% of the known species at each waterbody and 30%–76% of known genera. Non-metric multidimensional scaling (NMDS) assessment of the community structure indicated that eDNA-detected communities grouped in a similar pattern as known communities. Discriminant analysis of principal components indicated that there was a high degree of overlap in habitat/substrate preference of eDNA-detected and eDNA-undetected species suggesting limited habitat bias for eDNA sampling. Main conclusions Large numbers of small volume samples sequenced at the mitochondrial 12S gene can describe the coarse community structure of freshwater systems. However, additional conventional sampling and environmental DNA sampling may be necessary for a complete diversity census.
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