Accurate nucleic acid quantification in a single sample tube without the need for calibration

2021 
Abstract Convenient and accurate nucleic acid quantification (NAQ) is crucial to clinical diagnosis, forensic medicine, veterinary medicine and food analysis. However, traditional NAQ relies on the preparation of a laborious, time-consuming and expensive calibration curve, which would also propagate pipette errors through serially dilutions. Besides, traditional NAQ is run in different tubes, which introduces bias from random tube-to-tube variations and is unable to detect inhibitors from biological samples. To solve these problems, a single-tube quantitative PCR (stqPCR) technique is proposed which enables accurate quantification without the need for a calibration curve. In this method, an internal quantitative standard DNA (IQS-DNA) for quantification was screened out by co-amplification with the target DNA. Then the difference between the quantification cycle value (ΔCq) of the IQS-DNA and the target DNA was used for NAQ. The method permitted high accuracy quantification with reliable data for concentrations in plasmid, serum standard, and clinical samples being confirmed (R2 values of 0.9951, 0.9889, and 0.9727, slope values of 1.011, 1.028, and 0.9327, and intercept values of -0.06037, -0.1486, and 0.3325, respectively). Accurate NAQ could also be achieved by stqPCR even though inhibitors were present in a sample; however, in the case of using a commercial assay kit, satisfactory performance was only attained after the same sample was diluted some 32-fold. Moreover, integration of the present method into a microfluidic system could achieve super-fast NAQ in less than 30 min and achieve super-fast “sample in, quantitative answer out” testing in less than 40 min. Thus, the stqPCR method present here would promote the development of NAQ in the laboratory and on site.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    39
    References
    1
    Citations
    NaN
    KQI
    []