Evidence map›Paper›PMID 35941317›Full record

ArticleAnalytical and bioanalytical chemistry2022

Accurate quantification of SARS-CoV-2 RNA by isotope dilution mass spectrometry and providing a correction of reverse transcription efficiency in droplet digital PCR.

Chunyan Niu, Xia Wang, Yunhua Gao, Xiaoting Qiao, Jie Xie, Yongzhuo Zhang, Di Wang, Lianhua Dong

Open access · bronzeAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Chunyan NiuCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Xia WangCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Yunhua GaoCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Xiaoting QiaoCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Jie XieCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Yongzhuo ZhangCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Di WangCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Lianhua DongCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China. donglh@nim.ac.cn.
National Institute of Metrology · CN

Funding

Science and Technology Program of the State Administration for Market Regulation 2020MK147Special Program for Technical Support of the State Administration for Market Regulation 2020YJ039
6 · The paper itself

Abstract

The novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected more than 505 million confirmed cases, including over 6 million deaths. Reference materials (RMs) of SARS-CoV-2 RNA played a crucial role in performance evaluation and quality control of testing laboratories. As the potential primary characterization method of RMs, reverse transcription digital PCR (RT-dPCR) measures the copy number of RNA, but the accuracy of reverse transcription (RT) efficiency has yet to be confirmed. This study established a method of enzymatic digestion followed by isotope dilution mass spectrometry (IDMS), which does not require an RT reaction, to quantify in vitro-transcribed SARS-CoV-2 RNA. RNA was digested to nucleotide monophosphate (NMP) within 15 min and analyzed by IDMS within 5 min. The consistency among the results of four different NMPs demonstrated the reliability of the proposed method. Compared to IDMS, the quantitative result of RT-dPCR turned out to be about 10% lower, possibly attributed to the incompleteness of the reverse transcription process. Therefore, the proposed approach could be valuable and reliable for quantifying RNA molecules and evaluating the RT efficiency of RT-based methods.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansIsotopesMass SpectrometryPolymerase Chain ReactionReproducibility of ResultsReverse TranscriptionRNA, ViralSensitivity and SpecificityIsotopesRNA, ViralDigital PCRIDMSReverse transcriptionSARS-CoV-2

Identifiers

PMID35941317
PMCPMC9360635
OpenAlexW4290694821

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.