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Cited by 578

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Methods to determine limit of detection and limit of quantification in quantitative real-time PCR (qPCR)

Open access
Forootan, Amin, Sjöback, Robert, Björkman, Jens, Sjögreen, Björn, Linz, Lucas, Kubista, Mikael·2017·Biomolecular Detection and Quantification

Abstract

Quantitative Real-Time Polymerase Chain Reaction, better known as qPCR, is the most sensitive and specific technique we have for the detection of nucleic acids. Even though it has been around for more than 30 years and is preferred in research applications, it has yet to win broad acceptance in routine practice. This requires a means to unambiguously assess the performance of specific qPCR analyses. Here we present methods to determine the limit of detection (LoD) and the limit of quantification (LoQ) as applicable to qPCR. These are based on standard statistical methods as recommended by regulatory bodies adapted to qPCR and complemented with a novel approach to estimate the precision of LoD.

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Metadata

Authors
Forootan, A., Sjöback, R., Björkman, J., Sjögreen, B., Linz, L., & Kubista, M.
Venue
Biomolecular Detection and Quantification
Publisher
Elsevier BV
Published
2017-06
Volume
12
Pages
1-6
ISSN
2214-7535 (ISSN-L)
OpenAlex
W2608363029
Cited by
578
References
5
FWCI
12.91
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Methods to determine limit of detection and limit of quantification in quantitative real-time PCR (qPCR). https://app.cochat.ai/papers/10.1016/j.bdq.2017.04.001
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Forootan, A., Sjöback, R., Björkman, J., Sjögreen, B., Linz, L., & Kubista, M. (2017). Methods to determine limit of detection and limit of quantification in quantitative real-time PCR (qPCR). Biomolecular Detection and Quantification. https://doi.org/10.1016/j.bdq.2017.04.001

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.