Issue 5, 2024

Droplet size affects the degree of separation between fluorescence-positive and fluorescence-negative droplet populations in droplet digital PCR

Abstract

In droplet digital polymerase chain reaction (ddPCR) tests, a single sample solution is divided into many water-in-oil droplets. At the endpoint of PCR amplification, individual droplets are classified as either fluorescence-positive (FL(+)) or fluorescence-negative (FL(−)) droplets based upon their fluorescence amplitudes. Populations of FL(+) and FL(−) droplets can be seen in the histogram of fluorescence amplitude. The absolute copy number of a target molecule can be calculated from the fraction of FL(+) droplets relative to the total droplet number analyzed using Poisson statistics. It is crucial that the population of FL(+) droplets can be distinctly separated from that of the FL(−) droplets for accurately estimating the FL(+) droplet fraction and the absolute copy number. However, the distinct separation of the two populations is often impaired in actual ddPCR tests. Although many factors have been suggested to affect population separation, no study has addressed whether the droplet size influences the degree of separation. In this study, we compared the degrees of separation for ddPCR runs with three different droplet sizes. The experimental results showed an increasing degree of separation with decreasing droplet size. This discovery will potentially guide researchers to use smaller droplets in ddPCR to achieve higher accuracy and precision.

Graphical abstract: Droplet size affects the degree of separation between fluorescence-positive and fluorescence-negative droplet populations in droplet digital PCR

Supplementary files

Article information

Article type
Paper
Submitted
25 Sep 2023
Accepted
13 Dec 2023
First published
14 Dec 2023

Anal. Methods, 2024,16, 656-666

Droplet size affects the degree of separation between fluorescence-positive and fluorescence-negative droplet populations in droplet digital PCR

Y. Nakamura and M. Hashimoto, Anal. Methods, 2024, 16, 656 DOI: 10.1039/D3AY01689G

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