Literature DB >> 32391827

Digital enzyme-linked immunosorbent assays with sub-attomolar detection limits based on low numbers of capture beads combined with high efficiency bead analysis.

Cheuk W Kan1, Carmen I Tobos, David M Rissin, Alexander D Wiener, Ray E Meyer, Danielle M Svancara, Anna Comperchio, Christopher Warwick, Roger Millington, Nicholas Collier, David C Duffy.   

Abstract

We report the development of digital enzyme-linked immunosorbent assays (ELISAs) based on single molecule arrays (Simoa) with improved sensitivities over conventional digital ELISA, enabling detection of proteins at sub-attomolar concentrations. The improvements in sensitivity were based on using fewer beads to capture the target proteins (≤5000 vs.∼500 000 beads) that increased the ratio of molecules to beads, and increasing the fraction of beads that were analyzed (bead read efficiency) from ∼5% to ∼50%. Bead read efficiency was increased by: a) improving the loading of beads into arrays of microwells by combining capillary and magnetic forces in a method called magnetic-meniscus sweeping (MMS); b) using a centrifugal washer to minimize bead loss during the assay; and, c) improved optics and image analysis to enable the analysis of more microwells. Using this approach, we developed an assay for IL-17A with a limit of detection (LOD) of 0.7 aM, 437-fold more sensitive than standard digital ELISA. A digital ELISA with improved sensitivity was used to measure IL-17A in 100 serum and plasma samples with 100% detectability, compared to 51% for standard digital ELISA. Low numbers of capture beads yielded improved LODs for IL-12p70 (0.092 aM), p24 (9.1 aM), and interferon alpha (45.9 aM). IL-4 and PSA showed no improvements in sensitivity using fewer beads, primarily due to low antibody loading on beads and increased non-specific binding, respectively. The results were consistent with a kinetic model of binding that showed that combining capture antibodies with high on-rates with high antibodies per bead yields the greatest improvement in sensitivity.

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Year:  2020        PMID: 32391827     DOI: 10.1039/d0lc00267d

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  7 in total

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Authors:  D O T Alawode; A J Heslegrave; N J Ashton; T K Karikari; J Simrén; L Montoliu-Gaya; J Pannee; A O Connor; P S J Weston; J Lantero-Rodriguez; A Keshavan; A Snellman; J Gobom; R W Paterson; J M Schott; K Blennow; N C Fox; H Zetterberg
Journal:  J Intern Med       Date:  2021-06-26       Impact factor: 8.989

  7 in total

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