Literature DB >> 33469711

A whole area scanning-enabled direct-counting strategy for studying blocking efficiency in mitigating protein-solid surface binding.

Haomin Liu1, Yikun Huang2, Yu Lei3,4.   

Abstract

The study of protein-solid surface binding as well as blocking efficiency of blocking agents plays an important role in the development of high-performance immunoassays. Although conventional colorimetric based assays are widely employed to monitor protein non-specific binding on the surface of microplate wells and evaluate the performance of blocking agents, there is still a great need to develop new methods to achieve the same goal from a new perspective. In this study, an innovative whole area scanning (WAS)-enabled direct-counting strategy was developed and validated through studying the blocking efficiency of different blocking agents on the non-specific binding of streptavidin-alkaline phosphatase conjugate (Strep-ALP, a model protein) to the surface of 96-well microplates. After non-specific binding of Strep-ALP in wells with or without blocking agents' treatment and loading of ELF™ 97 phosphate (ELFP), ALP in Strep-ALP conjugates converts ELFP to water-insoluble ELF™ 97 alcohol (ELFA), which precipitates locally, self-assembles into large needle structures, and glows green fluorescence upon excitation. After quenching the reaction, WAS of the whole wells allows us to directly count the number of individual fluorescent precipitates, which can be used to calculate and compare the blocking efficiency of three commonly used blocking agents (BSA, casein, and dry milk) based on mitigating the non-specific binding of Strep-ALP. WAS-enabled counting of individual needle-type precipitates opens a new avenue to investigate protein-solid surface binding as well as the efficiency of blocking agents with high sensitivity.

Entities:  

Keywords:  Alkaline phosphatase; Blocking efficiency; Digital fluorescence counting; Whole area scanning

Mesh:

Substances:

Year:  2021        PMID: 33469711     DOI: 10.1007/s00216-020-03120-7

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  15 in total

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Journal:  ACS Nano       Date:  2009-03-24       Impact factor: 15.881

2.  Protein-solid interactions: important role of solvent, ions, temperature, and buffer in protein binding to alpha-Zr(IV) phosphate.

Authors:  Michael R Duff; Challa V Kumar
Journal:  Langmuir       Date:  2009-11-03       Impact factor: 3.882

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Authors:  Kosta Makrodimitris; David L Masica; Eric T Kim; Jeffrey J Gray
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4.  Competitive Immunoassays for the Detection of Small Molecules Using Single Molecule Arrays.

Authors:  Xu Wang; Limor Cohen; Jun Wang; David R Walt
Journal:  J Am Chem Soc       Date:  2018-12-11       Impact factor: 15.419

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Journal:  Acc Chem Res       Date:  2010-10-19       Impact factor: 22.384

6.  Quantitation of the blocking effect of tween 20 and bovine serum albumin in ELISA microwells.

Authors:  M Steinitz
Journal:  Anal Biochem       Date:  2000-07-01       Impact factor: 3.365

7.  Quantitative differences among various proteins as blocking agents for ELISA microtiter plates.

Authors:  R F Vogt; D L Phillips; L O Henderson; W Whitfield; F W Spierto
Journal:  J Immunol Methods       Date:  1987-07-16       Impact factor: 2.303

8.  Interfacial charge regulation of protein blocking layers in transistor biosensor for direct measurement in serum.

Authors:  Sungwook Park; Minsoo Kim; Dongkap Kim; Seok Ho Kang; Kwan Hyi Lee; Youngdo Jeong
Journal:  Biosens Bioelectron       Date:  2019-10-10       Impact factor: 10.618

9.  Single-molecule enzyme-linked immunosorbent assay detects serum proteins at subfemtomolar concentrations.

Authors:  David M Rissin; Cheuk W Kan; Todd G Campbell; Stuart C Howes; David R Fournier; Linan Song; Tomasz Piech; Purvish P Patel; Lei Chang; Andrew J Rivnak; Evan P Ferrell; Jeffrey D Randall; Gail K Provuncher; David R Walt; David C Duffy
Journal:  Nat Biotechnol       Date:  2010-05-23       Impact factor: 54.908

10.  A Rapid, Accurate, Single Molecule Counting Method Detects Clostridium difficile Toxin B in Stool Samples.

Authors:  Sadanand Gite; Destiny Archambault; Michael P Cappillino; David Cunha; Victoria Dorich; Tatyana Shatova; Andrew Tempesta; Bruce Walsh; Jessica A Walsh; Adam Williams; James E Kirby; Jayson Bowers; Don Straus
Journal:  Sci Rep       Date:  2018-05-30       Impact factor: 4.379

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