Mass Activated Droplet Sorting (MADS) Enables High-Throughput Screening of Enzymatic Reactions at Nanoliter Scale

被引:128
作者
Holland-Moritz, Daniel A. [1 ]
Wismer, Michael K. [2 ]
Mann, Benjamin F. [3 ]
Farasat, Iman [4 ]
Devine, Paul [3 ]
Guetschow, Erik D. [3 ]
Mangion, Ian [3 ]
Welch, Christopher J. [5 ]
Moore, Jeffrey C. [3 ]
Sun, Shuwen [3 ]
Kennedy, Robert T. [1 ]
机构
[1] Univ Michigan, Dept Chem, 930 N Univ, Ann Arbor, MI 48109 USA
[2] Merck & Co Inc, Sci Engn & Design, 2000 Galloping Hill Rd, Kenilworth, NJ 07033 USA
[3] Merck & Co Inc, Proc Res & Dev, 126 E Lincoln Ave, Rahway, NJ 07065 USA
[4] Janssen R&D, 1400 McKean Rd, Spring House, PA 19477 USA
[5] Indiana Consortium Analyt Sci & Engn, Indianapolis, IN 46202 USA
基金
美国国家科学基金会;
关键词
biocatalysis; droplet microfluidics; high-throughput screening; mass spectrometry; microreactors; FLUORINATED PICKERING EMULSIONS; MICROFLUIDICS; PICOLITER; PLUGS; MICRODROPLETS; SPECTROSCOPY; SPECTROMETRY; TRANSPORT; EVOLUTION;
D O I
10.1002/anie.201913203
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Microfluidic droplet sorting enables the high-throughput screening and selection of water-in-oil microreactors at speeds and volumes unparalleled by traditional well-plate approaches. Most such systems sort using fluorescent reporters on modified substrates or reactions that are rarely industrially relevant. We describe a microfluidic system for high-throughput sorting of nanoliter droplets based on direct detection using electrospray ionization mass spectrometry (ESI-MS). Droplets are split, one portion is analyzed by ESI-MS, and the second portion is sorted based on the MS result. Throughput of 0.7 samples s(-1) is achieved with 98 % accuracy using a self-correcting and adaptive sorting algorithm. We use the system to screen approximate to 15 000 samples in 6 h and demonstrate its utility by sorting 25 nL droplets containing transaminase expressed in vitro. Label-free ESI-MS droplet screening expands the toolbox for droplet detection and recovery, improving the applicability of droplet sorting to protein engineering, drug discovery, and diagnostic workflows.
引用
收藏
页码:4470 / 4477
页数:8
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