Alexei S. Ten

ORCID: 0000-0003-0040-9132
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About
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Research Areas
  • DNA and Biological Computing
  • Viral Infectious Diseases and Gene Expression in Insects
  • Protein purification and stability
  • Photoreceptor and optogenetics research
  • Advanced Proteomics Techniques and Applications
  • Electrowetting and Microfluidic Technologies
  • Advanced biosensing and bioanalysis techniques
  • Innovative Microfluidic and Catalytic Techniques Innovation

Harvard University
2021

Northwestern University
2019

Although information is ubiquitous, and its technology arguably among the highest that humankind has produced, very ubiquity posed new types of problems. Three involve storage (rather than computation) include usage energy, robustness stored over long times, ability to resist corruption through tampering. The difficulty in solving these problems using present methods stimulated interest possibilities available fundamentally different strategies, including molecules. Here we show mixtures...

10.1021/acscentsci.9b00210 article EN publisher-specific-oa ACS Central Science 2019-05-01

The rapidly increasing use of digital technologies requires the rethinking methods to store data. This work shows that data can be stored in mixtures fluorescent dye molecules, which are deposited on a surface by inkjet printing, where an amide bond tethers molecules surface. A microscope equipped with multichannel fluorescence detector distinguishes individual dyes mixture. presence or absence these mixture encodes binary information (i.e., "0" "1"). instead sequence-defined macromolecules,...

10.1021/acscentsci.1c00728 article EN cc-by ACS Central Science 2021-10-13

Laundry detergent formulations include proteases to digest and clean protein-based stains. Methods that can profile protease activity specificity in detergents could be important guiding the development of engineered for these applications. The work reported here uses peptide arrays with analysis by self-assembled monolayers matrix-assisted laser desorption/ionization (SAMDI) mass spectrometry analyze across a 324-peptide library five commercial laundry detergents. results showed differences...

10.1021/acs.iecr.9b00057 article EN Industrial & Engineering Chemistry Research 2019-06-04
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