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Electroaddressing of Cell Populations by Co‐Deposition with Calcium Alginate Hydrogels
Author(s) -
Shi XiaoWen,
Tsao ChenYu,
Yang Xiaohua,
Liu Yi,
Dykstra Peter,
Rubloff Gary W.,
Ghodssi Reza,
Bentley William E.,
Payne Gregory F.
Publication year - 2009
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.200900026
Subject(s) - calcium alginate , self healing hydrogels , calcium , quorum sensing , materials science , biophysics , anode , autoinducer , electrode , nanotechnology , chemical engineering , bacteria , chemistry , biology , biofilm , polymer chemistry , metallurgy , genetics , engineering
Electroaddressing of biological components at specific device addresses is attractive because it enlists the capabilities of electronics to provide spatiotemporally controlled electrical signals. Here, the electrodeposition of calcium alginate hydrogels at specific electrode addresses is reported. The method employs the low pH generated at the anode to locally solubilize calcium ions from insoluble calcium carbonate. The solubilized Ca 2+ can then bind alginate to induce this polysaccharide to undergo a localized sol‐gel transition. Calcium alginate gel formation is shown to be spatially controlled in the normal and lateral dimensions. The deposition method is sufficiently benign that it can be used to entrap the bacteria E. coli . The entrapped cells are able to grow and respond to chemical inducers in their environment. Also, the entrapped cells can be liberated from the gel network by adding sodium citrate that can compete with alginate for Ca 2+ binding. The capabilities of calcium alginate electrodeposition is illustrated by entrapping reporter cells that can recognize the quorum sensing autoinducer 2 (AI‐2) signaling molecule. These reporter cells were observed to recognize and respond to AI‐2 generated from an external bacterial population. Thus, calcium alginate electrodeposition provides a programmable method for the spatiotemporally controllable assembly of cell populations for cell‐based biosensing and for studying cell‐cell signaling.