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Biology subjects

Chen, K.-L.

Publications and source records attributed to Chen, K.-L..

2 recordsLinked to original sources

Shape-shifting microgel automata controlled by DNA sequence instructions

Controlling material shapes using information-bearing molecular signals is central to the creation of autonomous, reconfigurable soft devices. While physical and chemical stimuli can direct simple material swelling, bending, or folding, it has been challenging to direct multi-step shape-change programs crucial for complex, robotic tasks. Here, we demonstrate gel automata-- sub-millimeter, photopatterned, highly swellable DNA gels--whose parts grow or shrink in response to easily designed DNA activator sequences, allowing for precisely controlled device articulation. We design and fabricate gel automata that reversibly transform between different letter shapes, and use neural networks to design automata that transform into every even or every odd numeral via designed reconfiguration programs. This sequential and repetitive metamorphosis of materials via chemical reorganization could dramatically advance our ability to manipulate micro-particles, cells, and tissues. One-Sentence SummaryPhotopatterned microgels follow sequences of DNA instructions to transform between complex, meaningful shapes such as letters and numerals.

bioengineering↗

Antimicrobial Susceptibility Test by Surface-enhanced Raman Scattering of Bacterial Metabolites directly from Positive Blood Cultures

Effective management of sepsis requires timely administration of appropriate antibiotics; therefore, a reliable and rapid antimicrobial susceptibility test (AST) is crucial. To meet clinical needs, we developed a novel AST, referred to as SERS-AST, based on the surface-enhanced Raman Scattering (SERS) technology. In this study, we applied SERS-AST to eight most common pathogens causing bacteremia, including Staphylococcus aureus, Staphylococcus epidermidis, Enterococcus faecalis, E. faecium, Escherichia coli, Enterobacter cloacae, Klebsiella pneumoniae, and Acinetobacter baumannii. Seven different antibiotics were tested, including oxacillin, levofloxacin, vancomycin, ampicillin, cefotaxime, ceftazidime, levofloxacin, and imipenem. SERS-AST determines antibiotic susceptibility of bacteria directly from positive blood cultures based on variations in bacterial SERS signals derived from secreted purines and their derivatives. The whole process could be completed within 4 hours, and the agreement rates between SERS-AST and VITEK 2 results were 96% for Gram-positive bacteria and 97% for Gram-negative bacteria.

microbiology↗