TY - JOUR
T1 - Integrated microfluidic platform for rapid antimicrobial susceptibility testing and bacterial growth analysis using bead-based biosensor via fluorescence imaging
AU - Sabhachandani, Pooja
AU - Sarkar, Saheli
AU - Zucchi, Paola C.
AU - Whitfield, Betsy A.
AU - Kirby, James E.
AU - Hirsch, Elizabeth B.
AU - Konry, Tania
N1 - Publisher Copyright:
© 2017, Springer-Verlag GmbH Austria.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - The paper describes a droplet-based microfluidic method for phenotypic-based antimicrobial susceptibility testing (AST). In particular, this micro-droplet-based phenotypic assay evaluates susceptibility of different bacterial strains towards antibiotics by tracking effects on individual bacterial cells, including changes in bacterial cell number and morphology. The platform was validated by applying the method to test the responses of E. coli ATCC 25922 and 6937 (a clinical isolate), in spiked urine samples at a concentration of 5 × 104 cfu mL−1, to the antibiotics ceftazidime and levofloxacin. Both E. coli strains showed dose-dependent inhibition of bacterial replication and morphological alteration. These correlated well with minimal inhibitory concentrations determined by the reference broth microdilution method. Discrete bacterial divisions and morphological changes were observed within 20 min of on-chip incubation, demonstrating performance of rapid AST directly on urine samples. As proof-of-concept, specific bead-based biosensors were tested for capture and detection of E. coli for on-bead proliferation. The method has the attractive feature of allowing the detection of at least one bacterium per bead in less than 30 min. It can potentially be used to isolate a specific bacterial strain directly from patient urine samples for AST monitoring. [Figure not available: see fulltext.].
AB - The paper describes a droplet-based microfluidic method for phenotypic-based antimicrobial susceptibility testing (AST). In particular, this micro-droplet-based phenotypic assay evaluates susceptibility of different bacterial strains towards antibiotics by tracking effects on individual bacterial cells, including changes in bacterial cell number and morphology. The platform was validated by applying the method to test the responses of E. coli ATCC 25922 and 6937 (a clinical isolate), in spiked urine samples at a concentration of 5 × 104 cfu mL−1, to the antibiotics ceftazidime and levofloxacin. Both E. coli strains showed dose-dependent inhibition of bacterial replication and morphological alteration. These correlated well with minimal inhibitory concentrations determined by the reference broth microdilution method. Discrete bacterial divisions and morphological changes were observed within 20 min of on-chip incubation, demonstrating performance of rapid AST directly on urine samples. As proof-of-concept, specific bead-based biosensors were tested for capture and detection of E. coli for on-bead proliferation. The method has the attractive feature of allowing the detection of at least one bacterium per bead in less than 30 min. It can potentially be used to isolate a specific bacterial strain directly from patient urine samples for AST monitoring. [Figure not available: see fulltext.].
KW - Antibiotic susceptibility
KW - Bioassay development
KW - Biosensors
KW - Droplet microfluidics
KW - E. coli
KW - Fluorescence microscopy
KW - Urinary tract infections
UR - http://www.scopus.com/inward/record.url?scp=85029547950&partnerID=8YFLogxK
U2 - 10.1007/s00604-017-2492-9
DO - 10.1007/s00604-017-2492-9
M3 - Article
AN - SCOPUS:85029547950
SN - 0026-3672
VL - 184
SP - 4619
EP - 4628
JO - Microchimica Acta
JF - Microchimica Acta
IS - 12
ER -