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. Author manuscript; available in PMC: 2019 Jan 19.
Published in final edited form as: Biotechnol J. 2018 Aug 26;14(1):e1700750. doi: 10.1002/biot.201700750

Table 3. Selected examples of future technologies for pathogen identification (ID) and antimicrobial susceptibility testing (AST).

Technologies Summary of method Time of AST Direct on patient sample Real MIC POP or CA Automatic or manual References
E-nose Detection of VOCs as an electronic aroma signature to identify bacteria and recently to discriminate MRSA from MSSA NA Yes (urine, breath, positive blood culture) No CA A [114,119,121124]
Flow cytometry Follow the viability of microorganisms, after exposure to antibiotics using dyes that do not permeate the cell walls of healthy bacteria 2–3 h No Yes POP A [140,141]
IMC (isothermal microcalorimetry) Measure the heat as signature of growing cells 3–14 h Yes (urine) Yes POP A [142,143]
Magnetic bead spin Changes in spin of magnetic beads in a magnetic field as a function of the number of bacteria bound <5 h No Yes POP A [144]
NMR spectroscopy Analysis of the bacteria metabolome, using it to identify different bacteria and its antimicrobial susceptibility phenotype. <6 h No Yes POP A [137,138]
fASTest Direct single-cell imaging using microfluidic chip <30 min Yes (urine) Yes POP A [125]
Impedance measurement Measure the electrical response from target bacteria in the presence and absence of antibiotics <90 min Yes (blood) (urine) No POP A [145]
Infrared spectroscopy Discriminate the strains on the basis of their infrared spectra ND No No POP A [149]
Surface-enhanced raman scattering (SERS) Measure the intensity of specific bacteria biomarkers using Raman scattering (SERS) spectra 2 h No Yes POP A [139]

CA, clinically approved; MIC, minimum inhibitory concentration; POP, proof of principle.