TY - JOUR

T1 - Infrared spectroscopy coupled with a dispersion model for quantifying the real-time dynamics of kanamycin resistance in artificial microbiota

AU - Jin, Naifu

AU - Paraskevaidi, Maria

AU - Semple, Kirk T

AU - Martin, Francis Luke

AU - Zhang, Dayi

N1 - This document is the Accepted Manuscript version of a Published Work that appeared in final form in Analytical Chemistry, copyright ©2017 American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see http://pubs.acs.org/doi/abs/10.1021/acs.analchem.7b01765

PY - 2017/9/19

Y1 - 2017/9/19

N2 - Over-usage of antibiotics leads to the widespread induction of antibiotic resistance genes (ARGs). Developing an approach to allow real-time monitoring and fast prediction of ARGs dynamics in clinical or environmental samples has become an urgent matter. Vibrational spectroscopy is potentially an ideal technique towards the characterization of the microbial composition of microbiota as it is non-destructive, high-throughput and label-free. Herein, we employed attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and developed a spectrochemical tool to quantify the static and dynamic composition of kanamycin resistance in artificial microbiota to evaluate microbial antibiotic resistance. Second order differentiation was introduced in identifying the spectral biomarkers, and principal component analysis followed by linear discriminant analysis (PCA-LDA) was used for the multivariate analysis of the entire spectral features employed. The calculated results of the mathematical dispersion model coupled with PCA-LDA showed high similarity to the designed microbiota structure, with no significant difference (P >0.05) in the static treatments. Moreover, our model successfully predicted the dynamics of kanamycin resistance within artificial microbiota under kanamycin pressures. This work lends new insights into the potential role of spectrochemical analyses in investigating the existence and trends of antibiotic resistance in microbiota.

AB - Over-usage of antibiotics leads to the widespread induction of antibiotic resistance genes (ARGs). Developing an approach to allow real-time monitoring and fast prediction of ARGs dynamics in clinical or environmental samples has become an urgent matter. Vibrational spectroscopy is potentially an ideal technique towards the characterization of the microbial composition of microbiota as it is non-destructive, high-throughput and label-free. Herein, we employed attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and developed a spectrochemical tool to quantify the static and dynamic composition of kanamycin resistance in artificial microbiota to evaluate microbial antibiotic resistance. Second order differentiation was introduced in identifying the spectral biomarkers, and principal component analysis followed by linear discriminant analysis (PCA-LDA) was used for the multivariate analysis of the entire spectral features employed. The calculated results of the mathematical dispersion model coupled with PCA-LDA showed high similarity to the designed microbiota structure, with no significant difference (P >0.05) in the static treatments. Moreover, our model successfully predicted the dynamics of kanamycin resistance within artificial microbiota under kanamycin pressures. This work lends new insights into the potential role of spectrochemical analyses in investigating the existence and trends of antibiotic resistance in microbiota.

U2 - 10.1021/acs.analchem.7b01765

DO - 10.1021/acs.analchem.7b01765

M3 - Journal article

C2 - 28809543

VL - 89

SP - 9814

EP - 9821

JO - Analytical Chemistry

JF - Analytical Chemistry

SN - 0003-2700

IS - 18

ER -