A SERS Platform for Rapid Detection of Drug Resistance of Non- Using FeO@PEI and Triangular Silver Nanoplates.

PURPOSE

infection has a high mortality rate, and the increasing prevalence of non- drug resistance in recent years poses a potential threat to human health. Non- has long culture cycles, and its firm cell walls making it difficult to isolate DNA for sequencing.

MATERIALS AND METHODS

FeO@PEI (PEI, polyvinyl imine) was mixed with clinical samples to form FeO@PEI@non- albicans and enriched them with magnets. Triangular silver nanoplates enhanced the surface-enhanced Raman scattering (SERS) signal. SERS was used to detect the fingerprint spectrum of . Then, orthogonal partial least squares discriminant analysis (OPLS-DA) was used to analyze the drug resistance of non- albicans.

RESULTS

SERS combined with OPLS-DA could well analyze the drug resistance of non- albicans. Through 10-fold-cross validation, the accuracy of training and test data is greater than 99%, indicating that the model has good classification ability. We used SERS for the first time to detect the drug resistance of non- albicans directly.

CONCLUSION

This approach can be utilized without causing damage to the cell wall and can be accomplished in as little as 90 minutes. It can provide timely guidance for the treatment of patients with good clinical application potential.