Label-free surface-enhanced Raman scattering for clinical applications

Sers Mapping Combined with Chemometrics, for Accurate Quantification of Methotrexate from Patient Samples

“…Combining SERS mapping with multivariate spectral data analysis would notably benefit the field of SERS-based bioanalysis [35]. Biological matrices, like blood or serum, are complex, with variable composition and patient-to-patient differences.…”

“…Biological matrices, like blood or serum, are complex, with variable composition and patient-to-patient differences. Even in the case of the same patient, the sample matrix composition could be influenced by physiological and pathological factors, such as sampling time, food intake, or the presence of an underlying condition [35]. This can entail significant spectral variations in terms of both peak intensity and peak (dis)appearance, making the reliability of a univariate quantitative model low [35].…”

The key role of ergothioneine in label‐free surface‐enhanced Raman scattering spectra of biofluids: a retrospective re‐assessment of the literature

“…The surface of the substrate seems to act as a sort of ‘spectroscopic filter’ and greatly limits the types of biofluid components detected by SERS. Consequently, the LF‐SERS spectrum of a biochemically complex sample is always an extremely simplified representation of that analysed sample [12]. For instance, all most intense bands in the LF‐SERS spectrum of serum or plasma obtained with a NIR laser (excitation at 785 nm) on most commonly used substrates can be attributed to just about few metabolites out of more than 4000 metabolites identified in those biofluids [13], and a similar situation holds for other biofluids [14‐16].…”