Nanoprobe-based biosensors have emerged as a promising alternative to conventional analytical methods, offering advantages in rapid detection, cost-effectiveness, and no need for professional participation. However, challenges in nanoprobe complexity and instability impede biosensor standardization, frequently resulting in unreliable results. To address these limitations, we present a novel signal-compensated

The quantitative distribution of various clusters in molten binary K2O·nTiO2 (n = 0.5, 1, 2, 3, 4, and 6) was investigated by in situ high-temperature Raman spectroscopy and quantum chemical (QC) ab initio calculation. A series of titanium-oxygen model clusters were constructed, and their symmetric stretching vibrational bands and the corresponding Raman scattering cross-sections of titanium nonbridging

For each capillary sample, three SERS spectra were obtained from different positions The three spectra from each sample were preprocessed (spike removal, baseline correction, normalization) These three spectra were averaged to create one representative spectrum per sample The samples (not individual spectra) were randomly divided into training (70%) and testing (30%) sets This procedure was repeated

This article discusses current research on the detection of urinary cancers using surface-enhanced Raman spectral analysis of human serum by Song et al., which was published in the Analytical Chemistry journal. Despite the high performance of the suggested approach (ROC AUC of 0.94), the demonstrated performance could be treated as overoptimistic because of an overestimation of classification models