RSC Advances  

The aim of this study was to evaluate the effect of five varieties on the quality of herbaceous peony tea.

In recent times, there has been considerable interest in utilizing aqueous biphasic systems (ABSs) containing natural deep eutectic solvents (NADESs) for the extraction of various substances.

To address the issue of the common illegal addition of Atenolol in Panax notoginseng, we propose an approach that realizes multivariate calibration transfer between different particle sizes based on spectral data fusion.

Analytical technique for monitoring skin-emitted metabolites to diagnose diseases.

A user-friendly LC-MS data-independent acquisition-based strategy using open software for access to the flavonoid content of complex mixtures.

Near infrared switch-on emission of SO3C7 in albumin allows imaging behind dark fabric which can inhibit latent blood stain detection.

The waste management industry uses an increasing number of mathematical prediction models to accurately forecast the behavior of organic pollutants during catalytic degradation.

SERS analysis of filtrate portions of blood serum samples of tuberculosis patients obtained by centrifugal filtration utilizing 50 kDa devices.

This study used portable near-infrared spectroscopy and various preprocessing techniques to explore universal methods. The spectraformer model showed superior performance among the compared machine learning models.

This study aims to develop reliable QSAR models for 149 VOCs across a broad temperature range. The models were constructed based on the combination of SMILES and temperature as an experimental condition, namely as quasi-SMILES.

Enhancement of the resonance Rayleigh scattering of eosin Y upon complex formation with prucalopride (PCP).

Sawdust molecular spectra are used as input data for the machine-learning algorithm to classify/identify different wood species.

SERS study of interaction of organometallic compound bis(1,3-dihexylimidazole-2-yl) silver(I) hexafluorophosphate (V) with the biofilm of Escherichia coli.

In this review, works on the on-site detection of illegal drugs in recent years are summarised and discussed, most of which were published within the past five years.

In this study, PLim-DAN was synthesized and subsequently modified with MWCNTs and CeO₂ NPs. The electroactivity of the developed nanocomposites was tested as an electrochemical sensor to measure the concentration of Cr³⁺ ions in phosphate buffers.

Determining asphyxia as the cause of death is difficult, but Raman spectroscopy combined with machine learning may serve as a simple and promising approach.

SERS with silver nanoparticles analyzes effects of Siphoviridae bacteriophages on bacteria (Staphylococcus aureus), providing insights into phage-bacteria interactions.

A simple and rapid method for DOC interference correction based on an equivalent concentration offset method was proposed to address the challenging issue of DOC interference in nitrate detection in aquatic environments.

Machine learning-powered in silico prediction of small molecule toxicity: a stacked model approach.

Understanding archaeological leather degradation helps inform economies, crafts, and technologies of historic communities.

With the multi-modal approach combining ATR-FTIR and SERS, we achieved an extended spectral range for molecular fingerprint detection of RNA biomarkers. Machine learning results shows 91.6% blind test accuracy for label-free breast cancer diagnosis.

A simple and reliable QSPR model for the retention indices (RIs) of 273 identified volatile organic compounds (VOCs) of different types of pepper was developed with CORAL software. The proposed theoretical model is applied to estimate the retention indices (RIs) of new VOCs.

Dapoxetine (DPX) belongs to the selective serotonin reuptake inhibitor (SSRI) class and functions by blocking the serotonin transporter and increasing serotonin activity, thereby delaying ejaculation.

Phenolic compounds are toxic chemical pollutants present in water.

Our present study focuses on examining the thermal, structural and luminescent characteristics of barium and samarium oxide additions on metaphosphate glasses. Results indicate the current glasses may be a good candidate for displaying colours or visible lasers in the red-orange spectral region.