H. Barzani

Metabolic memory in diabetes: decoding the molecular basis of persistent cellular programming for next-generation therapeutic strategies

Molecular Imaging Technologies in Analytical Chemistry: A Critical Review of Mass Spectrometry Imaging, Raman Imaging, Imaging Mass Cytometry, and Emerging Spatial Analytical Platforms.

Molecular imaging technologies have transformed analytical chemistry by enabling molecular identification and spatial localization within intact biological specimens. Advances in mass spectrometry imaging (MSI), Raman imaging, imaging mass cytometry (IMC), and emerging spatial analytical platforms have expanded the inv...

Emerging analytical techniques for tamoxifen and metabolite quantification in diverse matrices.

This review critically evaluates emerging analytical techniques for TMX and its metabolites, focusing on chromatographic, electrochemical, and spectroscopic methods, and comparing their performance in terms of sensitivity, selectivity, reproducibility, cost, and matrix applicability.

Circulating Oxidative Stress and Antioxidant Biomarkers in Epilepsy: Temporal Changes at 1 and 2 h After Seizures

The Redox Imbalance in Cancer: Targeting Glutathione and Thioredoxin Systems to Enhance Chemotherapy Response

Comprehensive evaluation of analytical methods for determination of ansamycins across diverse matrices.

Ansamycins (ANs), including rifampicin (RIF), rifabutin (RFB), rifapentine (RPT), rifalazil (RFL), and rifaximin (RFX), are structurally distinctive macrocyclic antibiotics whose analytical determination is complicated by very low systemic exposure (especially RFX), high protein binding and intracellular sequestration...

Analytical determination of meloxicam and tenoxicam: matrix-dependent challenges, emerging technologies, and sustainable future perspectives.

Future progress should shift from isolated improvements in detection sensitivity toward matrix-adaptive, digitally assisted, sustainability-aware analytical systems that integrate automated sample preparation, intelligent data interpretation, robust validation, and lifecycle-based performance assessment.

Dyslipidaemia: Pathophysiology, Epidemiology, Diagnostic Advances, and Emerging Therapeutic Strategies

This review elucidates the complex pathophysiology, epidemiological dynamics, and genetic architectures defining dyslipidaemia, delineating primary hereditary molecular defects from secondary acquired etiologies and discusses persistent barriers to patient adherence and the transformative potential of precision medicin...

AI-assisted sustainable pharmaceutical bioanalysis: critical review of LC-MS, matrix effects, and white analytical chemistry.

This critical review comprehensively evaluates the current state of pharmaceutical bioanalysis by examining emerging LC-MS technologies, sustainable analytical strategies, and the growing role of artificial intelligence (AI) and machine learning (ML) in analytical optimization, spectral interpretation, biomarker discov...