The possible presence of matrix effect is one of the main concerns in liquid chromatography-mass spectrometry (LC-MS)-driven bioanalysis due to its impact on the reliability of the obtained quantitative results. Here we propose an approach to correct for the matrix effect in LC-MS with electrospray ionization using postcolumn infusion of eight internal standards (PCI-IS). We applied this approach to a generic ultraperformance liquid chromatography-time-of-flight (UHPLC-TOF) platform developed for small-molecule profiling with a main focus on drugs. Different urine samples were spiked with 19 drugs with different physicochemical properties and analyzed in order to study matrix effect (in absolute and relative terms). Furthermore, calibration curves for each analyte were constructed and quality control samples at different concentration levels were analyzed to check the applicability of this approach in quantitative analysis. The matrix effect profiles of the PCI-ISs were different: this confirms that the matrix effect is compound-dependent, and therefore the most suitable PCI-IS has to be chosen for each analyte. Chromatograms were reconstructed using analyte and PCI-IS responses, which were used to develop an optimized method which compensates for variation in ionization efficiency. The approach presented here improved the results in terms of matrix effect dramatically. Furthermore, calibration curves of higher quality are obtained, dynamic range is enhanced, and accuracy and precision of QC samples is increased. The use of PCI-ISs is a very promising step toward an analytical platform free of matrix effect, which can make LC-MS analysis even more successful, adding a higher reliability in quantification to its intrinsic high sensitivity and selectivity.
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http://dx.doi.org/10.1021/ac504268y | DOI Listing |
Curr Med Chem
January 2025
Shree S. K. Patel College of Pharmaceutical Education and Research, Ganpat University, Kherva, 384012, India.
Aims: This study aimed to develop Imatinib Mesylate (IMT)-loaded Poly Lactic-co-Glycolic Acid (PLGA)-D-α-tocopheryl polyethylene glycol succinate (TPGS)- Polyethylene glycol (PEG) hybrid nanoparticles (CSLHNPs) with optimized physicochemical properties for targeted delivery to glioblastoma multiforme.
Background: Glioblastoma multiforme (GBM) is the most destructive type of brain tumor with several complications. Currently, most treatments for drug delivery for this disease face challenges due to the poor blood-brain barrier (BBB) and lack of site-specific delivery.
ACS Appl Mater Interfaces
January 2025
Institute of Soft-matter and Advanced Functional Materials, Gansu Province Carbon New Material Industry Technology Center, School of Materials and Energy, Lanzhou University, Lanzhou 730000, China.
Hexagonal boron nitride (h-BN), with excellent thermal conductivity and insulation capability, has garnered significant attention in the field of electronic thermal management. However, the thermal conductivity of the h-BN-enhanced polymer composite material is far from that expected because of the insurmountable interfacial thermal resistance. In order to realize the high thermal conductivity of polymer composite thermal interface materials, herein, an in situ exfoliation method has been employed to prepare a boron nitride nanosheet-graphene (BNNS-Gr) hybrid filler.
View Article and Find Full Text PDFArterioscler Thromb Vasc Biol
January 2025
British Heart Foundation Centre of Research Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, United Kingdom. (M.W., M.F., R.O., L.S., M.M., C.M.S.).
Background: The ECM (extracellular matrix) provides the microenvironmental niche sensed by resident vascular smooth muscle cells (VSMCs). Aging and disease are associated with dramatic changes in ECM composition and properties; however, their impact on the VSMC phenotype remains poorly studied.
Methods: Here, we describe a novel in vitro model system that utilizes endogenous ECM to study how modifications associated with age and metabolic disease impact the VSMC phenotype.
ACS EST Air
January 2025
Department of Earth Sciences, University of Southern California, Los Angeles, California 90089, United States.
Computational models of atmospheric composition are not always physically consistent. For example, not all models respect fundamental conservation laws such as conservation of atoms in an interconnected chemical system. In well performing models, these unphysical deviations are often ignored because they are frequently minor, and thus only need a small nudge to perfectly conserve mass.
View Article and Find Full Text PDFAnn Transl Med
December 2024
Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Background: Osteoarthritis (OA) is increasingly thought to be a multifactorial disease in which sustained gut inflammation serves as a continued source of inflammatory mediators driving degenerative processes at distant sites such as joints. The objective of this study was to use the equine model of naturally occurring obesity associated OA to compare the fecal microbiome in OA and health and correlate those findings to differential gene expression synovial fluid (SF) cells, circulating leukocytes and cytokine levels (plasma, SF) towards improved understanding of the interplay between microbiome and immune transcriptome in OA pathophysiology.
Methods: Feces, peripheral blood mononuclear cells (PBMCs), and SF cells were isolated from healthy skeletally mature horses (n=12; 6 males, 6 females) and those with OA (n=6, 2 females, 4 males).
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