Background: If identifying target species is challenging regarding chemical speciation, non-target species present even more significant difficulties. Thus, to improve the performance of the methods, multimodal online coupling involving atomic and molecular mass spectrometry (LC-ICP-MS-ESI-HRMS) is an advance in this direction. Then, this kind of coupling is highlighted in this Tutorial Review, as well as some references emphasizing its potentialities and possible limitations. Some crucial definitions of speciomics, chemical speciation, and others are also included.
Results: The main parameters that influence the coupling of an inductively coupled plasma mass spectrometer with a high-resolution mass spectrometer through a chromatographic system are critically commented on, and a diversity of results is demonstrated by using a turtle liver (Caretta caretta) as a model sample. The parameters were discussed in detail in a step-by-step manner: ICP-MS/MS acquisition modes and instrumental parameters, HRMS acquisition modes and instrumental parameters, and data processing strategies (Full MS - Top N, All Ion Fragmentation - AIF, Parallel Reaction Monitoring - PRM). Additionally, this Tutorial Review also demonstrates a diversity of results through target and non-target analysis.
Significance: Constituting a guide for those who are interested in a non-targeted analysis of molecular non-volatile/semi-volatile compounds, this Tutorial Review presents trans and multidisciplinary proposals for those communities involving chemistry, biochemistry, medicine, biology, environmental, pharmaceutical, food safety, and omics, among others, where metal (also metalloids or semi-metals and non-metals or heteroatoms) and molecular species are necessary for a good understanding of the studied system. This kind of coupling also allows the discovery of novel biological active elemental species in diverse matrices.
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http://dx.doi.org/10.1016/j.aca.2024.343084 | DOI Listing |
BMC Anesthesiol
January 2025
Department of Anesthesiology, Perioperative Medicine and Pain Management, 1611 NW 12, University of Miami, Miami, FL, 33136, USA.
Background: Prolonged tracheal extubation time is defined as an interval ≥ 15 min from the end of surgery to extubation. An earlier study showed that prolonged extubations had a mean 12.4 min longer time from the end of surgery to operating room (OR) exit.
View Article and Find Full Text PDFGlia
January 2025
Department of Chemistry, Purdue University, West Lafayette, Indiana, USA.
Neurological diseases are associated with disruptions in the brain lipidome that are becoming central to disease pathogenesis. Traditionally perceived as static structural support in membranes, lipids are now known to be actively involved in cellular signaling, energy metabolism, and other cellular activities involving membrane curvature, fluidity, fusion or fission. Glia are critical in the development, health, and function of the brain, and glial regulation plays a major role in disease.
View Article and Find Full Text PDFObstet Gynecol
January 2025
Department of Obstetrics and Gynecology, the Division of Urogynecology, and the Department of Anesthesiology and Critical Care Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico.
Objective: To investigate whether yoga and meditation added to usual care improves treatment response in women with interstitial cystitis-bladder pain syndrome.
Methods: This randomized trial compared women with interstitial cystitis-bladder pain syndrome receiving standard care alone (control group) with those receiving standard care plus meditation and yoga (mind-body group). Standard care was defined as behavioral changes or medications recommended by the American Urological Association.
Environ Sci Process Impacts
January 2025
College of Environment, Zhejiang University of Technology, Hangzhou, 310014, P. R. China.
Sci Adv
January 2025
Department of Chemistry, University of Utah, Salt Lake City, UT 84112, USA.
The application of statistical modeling in organic chemistry is emerging as a standard practice for probing structure-activity relationships and as a predictive tool for many optimization objectives. This review is aimed as a tutorial for those entering the area of statistical modeling in chemistry. We provide case studies to highlight the considerations and approaches that can be used to successfully analyze datasets in low data regimes, a common situation encountered given the experimental demands of organic chemistry.
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