The increasing demand of analytical information related to inorganic engineered nanomaterials requires the adaptation of existing techniques and methods, or the development of new ones. The challenge for the analytical sciences has been to consider the nanoparticles as a new sort of analytes, involving both chemical (composition, mass and number concentration) and physical information (e.g. size, shape, aggregation). Moreover, information about the species derived from the nanoparticles themselves and their transformations must also be supplied. Whereas techniques commonly used for nanoparticle characterization, such as light scattering techniques, show serious limitations when applied to complex samples, other well-established techniques, like electron microscopy and atomic spectrometry, can provide useful information in most cases. Furthermore, separation techniques, including flow field flow fractionation, capillary electrophoresis and hydrodynamic chromatography, are moving to the nano domain, mostly hyphenated to inductively coupled plasma mass spectrometry as element specific detector. Emerging techniques based on the detection of single nanoparticles by using ICP-MS, but also coulometry, are in their way to gain a position. Chemical sensors selective to nanoparticles are in their early stages, but they are very promising considering their portability and simplicity. Although the field is in continuous evolution, at this moment it is moving from proofs-of-concept in simple matrices to methods dealing with matrices of higher complexity and relevant analyte concentrations. To achieve this goal, sample preparation methods are essential to manage such complex situations. Apart from size fractionation methods, matrix digestion, extraction and concentration methods capable of preserving the nature of the nanoparticles are being developed. This review presents and discusses the state-of-the-art analytical techniques and sample preparation methods suitable for dealing with complex samples. Single- and multi-method approaches applied to solve the nanometrological challenges posed by a variety of stakeholders are also presented.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.aca.2015.11.008 | DOI Listing |
J Speech Lang Hear Res
January 2025
Department of Psychology, University of Western Ontario, London, Canada.
Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification of language disorders in children.
Method: We first describe the current barriers to clinicians' use of language sample analysis, narrative language sampling approaches, and the data processing stages that precede analysis.
JCO Precis Oncol
January 2025
Sarcoma Translational Research Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
Purpose: Less than 5% of GI stromal tumors (GISTs) are driven by the loss of the succinate dehydrogenase (SDH) complex, resulting in a pervasive DNA hypermethylation pattern that leads to unique clinical features. Advanced SDH-deficient GISTs are usually treated with the same therapies targeting KIT and PDGFRA receptors as those used in metastatic GIST. However, these treatments display less activity in the absence of alternative therapeutic options.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
January 2025
IMAGINE Institute Affiliate, INSERM U1163, Paris, France.
Context: Congenital hypothyroidism (CH) is the most common neonatal endocrine disorder and is chiefly caused by thyroid dysgenesis (CHTD). The inheritance mode of the disease remains complex.
Objectives: Gain insight into the inheritance mode of CHTD.
Anal Chem
January 2025
School of Chemistry and Life Sciences, Jiangsu Key Laboratory for Environmental Functional Materials, Suzhou University of Science and Technology, Suzhou, Jiangsu 215009, China.
Pneumonia is a prevalent acute respiratory infection and a major cause of mortality and hospitalization, and the urgent demand for a rapid, direct, and highly accurate diagnostic method capable of detecting both () and () arises from their prominent roles as the primary pathogens responsible for pneumonia. Herein, two luminescent iridium complexes with nonoverlapping photoluminescence spectra, iridium(III)-bis [4,6-(difluorophenyl)-pyridinato-N,C'] picolinate (abbreviated as Ir-B) and bis (2-(3,5- dimethylphenyl) quinoline-C2,N') (acetylacetonato) iridium(III)) (abbreviated as Ir-R), were unprecedently proposed to construct a novel wavelength-resolved magnetic multiplex biosensor for simultaneous detection of and based on catalytic hairpin assembly (CHA) signal amplification strategy combined with dye-doped silica nanoparticles. Notably, the proposed wavelength-resolved multiplex biosensor not only exhibits a broad linear range from 50 pM to 10 nM but also demonstrates excellent recovery rates for (96.
View Article and Find Full Text PDFPLoS Genet
January 2025
Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Recent statistical approaches have shown that the set of all available genetic variants explains considerably more phenotypic variance of complex traits and diseases than the individual variants that are robustly associated with these phenotypes. However, rapidly increasing sample sizes constantly improve detection and prioritization of individual variants driving the associations between genomic regions and phenotypes. Therefore, it is useful to routinely estimate how much phenotypic variance the detected variants explain for each region by taking into account the correlation structure of variants and the uncertainty in their causal status.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!