Neuroinflammatory injury is one of the typical brain injuries after the body is exposed to radiation. It is mainly characterized by the release of inflammatory factors by activated microglia and peripherally invading lymphocytes. To provide early warning for nerve injury and early diagnosis of neurodegenerative diseases, it is of great significance to explore the biomarker candidates of neuroinflammatory injury. This study focused on the screening of small molecular biomarker candidates in peripheral blood from rats with neuroinflammatory injury induced by whole-brain irradiation. The rats were exposed to 0, 10, 10 Â 3, and 30 Gy of cobalt-60 γ-rays. Serum was collected on the 30th day after exposure and analyzed using reversed-phase liquid chromatography and hydrophilic interaction liquid chromatography coupled with highresolution mass spectrometry based on untargeted metabolomics. Biomarker candidates were investigated by comparing the 0-Gy group and three irradiation groups using univariate statistical analysis, principal component analysis, and orthogonal partial least squares discriminant analysis. Eleven biomarker candidates were putatively identified, and four major altered metabolic pathways were found. The screened small molecular biomarker candidates could be used as a useful supplement to traditional biomacromolecule markers and may be valuable for radiation protection, target therapy of inflammatory injury, and discovery of new target drugs for the prevention and cure of related neurodegenerative diseases.
Except for conventional functions, special textiles doped with nanoscale particles have shown quite attractive properties, such as antibacterial activity, deodorization, hydrophobicity, and ultraviolet/electromagnetic protection. However, facile and reliable methods for quality assessment of those functional nano-textiles are remarkably demanded for market surveillance and consumer protection. Herein, a novel detection method of silver in textiles was established for the comprehensive detection and a practical flow chart was also demonstrated as an experimental pathway including pretreatment, qualitative and quantitative analysis. The optimal ashing parameter (450°C for 1 h) in the pretreatment process was explored to improve detection sensitivity. The qualitative analysis was performed through X-ray diffraction for crystallinity, scanning electron microscopy for morphology, and energy-dispersive X-ray spectroscopy (EDS) for elements. The real existent status of the silver components could be decided via the flow chart. As shown with the detected sample, the content was calculated by the weight loss at 1050–1500°C from thermogravimetric analysis measurement and the accuracy of the quantitative process was also checked via inductively coupled plasma mass spectrometry. Finally, the detection limit of the method was investigated up to μg/g. The obvious advantage of the reported method was facile and reliable to achieve comprehensive identification from the dimension scale and crystal form to the component. Moreover, this analytical strategy could be also applied for the detection of other nanoscale metals or metal oxides in functional textiles.
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