TiO2/MXene-Assisted LDI-MS for Urine Metabolic Profiling in Urinary Disease

Cancer remains an intractable medical problem. Rapid diagnosis and identification of cancer are critical to differentiate it from nonmalignant diseases. High-throughput biofluid metabolic analysis has potential for cancer diagnosis. Nevertheless, the present metabolite analysis method does not meet the demand for high-throughput screening of diseases. Herein, a high-throughput, cost-effective, and noninvasive urine metabolic profiling method based on TiO₂/MXene-assisted laser desorption/ionization mass spectrometry (LDI-MS) is presented for the efficient screening of bladder cancer (BC) and nonmalignant urinary disease. Combined with machine learning, TiO₂/MXene-assisted LDI-MS enables high diagnostic accuracy (96.8%) for the classification of patient groups (including 47 BC and 46 ureteral calculus (UC) patients) from healthy controls (113 cases). In addition, BC patients can also be identified from noncancerous UC individuals with an accuracy of 88.3% in the independent test cohort. Furthermore, metabolite variations between BC and UC individuals are investigated based on relative quantification, and related pathways are also discussed. These results suggest that this method, based on urine metabolic patterns, provides a potential tool for rapidly distinguishing urinary diseases and it may pave the way for precision medicine.     

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数字化制模技术是将三维CAD模型直接转化成为铸造用模的新技术。文中介绍了华中科技大学开发的HRP系列数字化制模技术的原理及制模工艺。与传统制模方法相比 ,具有制模速度快、精度高、质量好、价格便宜等优点。文中还以制作轿车制动器卡钳体模样、搅拌叶片模样、蜗壳凸样为例说明了运用数字化制模新技术的优点     

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ＥＦＦＥＣＴＯＦＳＴＲＥＡＭＬＩＮＥＣＵＲＶＡＴＵＲＥＡＮＤＳＯＭＥＯＴＨＥＲＣＯＮＤＩＴＩＯＮＳＯＮＴＨＥＴＵＲＢＵＬＥＮＴＳＴＲＵＣＴＵＲＥＳＩＮＴＨＥＯＴＨＥＲＲＥＧＩＯＮＯＦＡＮＯＢＳＴＡＣＬＥＬｉｕＳｈｉ－ｈｅ（ＷｕｈａｎＵｎｉｖｅｒｓｉｔ...     

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某半导体产品的设计和快速实现研究

研究了产品开发及快速实现过程中任务获取、任务分配、进度的协调、信息传输等相关问题,并以某半导体产品为例,进行了产品的设计和快速实现,为缩短产品开发和上市周期、提高产品的市场竞争力积累经验。     

Structure of rapidly solidified aluminum alloys

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