超低温自动化样本储存系统
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1.05亿元!上海交通大学采购大批仪器
仪器信息网· 2025-10-19 03:57
Core Insights - Shanghai Jiao Tong University has announced procurement intentions for 32 items of laboratory equipment with a total budget of 105 million yuan, expected to be purchased between July and October 2025 [1][2][3] Procurement Overview - The procurement includes advanced instruments such as Liquid Chromatography-Mass Spectrometry (LC-MS), multi-channel protein purification systems, and automated high-throughput protein processing systems, among others [3][4][5] - The total budget for these instruments is 105 million yuan, indicating significant investment in research capabilities [2][3] Specific Equipment Details - **Multi-channel Protein Purification System**: This system enhances the efficiency and scale of protein purification by allowing simultaneous processing of multiple samples [4] - **Automated High-Throughput Protein Processing System**: This advanced equipment automates the entire workflow from sample processing to result analysis, significantly improving research efficiency in biopharmaceuticals and clinical diagnostics [5] - **Liquid Chromatography-Mass Spectrometry (LC-MS)**: A critical instrument for various analytical applications, it includes components such as ultra-high-performance liquid chromatography and triple quadrupole mass spectrometry [8] Additional Procurement Items - The procurement list includes various other instruments such as ultra-low temperature automated sample storage systems, microbial enzyme and metabolite high-throughput screening workstations, and advanced imaging systems [6][9][10] - Specific budget allocations for some items include 1.025 million yuan for the automated high-throughput protein processing system and 590,000 yuan for the microbial enzyme and metabolite screening workstation [8][9] Future Implications - The planned procurement reflects a strategic move by Shanghai Jiao Tong University to enhance its research infrastructure, particularly in the fields of microbiology and biopharmaceuticals, which may lead to increased research output and innovation [1][3][6]