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Updated: Jan 18, 2026

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
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从体积到质量:用光电离子探测器和机器学习转换挥发性有机化合物检测

Yunfei Cai1,2, Xiang Che1, Yusen Duan1

  • 1Shanghai Environment Monitoring Center, Shanghai 200235, China.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

本研究引入了一种使用光电离探测器和机器学习的动态校准框架,用于工业园区中挥发性有机化合物 (VOC) 的准确实时监测. 与传统技术相比,新方法可节省大量成本,响应时间更快.

关键词:
工业园区的工业园区质量度转换量度转换随机的森林随机的森林实时监控实时监控

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