量子弱磁检测仪
生物磁信号、芯片工作电流磁场等通常具有强度极弱、空间尺度小且易受环境干扰的特点，传统磁传感器难以同时兼顾高灵敏度、高空间分辨率与常温无损检测。发展SERF原子磁强计和金刚石NV色心的量子弱磁检测仪器，有助于突破极弱磁场测量与微区磁场成像的技术瓶颈，为心磁及多生物标志物检测、芯片缺陷定位和精密测量提供自主、高灵敏、非接触的检测手段，因此具有重要的科学意义和应用价值。
量子弱磁检测仪器面向生物医学、芯片检测和精密测量中的微弱磁场感知需求，依靠SERF原子磁强计与金刚石NV色心两类量子传感技术，利用SERF传感器实现心磁等极弱磁信号的高灵敏度测量，利用NV色心宽场显微镜实现微区磁场、电流路径及芯片缺陷的高空间分辨成像，并进一步结合磁屏蔽、磁场补偿、多通道采集、微流控和智能分析方法，研制面向多生物标志物检测与心磁测量的生物弱磁仪器，形成从量子传感器、弱磁信号采集到成像分析和应用验证的完整技术体系。
研究内容
1. SERF弱磁传感器
开展原子气室、激光激发与探测、温度控制、磁场补偿及闭环控制等关键技术研究，分析激光功率、偏振状态、原子密度和剩余磁场等因素对传感器性能的影响。构建单通道及多通道SERF弱磁传感器，提高系统的灵敏度、稳定性和一致性，为心磁等极弱生物磁信号测量提供核心传感单元。
2. 基于NV色心的弱磁检测
利用金刚石NV色心自旋能级对磁场的响应，研究激光激发、微波调控、ODMR信号采集和磁场反演方法，搭建金刚石NV宽场显微镜。实现微弱磁场的二维成像和局部电流路径分析，重点研究磁场灵敏度、空间分辨率、样品与金刚石间距以及温度漂移等因素，为微电流成像、PCB缺陷检测和芯片失效分析提供无损检测手段。
3. 生物弱磁检测仪器
面向疾病标志物检测和心脏磁信号测量，开展量子弱磁检测仪器集成研究。在多标志物检测方面，结合磁性标记、微流控芯片、弱磁传感阵列和特征识别算法，实现多种生物标志物的并行检测与定量分析；在心磁检测方面，构建磁屏蔽、磁场补偿、多通道采集和信号处理系统，提取具有诊断价值的心磁波形及空间分布特征。
最终形成覆盖“极弱磁场测量、微区磁场成像和生物医学检测”的量子弱磁仪器技术体系，推动量子传感技术由传感器原理验证向系统集成和实际应用发展。
参考文献
[1] Tian X., Bao B., Wang R., Li D. An FSM-Assisted High-Accuracy Autonomous Magnetic Compensation Optimization Method for Dual-Channel SERF Magnetometers Used in Weak Biomagnetic Signal Measurement. Sensors, 2025, 25: 3690.
[2] B. Bao, Y. Hua, R. Wang, and D. Li, “Quantum-Based Magnetic Field Sensors for Biosensing,” Advanced Quantum Technologies, vol. 6, no. 5, Art. no. 2200146, 2023.
[3] B. Bao, X. Tian, R. Wang, and D. Li, “A Novel Method for Multiple Cardiovascular Disease Biomarker Detection Using a SERF-Based Microfluidic Platform,” Sensors and Actuators B: Chemical, vol. 415, Art. no. 135989, 2024.
[4] B. Bao, X. Tian, R. Wang, and D. Li, “Fully Integrated Microfluidic Platform Coupled with Magnetic Sensing for Rapid Detection of Cardiovascular Disease Biomarkers,” Analytical Chemistry, vol. 97, no. 42, pp. 23280–23289, 2025.
[5] B. Bao, Y. Zhao, X. Tian, R. Wang, and D. Li, “Machine Learning-Enabled SERF-Based Microfluidic Platform for Multiple Cardiovascular Disease Biomarker Detection,” Sensors and Actuators B: Chemical, vol. 446, Art. no. 138739, 2026.
[6] B. Bao, R. Wang, and D. Li, “A SERF-Based Magnetic Scanning Platform for Multiple Cardiovascular Disease Biomarker Detection,” IEEE MEMS 2024, pp. 68–71, 2024.
[7] B. Bao, X. Tian, R. Wang, and D. Li, “A Microfluidic Platform Based on Magnetic Labels for Rapid Mixing, Trapping and Detection of Biomarkers,” IEEE SENSORS 2024, pp. 1–4, 2024.
[8] B. Bao, Y. Zhao, X. Tian, R. Wang, and D. Li, “Machine Learning-Aided Multifunctional Microfluidic Platform with SERF Atomic Magnetometers for Accurate and Sensitive Cardiovascular Biomarker Diagnosis,” Transducers 2025, 2025.
[9] B. Bao, Y. Zhao, R. Wang, and D. Li, “Machine Learning-Enabled Magnetic Microfluidic Platform for Multiple Cardiovascular Biomarker Detection Over an Ultra-Wide Concentration Range,” IEEE MEMS 2026, 2026.