Real Time Analysis of Brain Tissue by Direct Combination of Ultrasonic Surgical Aspiration and Sonic Spray Mass Spectrometry
Real Time Analysis of Brain Tissue by Direct Combination of Ultrasonic Surgical Aspiration and Sonic Spray Mass Spectrometry
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DOI：
10.1021/ac201251s
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发表时间：
2011-10-15
影响因子：
7.4
通讯作者：
Takats, Zoltan
中科院分区：
文献类型：
--
作者：
Schaefer, Karl-Christian;Balog, Julia;Takats, Zoltan
介绍了空腔超声外科吸引器（CUSA）与声波喷雾电离质谱法的直接结合。通过将液化组织碎片直接引入文丘里空气喷射泵，将市售超声手术设备与文丘里易环境声波喷雾电离（V-EASI）源耦合。文丘里空气喷射泵可以有效地雾化悬浮组织材料，以产生气相离子。单独的气动喷雾电离机理与声波喷雾电离机理相关联。从脑和肝脏样品中获得正负电离光谱，反映了手术装置的主要应用领域。质谱发现在两种离子极性模式下，组织的主要特征是复杂的脂质型成分。同时还检测到多肽负离子的多重电荷。详细描述了仪器设置的影响。文丘里泵的几何形状和流量参数对电离效率至关重要。对磷脂和多肽的标准溶液进行分析，以测试其动态范围、灵敏度和抑制效果。发现完整组织标本的光谱对组织学组织类型具有高度特异性。建立了基于主成分分析（PCA）和线性判别分析（LDA）的数据分析方法，用于手术环境下的实时组织识别。该方法已成功地在人类死后和离体样本上进行了测试，包括星形细胞瘤、脑膜瘤、转移性脑瘤和健康脑组织。
Direct combination of cavitron ultrasonic surgical aspirator (CUSA) and sonic spray ionization mass spectrometry is presented. A commercially available ultrasonic surgical device was coupled to a Venturi easy ambient sonic spray ionization (V-EASI) source by directly introducing liquified tissue debris into the Venturi air jet, pump. The Venturi air jet pump was found to efficiently nebulize the suspended tissue material for gas phase ion production. The ionization mechanism involving solely pneumatic spraying was associated with that of sonic spray ionization. Positive and negative ionization spectra were obtained from brain and liver samples reflecting the primary application areas of the surgical device. Mass spectra were found to feature predominantly complex lipid-type constituents of tissues in both ion polarity modes. Multiply charged peptide anions were also detected. The influence of instrumental settings was characterized in detail. Venturi pump geometry and flow parameters were found to be critically important in ionization efficiency. Standard solutions of phospholipids and peptides were analyzed in order to test the dynamic range, sensitivity, and suppression effects. The spectra of the intact tissue specimens were found to be highly specific to the histological tissue type. The principal component analysis (PCA) and linear discriminant analysis (LDA) based data analysis method was developed for real-time tissue identification in a surgical environment. The method has been successfully tested on post-mortem and ex vivo human samples including astrocytomas, meningeomas, metastatic brain tumors, and healthy brain tissue.