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标题: Livia S. Eberlin 分析化学家 [打印本页]

作者: shiyi18    时间: 2022-5-14 02:15
标题: Livia S. Eberlin 分析化学家
Livia S. Eberlin
Analytical Chemist | Class of 2018
Developing mass spectrometry-based methods to differentiate more quickly and accurately diseased from healthy tissues during surgery


Portrait of Livia S. Eberlin
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Title
Analytical Chemist
Affiliation
Department of Chemistry, University of Texas / Austin
Location
Austin, Texas
Age
32 at time of award
Area of Focus
Chemistry
Website
Eberlin Research Group
MasSpec Pen
Social
Twitter
Published October 4, 2018
ABOUT LIVIA'S WORK
Livia Eberlin is an analytical chemist developing innovative mass spectrometry technologies for more efficient and accurate clinical diagnosis and surgical treatment of cancer. Evaluation of tumor margins—that is, determining the boundary between cancerous and healthy tissue—is a critical problem in cancer surgery, particularly for brain tumors where keeping as much healthy tissue intact as possible significantly impacts the patient’s future quality of life. The traditional approach to margin evaluation is microscopic analysis of biopsied tissue, a process that prolongs surgery times or requires waiting several days for test results.

Using a multidisciplinary approach bridging analytical chemistry, machine learning, engineering, clinical diagnostics, and surgical practice, Eberlin is developing ambient mass spectrometry–based imaging methodologies and instrumentation for the immediate, in situ chemical analysis of tissues. Mass spectrometry (MS) is a method for analyzing the chemical composition of matter by separating ionized (positively or negatively charged) molecules based on their mass-to-charge ratio in an electric field. Ambient MS imaging enables detection of the spatial distribution of molecules in a given sample under ambient conditions (that is, at atmospheric pressure and room temperature). Eberlin has optimized ambient MS imaging for detection of new molecular markers of diseased tissue, including abnormal expression and composition of mitochondrial lipids and distribution of proteins.

She and collaborators have harnessed this technology for clinical applications in the MasSpec Pen. The MasSpec Pen extracts biomolecules from cancerous and surrounding normal tissues without destroying the living tissue.  These biomolecules are then analyzed using mass spectrometry and the tissue is characterized using a machine learning algorithm based on previously validated diagnostic data. This platform identifies cancerous tissue with a high degree of sensitivity, specificity, accuracy, and speed, and Eberlin is currently refining and testing the MasSpec Pen for use in surgery. Her technological innovations have the potential to improve health care by decreasing the time between diagnosis to treatment and increasing the accuracy of cancer diagnoses and surgical interventions.

BIOGRAPHY
Livia S. Eberlin received a B.S. (2007) from the Universidade Estadual de Campinas and a Ph.D. (2012) from Purdue University. She was a postdoctoral fellow at Stanford University from 2012 to 2015, and in 2016 she joined the faculty of the University of Texas at Austin, where she is currently an assistant professor in the Department of Chemistry. Her articles have been published in such scientific journals as Analytical Chemistry, Cancer Research, Proceedings of the National Academy of Sciences, Angewandte Chemie, and Science Translational Medicine, among others.



Livia S. Eberlin
分析化学家 | 2018级
开发基于质谱的方法,在手术中更快、更准确地区分病变和健康组织


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标题
分析化学家
工作单位
德克萨斯大学/奥斯汀分校化学系
工作地点
奥斯汀,德克萨斯州
年龄
获奖时32岁
重点领域
化学
网站
艾伯林研究小组
MasSpec笔
社会
推特
发表于2018年10月4日
关于Livia的工作
Livia Eberlin是一名分析化学家,为更有效和准确的临床诊断和癌症手术治疗开发创新的质谱技术。肿瘤边缘的评估--即确定癌症和健康组织之间的界限--是癌症手术中的一个关键问题,特别是对于脑瘤来说,尽可能多地保持健康组织的完整,对病人未来的生活质量有很大影响。传统的边缘评估方法是对活检组织进行显微镜分析,这一过程延长了手术时间或需要等待数天才能得到测试结果。

利用连接分析化学、机器学习、工程、临床诊断和外科实践的多学科方法,Eberlin正在开发基于环境质谱的成像方法和仪器,以便对组织进行即时、现场的化学分析。质谱法(MS)是一种通过在电场中根据电离(带正电或负电)分子的质荷比分离物质化学成分的方法。环境质谱成像能够在环境条件下(即在大气压和室温下)检测特定样品中分子的空间分布。艾伯林已经优化了环境质谱成像,用于检测病变组织的新分子标记,包括线粒体脂质的异常表达和组成以及蛋白质的分布。

她和合作者在MasSpec Pen中利用这项技术进行了临床应用。MasSpec笔从癌症和周围正常组织中提取生物分子,而不破坏活体组织。 然后用质谱分析这些生物大分子,并根据先前验证的诊断数据,用机器学习算法对组织进行定性。这个平台以高度的敏感性、特异性、准确性和速度识别癌症组织,Eberlin目前正在完善和测试MasSpec笔,以便在手术中使用。她的技术创新有可能通过缩短从诊断到治疗的时间,提高癌症诊断和手术干预的准确性来改善医疗服务。

个人简历
Livia S. Eberlin在坎皮纳斯州立大学获得学士学位(2007年),在普渡大学获得博士学位(2012年)。2012年至2015年,她在斯坦福大学做博士后研究,2016年她加入德克萨斯大学奥斯汀分校的教师队伍,目前是化学系的助理教授。她的文章发表在《分析化学》、《癌症研究》、《美国国家科学院院刊》、《Angewandte Chemie》和《科学转化医学》等科学期刊上,等等。




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