World-Class Research Center "Digital Biodesign and Personalized Healthcare", IM Sechenov First Moscow State Medical University (Sechenov University), 119435 Moscow, Russia.
Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
J Trace Elem Med Biol. 2023 Sep;79:127241. doi: 10.1016/j.jtemb.2023.127241. Epub 2023 Jun 12.
Biomedical application is based on the use of LIBS-derived data on chemical contents of tissues in diagnosis of diseases, forensic investigation, as well as a mechanism for providing online feedback for laser surgery. Although LIBS has certain advantages, the issue of correlation of LIBS-derived data on chemical element content in different human and animal tissues with other methods, and especially ICP-MS, remains pertinent. The objective of the present review was to discuss the application of laser-induced breakdown spectroscopy (LIBS) for elemental analysis of human biosamples or tissues from experimental models of human diseases.
A systematic search in the PubMed-Medline, Scopus, and Google Scholar databases using the terms laser-induced breakdown spectroscopy, LIBS, metals, trace elements, minerals, and names of particular chemical elements was performed up through 25 February, 2023. Of all extracted studies only those dealing with human subjects, human tissues, in vivo animal and in vitro cell line models of human diseases were reviewed in detail.
The majority of studies revealed a wide number of metals and metalloids in solid tissues including teeth (As, Ag, Ca, Cd, Cr, Cu, Fe, Hg, Mg, Ni, P, Pb, Sn, Sr, Ti, and Zn), bones (Al, Ba, Ca, Cd, Cr, K, Mg, Na, Pb, Sr), and nails (Al, As, Ca, Fe, K, Mg, Na, P, Pb, Si, Sr, Ti, Zn). At the same time, LIBS was also used for estimation of trace element and mineral content in hair (Ca, Cu, Fe, K, Mg, Na, Zn), blood (Al, Ca, Co, Cd, Cu, Fe, Mg, Mn, Ni, Pb, Si, Sn, Zn), cancer tissues (Ca, Cu, Fe, Mg, K, Na, Zn) and other tissues. Single studies revealed satisfactory correspondence between quantitative LIBS and ICP-OES/MS data on the level of As (81-93 %), Pb (94-98 %), Cd (50-94 %) in teeth, Cu (97-105 %), Fe (117 %), Zn (88-117 %) in hair, Ca (97-99 %), Zn (90-95 %), and Pb (61-82 %) in kidney stones. LIBS also estimated specific patterns of trace element and mineral content associated with multiple pathologies, including caries, cancer, skin disorders, and other systemic diseases including diabetes mellitus type 2, osteoporosis, hypothyroidism, etc. Data obtained from in situ tissue LIBS analysis were profitably used for discrimination between tissue types.
Taken together, the existing data demonstrate the applicability of LIBS for medical studies, although further increase in its sensitivity, calibration range, cross-validation, and quality control is required.
生物医学应用基于 LIBS 衍生数据在疾病诊断、法医调查以及激光手术在线反馈机制中的组织化学含量的应用。尽管 LIBS 具有某些优势,但 LIBS 衍生数据与其他方法(尤其是 ICP-MS)在不同人体和动物组织中的化学元素含量的相关性问题仍然存在。本综述的目的是讨论激光诱导击穿光谱(LIBS)在人体生物样本或人类疾病实验模型组织中的元素分析中的应用。
通过在 PubMed-Medline、Scopus 和 Google Scholar 数据库中使用激光诱导击穿光谱、LIBS、金属、微量元素、矿物质和特定化学元素名称等术语进行系统搜索,检索截至 2023 年 2 月 25 日的文献。从所有提取的研究中,仅详细审查了涉及人体、人体组织、体内动物和体外人类疾病细胞系模型的研究。
大多数研究表明,固体组织中存在大量金属和类金属,包括牙齿(As、Ag、Ca、Cd、Cr、Cu、Fe、Hg、Mg、Ni、P、Pb、Sn、Sr、Ti 和 Zn)、骨骼(Al、Ba、Ca、Cd、Cr、K、Mg、Na、Pb、Sr)和指甲(Al、As、Ca、Fe、K、Mg、Na、P、Pb、Si、Sr、Ti、Zn)。同时,LIBS 还用于估计头发(Ca、Cu、Fe、K、Mg、Na、Zn)、血液(Al、Ca、Co、Cd、Cu、Fe、Mg、Mn、Ni、Pb、Si、Sn、Zn)、癌症组织(Ca、Cu、Fe、Mg、K、Na、Zn)和其他组织中的微量元素和矿物质含量。单项研究表明,LIBS 与 ICP-OES/MS 数据在牙齿中 As(81-93%)、Pb(94-98%)、Cd(50-94%)、头发中 Cu(97-105%)、Fe(117%)、Zn(88-117%)、肾石中 Ca(97-99%)、Zn(90-95%)和 Pb(61-82%)的定量分析上具有良好的一致性。LIBS 还估计了与多种病理相关的特定微量元素和矿物质含量模式,包括龋齿、癌症、皮肤疾病以及包括 2 型糖尿病、骨质疏松症、甲状腺功能减退症等在内的其他全身性疾病。从原位组织 LIBS 分析中获得的数据可用于区分组织类型。
综上所述,现有数据表明 LIBS 适用于医学研究,尽管需要进一步提高其灵敏度、校准范围、交叉验证和质量控制。