Rapid detection and classification of cancer cells with label‐free and non‐destructive methods are helpful for rapid screening of cancer patients in clinical settings. Here, surface‐enhanced Raman scattering (SERS) was used for rapid, unlabeled, and non‐destructive detection of seven different cell types, including human cancer cells and non‐tumorous cells. Au nanoparticles were used as enhanced substrates and directly added to cell surfaces. The single cellular SERS signals could be easily and stably collected in several minutes, and the cells maintained structural integrity over one hour. Different types of cells had unique Raman phenotypes. By applying multivariate statistical analysis to the Raman phenotypes, the cancer cells and non‐tumorous cells were accurately identified. The high sensitivity enabled this method to discriminate subtle molecular changes in different cell types, and the accuracy reached 81.2% with principal components analysis and linear discriminant analysis. The technique provided a rapid, unlabeled, and non‐destructive method for the detection and identification of various cancer types.

中文翻译：

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基于表面增强拉曼散射曲线和多元统计分析的不同癌症类型的快速和无标记识别

使用无标记和无损方法快速检测和分类癌细胞有助于在临床环境中快速筛查癌症患者。在这里，表面增强拉曼散射 (SERS) 用于快速、未标记和无损检测七种不同的细胞类型，包括人类癌细胞和非肿瘤细胞。金纳米粒子被用作增强底物并直接添加到细胞表面。可以在几分钟内轻松稳定地收集单个细胞 SERS 信号，并且细胞在一个小时内保持结构完整性。不同类型的细胞具有独特的拉曼表型。通过对拉曼表型应用多变量统计分析，准确识别癌细胞和非肿瘤细胞。高灵敏度使该方法能够区分不同细胞类型的细微分子变化，主成分分析和线性判别分析的准确度达到81.2%。该技术为检测和鉴定各种癌症类型提供了一种快速、未标记和非破坏性的方法。