Urinary analysis based on surface-enhanced Raman scattering for the noninvasive screening of lung cancer

Q1 Medicine Engineered regeneration Pub Date : 2022-12-01 DOI:10.1016/j.engreg.2022.08.004
Xueqian Ren , Liping Huang , Chengde Wang , Yuancai Ge , Kaili Zhang , Danfeng Jiang , Xiaohu Liu , Qingwen Zhang , Yi Wang
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引用次数: 4

Abstract

We developed a reliable simple analysis of adenosine, creatinine and other nucleosides (cytidine and guanosine) with single measurement based on surface-enhanced Raman spectroscopy (SERS) using DSP-AuNPs with Cu2+ ions probe and applied it to achieve noninvasive screening of lung cancer. The gold nanoparticles (AuNPs) were modified with 3,3′-dithiodipropionic acid di (N-hydroxysuccinimide ester) (DSP), which could react with above mentioned molecules followed with the aggregation of AuNPs at the presence of Cu2+, thus form the plasmonic hot spots to dramatically increase their fingerprint Raman signal. The probe of DSP-AuNPs was applied for the detail analysis of urinary adenosine of healthy people and lung cancer patients. The SERS measurement indicated a higher concentration of urinary adenosine for lung cancer patients than that of healthy people, which was consistent with the results measured by high-performance liquid chromatography (HPLC). In combination of Raman spectroscopy with the orthogonal partial least squares discriminant analysis (OPLS-DA) model, we are able to discriminate the lung cancer patients from healthy people with the urinary test. The results indicated that besides of adenosine, other metabolites including uric acid, guanine and creatinine may also be the potential tumor markers in urine for the noninvasive lung cancer diagnosis. Such a method paves a way for the noninvasive cancer screening and it can be further modified for the detection of other molecules on medical diagnosis.

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基于表面增强拉曼散射的尿液分析在肺癌无创筛查中的应用
我们开发了一种基于表面增强拉曼光谱(SERS)的可靠的简单分析腺苷、肌酐和其他核苷(胞苷和鸟苷)的方法,使用带有Cu2+离子探针的sp - aunps,并将其应用于肺癌的无创筛查。以3,3′-二硫代二丙酸二(n -羟基琥珀酰亚胺酯)(DSP)修饰金纳米粒子(AuNPs),使其在Cu2+存在下与上述分子发生反应并聚集,形成等离子体热点,从而显著提高其指纹拉曼信号。应用DSP-AuNPs探针对健康人及肺癌患者尿腺苷进行详细分析。SERS检测结果显示肺癌患者尿腺苷浓度高于健康人,这与高效液相色谱(HPLC)检测结果一致。将拉曼光谱与正交偏最小二乘判别分析(OPLS-DA)模型相结合,可以通过尿液检测将肺癌患者与健康人区分开来。结果提示,除腺苷外,尿中尿酸、鸟嘌呤、肌酐等代谢物也可能是肺癌无创诊断的潜在肿瘤标志物。该方法为非侵入性癌症筛查铺平了道路,并可进一步改进用于医学诊断中其他分子的检测。
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来源期刊
Engineered regeneration
Engineered regeneration Biomaterials, Medicine and Dentistry (General), Biotechnology, Biomedical Engineering
CiteScore
22.90
自引率
0.00%
发文量
0
审稿时长
33 days
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