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Advancing Lung Cancer Diagnosis through NH2-MON-SPME-GC-MS/MS: Enhanced Sensitivity in Aldehyde Biomarker Detection from Exhaled Breath
Analytical Chemistry ( IF 6.7 ) Pub Date : 2024-09-13 , DOI: 10.1021/acs.analchem.4c03328 Feiran Zhang 1 , Pengfei Li 1 , Yanke Lu 1 , Yehong Han 1 , Hongyuan Yan 1, 2
Analytical Chemistry ( IF 6.7 ) Pub Date : 2024-09-13 , DOI: 10.1021/acs.analchem.4c03328 Feiran Zhang 1 , Pengfei Li 1 , Yanke Lu 1 , Yehong Han 1 , Hongyuan Yan 1, 2
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The sensitive detection of trace biomarkers in exhaled breath for lung cancer diagnosis represents a critical area of research in life analytical chemistry, with profound implications for early disease detection, therapeutic intervention, and prognosis monitoring. Despite its potential, the analytical process faces significant challenges due to the ultratrace levels of disease biomarkers present and the complex, high-humidity composition of exhaled breath. This study introduces a highly sensitive method for detecting aldehyde biomarkers in exhaled breath by integrating the use of amino-functionalized microporous organic networks (NH2-MON) as a solid-phase microextraction (SPME) fiber coating with gas chromatography–triple quadrupole mass spectrometry (GC-MS/MS) analysis. The method innovatively combines sample collection and extraction, achieving a dual-step enrichment process that significantly enhances both the enrichment efficiency and reproducibility of biomarker detection while effectively mitigating the interference caused by water vapor in exhaled breath. The NH2-MON, utilized as an SPME fiber coating, demonstrates exceptional enrichment capacity for five key aldehyde biomarkers, facilitating the development of a highly sensitive detection approach for these biomarkers in exhaled breath. Compared to previously reported methods, the proposed technique exhibits significantly lower limits of quantification, ranging from 0.77 to 11.89 pg mL–1, and achieves substantially higher enrichment factors, ranging from 9156- to 35723-fold. The practicality and feasibility of the method were validated through the analysis of exhaled breath samples from lung cancer patients, underscoring its potential application in the early diagnosis and monitoring of lung cancer.
中文翻译：
通过 NH2-MON-SPME-GC-MS/MS 推进肺癌诊断：提高呼出气中醛生物标志物检测的灵敏度
用于肺癌诊断的呼出气中痕量生物标志物的灵敏检测代表了生命分析化学研究的一个关键领域，对早期疾病检测、治疗干预和预后监测具有深远的影响。尽管具有潜力，但由于疾病生物标志物的超痕量水平以及呼出气的复杂、高湿度成分，分析过程面临着重大挑战。本研究介绍了一种检测呼出气中醛类生物标志物的高灵敏度方法，该方法将氨基功能化微孔有机网络（NH 2 -MON）作为固相微萃取（SPME）纤维涂层与气相色谱-三重四极杆质谱相结合(GC-MS/MS) 分析。该方法创新地将样品采集和提取结合起来，实现了双步富集过程，显着提高了生物标志物检测的富集效率和重现性，同时有效减轻了呼出气中水蒸气造成的干扰。用作 SPME 纤维涂层的 NH 2 -MON 对五种关键醛类生物标志物表现出卓越的富集能力，有助于开发呼出气中这些生物标志物的高灵敏度检测方法。与之前报道的方法相比，所提出的技术表现出明显较低的定量限，范围为 0.77 至 11.89 pg mL –1 ，并实现了更高的富集因子，范围为 9156 至 35723 倍。 通过对肺癌患者呼出气样本的分析，验证了该方法的实用性和可行性，强调了其在肺癌早期诊断和监测中的潜在应用。
更新日期：2024-09-13
中文翻译：
通过 NH2-MON-SPME-GC-MS/MS 推进肺癌诊断：提高呼出气中醛生物标志物检测的灵敏度
用于肺癌诊断的呼出气中痕量生物标志物的灵敏检测代表了生命分析化学研究的一个关键领域，对早期疾病检测、治疗干预和预后监测具有深远的影响。尽管具有潜力，但由于疾病生物标志物的超痕量水平以及呼出气的复杂、高湿度成分，分析过程面临着重大挑战。本研究介绍了一种检测呼出气中醛类生物标志物的高灵敏度方法，该方法将氨基功能化微孔有机网络（NH 2 -MON）作为固相微萃取（SPME）纤维涂层与气相色谱-三重四极杆质谱相结合(GC-MS/MS) 分析。该方法创新地将样品采集和提取结合起来，实现了双步富集过程，显着提高了生物标志物检测的富集效率和重现性，同时有效减轻了呼出气中水蒸气造成的干扰。用作 SPME 纤维涂层的 NH 2 -MON 对五种关键醛类生物标志物表现出卓越的富集能力，有助于开发呼出气中这些生物标志物的高灵敏度检测方法。与之前报道的方法相比，所提出的技术表现出明显较低的定量限，范围为 0.77 至 11.89 pg mL –1 ，并实现了更高的富集因子，范围为 9156 至 35723 倍。 通过对肺癌患者呼出气样本的分析，验证了该方法的实用性和可行性，强调了其在肺癌早期诊断和监测中的潜在应用。
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