Traditional cell detection based on biomarkers relies on specific lock-and-key recognition. However, many diseases either do not have obvious biomarkers or these markers are currently unknown. Unbiased sensor arrays based on nanoparticles use selective interactions to generate bioprofiles capable of identifying cell type and state. As a result, these arrays can differentiate subtle variations on the cell surfaces, presenting a potential approach for personalized diagnostics.

中文翻译：

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超越生物标记：使用无偏纳米传感器阵列识别细胞状态


基于生物标记物的传统细胞检测依赖于特定的锁和钥匙识别。然而，许多疾病要么没有明显的生物标志物，要么这些标志物目前未知。基于纳米颗粒的无偏传感器阵列利用选择性相互作用来生成能够识别细胞类型和状态的生物特征。因此，这些阵列可以区分细胞表面的细微变化，为个性化诊断提供了一种潜在的方法。