Detection of a secreted protein biomarker for citrus Huanglongbing using a single-walled carbon nanotubes-based chemiresistive biosensor
Detection of a secreted protein biomarker for citrus Huanglongbing using a single-walled carbon nanotubes-based chemiresistive biosensor
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DOI：
10.1016/j.bios.2019.111766
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发表时间：
2020-01-01
影响因子：
12.6
通讯作者：
Mulchandani, Ashok
中科院分区：
文献类型：
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作者：
Thien-Toan Tran;Clark, Kelley;Mulchandani, Ashok
柑橘绿化病或黄龙病 (HLB) 是目前最具破坏性的柑橘病害，给价值数十亿美元的全球柑橘产业造成了前所未有的危机。迄今为止，还没有有效的治疗方法，疾病管理依赖于早期发现和清除受感染的树木。因此，迫切需要准确、及时和强大的疾病检测和诊断技术，以最大限度地减少疾病的传播。这项研究报道了一种灵敏、选择性的无标记生物传感器，它将场效应晶体管 (FET)/化学电阻架构中的单壁碳纳米管 (SWNT) 等碳纳米材料的物理和化学优势与针对 Sec 传递效应器 1 (SDE1)（一种分泌性蛋白质生物标志物）的选择性抗体相结合，用于检测 HLB。该生物传感器检测植物组织提取物中柑橘绿化的 SDE1 生物标志物，动态范围在低纳摩尔至微摩尔浓度范围内超过三个数量级，检测限为 5 nM。该研究还证明，使用生物传感器的标准添加测定方法可在浓缩植物组织提取物中实现 90% 的信号恢复，从而无需外部校准即可进行定量检测。采用针对分泌蛋白生物标志物 SDE1 的新型检测策略，解决了当前基于核酸的检测方法和基于症状的诊断方法所面临的一些挑战，这些方法分别容易出现假阴性和误诊。
Citrus greening, or Huanglongbing (HLB), is currently the most devasting disease of citrus, creating unprecedented crisis for the multibillion-dollar global citrus industry. To-date, there is no effective cure and disease management relies on early detection and removal of infected trees. Thus, it is imperative that accurate, timely, and robust disease detection and diagnosis technologies are available to minimize the spread of disease. This study reports a sensitive and selective label-free biosensor that combines the physical and chemical advantages of carbon nanomaterials like single-walled carbon nanotubes (SWNTs) in a field-effect transistor (FET)/chemiresistor architecture with selective antibodies against Sec-delivered effector 1 (SDE1), a secreted protein biomarker, for the detection of HLB. The biosensor detected SDE1 biomarkers for citrus greening in plant tissue extracts with the dynamic range over three orders of magnitude in the low nanomolar to micromolar concentration range and limit of detection of 5 nM. The study also demonstrated the use of the standard additions assay method with the biosensor to attain a 90-percent signal recovery in concentrated plant tissue extract, allowing for quantitative detection without an external calibration. Adopting the novel detection strategy targeting the secreted protein biomarker, SDE1, addresses some of the challenges faced by current methods of nucleic acid-based assays and symptom-based diagnosis, which have been found prone to false negatives and mis-diagnoses, respectively.