TY - JOUR
T1 - Detection of a secreted protein biomarker for citrus Huanglongbing using a single-walled carbon nanotubes-based chemiresistive biosensor
AU - Tran, Thien Toan
AU - Clark, Kelley
AU - Ma, Wenbo
AU - Mulchandani, Ashok
N1 - Funding Information: This work was supported by grants from U.S. Department of Agriculture (2014-67021-21589) to AM and WM and National Science Foundation (1606181 and 1842718) to AM. AM acknowledges the W. Ruel Johnson Chair in Environmental Engineering.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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 misdiagnoses, respectively.
AB - 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 misdiagnoses, respectively.
KW - Candidatus Liberibacter asiaticus
KW - Chemiresistor
KW - Citrus Huanglongbing
KW - Secretory biomarker
KW - Single-walled carbon nanotubes
KW - Standard addition method
UR - http://www.scopus.com/inward/record.url?scp=85073572045&partnerID=8YFLogxK
U2 - 10.1016/j.bios.2019.111766
DO - 10.1016/j.bios.2019.111766
M3 - Article
C2 - 31654821
AN - SCOPUS:85073572045
SN - 0956-5663
VL - 147
JO - Biosensors and Bioelectronics
JF - Biosensors and Bioelectronics
M1 - 111766
ER -