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Choi J, Jeun M, Yuk SS, Park S, Choi J, Lee D, Shin H, Kim H, Cho IJ, Kim SK, Lee S, Song CS, Lee KH. Fully Packaged Portable Thin Film Biosensor for the Direct Detection of Highly Pathogenic Viruses from On-Site Samples. ACS Nano 2019; 13:812-820. [PMID: 30596428 DOI: 10.1021/acsnano.8b08298] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
The thin film transistor (TFT) is a promising biosensor system with great sensitivity, label-free detection, and a quick response time. However, even though the TFT sensor has such advantageous characteristics, the disadvantages hamper the TFT sensor's application in the clinical field. The TFT is susceptible to light, noise, vibration, and limited usage, and this significantly limits its on-site potential as a practical biosensor. Herein, we developed a fully packaged, portable TFT electrochemical biosensor into a chip form, providing both portability through minimizing the laboratory equipment size and multiple safe usages by protecting the semiconductor sensor. Additionally, a safe environment that serves as a miniature probe station minimizes the previously mentioned disadvantages, while providing the means to properly link the TFT biosensor with a portable analyzer. The biosensor was taken into a biosafety level 3 (BSL-3) laboratory setting to analyze highly pathogenic avian influenza virus (HPAIV) samples. This virus quickly accumulates within a host, and therefore, early stage detection is critical to deterring the further spread of the deadly disease to other areas. However, current on-site methods have poor limits of detection (105-106 EID50/mL), and because the virus has low concentration in its early stages, it cannot be detected easily. We have compared the sample measurements from our device with virus concentration data obtained from a RT-PCR (virus range: 100-104 EID50/mL) and have identified an increasing voltage signal which corresponds to increasing virus concentration.
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Affiliation(s)
- Jaewon Choi
- Center for Biomaterials , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
- Division of Bio-Medical Science & Technology , KIST School - Korea University of Science and Technology (UST) , Seoul 02792 , Republic of Korea
| | - Minhong Jeun
- Center for Biomaterials , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
| | - Seong-Su Yuk
- Department of Veterinary Medicine , Konkuk University , Seoul 05029 , Republic of Korea
| | - Sungwook Park
- Center for Biomaterials , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
- Division of Bio-Medical Science & Technology , KIST School - Korea University of Science and Technology (UST) , Seoul 02792 , Republic of Korea
| | - Jaebin Choi
- Sensor System Research Center , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
| | - Donggeun Lee
- Sensor System Research Center , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
| | - Hyogeun Shin
- Division of Bio-Medical Science & Technology , KIST School - Korea University of Science and Technology (UST) , Seoul 02792 , Republic of Korea
- Center for BioMicrosystems , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
| | - Hojun Kim
- Center for Biomaterials , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
| | - Il-Joo Cho
- Division of Bio-Medical Science & Technology , KIST School - Korea University of Science and Technology (UST) , Seoul 02792 , Republic of Korea
- Center for BioMicrosystems , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
| | - Sang Kyung Kim
- Division of Bio-Medical Science & Technology , KIST School - Korea University of Science and Technology (UST) , Seoul 02792 , Republic of Korea
- Center for BioMicrosystems , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
| | - Seok Lee
- Sensor System Research Center , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
| | - Chang Seon Song
- Department of Veterinary Medicine , Konkuk University , Seoul 05029 , Republic of Korea
| | - Kwan Hyi Lee
- Center for Biomaterials , Korea Institute of Science and Technology (KIST) , Seoul 02792 , Republic of Korea
- Division of Bio-Medical Science & Technology , KIST School - Korea University of Science and Technology (UST) , Seoul 02792 , Republic of Korea
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Yang KS, Im H, Hong S, Pergolini I, Del Castillo AF, Wang R, Clardy S, Huang CH, Pille C, Ferrone S, Yang R, Castro CM, Lee H, Del Castillo CF, Weissleder R. Multiparametric plasma EV profiling facilitates diagnosis of pancreatic malignancy. Sci Transl Med 2017; 9:eaal3226. [PMID: 28539469 PMCID: PMC5846089 DOI: 10.1126/scitranslmed.aal3226] [Citation(s) in RCA: 175] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 03/29/2017] [Indexed: 12/26/2022]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is usually detected late in the disease process. Clinical workup through imaging and tissue biopsies is often complex and expensive due to a paucity of reliable biomarkers. We used an advanced multiplexed plasmonic assay to analyze circulating tumor-derived extracellular vesicles (tEVs) in more than 100 clinical populations. Using EV-based protein marker profiling, we identified a signature of five markers (PDACEV signature) for PDAC detection. In our prospective cohort, the accuracy for the PDACEV signature was 84% [95% confidence interval (CI), 69 to 93%] but only 63 to 72% for single-marker screening. One of the best markers, GPC1 alone, had a sensitivity of 82% (CI, 60 to 95%) and a specificity of 52% (CI, 30 to 74%), whereas the PDACEV signature showed a sensitivity of 86% (CI, 65 to 97%) and a specificity of 81% (CI, 58 to 95%). The PDACEV signature of tEVs offered higher sensitivity, specificity, and accuracy than the existing serum marker (CA 19-9) or single-tEV marker analyses. This approach should improve the diagnosis of pancreatic cancer.
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Affiliation(s)
- Katherine S Yang
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Hyungsoon Im
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Seonki Hong
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ilaria Pergolini
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Rui Wang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Susan Clardy
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Chen-Han Huang
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Craig Pille
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Health Sciences, Northeastern University, Boston, MA 02115, USA
| | - Soldano Ferrone
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Robert Yang
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Cesar M Castro
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA
| | - Hakho Lee
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Carlos Fernandez Del Castillo
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
- Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
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