Detection of <i<Coxiella burnetii</i< Using Silicon Microring Resonator in Patient Blood Plasma
Blood plasma from patients is a powerful resource for diagnosing infectious disease due to it having many genetic materials as well as being relatively easy to obtain. Thus, various biosensors have been investigated for diagnosing diseases in blood plasma. However, there are no optimized and validat...
Ausführliche Beschreibung
Autor*in: |
Bonhan Koo [verfasserIn] Choong Eun Jin [verfasserIn] Moonsuk Bae [verfasserIn] Yoon Ok Jang [verfasserIn] Ji Yeun Kim [verfasserIn] Sung-Han Kim [verfasserIn] Yong Shin [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Übergeordnetes Werk: |
In: Micromachines - MDPI AG, 2010, 10(2019), 7, p 427 |
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Übergeordnetes Werk: |
volume:10 ; year:2019 ; number:7, p 427 |
Links: |
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DOI / URN: |
10.3390/mi10070427 |
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Katalog-ID: |
DOAJ024460877 |
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Detection of <i<Coxiella burnetii</i< Using Silicon Microring Resonator in Patient Blood Plasma |
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Blood plasma from patients is a powerful resource for diagnosing infectious disease due to it having many genetic materials as well as being relatively easy to obtain. Thus, various biosensors have been investigated for diagnosing diseases in blood plasma. However, there are no optimized and validated sensors for clinical use due to the low sensitivity, complexity, and difficulties of removing the inhibitors from plasma samples. In this study, we described a silicon microring resonator sensor used to detect <i<Coxiella burnetii</i< from the blood plasma of Q-fever patients in a label-free, real-time manner. Q-fever is an infectious disease caused by <i<Coxiella burnetii</i< via direct contact or inhalation aerosols. We validated this biosensor in the blood plasma of 35 clinical samples (including 16 Q fever samples infected with <i<Coxiella burnetii</i< and 19 samples infected with other febrile diseases. The biosensors are capable of rapid (10 min), highly sensitive (87.5%), and specific (89.5%) detection in plasma samples compared to the use of the conventional method. |
abstractGer |
Blood plasma from patients is a powerful resource for diagnosing infectious disease due to it having many genetic materials as well as being relatively easy to obtain. Thus, various biosensors have been investigated for diagnosing diseases in blood plasma. However, there are no optimized and validated sensors for clinical use due to the low sensitivity, complexity, and difficulties of removing the inhibitors from plasma samples. In this study, we described a silicon microring resonator sensor used to detect <i<Coxiella burnetii</i< from the blood plasma of Q-fever patients in a label-free, real-time manner. Q-fever is an infectious disease caused by <i<Coxiella burnetii</i< via direct contact or inhalation aerosols. We validated this biosensor in the blood plasma of 35 clinical samples (including 16 Q fever samples infected with <i<Coxiella burnetii</i< and 19 samples infected with other febrile diseases. The biosensors are capable of rapid (10 min), highly sensitive (87.5%), and specific (89.5%) detection in plasma samples compared to the use of the conventional method. |
abstract_unstemmed |
Blood plasma from patients is a powerful resource for diagnosing infectious disease due to it having many genetic materials as well as being relatively easy to obtain. Thus, various biosensors have been investigated for diagnosing diseases in blood plasma. However, there are no optimized and validated sensors for clinical use due to the low sensitivity, complexity, and difficulties of removing the inhibitors from plasma samples. In this study, we described a silicon microring resonator sensor used to detect <i<Coxiella burnetii</i< from the blood plasma of Q-fever patients in a label-free, real-time manner. Q-fever is an infectious disease caused by <i<Coxiella burnetii</i< via direct contact or inhalation aerosols. We validated this biosensor in the blood plasma of 35 clinical samples (including 16 Q fever samples infected with <i<Coxiella burnetii</i< and 19 samples infected with other febrile diseases. The biosensors are capable of rapid (10 min), highly sensitive (87.5%), and specific (89.5%) detection in plasma samples compared to the use of the conventional method. |
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