| Research Title |
Acute Kidney Injury Detection using Real Human
Urine NGAL Biomarker Sensor based on 3D
Graphene |
| Date of Distribution |
22 January 2023 |
| Conference |
| Title of the Conference |
The 2022 Biomedical Engineering International Conference (BMEiCON-2022) |
| Organiser |
IEEE EMB Thailand Chapter, IEEJ, IFMBE, PSU และ ThaiBME.org |
| Conference Place |
Lipe |
| Province/State |
Songkhla |
| Conference Date |
10 November 2022 |
| To |
13 November 2022 |
| Proceeding Paper |
| Volume |
2022 |
| Issue |
10.1109/BMEiCON56653.2022.10012085 |
| Page |
1-4 |
| Editors/edition/publisher |
IEEE |
| Abstract |
Acute kidney injury (AKI) is not a specified symptom
in the early stages. Frequency of AKI occurrence is highly
correlated to Chronic Kidney Disease (CKD). Therefore,
development of non-invasive, ultra-sensitive, and highly accurate
sensing platform is crucial for early AKI diagnosis. Serum
creatinine (SCr) level usually takes 24-72 hours to response to the
incident of AKI. Meanwhile, urine Neutrophil Gelatinase-
Associated Lipocalin (NGAL) takes only 2 hours to response after
the AKI occurrence. In this work, we investigated the use of
microporous graphene and dipole-dipole enhancement between
graphene/nickel layers to enhance electrode sensitivity for urine
NGAL level determination. Selectivity was assured using
enzymatic electrochemistry. Once NGAL level was measured, a
doctor can diagnose AKI under additional information on
patient’s conditions. The result is promising since the detection
range was 0.110 to 93.9 ng/ml and the correlation coefficient is
0.8235. The detection covered AKI primary diagnostic cutoff level
at 87 ng/ml in urine. The electrochemical immunosensor was able
to determine NGAL in Urine with results compared to those
provided by the standard ELISA method. This work is a part of
development of handheld NGAL determination strip in human
urine samples and prepared portable NGAL sensing devices.
Despite our investigation's limitation, the acquired data indicates
that non-invasive acute kidney injury detection using actual
human urine with graphene foam/nickel-based electrochemical
sensor should be further explored as an auxiliary diagnostic tool
for AKI. |
| Author |
|
| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| ใช้สำหรับสำเร็จการศึกษา |
ไม่เป็น |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
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Publication
Journal Publication
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