Etching Time On Structural And Electrical Properties Of Porous Silicon Sers Substrates For Non-Invasive Dengue-Ns1 Detection
Surface Enhanced Raman Spectroscopy (SERS) is a sensitive and specific analytical technique which has been explored in many applications, including disease detection. However, SERS performance is highly dependent on type of SERS substrate. This work is aimed to develop a SERS substrate that is sensi...
الحاوية / القاعدة: | International Journal of Integrated Engineering |
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المؤلف الرئيسي: | Ismail N.F.; Ismail L.N.; Lee K.Y.; Zulhanip A.Z.; Hadis N.S.M.; Radzol A.R.M. |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Penerbit UTHM
2021
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120919670&doi=10.30880%2fijie.2021.13.05.014&partnerID=40&md5=233710adea663b1b841e2e39ca7d3034 |
مواد مشابهة
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PCA-KNN for Detection of NS1 from SERS Salivary Spectra
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منشور في: (2018) -
Optimal Scree-CNN for Detecting NS1 Molecular Fingerprint from Salivary SERS Spectra
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منشور في: (2020) -
PCA Kernel Based Extreme Learning Machine Model for Detection of NS1 from Salivary SERS Spectra
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PCA-SCG-ANN for detection of non-structural protein 1 from SERS salivary spectra
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I-V and surface topography study of nanostructure porous silicon layer prepared by electrochemical etching
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