Estimation of Low Sucrose Concentrations by UV-Vis Spectroscopy and Artificial Neural Networks

被引：0

作者：

Mezgil, Bahadir ^{[1
]}

Erdogan, Duygu ^{[2
]}

Alduran, Yesim ^{[3
]}

Yildiz, Umit Hakan ^{[3
]}

Yildiz, Ahu Arslan ^{[2
]}

Bastanlar, Yahn ^{[1
]}

机构：

[1] Izmir Yuksek Teknol Enstitusu, Bilgisayar Muhendisligi Bolumu, Izmir, Turkey

[2] Izmir Yuksek Teknol Enstitusu, Biyomuhendisl Bolumu, Izmir, Turkey

[3] Izmir Yuksek Teknol Enstitusu, Kimya Bolumu, Izmir, Turkey

来源：

2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2017年

关键词：

Sucrose concentration estimation; Artificial neural networks; Localized plasmon resonance; UV-Vis spectroscopy;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Low sucrose concentrations in solutions is estimated by means of localized surface plasmon resonance of immobilized gold nanoparticles. The ultraviolet-visible spectra (UV-Vis) of samples with different sucrose concentrations were prepared and used to train artificial neural networks. In our study, MATLAB Neural Networks Toolbox was used and effect of different input sizes and network structures on the estimation accuracy is investigated. It is observed that using complete spectrum instead of peak point results in higher accuracy.

引用

页数：4

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