Native fluorescence spectroscopy: An optical tool in delineating oral cancer patients from normal subjects and diabetic patients using urine

Many fluorescence spectroscopic studies have proven its novelty and considered as a promising tool in the diagnosis of any health disorders using biofluids. This technique is highly sensitive, real time, non invasive and also it holds many interdependent methods. Urine is one of the most diagnostica...

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Bibliographic Details
Published in2017 Trends in Industrial Measurement and Automation (TIMA) pp. 1 - 4
Main Authors Pachaiappan, Rekha, Prakasarao, Aruna, Kesavan, Anjana, Singaravelu, Ganesan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2017
Subjects
artificial neural network
Artificial neural networks
Biomedical optical imaging
Cancer
Diabetes
Fluorescence
indoxyl sulfate
Lesions
linear discriminant analysis
Native fluorescence spectroscopy
oral cancer
Spectroscopy
urine
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Summary:Many fluorescence spectroscopic studies have proven its novelty and considered as a promising tool in the diagnosis of any health disorders using biofluids. This technique is highly sensitive, real time, non invasive and also it holds many interdependent methods. Urine is one of the most diagnostically important biofluid as it carries specific proteins released from blood used in the collection of significant diagnostic information. In this study, the characterization of urine of normal subjects (14), diabetic (14) and oral cancer patients (14) was carried out using native fluorescence spectroscopy at 280 nm excitation. Thus, obtained fluorescence spectral data were analyzed with the statistical methods linear discriminant analysis (LDA) coupled with artificial neural network (ANN). The results obtained were promising in the classification among normal urine and abnormal urine (diabetic & oral cancer urine).
DOI:10.1109/TIMA.2017.8064822