[Fluorescence spectrum analysis system for protoporphyrin IX in serum based on wavelet transform].

Area of Science:

• Biochemistry
• Medical Diagnostics
• Spectroscopy

Background:

• Protoporphyrin IX is a vital organic compound and a potential biomarker for tumor blood.
• Serum levels of Protoporphyrin IX are typically very low and influenced by multiple factors.
• Accurate detection of low-concentration biomarkers is essential for early disease diagnosis.

Purpose of the Study:

• To develop and validate a method for discriminating weak Protoporphyrin IX signals in serum fluorescence spectra.
• To enable quantitative analysis of Protoporphyrin IX for potential diagnostic applications.
• To investigate the utility of wavelet transform in analyzing complex biological spectra.

Main Methods:

• Utilized a multi-function spectrum measuring system to obtain serum fluorescence spectra.
• Applied wavelet transform for signal decomposition to separate noise from Protoporphyrin IX signals.
• Performed six levels of decomposition to analyze signal frequency and identify characteristic peaks.

Main Results:

• Wavelet transform successfully decomposed the fluorescence spectrum into approximation and detail signals.
• Signal frequency decreased with increasing decomposition levels, highlighting Protoporphyrin IX characteristics.
• Weak Protoporphyrin IX signals were effectively discriminated, allowing for component and quantity determination.

Conclusions:

• The developed serum fluorescence spectrum analysis system based on wavelet transform is effective for detecting weak Protoporphyrin IX signals.
• This method shows potential for the quantitative analysis and early diagnosis of incipient tumors.
• Further research can leverage this technique for improved cancer diagnostics.