2013•Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

The application of semiconductor based UV sources for the detection and classification of biological material

Miron Kaliszewski, Maksymilian Włodarski, Aneta Bombalska, Mirosław Kwaśny, Monika Mularczyk-Oliwa, Jarosław Młyńczak, Krzysztof Kopczyński

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Abstract

Fluorescence analysis of dry samples of biological origin like pollens, fungi, flours and proteins was presented. In the laboratory study presentenced here two fluorescence methods using semiconductor light sources were applied. Firstly, laser induced fluorescence emission (LIF) spectra of the samples were recorded under 266 and 375 nm excitation. The second technique covered fluorescence decay (FD) at 280 and 340 nm excitation. Hierarchical Cluster Analysis (HCA) of acquired spectra and decays was performed. Both LIF and FD showed that single wavelength excitation 266 and 280 nm, respectively allow distinguishing of pollens from other samples. Combining data of both excitation wavelengths, for LIF and FD, respectively, resulted in substantial improvement of data classification for groups according to the samples origin.

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What this paper is about

Fluorescence analysis of dry samples of biological origin like pollens, fungi, flours and proteins was presented. In the laboratory study presentenced here two fluorescence methods using semiconductor light sources were applied. Firstly, laser induced fluorescence emission (LIF) spectra of the samples were recorded under 266 and 375 nm excitation. The second technique covered fluorescence decay (FD) at 280 and 340 nm excitation. Hierarchical Cluster Analysis (HCA) of acquired spectra and decays was performed. Both LIF and FD showed that single wavelength excitation 266 and 280 nm, respectively allow distinguishing of pollens from other samples. Combining data of both excitation wavelengths, for LIF and FD, respectively, resulted in substantial improvement of data classification for groups according to the samples origin.

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Available abstract

Fluorescence analysis of dry samples of biological origin like pollens, fungi, flours and proteins was presented. In the laboratory study presentenced here two fluorescence methods using semiconductor light sources were applied. Firstly, laser induced fluorescence emission (LIF) spectra of the samples were recorded under 266 and 375 nm excitation. The second technique covered fluorescence decay (FD) at 280 and 340 nm excitation. Hierarchical Cluster Analysis (HCA) of acquired spectra and decays was performed. Both LIF and FD showed that single wavelength excitation 266 and 280 nm, respectively allow distinguishing of pollens from other samples. Combining data of both excitation wavelengths, for LIF and FD, respectively, resulted in substantial improvement of data classification for groups according to the samples origin.

Key concepts: Excitation wavelength, Fluorescence, Excitation, Wavelength, Materials science, Semiconductor, Laser-induced fluorescence, Laser

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