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Identification of Corrosion Products on Fe and Cu Metals using Spectroscopic Methods

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Święch D., Paluszkiewicz C., Piergies N., Pięta E., Lelek-Borkowska U., Kwiatek W.

Acta Physica Polonica A

2018

vol. 133

issue 2

286-288

In this study, the Fourier-transform infrared absorption and the Raman spectroscopies for analysis of corrosion products formed on the Fe and Cu metal surfaces after deposition in the chloride containing solution, were used. The obtained spectral patterns show that main constituent species of the corrosion products for Fe metal sample is lepidocrocite, while in the case of Cu surface there is formed mainly paratacamite. The obtained results confirm that application of vibrational spectroscopic methods is precise tool for identification and analysis of the corrosion products.

Analysis of Human Lenses by Raman Microspectroscopy

100%

Paluszkiewicz C., Chaniecki P., Rękas M., Rajchel B., Piergies N., Kwiatek W.

Acta Physica Polonica A

2016

vol. 129

issue 2

244-246

A cataract is an opacity (clouding) of the normally clear lens which develops as a result of aging, metabolic disorders, trauma or heredity. The number of patients with cataract is increasing exponentially. This disease requires surgical intervention, to remove the cloudy lens and to introduce the eye lens polymer. In this work we will present analyses of degraded parts of human lens. Experimental materials were obtained from the lens removed during surgical intervention. These biological samples were measured using Almega XR Confocal Raman spectrometer (Thermo Scientific) with an excitation source of 785 nm laser line. The Raman vibrations in the spectral region of 650-1750 cm¯¹ were analyzed. The difference spectra revealed an excess of tryptophan, tyrosine, phenylalanine, β-sheet conformation, and molecules or molecular groups.

Analysis of the Experimental Data from MOS Structures in the Case of Large Noise-to-Signal Ratio

100%

Borowicz L., Borowicz P., Rzodkiewicz W.

Acta Physica Polonica A

2009

vol. 116

issue S

S-26-S-29

The signal coming from SiO_{2} layer of MOS structure have large noise-to-signal ratio. This has two reasons - first: the dielectric layers have small Raman efficiency, second: the thickness of the dielectric layers are of the order of 10 nm, so the volume of the material irradiated with laser light is small. At the other side spectroscopic and optical data carry the information about important properties of the structure like mechanical stress. Distribution of mechanical stress introduce an important contribution to the electric properties of the electronic systems based on the MOS structures. Therefore, it is important to "distillate" the optical data from the noise. In this contribution the authors discuss some methods of denoising of the Raman signal. The discussed methods compare treatments like wavelet analysis or convolution. The work is illustrated with some examples of the extraction of the data coming from thin layers. The examples of application of the optical data in the description of the properties of the studied structures are presented.

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3 Acta Physica Polonica A

1 2018

1 2016

1 2009

2 Kwiatek W.

2 Paluszkiewicz C.

2 Piergies N.

1 Borowicz L.

1 Borowicz P.

1 Chaniecki P.

1 Lelek-Borkowska U.

1 Pięta E.

1 Rajchel B.

1 Rzodkiewicz W.

1 Rękas M.

1 Święch D.

Search results

Identification of Corrosion Products on Fe and Cu Metals using Spectroscopic Methods

Analysis of Human Lenses by Raman Microspectroscopy

Analysis of the Experimental Data from MOS Structures in the Case of Large Noise-to-Signal Ratio