This paper presents the results of studies aiming at the assessment and classification of wastewater using an electronic nose. During the experiment, an attempt was made to classify the medium based on an analysis of signals from a gas sensor array, the intensity of which depended on the levels of volatile compounds in the headspace gas mixture above the wastewater table. The research involved samples collected from the mechanical and biological treatment devices of a full-scale wastewater treatment plant (WWTP), as well as wastewater analysis. The measurements were carried out with a metal-oxide-semiconductor (MOS) gas sensor array, when coupled with a computing unit (e.g., a computer with suitable software for the analysis of signals and their interpretation), it formed an e-nose—that is, an imitation of the mammalian olfactory sense. While conducting the research it was observed that the intensity of signals sent by sensors changed with drops in the level of wastewater pollution; thus, the samples could be classified in terms of their similarity and the analyzed gas-fingerprint could be related to the pollution level expressed by physical and biochemical indicators. Principal component analysis was employed for dimensionality reduction, and cluster analysis for grouping observation purposes. Supervised learning techniques confirmed that the obtained data were applicable for the classification of wastewater at different stages of the purification process.

Plants have been used for their aromatic and medicinal purposes for centuries. The genus Pelargonium contains about 250-280 species and cultivated around the world for the production of essential oils and absolutes. Pelargonium species are remarkable for their odour diversity, from fresh, lemon and minty scent, through floral, rose, fruity up to spicy and camphoreous smell as well as many health beneficial properties, that is why their essential oils are widely used in perfume, cosmetic, food and pharmaceutical industries. The aim of this study was to determine variability in populations of Pelargonium genus by evaluating their differences in quantitative and qualitative essential oils compositions. This study determined that of all the examined essential oil, the one of P. graveolens indoor cultivar has the closest C:G ratio (1.16) which makes it a very valuable product. In comparison with available literature, beside the geographical region of plant growth, all essential oils from P. graveolens contain a diverse range of compounds, nevertheless, in every single one, geraniol and citronellol are present in the most significant fraction of the total oil. The examined P. roseum essential oil was characterized by the highest level of citronellol (44.62 % of total oil), but it can be due to the chemical reactions (conversion geraniol into citronellol) occurring in stored product.