Concentration and risk assessment of metals in snow cover monitoring in urban and rural areas.

INTRODUCTION AND OBJECTIVE: Snow cover serves as a unique indicator of environmental pollution in both urban and rural areas. As a seasonal cover, it accumulates various pollutants emitted into the atmosphere, thus providing insight into air pollution types and the relative contributions of different pollution sources. The aim of the study is to analyze the distribution of trace elements in snow cover to assess the anthropogenic influence on pollution levels, and better understand ecological threats. MATERIAL AND METHODS: The study was conducted in rural areas around the village of Wólka in the Lublin Province of eastern Poland, and in urban districts of the city of Lublin, capital of the Province. Samples were analyzed using Inductively Coupled Plasma-Mass Spectrometry, the Enrichment Factor (EF), and ecological risk indices (RI), were calculated to evaluate the contamination and potential ecological risks posed by the metals. RESULTS: The findings indicate higher concentrations of metals like sodium and iron in urban areas, likely due to road salt use and industrial activity, respectively. Enrichment factors showed significant anthropogenic contributions, particularly for metals like sodium, zinc, and cadmium, which had EF values substantially above natural levels. The potential ecological risk assessment highlighted a considerable ecological threat in urban areas compared to rural settings, primarily due to higher concentrations of metals. CONCLUSIONS: The variation in metal concentrations between urban and rural snow covers reflects the impact of human activities on local environments. Urban areas showed higher pollution levels, suggesting the need for targeted pollution control policies to mitigate the adverse ecological impacts. This study underscores the importance of continuous monitoring and comprehensive risk assessments to effectively manage environmental pollution.

Comparison of leaching behaviour of heavy metals from sediments sampled in sewer systems - environmental and public health aspect.

INTRODUCTION AND OBJECTIVE: The article analyzes the content of heavy metals and standard physical as well as chemical pollution indicators in different types of sediments from stormwater, combined sewer and sanitary sewer systems. MATERIAL AND METHODS: Nickel, lead, chromium, copper, zinc and cadmium, as well as standard physical and chemical pollution indicators, were determined in sewage sediments. Aqueous extracts of sediments samples, taken from storm water sewer inlet sediments traps, storm sewers, sanitary sewers and combined sewers, were prepared in accordance with PN-EN 12457-2:2006. After mineralization, the concentrations of the metals: nickel, lead, chromium, copper, zinc and cadmium in the extracts were determined using the inductively coupled plasma emission spectroscopy technique. RESULTS: The results were analyzed with a non-metric multidimensional scaling algorithm. The heavy metal content was variable depending on the sediments collection site. The heavy metals nickel, lead, chromium, copper, zinc and cadmium were found in the sediments from stormwater inlets, storm sewer and sanitary sewer channels, with variability in the concentration of individual metals. The sediments from the flushing of sanitary sewers and combined sewers did not contain cadmium. CONCLUSIONS: The content of heavy metals in sediments varied depending on the sampling location and type of sewer system, indicating the need for detailed monitoring to identify the sources of emissions. Sediments from stormwater sewers have higher concentrations of heavy metals, with those from sewer inlets showing zinc concentrations exceeding regulatory limits, highlighting the variability and potential environmental impact of different sewer systems.

A simplified method for determining potential heavy metal leached from sediments of stormwater and combined sewer systems - importance for public health.

INTRODUCTION AND OBJECTIVE: The identification and understanding of interactions between contaminants present in sediments from stormwater and combined sewer systems is a prerequisite for their proper management, and provides a basis for developing effective strategies to minimize their negative impact on humans and the environment. The studypresents the method described in PN-EN 12457-2:2006 as a possible technique for studying the mobility of heavy metals in sediments from stormwater and combined sewer systems. MATERIAL AND METHODS: The presented PN-EN 12457-2:2006 method is a relatively simple technique for preparing extracts for the determination of heavy metals in sediments from stormwater and combined sewer systems, consisting of one-step leaching, which is quick to perform. In addition, it allows determination of the characteristics of the samples to be analyzed, and indicates procedures and tests for evaluating hazardous substances released from solid waste. RESULTS: The results of the concentrations of leached heavy metals: chromium, copper, nickel, lead and zinc, obtained in the study, corresponded to the concentrations of the exchange fraction of sludge when using the recommended method with sequential extraction (Student's t-test, p=0.263). In the literature review conducted, no papers were found on the application of the leaching method to prepare extracts for the determination of heavy metals in sediments from stormwater and combined sewer systems. CONCLUSIONS: The PN-EN 12457-2:2006 method is capable of providing important data on the potential risks to humans and the environment from the presence of contaminants in sewage sludge.

Endocrine disrupting micropollutants in water and their effects on human fertility and fecundity.

INTRODUCTION AND OBJECTIVE: Micropollutants (MPs) are defined as persistent and biologically-active substances which occur in the environment in trace amounts, mainly as a result of industrial processes and human domestic activity. The published experimental data prove that, among other things, MPs present in the environment may also affect and disturb hormonal balance in humans, resulting in impairment of the reproductive function. In addition to the many MPs disrupting endocrine function described in literature and which exert an effect on human reproductive function, the study presents a review of current literature concerning the exposure to Bisphenol A, phthalates, organochlorine pesticides, and pyrethroids. REVIEW METHODS: Two independent authors searched in PubMed and Google scholar (any date until September 2022) for studies concerning chosen endocrine-disrupting MPs in water and their effects on human fertility and fecundity. BRIEF DESCRIPTION OF THE STATE OF KNOWLEDGE: The review of the literature showed that EDMs present in the environment may create risk in the prenatal and postnatal development following premature birth, and exert a negative effect on fertility and reproductive functions in humans, especially during the perinatal period. SUMMARY: The presented review of literature indicates a negative effect of exposure to BPA, phthalates, OC and OP pesticides, as well as to pyrethroids, regarding human reproductive health. It also demonstrated considerable differences according to gender. Generally, there is a definitely stronger evidence for the presence of a cause-effect relationship between the discussed EDMs and a decreased fertility and fecundity in males. The negative effect of exposure to Bisphenol A, phthalates, selected organochlorine pesticides and pyrethroids appears to be quite well documented.

Methodology for preparing a cosmetic sample for the development of Microorganism Detection System (SDM) software and artificial intelligence learning to recognize specific microbial species.

INTRODUCTION AND OBJECTIVE: The article presents the methodology of preparing a cosmetic sample for analysi, and the creation of a dataset for teaching artificial intelligence to recognize specific species of microorganisms in cosmetic samples in terms of compliance with the ISO standard document, to develop of the Microorganism Detection System (SDM). MATERIAL AND METHODS: Methodology of preparation a cosmetic sample for testing covers the steps from taking a cosmetic sample to obtaining separated living microorganisms through staining to photos, which in the final stage are used for analysis of the purity of cosmetics by SDM, as well as for learning and testing of the deep convolutional neural network (CNN) for detecting and classifying cells of specific species of bacteria, fungi and yeast in cosmetics, according to the document of standard PN-EN ISO 17516-2014:11. RESULTS: A new techique was devised for preparing a cosmetic sample for the development of Microorganism Detection System (SDM) software, and artificial intelligence learning to recognize specific microbial species. Based on metod demonstrated, the Intelligent algorithms of SDM proved to be effective in counting and recognizing specific microorganisms (average accuracy for Candida albicans - 97%, Escherichia coli - 76%, Pseudomonas aeruginosa - 70%, Staphylococcus aureus - 85%), which are the most important species for the assessment of the purity of cosmetics. In addition, the reproducibility of the developed method was verified, and the results obtained were comparable to the breeding methods currently used, based on specific standards. CONCLUSIONS: The experiments confirmed the high sensitivity and specificity of the SDM method, its repeatability and, above all, the comparability of the results with clasic methods of European standards.

The Microorganism Detection System (SDM) for microbiological control of cosmetic products.

The Microorganism Detection System (SDM) is a new solution using artificial intelligence, unique on the international scale, to correctly identify and count microorganisms, with particular emphasis on specificlisted microorganisms (Document of Standard PN-EN ISO 17516-2014:11) - Candida albicans, Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus. SDM enables the use of algorithms for microscopic image interpretation in the microbiological assessment of the cosmetics in accordance with the standard, providing an answer to whether the tested product complies with the standard. Apart from the software part of SDM, an integral part of the system is an innovative methodology for preparing a cosmetic sample for testing. The experiments confirm the high sensitivity and specificity of the SDM method, its repeatability and, above all, the comparability of the results with the methods of European standards.

Assessment of the effect of estradiol on biochemical bone turnover markers among postmenopausal women.

INTRODUCTION: Estrogen deficiency found in postmenopausal women may lead to disturbances in the balance of bone metabolism. Study of the influence of estradiol on markers of bone turnover may help to understand the mechanisms of bone metabolism and to monitor osteoporosis therapy in postmenopausal women at high risk of fractures. The aim of the study was evaluation of the effect of estradiol on the basic markers of bone turnover in postmenopausal women. MATERIAL AND METHODS: The study was conducted in a group of 92 postmenopausal women, divided into two groups: Gr-1 with low estradiol levels ≤ 10 pg/ml and Gr-2 with reference estradiol levels ≥ 25 pg/ml). Basic markers of bone turnover were examined: Ctx (C-terminal cross-linked telopeptide of type I collagen alpha chain) and OC (osteocalcin); pro-resorptive cytokines: IL-6 and TNF-α; vitamin 25(OH)D3 and lipid profile. Women was also analyzed according to demographic and clinical data. RESULTS: A positive relationship was found between estradiol and the main bone formation marker - OC (p = 0.041, r = 0.213) and IL-6, TNF-α (p = 0.007, r = 0.281 and p = 0.018, r = 0.246, respectivly, but only in the group with a reference hormone level. Moreover, the main markers of bone turnover: Ctx and OC showed a mutual positive correlation (p = 0.013; r = 0.257) in women with reference estradiol levels. Relationships between markers of bone remodeling, pro-resorptive cytokines and vitamin D3 depending on the level of estradiol showed no statistically significant correlation. CONCLUSIONS: The study showed that only in women with the reference estradiol level (≥ 25 pg/ml) were the bone formation and resorption processes balanced.