Concentrations Of Chemical Elements Research Articles

Chemical Composition and Elements Concentration of Fillet, Spine and Bones of Common Carp (Cyprinus carpio) in Relation to Nutrient Requirements for Minerals.

The aim of the study was to compare the content of major components, selected elements and heavy metals in the fillet, spine and bones of a carp (Cyprinus carpio). Moreover, the extent to which a prepared portion of carp tissue (100 g of fillet and 10 g of carp spine or bones) met the requirements for analyzed elements in adults (women and men) and children was calculated. The proximate composition (total protein, total lipid, ash, moisture) and mineral content of the fish samples were determined. The nutrient composition presented fluctuations among the different tissues. Moisture was the main constituent in the fillet and in the spine with 77.8% and 56.0%, respectively, whereas in bones, the main ingredient was ash (36.2%). All carp tissues were good sources of protein, with 16.5%, 21.0% and 17.0% in spine, bones and fillet, respectively. The most abundant main elements were the potassium in the fillet (4005 mg kg-1) and calcium in the bones (116,463 mg kg-1). The most abundant trace elements were iron in fillet and zinc in bones and spine. Carp meat can be considered a safe foodstuff in terms of concentrations of Hg, Pb and Cd, as the levels of these contaminants were less than FAO and European Commission maximum guidelines.

Detritivores maintain stoichiometric homeostasis, but alter body size and population density in response to altitude induced stoichiometric mismatches

Maintaining a balance between growth needs and available food resources is critical to the development of any organism. Ecological stoichiometry provides a theoretical basis for studying stoichiometric mismatches between organisms and their food resources. Recent studies have shown that detritivore taxa occupying different multidimensional stoichiometric niches (MSNs) exhibit different stoichiometric mismatch patterns. However, changes in stoichiometric mismatch patterns of different functional groups within the same taxon in response to changes in food resources are poorly understood. Here, we investigated changes in the stoichiometric mismatch between litter as major food resource and five functional groups of soil detritivores (millipedes; Diplopoda) for eleven elements along an altitudinal gradient from 800 to 1850 m on Changbai Mountain, Northeast China. We quantified MSNs and multidimensional stoichiometric mismatch patterns, and investigated changes with altitude and relationships with body size and population density. The concentration of chemical elements of litter varied significantly with altitude and this also was true for the trophic stoichiometric mismatch in millipedes. Furthermore, millipede stoichiometry homeostasis resulted in changing stoichiometric mismatches with changing litter element ratios. Element concentrations in litter, specifically N, Ca, P, Na and Cu, impacted the body size and population density of millipedes, with different elements correlating with individual functional groups. The results indicate that consumer-resource stoichiometric mismatches significantly affect detritivore populations, highlighting the predictive power of the multidimensional stoichiometry framework for detritivore community composition in context of environmental change.

Assessment of groundwater quality and alkaline earth metals from the Al Masaraat basin at Al Dhahirah Governorate, Sultanate of Oman

ABSTRACT Comprehending the physicochemical properties of water is vital for efficient groundwater management in the research area. Groundwater often sees an increase in chemical element concentrations as it moves underground due to water-rock interaction. Water quality is assessed by comparing various parameter levels with drinking water standards. The primary goal of this study is to assess the groundwater quality from Al Dhahirah Governorate by analysing the physicochemical characteristics (pH, EC, TDS, TH, and T) and evaluating the concentrations of alkali and alkaline earth metals. It involved collecting groundwater samples from 11 different sites in the area and using Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES) to analyse various elements, such as Ca, Na, Mg, and Sr. The study’s results reveal that the quality parameters of drinking water sources are within the Omani and World Health Organization (WHO) standards, except for Na, Mg, Sr, and TH level. The average concentrations of Na and Mg were 527.64 and 87.93 mg/L, respectively, while the average TH measured 658.86 mg/L, which is classified as very hard. The analysis of correlations among groundwater quality parameters indicates that physicochemical parameters influence the chemical properties of groundwater. To ensure safe drinking water, it is advisable to treat contaminated water before use and regularly monitor its quality. The findings contribute to the understanding of water quality in this region, providing valuable insights for environmental and public health considerations.

Presence of hazardous chemical elements in low-cost children's toys: A risk to their development in early childhood

ObjectivesThe objectives of the current study was to study the presence of hazardous chemical elements (Ba138, Cd111, Cr52, Pb208, As75, Co59, Cu63, Mn55, Ni60, Se82, Sr88, Zn66 and Hg202) in low-cost children's toys, and the effect of color types on chemical element concentrations. MethodsChildren's toy samples were analyzed using microwave digestion and inductively coupled plasma/mass spectrometry (ICP/MS) method. Samples were prepared into small pieces, and 500 mg of homogenized sample was used for digestion by means of digesting regents HNO3 (65 %, 5 mL) and H2O2 (35 %, 1 mL). During the digestion process, the pressure was held constant at 90 bar and the temperature, hold time, and power were varied 150–170-40° C, 10–30-5 min, 70–90-0 %, respectively. The main operating conditions of ICP/MS were: spray chamber temperature (−20 °C), RF Power (1450 W), nebulizer gas flow (0.9 L/min), auxiliary gas flow (0.8 L/min) and plasma gas flow (14.85 L/min). Samples and blanks were analyzed for 30 s and system was operated in standard mode. ResultsThe excellent method performance was achieved in terms of limit of detection (LOD, 0.001–14.89 µg/L); limit of quantification (LOQ, 0.003–45.12 µg/L); correlation coefficient (R2, 0.975–0.999) with relative standard deviation values (RSD, 0.70–4.98 %). Chemical elements were found in all the toys (0.01–742.72 ng/g) except sample S2 where only Hg202 was found (0.01 ng/g). Outcomes revealed that the Hg202 was present at a very low level (0.01 ng/g) while Zn66 was present at very high level (742.72 ng/g). Furthermore, the toys contamination was also found to be color-specific, with significant amount of chemical elements was found in black type car sample (S5, 946.98 ng/g) whereas other color type samples constitute lower amounts (0.001–210.53 ng/g). Low-cost toys designed for children's use are found to contain chemical elements that should be addressed in the course of action. As a result of exposure to high amounts of chemical elements in toys, children have a high chance of developing cancer.

Concentration Weathering of some Agrochemicals in Runoff and Soil Interface on the National Centre for Agricultural Mechanization (NCAM) Farm, Ilorin, Nigeria

Agrochemicals are needed to boost agricultural productivity, but substantial quantities are either transported into surface water through runoff or leached into groundwater, which may eventually lead to environmental degradation and pollution. Although several studies have been carried out on the effects of agrochemicals o soil and water qualities but the rate of dissipation of agrochemicals along their pathways are not fully understood yet. The aim of this study therefore was to investigate the level of dissipation of agrochemical elements and compounds as they moved along the furrow. Four experimental fields - NPK fertilizer, urea fertilizer, pesticides (organochlorine) and herbicides (glyphosate) were prepared for this study. The selected agrochemicals were applied on the experimental field and the concentration of chemical elements (electrical conductivity, pH, nitrogen, phosphorus, manganese, zinc, magnesium, potassium, glyphosate and organochlorine) along the furrow were measured at intervals (1 m on a 20 m row) using standard techniques. The range of electrical conductivity, pH, nitrogen, phosphorus, manganese, zinc, magnesium and potassium concentrations for runoff from NPK fertilizer applied field were: 95.75 - 174.51 µS/cm, 5.72 - 7.54, 0.21 - 0.68%, 0.09 - 0.36%, 0.1 - 0.47 mg L-1, 0.25 - 0.66 mg L-1, 4.63 - 7.88 mg L-1 and 7.28 - 16.15 mg L-1; for runoff from Urea fertilizer applied field, the range were: 176.25 - 186.33 µS/cm, 7.14 - 7.64, 0.21 - 0.48 %, 0.21 - 0.38%, 0.41 - 0.65 mg L-1, 0.23 - 0.49 mg L-1, 5.48 - 7.64 mg L-1and 8. 23 - 10.46 mg L-1. The range of electrical conductivity, pH, nitrogen, phosphorus, manganese, zinc and magnesium concentrations for runoff from glyphosate applied field were: 114.00 - 283.78 µS/cm, 6.49 - 7.82, 0.13 - 0.67 mg/kg, 0.03 - 0.09%, 0.41 - 1.60 mg L-1, 0.45 - 2.59 mg L-1, 8.35 - 12.76 mg L-1; and for runoff from organochloride applied field the range were: 344.37 - 380.48 µS/cm, 6.66 - 7.86, 0.30 - 0.56 mg/kg, 0.05 - 0.18%, 0.68 - 0.91 mg L-1, 0.81 - 1.45 mg L-1 12.48 - 14.68 mg L-1. The concentration of agrochemical elements and compounds disintegrate along the furrows on all agrochemical fields except in the case of pH.

Background Concentrations of Chemical Elements in Plants Inhabiting the Northern Part of Western Siberia and Changes They Undergo under the Impact of Oil and Gas Production

Background Concentrations of Chemical Elements in Plants Inhabiting the Northern Part of Western Siberia and Changes They Undergo under the Impact of Oil and Gas Production

Закономерности в распределении химических элементов в листьях березы

The biological activity of medicinal plant raw materials and herbal remedies is due to a complex of biologically active substances and chemical elements. The study of the influence of growth conditions on the composition and content of chemical elements in medicinal plants and medicinal plant raw materials is relevant. Of particular interest is the study of patterns in the distribution of chemical elements in medicinal plants, medicinal plant raw materials and the possibility of using the identified patterns to establish the authenticity and purity of raw materials. Birch leaves collected in an ecologically clean area and in areas with varying degrees of anthropogenic load were studied. The composition and content of elements were analyzed by ICP-MS (ELAN DRC-e ICP-MS mass spectrometer, Agilent 715 ICP-OES optical emission spectrometer). Statistical processing of the results of chemical analysis was carried out in Microsoft ® Excel 2010. The concentrations of 60 elements were compared using the least squares method. A comparative analysis of the logarithms of concentrations in birch leaves collected from growing areas that differ in the degree of anthropogenic load showed a strong correlation between them (r = 0.99; R2 = 0.9). A diagram showing the periodic dependence of the logarithm of the concentrations of chemical elements represents the elemental profile of birch leaves and can be usedto determine their authenticity and purity.

Spatializing soil elemental concentration as measured by X-ray fluorescence analysis using remote sensing data

Spatial soil information has significantly contributed to public policy and planning. The use of X-ray fluorescence spectrometry (XRF) in soil science, primarily in laboratory settings or for isolated point analyses, has been well documented. This study broadens the application of XRF data by integrating it with remote sensing data for a comprehensive understanding of soil patterns and processes. Focusing on a 2574 km2 area in Brazil, we utilized a lab-based XRF instrument to measure the total concentrations of key chemical elements in the soil, such as Al, Si, Ti, and Fe. These geochemical data were then spatialized using the digital soil mapping (DSM) framework. We employed a synthetic bare soil image and elevation data as covariates in the analysis. The spatial accuracy assessment yielded R2 values ranging from 0.65 to 0.81 for Fe, 0.62 to 0.78 for Ti, 0.52 to 0.63 for Si, and 0.48 to 0.63 for Al. The digital soil maps of geochemical elements aligned well with existing pedological, and geological maps as evaluated using multiple correspondence analysis. The integration of spatialized XRF data with DSM and remote sensing techniques shows significant promise in assessing soil variations across landscapes based on their chemical composition.

Spatial distribution of potentially toxic elements in soils and water bodies of the Kostanay region in Kazakhstan

ABSTRACT Knowledge of the distribution patterns of potentially toxic elements (PTE) is essential for assessing and predicting the dynamics of landscapes under anthropogenic influences. As a case study, soil-forming rocks, soils and water bodies of the Kostanay region in the Republic of Kazakhstan were studied for the presence of potentially toxic elements (PTE) through analysing concentrations of different chemical elements within them. Study areas were selected across the region - ones with differing natural settings and liable to differing anthropogenic influences from industrial and agricultural landuses - and specific key sites were selected in each area from which soil and water samples were taken. Soil profiles were extracted, with the deepest horizons being taken as indicative of underlying soil-forming rocks, and with the upper horizons being taken as indicative of the soil per se. Soil samples were taken from soil profiles along horizons to study the distribution of chemical elements. These samples were analysed using the atomic absorption method to determine their respective contents of differing chemical elements, and hence PTE. The obtained data suggests the spatial distribution of PTEs across the soils and water bodies of the Kostanay region.

Remote Sensing & GIS Integration Bases Evaluation of Ground Water Quality in Telangana State, India

About 85% of drinking water needs in rural and 40% drinking water needs in urban areas are met from groundwater resources in Telangana state. There is a huge demand of ground water for different uses like agriculture, drinking and industrial purposes as the command area is very low in the state and it is evidenced by the fact that around 70% irrigation is dependent on ground water sources as compared to other surface sources like Tanks/Canals/Reservoirs etc. Climate change has affected the hydrological cycle with uncertain and increased variability in rainfall followed by with high rainfall in a short span of time resulting more surface runoff which ultimately decreases there charge to groundwater. Decreased recharge to the groundwater and excess withdrawal of groundwater has accelerated the depletion of groundwater resources there by resulting in stress on groundwater regime in terms of quality as well as quantity. The groundwater quality evaluation of Telangana state is carried out by using legacy quality data (2012-14) collected from Rural Water Supply & Sanitation Department, Government of Telangana. Contamination spread of groundwater is one of the most important concerns that have received attention at regional, local and global levels because of their importance on public health and its further impact in ecosystems. The spatial distribution of chemical parameters like pH, Total Dissolved Solids (TDS), Total Hardness (TH), Total Alkalinity (TA), Fluoride (F), Chloride (Cl), Iron (Fe), Nitrate (NO3) and Sulfate (SO4) are examined with respect to its contamination level. The spatial distribution and concentration of chemical elements is carried out by using spatial interpolation technique namely Inverse Distance Weightage (IDW) method from the point source data. The distribution maps reveal important information to understand the hot spot areas of the groundwater systems and for identification of potential areas for providing safe drinking water supply. Site specific water conservation and artificial recharge measures are needed to be taken up with scientific lines by using Remote Sensing & GIS techniques, for enhancing the groundwater storage and also improving its quality.

Can blood morphology, oxidative stress, and cholinesterase activity determine health status of pigeon Columba livia f. urbana?

Environmental studies in Northern Poland are example of the functioning of ecophysiological relationships under anthropogenic impact. The aim of our studies was to investigate sex-dependent effects on the alterations in the concentration of chemical elements in soil samples collected from habitats of feral pigeon Columba livia f. urbana from Northern Poland, as well as feathers, biomarkers of oxidative stress, antioxidant defense, and total cholinesterase activity in tissues (liver, kidney, brain). Concentration of Si, Zn, and Pb in feathers of pigeons was significant. The levels of Si and Zn were higher in feathers of females from non-polluted, while higher Pb levels were found only in females from polluted areas (p = 0.000). This was confirmed by MANOVA of biomarkers of antioxidant defense, elements concentration, and revealing the order of effects: tissue type > environment > sex. Erythrocytes of males living in polluted areas were more fragile to hemolytic agents resulting in a higher percentage of hemolyzed erythrocytes. The effects of polluted environment on the level of carbonyl derivatives of oxidatively modified proteins compared to the effects of sex were more pronounced in the case of kidney (p = 0.000) and hepatic tissues (p = 0.000). Polluted areas were associated with significant increase in SOD activity in the brain and hepatic tissues of pigeons (p = 0.000). Health status of feral pigeons is significantly different in conditions of environmental destabilization.

Элементный статус населения как индикатор экологического загрязнения

As it is known from numerous scientific data, human health is mainly influenced by the environment and food. As is known, the concentration of chemical elements in hair reflects the ecological state of the territory, which is formed under the influence of natural and/or anthropotechnogenic factors. The formation of causal relationships between the environmental risk of the occurrence and development of the disease of androgenic alopecia served as the basis for the qualitative and quantitative characteristics of the factors influencing the occurrence of the disease in question on the example of residents of the Krasnoyarsk Territory. The presented analysis of correlations between the quantitative content of macro- and microelements in the environment, food and the quantitative content of elements in hair allowed us to establish many reliable links. At the same time, reliable correlations have been established to a greater extent between the content of chemical elements in hair and grain products. Whereas for trace elements contained in the soil and in the hair, a minimum value was established, which, in our opinion, is due to the fact that the gross content of the studied macro-trace elements was determined in the soil. Keywords: ENVIRONMENTAL RISK, ANDROGENIC ALOPECIA, TRACE ELEMENT STATUS, CONCENTRATION OF CHEMICAL ELEMENTS, ENVIRONMENT

BENTHIC MACROINVERTEBRATE COMMUNITY IN TWO AMAZONIAN UPLAND LAKES

Studies of biological communities in Amazonian lakes are limited to floodplains of large rivers. However, the high-altitude lakes of the Serra dos Carajás differ from other lakes in the region due to the high natural concentration of iron and manganese. An important component of this biological community are the macroinvertebrates, some of which are sensitive to environmental and chemical variables. However, little is known about the influence of heavy metal concentrations on this community component in Amazonian lakes. In our study, we observed the importance of variables such as water depth and concentration of chemical elements in sediments on the macroinvertebrate community. Through a redundancy analysis, we found that the depth of the lake affects the number of species and the composition of the benthic macroinvertebrate community. We also found a relative importance of the concentration of manganese in the sediment for the community studied. Our results indicate that the macroinvertebrate community is differentiated in the marginal and central regions of the lake, since the deposition of organic matter and heavy metals in the sediment is different in these two regions of the lake. The relationship found has implications for the management and restoration of upland lakes in the Amazon, helping to preserve this unique ecosystem.

Neutronic Activation of Amazon Technogenic Deposit Soil Used as Raw Material in Brick Manufacture

Considering the extraction of soil from Technogenic Deposits, may result in the risk, this article investigated whether in the brick making process, there is a possibility that chemical elements, considered linked to human illness, may have evidence of release to the environment. The adopted strategy was to subject both the soil, as well as the brick manufactured with this soil, to the Neutronic Activation test, later, through the mass balance, to verify the variations in the global concentrations of chemical elements. The results show that of the 27 elements analyzed, 25 showed a reduction in their concentrations after the burning of the soil. As the systematic literature review points out, the release of these chemical elements to the environment, is intrinsically linked to the decrease in the environmental quality of the built environment, therefore, it is an indication of possible risks for human health.

Combining mid-infrared spectroscopy and machine learning to estimate nutrient content in plant tissues of yerba mate (Ilex paraguariensis A. St. Hil.)

Mid-infrared diffuse reflectance spectroscopy with machine learning methods has been studied worldwide for estimating nutrient content in plant tissue of numerous plant species. Therefore, this study aimed to evaluate the best combination of spectral preprocessing and machine learning methods for estimating the concentration of chemical elements in leaf tissues of Ilex paraguariensis. From 2019 to 2021, 111 samples were collected from farms throughout Rio Grande do Sul State in southern Brazil. The total concentration of 11 nutrients (N, P, K, Ca, Mg, B, S, Mn, Fe, Cu, and Zn) and the spectra recorded in the mid-infrared range (2500– 18,000 nm) were obtained. The original spectrum underwent detrending, standard normal variate, and Savitzky-Golay derivative (SGD) spectral preprocessing. Multivariate partial least squares regression and support vector machine models were used to calibrate the spectra based on the nutrient concentrations obtained from the conventional analytical method. The models’ performance was evaluated using the coefficient of determination, the ratio of performance to the interquartile range, and the root mean square error of prediction. The support vector machine model combined with SGD preprocessing resulted in a more accurate prediction of the 11 elements studied in leaf tissue samples.

Influence of mother’s genotype on the concentration and variability of triiodothyro- nine in landrace pigs

One of the leading roles in the hormonal system of the body of pigs in terms of functional significance is played by the thyroid gland, which, through the hormone triiodothyronine, has a complex effect on all systems, organs and physiological processes while controlling the metabolism and energy in the animal’s body. The impact of maternal genotype on the concentration and variability of triiodothyronine in complete siblings of Landrace pigs was studied. For the study, blood serum samples were taken from 33 pigs using the vacuum method from the jugular vein. Blood samples were taken according to generally accepted practices. The studies were carried out in the laboratory of the biochemistry of the Novosibirsk State Agrarian University using the technique of competitive enzyme immunoassay with a set of reagents “Steroid ELISA-triiodothyronine” to quantify the concentration of triiodothyronine in blood serum. Enzyme immunoassay was performed on a Thermo Scientific Multiskan FC analyser. In pig breeding, the content of heavy metals in water, soil, feed, organs and tissues was constantly monitored. The concentration of chemical elements did not exceed the MPC level. Statistical processing of experimental data was carried out using standard methods of descriptive statistics and the statistical programming language or data analysis environment RStudio (using the functions: descrstats, summary, sd, read.table, write. table, aes). The strength of the influence of the genotype of mothers of the Landrace breed on the triiodothyronine content in complete siblings in the conditions of Western Siberia was established, which amounted to 4.6 %. In some mothers’ offspring, the triiodothyronine level was 1.9 and 1.8 times higher than in others. Two clusters of mothers were identified according to the concentration of triiodothyronine in complete siblings, which included three groups of mothers with an average level of 2.26 nmol/l and five groups with the attention of 1.30 nmol/l. The reference limits of the triiodothyronine level in Landrace pigs in the conditions of Western Siberia were established.

The content of chemical elements in <i>Trаpa nаtans</i> and <i>Nymphoides peltata</i> of the Volga Delta

Aim. To identify the specific features of the accumulation of heavy metals in Trаpa nаtans and Nymphoides peltata in the Volga delta. Materials and Methods. Plant sampling was carried out in the Astrakhan State Nature Biosphere Reserve. Determination of the concentration of chemical elements was carried out using atomic absorption spectrophotometry. Results. As a result of the research it was noted that the plant species studied had some similarities in the accumulation of chemical elements. In both types of plants iron was predominantly accumulated, manganese content being in second place in terms of metal concentration. Chromium and cadmium were found to be in the lowest concentrations. Nymphoides peltata is an iron accumulator compared to Trapa natans. The leaves of Trapa natans are manganese concentrators, while the stems are copper concentrators. Conclusions. Based on the specific features identified in the accumulation of chemical elements in plants, a proposal is put forward regarding the possibility of using the leaves and stems of Nymphoides peltata as a test object for monitoring iron and chromium concentrations in water and the leaves of Trapa natans for monitoring copper concentrations in water.

Benthic fauna along sandy beaches enriched by metals after mining disaster

In 2015, 60 million tons of ore tailings from the Fundão dam failure entered the Doce River basin, Brazil, and reached surrounding sandy beaches. This study evaluated the influence of sedimentology and morphology of beaches that received mining tailings on chemical element concentrations and consequent benthic community responses. We collected sediments for physical (granulometry, heavy mineral, and calcium carbonate content) and geochemical (chemical elements) analyses and biological diversity parameters (benthic macro- and meiofauna density, richness, and composition) on 8 beaches with different morphodynamic types. Beaches with more dissipative characteristics retained the highest contents of mud, As, Fe, Mn, V, and heavy minerals, present in the tailings. We also recorded the lowest density and richness of macrofauna on these beaches, compared to more reflective beaches. These results contradict the global trend, suggesting that anthropic disturbances outweigh the effects of morphodynamics in structuring the benthic fauna community, mainly in dissipative sandy beaches.

Vine Copula Model: Application to Chemical Elements in Water Samples

Copula can link the bivariate distribution function with marginal distribution functions without requiring specific information about the interdependence among random variables. There are several types of copulas, such as elliptical copulas, Archimedean copulas, and extreme value copulas. However, in multivariate modeling, each type of copula has limitations in modeling complex dependence structures in terms of symmetry and tail dependence properties. The class of vine copulas overcomes these limitations by constructing multivariate models using bivariate copulas in a tree-like structure. The bivariate copulas used in this study include the Clayton, Gumbel, Frank, Gaussian, and Student's t copula families. This study discusses the construction of vine copula models, parameter estimation, and their applications. The construction of vine copulas is done through the decomposition of conditional probability density functions and substituting bivariate copula density functions into the decomposition results. The data used in the study is the logarithm of the concentration of chemical elements in water samples in Colorado. The parameter estimation method used is pseudo-maximum likelihood with sequential estimation. Model selection is then performed using the Akaike information criterion (AIC) to determine the most suitable model. The results indicate that Caesium and Titanium have a dependency relationship with Scandium. Moreover, Scandium and Titanium exhibit the strongest dependence compared to other variable pairs.

Modulation of growth and chemical element accumulation in <i>Fragaria × ananassa</i> plants <i>in vivo</i> under the effect of silicon chelates

Due to the protective role played by silicon in plants against unfavorable environmental conditions, siliconcontaining preparations are of considerable interest as biostimulants. In this work, a mechanical composite of rice husk and green tea containing soluble silica chelate complexes was used as the source of silicon. The study aims to examine the effect of silicon chelates on the growth and physiological parameters and the chemical composition of Fragaria × ananassa plants (Solnechnaya Polyanka variety) under greenhouse conditions. The plants were watered using water without a mechanical composite (control) or an aqueous solution containing 0.3 g/L of mechanical composite twice per period. Sampling was carried out one week after the last treatment. In order to determine the concentration of chemical elements (Si, P, S, Cl, K, Ca, Ti, Mn, Fe, Ni, Cu, Zn, Br, Rb, Sr, and Mo) in the roots and shoots of garden strawberry, it was proposed to use synchrotron X-ray fluorescence analysis. The use of the mechanical composite was shown to increase the amount of chlorophyll a, chlorophylls a and b, and carotenoids; decrease the amount of hydrogen peroxide; and increase the activity of the main antioxidant enzymes (superoxide dismutase, catalase, and peroxidase). It was determined that under the effect of the preparation, silicon accumulates primarily in shoots, affecting the accumulation of micro- and macroelements in the shoots and roots of plants. The obtained results substantiate the use of silicon-containing “green chemistry” as a means of controlling the growth and development of garden strawberry plants under in vivo conditions.