1 December 29, 2025
1. Aliyu Bello, Iliyasu A. A Ibrahim
Assessing the Ecological Impact of Cassava Mill Effluent on Soil Microbiology and Physicochemistry
European Reviews of Chemical Research. 2025. 12(1): 3-9.
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2. Liudmila V. Malygina, Semyon N. GontaEuropean Reviews of Chemical Research. 2025. 12(1): 3-9.
Abstract:
This study examined the effects of cassava mill effluent on soil microbiological and physicochemical properties to evaluate its environmental implications. Soil samples from three sites (A-C) were analyzed for microbial diversity and abundance, with a focus on impacted soil contaminated with cassava effluent. Microbial analysis revealed the predominance of Bacillus sp. and Pseudomonas sp. (28.6 %) among bacterial isolates, while Penicillium sp. (27.2 %) was the most common fungal isolate. Impacted soil exhibited higher bacterial counts (7.8 × 10⁵ cfu/g), but fungal growth was suppressed. Physicochemical analysis indicated significant alterations in soil chemistry due to cassava mill effluent, with elevated levels of nitrogen (797 mg/l), potassium (459 mg/l), and phosphorus (432 mg/l) in impacted soil. However, the study also highlighted substantial heavy metal contamination, including copper and iron, posing toxicity risks. The findings suggest that cassava mill effluent enhances microbial activity but concurrently degrades soil quality. Antibiotic sensitivity testing revealed the resilience of certain isolates, such as Bacillus sp., with Ciprofloxacin exhibiting the highest inhibitory activity. The study concludes that while cassava mill effluent introduces beneficial nutrients for microbial growth, its acidity, heavy metal content, and potential to foster antibiotic-resistant microorganisms pose environmental and health risks. These findings emphasize the urgent need for effective effluent management practices to mitigate soil degradation and ecological imbalances.
This study examined the effects of cassava mill effluent on soil microbiological and physicochemical properties to evaluate its environmental implications. Soil samples from three sites (A-C) were analyzed for microbial diversity and abundance, with a focus on impacted soil contaminated with cassava effluent. Microbial analysis revealed the predominance of Bacillus sp. and Pseudomonas sp. (28.6 %) among bacterial isolates, while Penicillium sp. (27.2 %) was the most common fungal isolate. Impacted soil exhibited higher bacterial counts (7.8 × 10⁵ cfu/g), but fungal growth was suppressed. Physicochemical analysis indicated significant alterations in soil chemistry due to cassava mill effluent, with elevated levels of nitrogen (797 mg/l), potassium (459 mg/l), and phosphorus (432 mg/l) in impacted soil. However, the study also highlighted substantial heavy metal contamination, including copper and iron, posing toxicity risks. The findings suggest that cassava mill effluent enhances microbial activity but concurrently degrades soil quality. Antibiotic sensitivity testing revealed the resilience of certain isolates, such as Bacillus sp., with Ciprofloxacin exhibiting the highest inhibitory activity. The study concludes that while cassava mill effluent introduces beneficial nutrients for microbial growth, its acidity, heavy metal content, and potential to foster antibiotic-resistant microorganisms pose environmental and health risks. These findings emphasize the urgent need for effective effluent management practices to mitigate soil degradation and ecological imbalances.
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The Journal “European Reviews of Chemical Research” (2014–2024): A Thematic Review of Published Research over the last 10 years
European Reviews of Chemical Research. 2025. 12(1): 10-20.
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3. Theodor K. Orekhov, Oleg V. GradovEuropean Reviews of Chemical Research. 2025. 12(1): 10-20.
Abstract:
This article is devoted to the ten-year (2014–2024) results of the publication activity of the journal “European Reviews of Chemical Research” and its authors. The materials for this work are the studies that were published in the journal in the period from 2014 to 2024. The research methodology is presented by both general scientific and special research methods. In the article, the authors provide a thematic analysis of the works that were published in the journal “European Reviews of Chemical Research”. In conclusion, the authors note that over the ten-year period of the journal’s existence, 76 articles on various areas of chemical science were published in it. Separately, the authors note the language ratio of publications, where 80 % of all articles were published in English and the remaining 20 % were published in Russian, which allows expanding the reach of the journal’s readership.
This article is devoted to the ten-year (2014–2024) results of the publication activity of the journal “European Reviews of Chemical Research” and its authors. The materials for this work are the studies that were published in the journal in the period from 2014 to 2024. The research methodology is presented by both general scientific and special research methods. In the article, the authors provide a thematic analysis of the works that were published in the journal “European Reviews of Chemical Research”. In conclusion, the authors note that over the ten-year period of the journal’s existence, 76 articles on various areas of chemical science were published in it. Separately, the authors note the language ratio of publications, where 80 % of all articles were published in English and the remaining 20 % were published in Russian, which allows expanding the reach of the journal’s readership.
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Integrated Spectrozonal/Multispectral Lens-Less Optical Microscopy and Scanning Electron Microscopy as Novel Combined Chemometric Instruments for Food Science
European Reviews of Chemical Research. 2025. 12(1): 21-36.
Number of views: 7 Download in PDF
4. European Reviews of Chemical Research. 2025. 12(1): 21-36.
Abstract:
Food samples are heterogeneous and structured media that require investigation with spatial resolution or positional sensitivity for meaningful metrological data interpretation. When analyzing such materials at a specific scale characteristic to the sample's texture, any averaged information loses its significance without structural context. This leads to overlapping peaks in analytical signals, which could be effectively separated only by introducing position-specific resolution adequate to the size of structures carrying biochemical properties and descriptors responsible for these signals. The solution lies in quantitative analytical microscopy. These methods include various spectral ranges ensuring qualitatively different measurement approaches and characterization possibilities, all crucial for comprehensive understanding of target substances' structure and composition. This article discusses the integration of multiple diagnostic tools and provides analytical reasoning supporting this approach as well as highlighting current methodological and technical limitations preventing broader implementation. It serves primarily as a background resource for potential users from the food industry seeking consultation on adopting such advanced techniques, particularly when considering their applicability to particular research objects described herein or following general technical guidelines provided.
Food samples are heterogeneous and structured media that require investigation with spatial resolution or positional sensitivity for meaningful metrological data interpretation. When analyzing such materials at a specific scale characteristic to the sample's texture, any averaged information loses its significance without structural context. This leads to overlapping peaks in analytical signals, which could be effectively separated only by introducing position-specific resolution adequate to the size of structures carrying biochemical properties and descriptors responsible for these signals. The solution lies in quantitative analytical microscopy. These methods include various spectral ranges ensuring qualitatively different measurement approaches and characterization possibilities, all crucial for comprehensive understanding of target substances' structure and composition. This article discusses the integration of multiple diagnostic tools and provides analytical reasoning supporting this approach as well as highlighting current methodological and technical limitations preventing broader implementation. It serves primarily as a background resource for potential users from the food industry seeking consultation on adopting such advanced techniques, particularly when considering their applicability to particular research objects described herein or following general technical guidelines provided.
Number of views: 7 Download in PDF