1 December 25, 2025
Articles
1. Pavel L. Alexandrov, Mikhail K. Filippov, Theodor K. Orekhov
Molecular Paleodentronics and Atomic Paleodentronics Using Electron Microprobe, X-Ray Microprobe, Nuclear Microprobe and Robotic Mass Spectrometric Analysis
European Journal of Molecular Biotechnology. 2025. 13(1): 3-19.
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2. Oleg V. Gradov, Theodor K. OrekhovEuropean Journal of Molecular Biotechnology. 2025. 13(1): 3-19.
Abstract:
The article explores the concepts of moleular dentronics (including molecular palaeodentronics and molecular archaeodentronics), which refers to the integration of robotic microanalysis and artificial intelligence into dental analysis. It also discusses molecular and atomic approaches used for analyzing tooth tissues at various levels—from molecular fingerprinting to isotope analysis (atomic dentronics, isotopic dentronics). Historical references are made to earlier uses of similar terms related to image processing but clarify that current applications focus on medicine rather than comparative morphology or molecular biology. In the conceptual framework of “molecular dentronics” various methods such as molecular profiling, imaging techniques (including mass spectrometric imaging). These methodologies allow for detailed examination of teeth structure down to individual atoms. Isotope-based analyses provide insights into archaeological, paleontological, and climatological contexts. Emphasis is placed on automated systems like automatic/robotic electron microscopy and microprobe analysis, where robots assist with sample preparation and data collection. Modern technologies enable precise manipulation within robotized scanning electron microscopes, paving the way for new fields like elasmobranch tooth research. Also robotic mass spectrometry techniques demonstrate the potential for fully automated systems capable of handling biological samples efficiently. Open-source software and low-cost hardware solutions further enhance accessibility and scalability. Automation and robotics offer practical solutions through open-source protocols and affordable technology platforms like Arduino. The paper concludes that there are significant opportunities for developing new interdisciplinary sciences based on advanced analytical techniques applied to fossilized teeth. Molecular, atomic, and isotopic dentronics could contribute valuable comparative morphological data for evolutionary analysis and embryological or paleoembryological studies.
The article explores the concepts of moleular dentronics (including molecular palaeodentronics and molecular archaeodentronics), which refers to the integration of robotic microanalysis and artificial intelligence into dental analysis. It also discusses molecular and atomic approaches used for analyzing tooth tissues at various levels—from molecular fingerprinting to isotope analysis (atomic dentronics, isotopic dentronics). Historical references are made to earlier uses of similar terms related to image processing but clarify that current applications focus on medicine rather than comparative morphology or molecular biology. In the conceptual framework of “molecular dentronics” various methods such as molecular profiling, imaging techniques (including mass spectrometric imaging). These methodologies allow for detailed examination of teeth structure down to individual atoms. Isotope-based analyses provide insights into archaeological, paleontological, and climatological contexts. Emphasis is placed on automated systems like automatic/robotic electron microscopy and microprobe analysis, where robots assist with sample preparation and data collection. Modern technologies enable precise manipulation within robotized scanning electron microscopes, paving the way for new fields like elasmobranch tooth research. Also robotic mass spectrometry techniques demonstrate the potential for fully automated systems capable of handling biological samples efficiently. Open-source software and low-cost hardware solutions further enhance accessibility and scalability. Automation and robotics offer practical solutions through open-source protocols and affordable technology platforms like Arduino. The paper concludes that there are significant opportunities for developing new interdisciplinary sciences based on advanced analytical techniques applied to fossilized teeth. Molecular, atomic, and isotopic dentronics could contribute valuable comparative morphological data for evolutionary analysis and embryological or paleoembryological studies.
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Towards Vectrorscopic Visualization Techniques in Spectrozonal and Multispectral Sequencing Methods: From Spectrozonal CMOS-Sensor-Based On-Chip Sequencing Instruments to Pseudocolor TEM-Assisted Gene Mapping Protocols
European Journal of Molecular Biotechnology. 2025. 13(1): 20-43.
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3. Lyubov' A. Wasserman, Oleg V. GradovEuropean Journal of Molecular Biotechnology. 2025. 13(1): 20-43.
Abstract:
The article addresses the classification of modern DNA sequencing methods that utilize fluorescent labels for spectrozonal and multispectral visualization and differentiation of analytical signals. It focuses particularly on multicolour (spectral) labelling techniques applied in cytometry, fluorescence-based nucleotide mapping, and other biological research protocols. The text reviews historical developments from the late 1980s onwards, emphasizing the introduction of multi-spectral registration technologies such as those implemented by early second-generation sequencers like ABI 373. Furthermore, it discusses the relevance of analogue and digital signal processing methodologies (inclluding vectorscope-based and waveform monitor assisted ones) in extracting meaningful information from chromatic data captured using photodetectors or CMOS sensors, highlighting their importance not only in visualisation but also in statistical analysis of genomic data. Finally, the article examines the potential application of less common yet promising techniques such as TEM-assisted sequencing and waveform/vectorscope monitoring, suggesting novel directions for future exploration in biophysical instrumentation for molecular biology.
The article addresses the classification of modern DNA sequencing methods that utilize fluorescent labels for spectrozonal and multispectral visualization and differentiation of analytical signals. It focuses particularly on multicolour (spectral) labelling techniques applied in cytometry, fluorescence-based nucleotide mapping, and other biological research protocols. The text reviews historical developments from the late 1980s onwards, emphasizing the introduction of multi-spectral registration technologies such as those implemented by early second-generation sequencers like ABI 373. Furthermore, it discusses the relevance of analogue and digital signal processing methodologies (inclluding vectorscope-based and waveform monitor assisted ones) in extracting meaningful information from chromatic data captured using photodetectors or CMOS sensors, highlighting their importance not only in visualisation but also in statistical analysis of genomic data. Finally, the article examines the potential application of less common yet promising techniques such as TEM-assisted sequencing and waveform/vectorscope monitoring, suggesting novel directions for future exploration in biophysical instrumentation for molecular biology.
Number of views: 1 Download in PDF
Starch Aggregation and Aggregometry: Fromthe Molecular to the Microstructural Level, from Physical Chemistry to Molecular Biology and Taxonomy (Tutorial Review/Lecture)
European Journal of Molecular Biotechnology. 2025. 13(1): 44-60.
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4. European Journal of Molecular Biotechnology. 2025. 13(1): 44-60.
Abstract:
Starch aggregation is a critical topic of interest for raw material quality assessment and the food industry. The size of starch granules and their surface roughness influence digestion efficiency and processing speed both within organisms and during technological operations. Starch's aggregation structure at supramolecular ultra-microscopic levels determines its assimilation effectiveness across different consumer types, including primary consumers with active microbiota versus secondary or higher-order consumers, as well as ruminants vs non-ruminants among first-order consumers. Digestive processes can involve either molecular transfer mechanisms through enzymatic hydrolysis chains or whole-granule uptake via phagocytosis, which may occur under normal conditions or pathological ones such as peritonitis. Phagocytic events are facilitated by immune system components like calcium-dependent lectins and collagens from glycoprotein superfamily, ensuring physical feasibility of intact granule transport. Furthermore, external factors like rheology and hydrostatic pressure affect starch morphology, leading to correlations between native or processed granule shapes and metabolic performance that impact organoleptic properties and nutritional value. The paper proposes a comprehensive classification framework for analyzing starch aggregation phenomena across various levels: molecular structural, supramolecular, physicochemical, etc. This structured approach aims not only to classify but also predict functional attributes of starch samples based on measurable parameters, leveraging machine learning techniques to ensure accurate identification and correlation analysis without human bias. Ultimately, this methodology could enhance product quality control, improve diagnostic tools, and contribute to broader biophysical insights into life origins, given the historical significance of starch-containing coacervates in pre-biotic evolution studies since the mid-twentieth century.
Starch aggregation is a critical topic of interest for raw material quality assessment and the food industry. The size of starch granules and their surface roughness influence digestion efficiency and processing speed both within organisms and during technological operations. Starch's aggregation structure at supramolecular ultra-microscopic levels determines its assimilation effectiveness across different consumer types, including primary consumers with active microbiota versus secondary or higher-order consumers, as well as ruminants vs non-ruminants among first-order consumers. Digestive processes can involve either molecular transfer mechanisms through enzymatic hydrolysis chains or whole-granule uptake via phagocytosis, which may occur under normal conditions or pathological ones such as peritonitis. Phagocytic events are facilitated by immune system components like calcium-dependent lectins and collagens from glycoprotein superfamily, ensuring physical feasibility of intact granule transport. Furthermore, external factors like rheology and hydrostatic pressure affect starch morphology, leading to correlations between native or processed granule shapes and metabolic performance that impact organoleptic properties and nutritional value. The paper proposes a comprehensive classification framework for analyzing starch aggregation phenomena across various levels: molecular structural, supramolecular, physicochemical, etc. This structured approach aims not only to classify but also predict functional attributes of starch samples based on measurable parameters, leveraging machine learning techniques to ensure accurate identification and correlation analysis without human bias. Ultimately, this methodology could enhance product quality control, improve diagnostic tools, and contribute to broader biophysical insights into life origins, given the historical significance of starch-containing coacervates in pre-biotic evolution studies since the mid-twentieth century.
Number of views: 2 Download in PDF