Digital biology approach for macroscale studies of biofilm growth and biocide effects with electron microscopy

Kozlov, Konstantin S.; Boiko, Daniil A.; Detusheva, Elena V.; Detushev, Konstantin V.; Pentsak, Evgeniy O.; Vereshchagin, Anatoly N.; Ananikov, Valentine P.

doi:10.1039/d3dd00048f

Cited by 3 publications

(3 citation statements)

References 103 publications

(122 reference statements)

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“…Transforming chemistry through Big Data analytics is an ongoing effort, [31][32][33][34][35][36] but desired ambitious goals are difficult to achieve using single-target/single-objective databases alone. Data fragmentation is a limiting factor that has to be overcome to improve the performance.…”

Section: Big Data and Integrated Datamentioning

confidence: 99%

Top 20 Influential AI-Based Technologies in Chemistry

Ananikov

2024

Preprint

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The beginning and ripening of digital chemistry is analyzed focusing on the role of artificial intelligence (AI) in an expected leap in chemical sciences to bring this area to the next evolutionary level. The analytic description selects and highlights the top 20 AI-based technologies and 7 broader themes that are reshaping the field. It underscores the integration of digital tools such as machine learning, big data, digital twins, the Internet of Things (IoT), robotic platforms, smart control of chemical processes, virtual reality and blockchain, among many others, in enhancing research methods, educational approaches, and industrial practices in chemistry. The significance of this study lies in its focused overview of how these digital innovations foster a more efficient, sustainable, and innovative future in chemical sciences. This article not only illustrates the transformative impact of these technologies but also draws new pathways in chemistry, offering a broad appeal to researchers, educators, and industry professionals to embrace these advancements for addressing contemporary challenges in the field.

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Section: Big Data and Integrated Datamentioning

confidence: 99%

Top 20 Influential AI-Based Technologies in Chemistry

Ananikov

2024

Preprint

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“…The investigation of biofilm formation under precisely controlled environments, bacteria concentration, and temperature and under various flow regimes was achieved with a versatile microfluidic platform. With the aid of this platform, some features dedicated to biofilm growth were integrated to obtain rapidly defined, reproducible, and localized biofilms with the aim of getting closer to the concept of digital microfluidics for biofilms . With such a tool, traditional static or macroscale flow chamber biofilm studies could be easily transformed, allowing for biofilm culture with lower reagent consumption and higher throughput.…”

Section: Introductionmentioning

confidence: 99%

“…With the aid of this platform, some features dedicated to biofilm growth were integrated to obtain rapidly defined, reproducible, and localized biofilms with the aim of getting closer to the concept of digital microfluidics for biofilms. 42 With such a tool, traditional static or macroscale flow chamber biofilm studies could be easily transformed, allowing for biofilm culture with lower reagent consumption and higher throughput. Moreover, the described method covers some gaps in the existing methods regarding experimental assessment of flows especially regarding the channel’s homogeneity and reproducibility of the biofilm formation.…”

Section: Introductionmentioning

confidence: 99%