Drying of Bio-colloidal Sessile Droplets: Advances, Applications, and Perspectives
| Autor: | Anusuya Pal, Amalesh Gope, Anupam Sengupta |
|---|---|
| Přispěvatelé: | Fonds National de la Recherche - FnR [sponsor] |
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
morphological patterns
pattern recognition Physics [G04] [Physical chemical mathematical & earth Sciences] FOS: Physical sciences Surfaces and Interfaces Condensed Matter - Soft Condensed Matter drying droplets machine learning algorithm Colloid and Surface Chemistry bio medical diagnostics Physique [G04] [Physique chimie mathématiques & sciences de la terre] Soft Condensed Matter (cond-mat.soft) bio-colloids Physical and Theoretical Chemistry |
| Popis: | Drying of biologically-relevant sessile droplets, including passive systems (like DNA and proteins), as well as active microbial systems comprising bacteria and algae, have garnered considerable attention over the last decades. Distinct morphological patterns emerge when bio-colloids undergo drying, with significant potential in a range of biomedical applications, spanning bio-sensing, medical diagnostics, drug delivery, and antimicrobial resistance. This review presents a comprehensive overview of bio-colloidal droplets drying on solid substrates, focusing on the experimental progress during the last ten years. We provide a summary of the relevant properties of bio-colloids and link their composition (constituent particles, solvent, and concentrations) to the patterns emerging due to drying. We examined the drying patterns generated by passive bio-colloids (DNA, globular, fibrous, and composite proteins, plasma, serum, blood, urine, tears, saliva). This article highlights how morphological patterns are influenced by the nature of the biological entities and the solvent, micro- and global environmental conditions. Correlations between emergent patterns and the initial droplet compositions enable the detection of potential clinical abnormalities when compared with the patterns of drying droplets of healthy control samples, offering a diagnostic blueprint. Recent experimental investigations of pattern formation in the bio-mimetic and salivary drying droplets, relevant to COVID-19 are also presented. Finally, we summarize the role of biologically active agents in drying process, including bacteria and algae during the drying process. The review concludes with a perspective on the next generation of research and applications based on drying droplets, enabling potential innovations and tools to study this exciting interface of physics, biology, data sciences, and machine learning. Comment: 92 pages, 22 figures |
| Databáze: | OpenAIRE |
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