journal article·2026-02Open access

In Situ, Real‐Time Imaging of pH Gradients and Solution Flows through Silica Garden Membranes during Tube Growth

Arianna Menichetti, Jeannette Manzi, Dario Mordini, Fermín Otálora, Juan Manuel García‐Ruiz, Marco Montalti

Small· Volume 22· Issue 9

Abstract

ABSTRACT Silica gardens are self‐organized structures formed by the reaction between high‐alkaline silicate and acidic metal solutions. This reaction generates complex tubular structures driven by osmosis and buoyancy, which are decorated by the precipitation of a diaphragm‐like membrane featuring textural and chemical gradients. It is understood that the initial gradient of pH values and its evolution over time and space are the key parameters controlling textural and chemical patterns and morphogenesis. We have developed a technique that enables simultaneous visualization of membrane formation, fluid and particle flow, and pH evolution at microscopic resolution in real‐time. This is achieved by exploiting the unusual behavior of pH probes in the saturated metal solution, which we have investigated in detail and utilized to perform ratiometric pH mapping in situ and in real‐time, either at low magnification with a color camera or, at high magnification, with a confocal microscope. Using the same probes and setup, confocal fluorescence microscopy allows for mapping pH in the microtubes with higher resolution through ratiometric analysis.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Diatoms and Algae Research · Lipid Membrane Structure and Behavior · Analytical Chemistry and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry “Giacomo Ciamician” Bologna Italy

Instituto Andaluz de Ciencias de la Tierra Consejo Superior de Investigaciones Científicas Armilla Spain

Donostia International Physics Center Donostia/San Sebastián Spain

Funding

Spanish National Plan for Scientific and Technical Research and Innovation · European Research Council

References (46)

Show source-provided references
1. 10.1016/B978-0-444-63303-3.00001-810.1016/B978-0-444-63303-3.00001-8 ↗
2. 10.1126/sciadv.160114410.1126/sciadv.1601144 ↗
3. 10.1002/adma.20170702910.1002/adma.201707029 ↗
4. B.Mattia Bizzarri L.Botta M. I.Pérez‐Valverde R.Saladino E.Di Mauro andJ. M.García‐Ruiz>24 no.32(2018):8126–8132 https://doi.org/10.1002/chem.201706162.10.1002/chem.201706162 ↗
5. 10.1002/adfm.20190204710.1002/adfm.201902047 ↗
6. 10.1038/s41467‐018‐07658‐010.1038/s41467‐018‐07658‐0 ↗
7. 10.1126/science.123462110.1126/science.1234621 ↗
8. 10.1038/s41557‐018‐0064‐110.1038/s41557‐018‐0064‐1 ↗
9. 10.3390/cryst1006046710.3390/cryst10060467 ↗
10. 10.1126/sciadv.160228510.1126/sciadv.1602285 ↗
11. 10.1016/j.icarus.2018.09.02010.1016/j.icarus.2018.09.020 ↗
12. 10.1016/j.plrev.2020.01.00110.1016/j.plrev.2020.01.001 ↗
13. 10.1016/b978‐0‐12‐416617‐2.00011‐410.1016/b978‐0‐12‐416617‐2.00011‐4 ↗
14. 10.1021/acs.chemrev.5b0001410.1021/acs.chemrev.5b00014 ↗
15. 10.1002/chem.20210141710.1002/chem.202101417 ↗
16. 10.1002/anie.20110775410.1002/anie.201107754 ↗
17. 10.1002/cplu.20200060010.1002/cplu.202000600 ↗
18. 10.1021/acs.biochem.6b0025510.1021/acs.biochem.6b00255 ↗
19. 10.1002/chem.20180388910.1002/chem.201803889 ↗
20. 10.1209/epl/i2003‐10279‐710.1209/epl/i2003‐10279‐7 ↗
21. 10.1021/jp071534q10.1021/jp071534q ↗
22. 10.1002/cphc.20160074810.1002/cphc.201600748 ↗
23. 10.1021/acs.langmuir.5b0419610.1021/acs.langmuir.5b04196 ↗
24. P. E.Farkas E.Lantos D.Horváth andA.Tóth6 no.6(2024):202400053 https://doi.org/10.1002/syst.202400053.10.1002/syst.202400053 ↗
25. 10.1039/C8CP07693F10.1039/C8CP07693F ↗
26. 10.1039/B504407C10.1039/B504407C ↗
27. 10.1021/acsomega.7b0093010.1021/acsomega.7b00930 ↗
28. 10.1127/0935‐1221/2014/0026‐237810.1127/0935‐1221/2014/0026‐2378 ↗
29. 10.1039/C6CP02107G10.1039/C6CP02107G ↗
30. 10.1103/PhysRevLett.113.02450210.1103/PhysRevLett.113.024502 ↗
31. 10.1038/ncomms1442710.1038/ncomms14427 ↗
32. 10.1002/smsc.20240009010.1002/smsc.202400090 ↗
33. 10.1002/anie.20200704010.1002/anie.202007040 ↗
34. 10.1038/s41377‐021‐00628‐010.1038/s41377‐021‐00628‐0 ↗
35. 10.1039/d1cs00645b10.1039/d1cs00645b ↗
36. Fluorescent Carbon Dots from Food Industry By‐Products for Cell Imaging
37. 10.1039/d3nr04696f10.1039/d3nr04696f ↗
38. 10.1039/D4CC06603K10.1039/D4CC06603K ↗
39. 10.1039/B502212F10.1039/B502212F ↗
40. 10.1016/j.polymer.2017.12.05610.1016/j.polymer.2017.12.056 ↗
41. 10.3390/molecules2708249010.3390/molecules27082490 ↗
42. 10.1039/c4cs00280f10.1039/c4cs00280f ↗
43. 10.1002/anie.20160429010.1002/anie.201604290 ↗
44. 10.1021/acs.jpcc.7b0277810.1021/acs.jpcc.7b02778 ↗
45. 10.1098/rsta.2024.026610.1098/rsta.2024.0266 ↗
46. https://www.aqion.de/site/diffusion‐coefficients. Accessed on December 2025.