ReviewAdvances in biochemical engineering/biotechnology2026
Flow as a Control Strategy to Promote Biomolecule Nucleation.
Review in Advances in biochemical engineering/biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main aim of this chapter is to provide an (at least semiquantitative) explanation of biomolecular crystallization (nucleation and growth) experimental results in solution flow, in order to further assist with optimization of the process. An overview will be provided of biomolecular crystal nucleation and growth in forced solution flows, but also in the presence and absence of natural (buoyancy-driven) convective flows. The chapter focuses first on the theoretical analysis of the different mass transfer modalities, diffusion versus convection dominated (both of crystal building blocks and of impurities), leading to biomolecule-depleted and to self-purifying (i.e., impurity-depleted) zones. The same topics will then be addressed, describing the experimentally investigated influence of forced flows, artificially created through air pressure, peristaltic pumping, oscillatory mixing, stirring, shearing, and other methods, both in small-scale laboratory and in large-scale industrial settings. In addition to forced flows, work on the influence of gravity-induced naturally occurring solution convection and crystal sedimentation will be reviewed, as well as the effects of its absence when crystallization trials are carried out under microgravity environments. By developing the principle of the separation of the nucleation and growth stages of crystallization ("double-pulse technique") not only in time but also in space, the reported results have shown that at solution flow velocities larger than those of buoyancy-driven convection, most crystals nucleated heterogeneously, while bulk-nucleated crystals predominated at lower flow velocities. Lastly, fluid flow also allowed the investigation of the important role of impurities of biological origin on the kind of crystal nucleation, homogeneous or heterogeneous. In view of the diverse needs for protein crystals (structure determination by conventional X-ray crystallography or by XFEL, industrial production of pharmaceuticals), flow-utilizing strategies may be adjusted to each specific crystallization need. Experiments could also be undertaken that would optimize the flow parameters separately and successively for each stage of the crystallization process (nucleation, growth, cessation of growth). Finally, it would be extremely informative to widen the range of proteins used in crystallization experiments involving flow, besides the usual lysozyme and a handful of others that have already been studied.
Indexed as
Identifiers
41844986What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.