Non-invasive monitoring of cyanobacteria growth in a nanocellulose matrix

dc.contributor.authorLevä Tuukka
dc.contributor.authorMahlamäki Ella
dc.contributor.authorKosourov Sergey
dc.contributor.authorAllahverdiyeva Yagut
dc.contributor.authorMäkelä Mikko
dc.contributor.authorTammelin Tekla
dc.contributor.organizationfi=molekulaarinen kasvibiologia|en=Molecular Plant Biology|
dc.contributor.organization-code1.2.246.10.2458963.20.50535969575
dc.converis.publication-id498492809
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/498492809
dc.date.accessioned2025-08-27T23:41:25Z
dc.date.available2025-08-27T23:41:25Z
dc.description.abstract<p>Solid-state photosynthetic cell factories (SSPCFs) for sustainable chemicals manufacturing can be developed towards industrially relevant environment with rapid feedback control over their operation. This requires non-invasive monitoring of the immobilized cells in situ, which is not possible with existing methods. We deployed hyperspectral imaging in the photosynthetically active radiation range (400–700 nm) to enable such monitoring. We systematically assessed cell growth and potential stress during immobilization by studying how 2,2,6,6-tetramethylpiperidine 1-oxyl (TEMPO)-oxidized cellulose nanofiber hydrogel thickness, immobilized <em>Synechocystis</em> sp. PCC 6803 cell density and time affected the immobilized cells' absorbance spectra. Time and gel thickness together accounted for almost 80 % of the changes in the spectra. We then calibrated the imaging spectra for chlorophyll <em>a</em> to non-invasively estimate growth of healthy cells in the matrices. Promising correlation for chlorophyll <em>a</em> (model coefficient of determination, R<sup>2</sup> = 0.90) was observed between hyperspectral imaging and spectrophotometry references from methanol-extracted samples regardless of spatial differences that developed in the matrices over time. Clustering of the image pixels enabled analyzing these differences in the chlorophyll <em>a</em> concentration non-invasively from the whole matrix areas. In the future, this non-invasive data-driven method could be further developed for monitoring SSPCFs' biointelligent chemicals production, contamination, stress and cell growth.<br></p>
dc.identifier.jour-issn2211-9264
dc.identifier.olddbid204429
dc.identifier.oldhandle10024/187456
dc.identifier.urihttps://www.utupub.fi/handle/11111/52663
dc.identifier.urlhttps://doi.org/10.1016/j.algal.2025.104090
dc.identifier.urnURN:NBN:fi-fe2025082786439
dc.language.isoen
dc.okm.affiliatedauthorKosourov, Sergey
dc.okm.affiliatedauthorAllahverdiyeva-Rinne, Yagut
dc.okm.discipline219 Environmental biotechnologyen_GB
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherElsevier BV
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.articlenumber104090
dc.relation.doi10.1016/j.algal.2025.104090
dc.relation.ispartofjournalAlgal Research
dc.relation.volume89
dc.source.identifierhttps://www.utupub.fi/handle/10024/187456
dc.titleNon-invasive monitoring of cyanobacteria growth in a nanocellulose matrix
dc.year.issued2025

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