Valorisation of cheese whey into single-cell protein by Lactococcus garvieae: dual waste nitrogen supplementation and uncertainty-informed process evaluation

dc.contributor.authorUzun, Halil Ibrahim
dc.contributor.authorOnlu, Harun
dc.date.accessioned2026-07-13T12:18:22Z
dc.date.issued2026
dc.departmentMuş Alparslan Üniversitesi
dc.description.abstractGrowing global protein demand necessitates resource-efficient alternatives to conventional production systems. This study developed a waste-based bioprocess framework for converting cheese whey (CW) into single-cell protein (SCP) using lactic acid bacteria within a dual waste-valorisation configuration integrating CW and expired chickpea flour-derived extract. Seven LAB strains were screened in pre-treated CW, and Lactococcus garvieae was selected based on its highest biomass formation in untreated whey (0.441 +/- 0.024 g/L). As CW was nitrogen-limited, supplementation with water-soluble legume extracts significantly enhanced SCP production, with chickpea extract (CE) yielding 1.560 +/- 0.120 g/L at 10 g/L. Among the tested carbon sources, sucrose supported the highest biomass concentration (2.110 +/- 0.105 g/L). Under the selected cultivation conditions (pH 7.0, 37 degrees C), SCP reached 2.314 +/- 0.090 g/L. Although the highest observed biomass concentration occurred at 72 h (2.663 +/- 0.154 g/L), volumetric productivity peaked at 24 h (0.096 g/L & centerdot;h), which was therefore selected as the operational incubation time based on the productivity-time trade-off. Second-order polynomial modelling combined with Delta Method-based uncertainty estimation enabled quantitative differentiation between model-derived stationary points and experimentally justified operating conditions. The integration of expired legume flour as a waste-derived nitrogen source, together with uncertainty-aware response modelling within an OFAT framework, establishes a dual waste-valorisation strategy and a transparent approach for statistically supported process window identification under laboratory-scale constraints. The resulting SCP biomass contained 56.37 +/- 2.75% protein, 2.87 +/- 0.34% lipids, and 10.55 +/- 0.68% ash.
dc.description.sponsorshipMus Alparslan University -- Open access funding provided by the Scientific and Technological Research Council of Turkiye (TUB & Idot;TAK).
dc.identifier.doi10.1007/s11274-026-04911-3
dc.identifier.issn0959-3993
dc.identifier.issn1573-0972
dc.identifier.issue5
dc.identifier.orcid0000-0003-3660-9267
dc.identifier.pmid42010063
dc.identifier.scopus2-s2.0-105036254778
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1007/s11274-026-04911-3
dc.identifier.urihttps://hdl.handle.net/20.500.12639/8882
dc.identifier.volume42
dc.identifier.wosWOS:001744942000001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofWorld Journal of Microbiology & Biotechnology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250701
dc.subjectSingle-Cell Protein
dc.subjectCheese Whey
dc.subjectWaste Valorisation
dc.subjectLactic Acid Bacteria
dc.subjectUncertainty Analysis
dc.titleValorisation of cheese whey into single-cell protein by Lactococcus garvieae: dual waste nitrogen supplementation and uncertainty-informed process evaluation
dc.typeArticle

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