Article 2024 · 7 citations

Machine Learning-Assisted SERS Reveals the Biochemical Signature of Enhanced Protein Secretion from Surface-Modified Magnetic Nanoparticles

Dagci, Ibrahim, Solak, Kubra, Oncer, Nazli, Arslan, Seyda Yildiz, Unver, Yagmur, Yilmaz, Mehmet, Mavi, Ahmet

Abstract

This study introduces a novel investigation of the interaction between Komagataella phaffii cells and iron oxide-based magnetic nanoparticles (Fe3O4 MNPs) via protein secretion and machine learning (ML)-assisted surface-enhanced Raman scattering (SERS). For the first time, we produced Fe3O4, Fe3O4@PEG, Fe3O4@PEI10kDa, and Fe3O4@PEI25kDa MNPs by a one-pot coprecipitation reaction. The addition of polymers to the reaction conditions significantly affected the shape, surface charge, size, and size distribution of the MNPs. The surface modification of MNPs is effectively accomplished using polyethylenimine (PEI), and the zeta-potential values of the MNPs exceed +25 mV under the NH4OH control. The homogeneity of MNPs synthesized with NH4OH is more pronounced according to transmission electron microscopy (TEM) pictures. All MNPs exhibited excellent immobilization efficiency (>92%) when we used 250 ppm Fe-containing MNP solutions. Smaller MNPs uniformly encapsulated the surface of K. phaffii cells, whereas larger MNPs exhibited irregular accumulation. K. phaffii cells exhibited excellent viability in all MNP solutions at up to 1000 ppm of Fe concentrations. Finally, the highest recombinant azurin protein secretion rate was obtained in Fe3O4@PEI10kDa MNP-immobilized cells (about 1.3 times). The ML-assisted SERS analysis revealed that MNP interactions with K. phaffii cells were mediated by proteins such as mannoproteins and membrane transporter proteins as well as N-acetylglucosamine (i.e., chitin). These findings revealed the effect of the size and surface properties of MNPs on the immobilization of K. phaffii cells and the enormous potential of magnetic immobilization for protein secretion.

Keywords

iron oxide nanoparticles magnetic immobilization recombinant protein Komagataella phaffii SERS machine learning RAMAN-SPECTROSCOPY SACCHAROMYCES-CEREVISIAE RELEVANT MICROORGANISMS MOLECULAR-DETECTION CELLS IMMOBILIZATION

WoS Categories

Nanoscience & Nanotechnology Materials Science, Multidisciplinary

Sustainable Development Goals

Good Health and Well-being

Citation

Journal: ACS APPLIED MATERIALS & INTERFACES
Year: 2024
Volume: 16
Issue: 51
Pages: 70392-70406
ISSN: 1944-8244
eISSN: 1944-8252
DOI: 10.1021/acsami.4c18591
WoS UID: WOS:001376920200001

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