Chemistry / Kimya
Permanent URI for this collectionhttps://hdl.handle.net/11147/4072
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Article Citation - Scopus: 3Development of Chrono-Spectral Gold Nanoparticle Growth Based Plasmonic Biosensor Platform(Elsevier, 2024) Sözmen, Alper Baran; Elveren, Beste; Erdoğan, Duygu; Mezgil, Bahadır; Baştanlar, Yalın; Yıldız, Ümit Hakan; Arslan Yıldız, AhuPlasmonic sensor platforms are designed for rapid, label-free, and real-time detection and they excel as the next generation biosensors. However, current methods such as Surface Plasmon Resonance require expertise and well-equipped laboratory facilities. Simpler methods such as Localized Surface Plasmon Resonance (LSPR) overcome those limitations, though they lack sensitivity. Hence, sensitivity enhancement plays a crucial role in the future of plasmonic sensor platforms. Herein, a refractive index (RI) sensitivity enhancement methodology is reported utilizing growth of gold nanoparticles (GNPs) on solid support and it is backed up with artificial neural network (ANN) analysis. Sensor platform fabrication was initiated with GNP immobilization onto solid support; immobilized GNPs were then used as seeds for chrono-spectral growth, which was carried out using NH2OH at varied incubation times. The response to RI change of the platform was investigated with varied concentrations of sucrose and ethanol. The detection of bacteria E.coli BL21 was carried out for validation as a model microorganism and results showed that detection was possible at 102 CFU/ml. The data acquired by spectrophotometric measurements were analyzed by ANN and bacteria classification with percentage error rates near 0% was achieved. The proposed LSPR-based, label-free sensor application proved that the developed methodology promises utile sensitivity enhancement potential for similar sensor platforms. © 2024 The Author(s)Article Citation - WoS: 18Citation - Scopus: 23A Thermophilic ?-L From Geobacillus Vulcani Gs90: Heterologous Expression, Biochemical Characterization, and Its Synergistic Action in Fruit Juice Enrichment(Springer, 2018) İlgü, Hüseyin; Sürmeli, Yusuf; Şanlı Mohamed, Gülşahα-l-Arabinofuranosidases with an orchestral action of xylanolytic enzymes degrades the xylan in plant cell wall. In this study, heterologous expression, biochemical characterization, and synergistic action of α-l-Arabinofuranosidase from previously identified.Geobacillus vulcani GS90 (GvAbf) was investigated. The recombinant α-l-Arabinofuranosidase was overexpressed in Escherichia coli BL21 (λDE) and purified via His-tag Ni-affinity and size-exclusion chromatography. Optimum activity of the purified α-l-Arabinofuranosidase was obtained at pH 5 and at 70 °C. The GvAbf was active in a broad pH and temperature ranges; pH 4–9 and 30–90 °C, respectively. In addition, it retained most of its activity after an hour incubation at 70 °C and remained relatively stable at pH 3–6. GvAbf was quite stable against various metal ions. The kinetic parameters of GvAbf was obtained as Vmax and Km; 200 U/mg and 0.2 mM with p-nitrophenyl-α-l-arabinofuranoside and 526 U/mg and 0.1 mM with sugar beet arabinan, respectively. The synergistic action of GvAbf was studied with commercially available xylanase on juice enrichment of apples, grapes, oranges, and peaches. The best juice enrichment in terms of clarity, reducing sugar content, and yield, was achieved with GvAbf and xylanase together compared to treatment with xylanase and GvAbf alone in all fruits. The treatment with GvAbf and xylanase together lead to an increased juice yield by 26.56% (apple), 30.88% (grape), 40.00% (orange) and 32.20% (peach) as well as having a significant effect on juice clarity by an increase of % transmittance 47.26, 25.98, 41.77, and 44.97, respectively. The highest reducing sugar level of fruit juices also obtained with GvAbf and xylanase together compared to treatment with xylanase and GvAbf alone in all types of fruits. GvAbf and xylanase together as simultaneous synergistic manner may have an exciting potential for application in fruit juice processing.