Yazar "Safran, Volkan" seçeneğine göre listele

Listeleniyor 1 - 3 / 3
  • Küçük Resim Yok
    Öğe
    Bioremediation of pesticides using microbial consortium: Challenges and future perspectives
    (Springer International Publishing, 2022) Yilmaz, Gaye Ezgi; Göktürk, Ilgim; Safran, Volkan; Yilmaz, Fatma; Denizli, Adil
    The widespread use of pesticides causes serious environmental and health problems. Pesticide use not only degrades soil quality but also enters the aquatic environment, so decontamination of pesticide-contaminated areas is a very complex process. The conventional methods used to remove polluting chemicals from the environment are not sufficient for the removal of pesticides. New technologies such as environmentally friendly, economical, and versatile bioremediation methods are required that take advantage of the ability of microorganisms to remove pollution from the environment. The use of microbial consortia has very important advantages in the bioremediation of pollution caused by pesticides. In this chapter, recent applications of microbial consortia used in pesticide bioremediation are discussed. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
  • Küçük Resim
    Öğe
    Development of molecularly imprinted polymer-based optical sensor for the sensitive penicillin g detection in milk
    (WILEY-V C H VERLAG GMBH, 2021) Safran, Volkan; Göktürk, Ilgım; Bakhshpour, Monireh; Yılmaz, Fatma; Denizli, Adil
    In this study, selective and sensitive Penicillin G (PEN-G) antibiotic detection from both aqueous solution and milk samples using molecular imprinting technique was performed by surface plasmon resonance sensor. For this purpose, PEN-G imprinted poly(2-Hydroxyethyl methacrylate-N-methacroyl-(L)-cysteine methyl ester-gold nanoparticles-N-methacryloyl-L-phenylalanine methyl ester (MIP-AuNPs) nanosensor was prepared. Control experiments were carried out via the nanosensor without the addition of AuNPs (MIP) to examine the effect of gold nanoparticles (AuNPs) incorporated to increase the surface plasmon resonance signal response. Moreover, to evaluate the imprinting efficiency, non-imprinted (NIP-AuNPs) nanosensor was designed using the same polymerization recipe except the addition of the PEN-G molecule. Characterization studies of MIP, MIP-AuNPs and NIP-AuNPs nanosensors were performed with FTIR-ATR spectrophotometer. Also, MIP-AuNPs and NIP-AuNPs nanosensors were characterized by atomic force microscopy, ellipsometer and contact angle measurements. Imprinting efficiency (I.F: 7.83) for the MIP-AuNPs nanosensor was determined by comparing it with the NIP-AuNPs nanosensor. The MIP-AuNPs nanosensor was 9.87 times more selective for the target PEN-G molecule than amoxicillin, and 16.78-times than ampicillin. In addition, the amount of PEN-G in milk selected as a real sample was measured by spiking 5 ppb PEN-G into the milk.
  • Küçük Resim Yok
    Öğe
    Rapid sensing of Cu+2 in water and biological samples by sensitive molecularly imprinted based plasmonic biosensor
    (Elsevier, 2019) Safran, Volkan; Gokturk, Ilgrm; Derazshamshir, Ali; Yilmaz, Fatrna; Saglam, Necdet; Denizli, Adil
    In this study, copper (II) ion (Cu+2) imprinted poly(hydroxyethyl methacrylate-N-metacryloyl-(L)-cysteine methyl ester [PHEMAC-Cu+2] nanoparticles were synthesized by two-phase mini-emulsion polymerization method and applied to the SPR sensor chip surface for the selective determination of the Cu+2 ions in both aqueous solution, Cu+2-spiked artificial urine and physiological serum samples to investigate the effects of metabolite residues during the analysis. The non imprinted [PHEMAC] nanoparticles were synthesized by applying the same procedure for the [PHEMAC-Cu+2] nanoparticle synthesis except the addition of Cu+2 ions as a control experiment to evaluate the selectivity of the [PHEMAC-Cu+2] nanoparticles. Roughness differences between [PHEMAC-Cu+2] and [PHEMAC] nanoparticles showed that the imprinting process of Cu+2 ions was performed successfully. [PHEMAC-Cu+2] and [PHEMAC] SPR biosensors prepared by attaching nanoparticles onto the surface of sensor chips, were characterized by atomic force microscope, ellipsometer, contact angle measurements. Langmuir adsorption model was found the most applicable model for this affinity system. Results showed that Cu+2 affinity regions on the surface of [PHEMAC-Cu+2] SPR biosensor were homogeneously distributed and have a monolayer structure. Having the high imprinting efficiency with the imprinting factor of 4.74, the [PHEMAC-Cu+2] SPR biosensor was found to show more selectivity towards the target Cu+2 than the non-imprinted [PHEMAC] SPR biosensor. The selectivity studies of [PHEMAC-Cu+2] SPR biosensors for Cu+2 detection were investigated by using Zn+2 and Ni+2 solutions selected as competitor molecules. The results of intraday and interday precision studies were carried out to ascertain the reproducibility of the proposed method and reported as percent relative standard deviation (%RSD) value.