Halil ŞENOL, Ayhan KARA, Selçuk ATASOY, Mehtap ERŞAN

Anaerobik Sindirimde Nanopartikül Konsantrasyonunun Cevap Yüzey Yöntemi İle Optimizasyonu

Son zamanlarda nanopartiküllerin (NP)’lerin anaerobik sindirim (AS)’de biyogaz üretimi üzerinde verim artırmaya yönelik etkilerinin olduğu keşfedilmiştir. Bu çalışmada Fe3O4, ZnO ve SiO2 NP’lerin AS’ye olan etkileri incelenmiştir. Bazı NP’lerin yüksek konsantrasyonları toksik etki yapmaktadır. Bu nedenle substrat olarak kullanılan sığır gübresinin AS’de en iyi NP konsantrasyonlarını bulmak için Cevap yüzey yöntemi (CYY)’nin Box-Benkhen Tasarımı kullanılmıştır. CYY seçilen bir aralıktaki birkaç deney setine dayalı olarak işletim değişkenlerinden etkilenen yanıt yüzeyini en üst düzeye çıkaran değerli bir istatistiksel araçtır. Sonuç olarak bağımsız değişkenler için en iyi NP konsantrasyon değerleri SiO2 için 150 mg/l, Fe3O4 için 150 mg/l ve ZnO için 150 mg/l değerinde bulunmuştur. NP eklenmeden önceki biyogaz verimi 290 ml/g uçucu katı (UK) değerinde iken bağımsız değişkenlerin optimum koşullarında 320 ml/g UK değerinde tahmin edilmiştir. Varyans analizi ve yüksek regresyon katsayısı (%98), regresyon modeliyle deneysel değerlerin model tarafından iyi bir şekilde tahmin edildiğini doğrulamaktadır. Böylece gelecek çalışmalarda farklı NP’lerin AS’de etkilerinin birlikte incelenmesi önerilmektedir.

Anahtar Kelimeler:

Nanopartikül, Anaerobik sindirim, Biyogaz, Cevap Yüzey Yöntemi

Optimization of Nanoparticle Concentration in Anaerobic Digestion by Response Surface Method

Recently, it has been discovered that nanoparticles (NPs) have efficiency-enhancing effects on biogas production in anaerobic digestion (AS). In this study, the effects of Fe3O4, ZnO and SiO2 NPs on AS were investigated. High concentrations of some NPs are toxic. Therefore, the Box-Benkhen Design of the Response Surface Methodology (RSM) was used to find the best NP concentrations in AD of cattle manure used as a substrate. RSM is a valuable statistical tool that maximizes the response surface affected by operating variables based on several sets of experiments within a selected range. As a result, the best NP concentration values for the independent variables were found to be 150 mg/L for SiO2, 150 mg/L for Fe3O4 and 150 mg/L for ZnO. While the biogas yield before adding NP was 290 ml/g volatile solids (VS), it was estimated at 320 mL/g VS under the optimum conditions of the independent variables. The analysis of variance and the high regression coefficient (98%) confirm that the experimental values are well predicted by the polynomial regression model. Thus, it is recommended to examine the effects of different NPs together in AS in future studies.

Keywords:

Nanoparticle, Anaerobic digestion, biogas, Response Surface Methodology,

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