Combined ultrasonic–hydrothermal pretreatment to improve the biomethane potential of hazelnut shell

Bianco, Francesco; Şenol, Halil; Papirio, Stefano; Zenk, H; Kara, Ayhan Nedim; ATASOY, Selçuk

doi:10.1016/j.biombioe.2022.106554

Cited by 19 publications

(8 citation statements)

References 63 publications

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“…Accordingly, the cellulose, hemicellulose and lignin contents in raw HS were determined as 19.51%, 18.48% and 36.07% by weight, respectively. A literature search was conducted to test the consistency of the results of the analyses, and the results of lignocellulosic analyzes in HS were compared with the results reported by Bianco et al [10]. Cellulose, hemicellulose and lignin values were found to be 26.11%, 29.8%, 42.48% by weight, respectively.…”

Section: Effect Of Pretreatments On Lignosulosic Structurementioning

confidence: 98%

“…Thermal pretreatments were applied to HS at 60, 80 and 100°C [10]. Pre-treatments were applied in the oven.…”

Section: Thermal Pre-treatmentsmentioning

confidence: 99%

“…One of the most underrated lignocellulosic components in AD is hazelnut by-products. In previous studies, hydrothermal and ultrasonic pretreatment of hazelnut shells (HS), one of the hazelnut by-products, was applied before AD [10]. In another study, thermal pretreatment optimization was performed on HS at high temperatures (50, 100 and 150°C) [11].…”

Section: Introductionmentioning

confidence: 99%

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Increasing the Biomethane Yield of Hazelnut By-Products by Low Temperature Thermal Pretreatment

Şenol,

Oyan,

Görgün

2024

Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi

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Biomethane energy, which has the status of renewable energies, has the potential to be produced from all kinds of organic wastes, as well as from lignocellulosic materials, which are the most common in nature. In this study, hazelnut shells (HS), one of the hazelnut by-products, were used for biomethane production. In order to obtain higher yields from HS, thermal pre-treatments were applied at temperatures of 60°C, 80°C and 100°C. Pretreatment effects were controlled by lignocellulosic substance amount determinations. As a result of thermal pretreatment at 100°C for 2 h, cellulose and lignin removals occurred approximately 15% and 30%, respectively. While the cumulative biomethane yield of raw HS was 32.3 mL•g total solids (TS)‒1, the cumulative biomethane yields of 100°C pretreated HS were measured as 132.3 mL•gTS‒1. As a result of different pretreatment temperatures, different cumulative biomethane yield curves were successfully simulated with the Modified Gompertz equation and R2 values were found to be between 0.9962 - 0.9985.

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Section: Effect Of Pretreatments On Lignosulosic Structurementioning

confidence: 98%

“…Thermal pretreatments were applied to HS at 60, 80 and 100°C [10]. Pre-treatments were applied in the oven.…”

Section: Thermal Pre-treatmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Increasing the Biomethane Yield of Hazelnut By-Products by Low Temperature Thermal Pretreatment

Şenol,

Oyan,

Görgün

2024

Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi

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“…In the mentioned studies, the coefficient of determination (R 2 ) and/or AIC , Bayesian information criterion were used as the performance criteria of the models. Different types of modeling, such as sigmoidal growth curves, have been used quite frequently in previous studies in the literature (Kara and Şenol 2022;Bianco et al, 2022, Kara, 2019. However, in no previous study, the mean curves and arc lengths of the models were used as model performance criteria.…”

Section: 𝑑𝑑𝑑𝑑mentioning

confidence: 99%

New approaches in choosing a suitable growth model: Mean Curvature and Arc Length Values

Oda

Korkmaz

Şenol

2022

Karadeniz Fen Bilimleri Dergisi

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Logistic, Gompertz and Bertalanffy sigmoid growth models are widely used to study the growth dynamics of populations such as living plants, animals and bacteria. Appropriate model selection and parameter estimation are very important as these models will be used to make practical inferences. Because different growth models are modeled biologically, regardless of whether the parameters are definable or not. Applications that do not take into account parameter identifiability can lead to unreliable parameter estimates and misleading interpretations. Therefore, first the most suitable model should be determined and then the parameters should be defined. In this study, two new suitable model determination criteria such as mean curvature and arc length are proposed. For this, firstly, the definition of curvature was given. Then, the mean curvature and arc length values of the data belonging to two different species (kangal dog growth and eucalyptus plant growth) were calculated. For this purpose, a comparison was made with model selection criteria available in the literature such as coefficient of determination, error sum of squares and Akaike information criterion (AIC). It has been determined that the results obtained from the mean curvature and arc length values are in accordance with the existing criteria. In the two datasets, it was seen that the fit model ranking for both the existing criteria and the criteria we proposed was the same. For this reason, it is thought that the mean curvature and arc length values can be accepted as suitable model selection criteria.

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“…However, these additives are often costly and challenging to obtain in large quantities. Furthermore, certain methods that enhance the startup phase of methanogens, including ultrasound [17], microwave [18], and biological enhancement [19], are operationally intricate or present challenges when it comes to scalability for industrial applications. The existing methods are partly constrained by the fact that they have not been extensively explored from the perspective of inhibiting interference from miscellaneous bacteria.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Startup Rate of Microbial Methanogenic Systems through the Synergy of β-lactam Antibiotics and Electrolytic Cells

Zhe,

Cheng,

Cheng

et al. 2024

Microorganisms

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The slow startup and suboptimal efficiency of microbial carbon sequestration and methane-production systems have not been fully resolved despite their contribution to sustainable energy production and the reduction of greenhouse gas emissions. These systems often grapple with persistent hurdles, including interference from miscellaneous bacteria and the slow enrichment of methanogens. To address these issues, this paper examines the synergistic effect of coupling β-lactam antibiotics with an electrolytic cell on the methanogenic process. The results indicated that β-lactam antibiotics exhibited inhibitory effects on Campylobacteria and Alphaproteobacteria (two types of miscellaneous bacteria), reducing their relative abundance by 53.03% and 87.78%, respectively. Nevertheless, it also resulted in a decrease in hydrogenogens and hindered the CO2 reduction pathway. When coupled with an electrolytic cell, sufficient electrons were supplied for CO2 reduction to compensate for the hydrogen deficiency, effectively mitigating the side effects of antibiotics. Consequently, a substantial improvement in methane production was observed, reaching 0.57 mL·L−1·d−1, exemplifying a remarkable 6.3-fold increase over the control group. This discovery reinforces the efficiency of methanogen enrichment and enhances methane-production levels.

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Combined ultrasonic–hydrothermal pretreatment to improve the biomethane potential of hazelnut shell

Cited by 19 publications

References 63 publications

Increasing the Biomethane Yield of Hazelnut By-Products by Low Temperature Thermal Pretreatment

Increasing the Biomethane Yield of Hazelnut By-Products by Low Temperature Thermal Pretreatment

New approaches in choosing a suitable growth model: Mean Curvature and Arc Length Values

Enhancing the Startup Rate of Microbial Methanogenic Systems through the Synergy of β-lactam Antibiotics and Electrolytic Cells

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