Mathematical modeling of olive mill waste composting process

Vasiliadou, Ioanna A.; Chowdhury, Abu Khayer Md. Muktadirul Bari; Akratos, Christos S.; Tekerlekopoulou, Athanasia G.; Pavlou, Stavros; Vayenas, D.V.

doi:10.1016/j.wasman.2015.06.038

Cited by 39 publications

(34 citation statements)

References 37 publications

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“…Olive leaves, in combination with 3POP and other materials used as bulking agents, have been assessed for composting. The developed mathematical model, including aspects such as heat transfer, degradation of organic matter or generation of CO 2 , was successfully validated by experimental results …”

Section: Research On Different Types Of Olive‐derived Biomassessupporting

confidence: 75%

Olive‐derived biomass as a source of energy and chemicals

Ruiz

Romero‐García

Romero

et al. 2017

Biofuels Bioprod Bioref

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Olive trees are cultivated in more than 40 countries worldwide over more than 10 million hectares. In addition to olive oil, a large amount of biomass is produced annually. All this biomass must be adequately handled and disposed of. Conventional disposal methods include direct burning or spreading in fields, but this has economical costs and environmental concerns, as well as wasting a source of energy and chemicals. This review summarizes the most recent proposals for the use of biomass derived from olive tree cultivation and olive oil production processes. Biomass produced from pruning, leaves, olive stones and pomace, extracted olive pomace, and olive waste water are considered, and the main options for processing are reviewed according to recent advances in the literature. The biorefinery concept applied to olive‐derived biomass is also presented and representative works are discussed. © 2017 Society of Chemical Industry and John Wiley & Sons, Ltd

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Section: Research On Different Types Of Olive‐derived Biomassessupporting

confidence: 75%

Olive‐derived biomass as a source of energy and chemicals

Ruiz

Romero‐García

Romero

et al. 2017

Biofuels Bioprod Bioref

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“…Adapting canopy size and shape to high planting densities is currently achieved by pruning, aimed to reach the highest leaf/wood ratio (García-Ortiz et al, 2004 ; Rosati et al, 2013 ), while reducing shading (Boardman, 1977 ; Gregoriou et al, 2007 ). Such practices are applied for example to plantations of Arbequina (Tous and Romero, 1993 ; Barranco et al, 2005 ), a Spanish variety widely used in intensive and hedgerow orchards due to its medium to low vigor and good agronomic behavior (Rallo et al, 2008 ; Larbi et al, 2011 ; Rosati et al, 2013 ). However, even varieties of this vigor show early competition for radiation in high-density orchards (Rallo et al, 2008 ; Connor et al, 2009 ), which can result in significant yield losses if adequate pruning practices are not applied (García-Ortiz et al, 2004 ; Pastor et al, 2005 ).…”

Section: Introductionmentioning

confidence: 99%

“…Such practices are applied for example to plantations of Arbequina (Tous and Romero, 1993 ; Barranco et al, 2005 ), a Spanish variety widely used in intensive and hedgerow orchards due to its medium to low vigor and good agronomic behavior (Rallo et al, 2008 ; Larbi et al, 2011 ; Rosati et al, 2013 ). However, even varieties of this vigor show early competition for radiation in high-density orchards (Rallo et al, 2008 ; Connor et al, 2009 ), which can result in significant yield losses if adequate pruning practices are not applied (García-Ortiz et al, 2004 ; Pastor et al, 2005 ). To date, breeders have obtained two varieties with a tree architecture specifically adapted to high planting densities, Askal in Israel (Lavee et al, 2003 ) and Chiquitita or Sikitita (hereafter Chiquitita) in Spain (Rallo et al, 2008 ).…”

Section: Introductionmentioning

confidence: 99%

“…However, even varieties of this vigor show early competition for radiation in high-density orchards (Rallo et al, 2008 ; Connor et al, 2009 ), which can result in significant yield losses if adequate pruning practices are not applied (García-Ortiz et al, 2004 ; Pastor et al, 2005 ). To date, breeders have obtained two varieties with a tree architecture specifically adapted to high planting densities, Askal in Israel (Lavee et al, 2003 ) and Chiquitita or Sikitita (hereafter Chiquitita) in Spain (Rallo et al, 2008 ). Such bred varieties can potentially maximize the usage of light, and would thus facilitate maintenance reducing the need for pruning.…”

Section: Introductionmentioning

confidence: 99%

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Transcriptomic Analysis Using Olive Varieties and Breeding Progenies Identifies Candidate Genes Involved in Plant Architecture

et al. 2016

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Plant architecture is a critical trait in fruit crops that can significantly influence yield, pruning, planting density and harvesting. Little is known about how plant architecture is genetically determined in olive, were most of the existing varieties are traditional with an architecture poorly suited for modern growing and harvesting systems. In the present study, we have carried out microarray analysis of meristematic tissue to compare expression profiles of olive varieties displaying differences in architecture, as well as seedlings from their cross pooled on the basis of their sharing architecture-related phenotypes. The microarray used, previously developed by our group has already been applied to identify candidates genes involved in regulating juvenile to adult transition in the shoot apex of seedlings. Varieties with distinct architecture phenotypes and individuals from segregating progenies displaying opposite architecture features were used to link phenotype to expression. Here, we identify 2252 differentially expressed genes (DEGs) associated to differences in plant architecture. Microarray results were validated by quantitative RT-PCR carried out on genes with functional annotation likely related to plant architecture. Twelve of these genes were further analyzed in individual seedlings of the corresponding pool. We also examined Arabidopsis mutants in putative orthologs of these targeted candidate genes, finding altered architecture for most of them. This supports a functional conservation between species and potential biological relevance of the candidate genes identified. This study is the first to identify genes associated to plant architecture in olive, and the results obtained could be of great help in future programs aimed at selecting phenotypes adapted to modern cultivation practices in this species.

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“…For example, some research assigned l and k d by assumption for the composting processes of corncobs, cattle manure-municipal sewage sludge and swine-straw (Stombaugh and Nokes, 1996;Sole-Mauri et al, 2007;Wang and Witarsa, 2016), while others inferred the variation of X viable and the values of l and k d based on the regression relationship between bacterial growth and the composting temperature and degradation of organic matter (Mason, 2006;Yamada and Kawase, 2006;Vasiliadou et al, 2015;Ge et al, 2016a, b). Not only are l and k d the key parameters in interpreting the mechanisms of bacterial growth and decay, but the values also affect the accuracy of numerical simulation of composting processes (Sole-Mauri et al, 2007;Zhang et al, 2012;Ge et al, 2015;Vasiliadou et al, 2015). Consequently, development of a characterization method of X viable for composting materials and illustration of the kinetics of bacterial growth and decay during composting are of considerable importance.…”

Section: Introductionmentioning

confidence: 99%

New insights into the kinetics of bacterial growth and decay in pig manure–wheat straw aerobic composting based on an optimized PMA–qPCR method

Huang

Sun

et al. 2019

Microbial Biotechnology

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Summary Aerobic composting is a bacteria‐driven process to degrade and recycle wastes. This study quantified the kinetics of bacterial growth and decay during pig manure–wheat straw composting, which may provide insights into microbial reaction mechanisms and composting operations. First, a propidium monoazide–quantitative polymerase chain reaction ( PMA – qPCR ) method was developed to quantify the viable bacteria concentration of composting samples. The optimal PMA concentration and light exposure time were 100 μM and 8 min respectively. Subsequently, the concentrations of total and decayed bacteria were quantified. Viable and decayed bacteria coexisted during the entire composting period (experiments A and B), and the proportion of viable bacteria finally fell to only 35.1%. At the beginning, bacteria grew logarithmically and decayed rapidly. Later, the bacterial growth in experiment A remained stable, while that of experiment B was stable at first and then decomposed. The duration of the stable stage was positively related to the soluble sugar content of composting materials. The logarithmic growth and rapid decay of bacteria followed Monod equations with a specific growth (0.0317 ± 0.0033 h −1 ) and decay rate (0.0019 ± 0.0000 h −1 ). The findings better identified the bacterial growth stages and might enable better prediction of composting temperatures and the degree of maturation.

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Mathematical modeling of olive mill waste composting process

Cited by 39 publications

References 37 publications

Olive‐derived biomass as a source of energy and chemicals

Olive‐derived biomass as a source of energy and chemicals

Transcriptomic Analysis Using Olive Varieties and Breeding Progenies Identifies Candidate Genes Involved in Plant Architecture

New insights into the kinetics of bacterial growth and decay in pig manure–wheat straw aerobic composting based on an optimized PMA–qPCR method

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