Gas Biofuels from Solid Substrate Hydrogenogenic-Methanogenic Fermentation of the Organic Fraction of Municipal Solid Waste

Escamilla‐Alvarado, Carlos; Esparza-Garcı́a, F.; Rı́os-Leal, Elvira; Hernández-Vera, R.; Ponce-Noyola, M.T.; Poggi‐Varaldo, Héctor M.

doi:10.1016/j.jbiotec.2010.08.051

Cited by 12 publications

(32 citation statements)

References 3 publications

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“…In order to overcome these difficulties, and to get the production of biofuels with lesser retention time, pretreatments are applied at the lignocellulosic biomass wastes, many successful pretreatment techniques have been studied, and applied in various methods, these techniques can be broadly classified in three main categories, as Physical or Mechanical, Chemical & Physico Chemical, and Biological techniques [27], [11].…”

Section: Pre-treatment and Its Typesmentioning

confidence: 99%

“…Achieving these factors increases total hydrolysis yield of lignocellulose, and reduce the digestion time. This treatment method cannot remove lignin, and requires high energy [11], [20], [27], [37]. This treatment is performed by applying one or more of these techniques: 1.…”

Section: Physical or Mechanical Pretreatmentmentioning

confidence: 99%

“…This treatment causes the hydrolysis of hemicellulose, which is then subjected to produce HMF, furfural, monomers, and others in acid medium [33], [81]. This method results in increasing the accessible area of cellulose and hemicellulose, partial or nearly complete delignification, decreasing cellulose crystallinity, decreasing rate of polymerization, and partial or complete hemicellulose hydrolysis [27], [11].…”

Section: Acidic Pretreatmentmentioning

confidence: 99%

“…The solid waste utilized may be municipal solid waste or the agriculture solid waste, or forestry waste also called biomass. These wastes are successfully utilized for the production of biofuels, which include biogas and bio liquids [1], [28], [32], [36].…”

Section: Introductionmentioning

confidence: 99%

“…Biogas production from various types of solid waste and residues like municipal solid waste and agricultural solid waste by anaerobic digestion method has been experimentally investigated and is considered to be one of the best future options available, as it is economically much feasible due to its smaller requirements and using waste or residues as feedstock [11], [27].…”

Section: Introductionmentioning

confidence: 99%

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Microwave Individual and Combined Pre-Treatments on Lignocellulosic Biomasses

Laghari¹

2014

IOSRJEN

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-Lignocellulosic Biomass is considered to be the best option for biofuels production, due to the energy and food security concerns comparative to the use of other wastes, but this biomass has limited digestibility due to many factors like particle size, crystallinity of cellulose, lignin content etc. Pre-treatments enhance the digestibility by reducing the effect of these factors. Different pretreatment types exist, but now microwave pretreatment (individual or combined with other pretreatments) is becoming common due to its better results. This paper reviews the advantages of using lignocellulosic biomass in terms of the biofuels obtained from it, common pretreatments applied on it, and the effects of microwave pretreatments (individual and combined) over it.

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Section: Pre-treatment and Its Typesmentioning

confidence: 99%

Section: Physical or Mechanical Pretreatmentmentioning

confidence: 99%

Section: Acidic Pretreatmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Microwave Individual and Combined Pre-Treatments on Lignocellulosic Biomasses

Laghari¹

2014

IOSRJEN

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Comparison of partial least squares‐discriminant analysis and soft independent modeling of class analogy methods for classification of Saccharomyces cerevisiae cells based on mid‐infrared spectroscopy

Sampaio

Calado

2021

Journal of Chemometrics

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Saccharomyces cerevisiae is a widely studied and highly utilized eukaryotic organism, ideally suited to high throughput metabolic analysis, being a powerful model for understanding basic cell biology. This study compares the models developed by two supervised methods, such as the partial least squares‐discriminant analysis (PLS‐DA) and soft independent modeling of class analogy (SIMCA), using mid‐infrared (MIR) spectra registered during the growth of S. cerevisiae in bioreactor. The spectra were analyzed using the principal component analysis (PCA), with resolution in five different classes, which were well defined in terms of their biochemical parameters. The SIMCA model showed a significant fitting, 99%, validation, 98%, and prediction parameters, 97%, comparatively with PLS‐DA model. Regarding accuracy, sensitivity, and specificity parameters, a value between 83% and 100% was achieved for both methods, but the SIMCA method showed significant specificity and sensitivity values, 98%–100%, representing a suitable classification tool of yeast cells. According to these results, the MIR spectra associated with chemometric tools can be considered a valued strategy for a classification and detailed analysis for an accurate control, allowing to predict the evolution of the corrected process in advance, avoiding losses of time and costs associated with new fermentations, identifying a significant number of samples in any biotechnological process.

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