Dynamic Matrix Control of a Reactive Distillation Process for Biodiesel Production

Gıwa, Abdulwahab; Owolabi, John Olusoji; Giwa, Saidat Olanıpekun

doi:10.4028/www.scientific.net/jera.45.132

Cited by 17 publications

(44 citation statements)

References 16 publications

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“…En la infección ocasionada por SARS-CoV-1 y diversos virus respiratorios se ha sugerido la presencia de una "tormenta de citoquinas" 17 . En el caso de SARS-CoV-2 también se sugieren mecanismos inflamatorios semejantes que llevan al deterioro clínico de los pacientes 18,19 . Esta respuesta se define por bajos niveles de interferones tipo I y III yuxtapuestos a quimiocinas elevadas y alta expresión de interleucina 6 (IL-6) 19 .…”

Section: Respuesta Inflamatoria Ocasionada Por Sars-cov-2unclassified

SARS-CoV-2: estructura, replicación y mecanismos fisiopatológicos relacionados con COVID-19

Llaveta¹,

Arandia-Guzmán²

2020

Gac Med Bol

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SARS-CoV2 es causante del síndrome respiratorio agudo severo, enfermedad que ha sido también nombrada COVID-19, fue notificado a fines del año 2019 como un nuevo betacoronavirus en personas expuestas en un mercado de mariscos en Wuhan, China. El virus desde esa fecha se ha ido propagando rápidamente provocando una pandemia, y afectando a diversos países en mayor o menor magnitud. Actualmente existe información variada difundida sobre el virus y la enfermedad; los conocimientos sobre la fisiopatología y la manera en la que debe ser gestionada esta entidad han ido cambiando a través de tiempo. A pesar del interés que se ha generado en los mecanismos fisiopatológicos de la enfermedad y sus complicaciones, estos no se han llegado a descifrar totalmente. Mediante el presente artículo se hace una revisión sistematizada de la estructura, replicación y aspectos fisiopatológicos relacionados con SARS-CoV2, que ha provocado un elevado índice de morbimortalidad en la población a nivel mundial.

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Section: Respuesta Inflamatoria Ocasionada Por Sars-cov-2unclassified

SARS-CoV-2: estructura, replicación y mecanismos fisiopatológicos relacionados con COVID-19

Llaveta¹,

Arandia-Guzmán²

2020

Gac Med Bol

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“…According to Giwa et al (2015), process optimization where other process factors are kept constant and varying one, does not correctly capture the inter-relationship existing amongst the factors. Hence, such procedure may not accurately predict the best combination of interaction of factors that gives the optimum outcome of the process.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Mechanical Oil Expression from Sandbox (Hura crepitans Linn.) Seeds

Onwe¹,

Bamgboye²

2021

Turkish Journal of Agricultural Engineering Research (TURKAGER)

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Optimization of process variables has become very vital in oil extraction processes to obtain maximum oil yield from oilseeds and nuts. This work focussed on the optimization of process oil extraction process from sandbox seed by mechanical expression. Effects of moisture content, roasting temperature, roasting time, expression pressure and expression time on oil yield from sandbox seed was studied using a 5×5 Central Composite Rotatable Design of Response Surface Methodology experimental design. Results obtained were subjected to Analysis of Variance (ANOVA) and SPSS statistical tool at (p = 0.05). Optimum conditions predicted were validated by experiments. All the processing factors were significant at (p = 0.05) for the sandbox oil yield except roasting temperature. The experimental results and predicted values showed low deviation (0.01-0.62). Oil yields obtained from the sandbox seed at varying process conditions varied from 16.38-38.68%. The maximum oil yield of 38.68% was obtained when the sandbox seed was subjected to process conditions of 6% moisture content, 85°C roasting temperature, 15 min roasting time, expression pressure of 20 MPa and 8 min pressing time. Mathematical equations to predict sandbox seed oil yield at varying process conditions were developed with an R2 (0.8908). The optimum extractable oil yield of 38.95% was predicted for sandbox seed at processing conditions of 7.03% moisture content, 97.72°C roasting temperature, 11.32 min roasting time, 15.11 MPa expression pressure and 8.57 min expression time. The study results provide data for designs of process and equipment for oil extraction from sandbox and other oilseeds.

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“…To further develop the mechanical oil expression process from sandbox seed for both commercial and industrial applications, there is need to quantify the oil yield as influenced by the processing parameters using the Response Surface Methodology (RSM). The RSM was developed as a suitable analytical instrument for optimization of process variables through the use of Central Composite Design (CCD), Box-Behnken design and D-optimal experimental designs [11]. RSM has been described as an effective method in relating the interaction of individual variables such as moisture content, roasting temperature and time, expression pressure and duration relatively to oil yield.…”

Section: Introductionmentioning

confidence: 99%

“…RSM has been described as an effective method in relating the interaction of individual variables such as moisture content, roasting temperature and time, expression pressure and duration relatively to oil yield. Better than the conventional methods, the RSM utilizes minimal experimental runs to predict a combination of process variables for optimal result(s) and also develops mathematical expression(s) relating the variables and response(s) [11]. With this understanding, models can be developed from experimental procedures to predict oil yields from oil-bearing materials relatively to process variables.…”

Section: Introductionmentioning

confidence: 99%

Effect of process conditions on Sandbox seed oil yield by mechanical expression: A response surface approach

David¹,

Adeleke²

2020

Poljoprivredna tehnika

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Cost of solvent oil extraction methods has made mechanical oil expression a desirable alternative. The effect of process variables on mechanical oil expression from sandbox seed was studied. The experimental design used for the study was a 52 Central Composite Rotatable Design of Response Surface Methodology. Experimental factors considered were: moisture content, roasting temperature, roasting time, expression pressure and expression time. Results obtained were analyzed at a0.05. The oil yield from the sandbox seed ranged from 16.38-38.68%, and was increased at processing variable ranges of (4.0-8.0%) moisture content, (80.0-90.0°C) roasting temperature, (5.0-15.0%) roasting time, (15.0-20.0 MPa) expression pressure and (6.0-8.0 min) extraction time. The maximum oil yield of 38.68% was obtained at the processing conditions of 6% moisture content, 85 °C roasting temperature, 15 min roasting time, expression pressure of 20 MPa and 8 min pressing time. Model equation relating the process variables to oil yield was developed. Coefficient of determination (R2) relating the process was 0.8908. The result showed that moisture content, roasting time, expression pressure and expression time had a significant influence on the sandbox oil yield. The results obtained in this study can serve for process and equipment designs for oil extraction from sandbox and other oilseeds and nuts.

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Dynamic Matrix Control of a Reactive Distillation Process for Biodiesel Production

Cited by 17 publications

References 16 publications

SARS-CoV-2: estructura, replicación y mecanismos fisiopatológicos relacionados con COVID-19

SARS-CoV-2: estructura, replicación y mecanismos fisiopatológicos relacionados con COVID-19

Optimization of Mechanical Oil Expression from Sandbox (Hura crepitans Linn.) Seeds

Effect of process conditions on Sandbox seed oil yield by mechanical expression: A response surface approach

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