Empirical Models and Process Optimization for Prediction of Nutritional Parameters of Stored Cowpea Variety (IT96D-610K)

This paper presents a study carried out to develop empirical models and process optimization for prediction of nutritional parameters of stored cowpea variety (IT96D-610K). Twelve small scale prototype silos made of two different materials (wooden and galvanised mild steel) were constructed and used...

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Main Authors: Sunmonu Musliu Olushola, Odewole Michael Mayokun, Oyeleke Ibukunolowa Omotola, Otitodun Grace Olufunke, Omobowale Mobolaji, Ogundare Moses Odunayo
Format: Article
Language:English
Published: Sciendo 2018-12-01
Series:Acta Technologica Agriculturae
Subjects:
Online Access:https://doi.org/10.2478/ata-2018-0026
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spelling doaj-62332651d61647c4ad870654ea37e6972021-09-06T19:41:21ZengSciendoActa Technologica Agriculturae1338-52672018-12-0121414114810.2478/ata-2018-0026ata-2018-0026Empirical Models and Process Optimization for Prediction of Nutritional Parameters of Stored Cowpea Variety (IT96D-610K)Sunmonu Musliu Olushola0Odewole Michael Mayokun1Oyeleke Ibukunolowa Omotola2Otitodun Grace Olufunke3Omobowale Mobolaji4Ogundare Moses Odunayo5University of Ilorin, Kwara State, NigeriaUniversity of Ilorin, Kwara State, NigeriaUniversity of Ilorin, Kwara State, NigeriaNigerian Stored Products Research Institute, Ilorin, Kwara State, NigeriaUniversity of Ibadan, Oyo State, NigeriaNigerian Stored Products Research Institute, Ilorin, Kwara State, NigeriaThis paper presents a study carried out to develop empirical models and process optimization for prediction of nutritional parameters of stored cowpea variety (IT96D-610K). Twelve small scale prototype silos made of two different materials (wooden and galvanised mild steel) were constructed and used in the storage of the cowpea for a 4-month period. Seven kilograms of cowpea at 9.88% moisture content admixed with DE having two different particle sizes (7.5 × 10−5 m and 9 × 10−5 m) and three different concentrations (0.0001 kg, 0.00005 kg and 0 kg) in varying combinations were loaded into each prototype silo structure. The control (zero/no concentration) was set without the use of DE in each of the wooden and galvanised mild steel structures, respectively. Temperature, relative humidity and moisture content within the storage structures were monitored. Nutritional parameters such as ash, crude protein, fat, crude fibre, and carbohydrate content were also measured alongside moisture. Significant differences (P <0.05) were observed between the control sample and treated samples. Six model equations using Essential Regression Software package were further generated to determine the relationship between input and output parameters, and were checked for adequacy and validity. The model equations developed were used to get the optimum values of output parameters which are: minimum moisture content (8.87%), minimum ash content (4.07%), maximum crude protein (22.86%), maximum fat (2.04%), maximum crude fibre (2.26%) and maximum carbohydrate (60.31%) of the stored cowpea at various conditions. Study results show that all the storage conditions had significant effects at P <0.05.https://doi.org/10.2478/ata-2018-0026cowpeadiatomaceous earthstoragenutritional compositionsilos
collection DOAJ
language English
format Article
sources DOAJ
author Sunmonu Musliu Olushola
Odewole Michael Mayokun
Oyeleke Ibukunolowa Omotola
Otitodun Grace Olufunke
Omobowale Mobolaji
Ogundare Moses Odunayo
spellingShingle Sunmonu Musliu Olushola
Odewole Michael Mayokun
Oyeleke Ibukunolowa Omotola
Otitodun Grace Olufunke
Omobowale Mobolaji
Ogundare Moses Odunayo
Empirical Models and Process Optimization for Prediction of Nutritional Parameters of Stored Cowpea Variety (IT96D-610K)
Acta Technologica Agriculturae
cowpea
diatomaceous earth
storage
nutritional composition
silos
author_facet Sunmonu Musliu Olushola
Odewole Michael Mayokun
Oyeleke Ibukunolowa Omotola
Otitodun Grace Olufunke
Omobowale Mobolaji
Ogundare Moses Odunayo
author_sort Sunmonu Musliu Olushola
title Empirical Models and Process Optimization for Prediction of Nutritional Parameters of Stored Cowpea Variety (IT96D-610K)
title_short Empirical Models and Process Optimization for Prediction of Nutritional Parameters of Stored Cowpea Variety (IT96D-610K)
title_full Empirical Models and Process Optimization for Prediction of Nutritional Parameters of Stored Cowpea Variety (IT96D-610K)
title_fullStr Empirical Models and Process Optimization for Prediction of Nutritional Parameters of Stored Cowpea Variety (IT96D-610K)
title_full_unstemmed Empirical Models and Process Optimization for Prediction of Nutritional Parameters of Stored Cowpea Variety (IT96D-610K)
title_sort empirical models and process optimization for prediction of nutritional parameters of stored cowpea variety (it96d-610k)
publisher Sciendo
series Acta Technologica Agriculturae
issn 1338-5267
publishDate 2018-12-01
description This paper presents a study carried out to develop empirical models and process optimization for prediction of nutritional parameters of stored cowpea variety (IT96D-610K). Twelve small scale prototype silos made of two different materials (wooden and galvanised mild steel) were constructed and used in the storage of the cowpea for a 4-month period. Seven kilograms of cowpea at 9.88% moisture content admixed with DE having two different particle sizes (7.5 × 10−5 m and 9 × 10−5 m) and three different concentrations (0.0001 kg, 0.00005 kg and 0 kg) in varying combinations were loaded into each prototype silo structure. The control (zero/no concentration) was set without the use of DE in each of the wooden and galvanised mild steel structures, respectively. Temperature, relative humidity and moisture content within the storage structures were monitored. Nutritional parameters such as ash, crude protein, fat, crude fibre, and carbohydrate content were also measured alongside moisture. Significant differences (P <0.05) were observed between the control sample and treated samples. Six model equations using Essential Regression Software package were further generated to determine the relationship between input and output parameters, and were checked for adequacy and validity. The model equations developed were used to get the optimum values of output parameters which are: minimum moisture content (8.87%), minimum ash content (4.07%), maximum crude protein (22.86%), maximum fat (2.04%), maximum crude fibre (2.26%) and maximum carbohydrate (60.31%) of the stored cowpea at various conditions. Study results show that all the storage conditions had significant effects at P <0.05.
topic cowpea
diatomaceous earth
storage
nutritional composition
silos
url https://doi.org/10.2478/ata-2018-0026
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