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...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2018-12-01
|
Series: | Acta Technologica Agriculturae |
Subjects: | |
Online Access: | https://doi.org/10.2478/ata-2018-0026 |
id |
doaj-62332651d61647c4ad870654ea37e697 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT sunmonumusliuolushola empiricalmodelsandprocessoptimizationforpredictionofnutritionalparametersofstoredcowpeavarietyit96d610k AT odewolemichaelmayokun empiricalmodelsandprocessoptimizationforpredictionofnutritionalparametersofstoredcowpeavarietyit96d610k AT oyelekeibukunolowaomotola empiricalmodelsandprocessoptimizationforpredictionofnutritionalparametersofstoredcowpeavarietyit96d610k AT otitodungraceolufunke empiricalmodelsandprocessoptimizationforpredictionofnutritionalparametersofstoredcowpeavarietyit96d610k AT omobowalemobolaji empiricalmodelsandprocessoptimizationforpredictionofnutritionalparametersofstoredcowpeavarietyit96d610k AT ogundaremosesodunayo empiricalmodelsandprocessoptimizationforpredictionofnutritionalparametersofstoredcowpeavarietyit96d610k |
_version_ |
1717766433162657792 |