TITLE

Development and validation of empirical models for the prediction of selected antioxidants in stored oranges

AUTHOR(S)
Olushola, Sunmonu Musliu; Adesoji, Olaniyan Mathew; Junior, Aduba Joseph
PUB. DATE
June 2014
SOURCE
Agricultural Engineering International: CIGR Journal;Jun2014, Vol. 16 Issue 2, p151
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Empirical models were developed to predict some selected antioxidants present in stored oranges under a modified atmosphere. Three sets of four different types of passive evaporative cooling structures made of two different materials; clay and aluminium were designed and constructed as part of the study. One set consisted of four separate cooling chambers. Two cooling chambers were made with aluminium container (cylindrical and rectangular shapes) and the other two were made of clay container (cylindrical and rectangular). These four containers were separately inserted inside a bigger clay pot inter-spaced with clay soil of 5 cm (to form tin-in-pot, pot-in-pot, tin-in-wall and wall-in wall) with the outside structure wrapped with jute sack. The other two sets followed the same pattern with interspacing of 7 and 10 cm respectively. The set with 7 cm interspace served as the control in which the interspace soil and the jute sacks were constantly wetted at intervals of two to four hours depending on the rate of evaporation with water at room temperature. The other two sets (5 and 10 cm interspaced soil) were constantly wetted with salt solution (Table salt (Nacl)) at the same interval to keep the soil in moist condition. Freshly harvested matured oranges were used for the experiments and the temperature and relative humidity were monitored daily. The vitamin A, C and E, bacterial and fungal counts of this produce were determined at intervals of three days for a period of 21 days. Mathematical models (using essential regression software package) were developed to predict the vitamin A, vitamin C, and vitamin E contents of the stored oranges at various conditions considered in the study. The existence and sufficiency of the regression models given in the equations were also examined using the analysis of variance (ANOVA) of the multiple regression models. The models were found to be at 5% level of significant. The models were validated using pair-wise T-test and the results of the pair-wise shows that there is no significance difference between the mean of observed and the predicted for all the models developed. The Radj² value obtained were 82.43%, 86.63% and 76.48% for vitamin A, vitamin C, vitamin E contents respectively for the stored oranges.
ACCESSION #
97212423

 

Related Articles

  • Determinants of normative processes: comparison of two empirical methods of specification. Heise, David // Quality & Quantity;Nov2015, Vol. 49 Issue 6, p2559 

    This study focused on how an action determines impressions of the individuals participating in the action, a substantive area with problematic data in the form of constricted variances, multicollinearity, and excessive influence of a few extreme cases. Stepwise regression often is used to...

  • Physiological and molecular analysis of aluminum tolerance in selected Kenyan maize lines. Matonyei, T.; Cheprot, R.; Liu, J.; Piñeros, M.; Shaff, J.; Gudu, S.; Were, B.; Magalhaes, J.; Kochian, L. // Plant & Soil;Apr2014, Vol. 377 Issue 1/2, p357 

    Aims: Aluminum (Al) toxicity is an important limitation to maize production in many tropical and sub-tropical acid soil areas. The aim of this study was to survey the variation in Al tolerance in a panel of maize lines adapted for Kenya and look for novel sources of Al tolerance. Methods: 112...

  • Inflation and Relative Price Variability: New Evidence for the United States. Becker, Sascha S.; Nautz, Dieter // Southern Economic Journal;Jul2009, Vol. 76 Issue 1, p146 

    This article provides new evidence on the empirical relationship between inflation and relative prices in the United States. In line with the predictions of recent monetary search models, we find that the impact of expected inflation on relative price variability (RPV) has disappeared during the...

  • Estimates based on preliminary data from a specific subsample and from respondents not included in the subsample. Falorsi, Piero Demetrio; Alleva, Giorgio; Bacchini, Fabio; Iannaccone, Roberto // Statistical Methods & Applications;2005, Vol. 14 Issue 1, p83 

    Various approaches to obtaining estimates based on preliminary data are outlined. A case is then considered which frequently arises when selecting a subsample of units, the information for which is collected within a deadline that allows preliminary estimates to be produced. At the moment when...

  • Revenue Generation in Nigeria Through E-Taxation (A Study of Selected States). Okafor, Gloria Tochukwu // European Journal of Economics, Finance & Administrative Sciences;Jun2012, Issue 49, p126 

    Purpose- This research is aimed at finding out whether electronic taxation will significantly curb tax evasion and avoidance and improve revenue generation. Design/Methodology Approach- Survey method was adopted. The data for the study were collected from primary and secondary sources. The...

  • Investigating the effects of counseling programs on runaway youth. Iravani, Mohammad Reza; Asmin, Hossein Ebrhaimzadeh // Management Science Letters;2014, Vol. 4 Issue 4, p833 

    This paper presents an empirical investigation to study the effects of counseling programs on reducing the runaway youth in Iran. The study selects a sample of 30 students and divides them into two groups of control and experiment. The first group is kept under eight sessions of social skills...

  • A Spectral Decomposition for Structural VAR Models. Stiassny, Alfred // Empirical Economics;1996, Vol. 21 Issue 4, p535 

    Based on structural VARs, this paper proposes a spectral decomposition which allows to infer the effects of changes in one variable on the other variables in the frequency domain. It is shown that there is a close relationship between this concept and conventional forecast error variance...

  • WHY SHOULD ONE INVEST IN A LIFE INSURANCE PRODUCT? AN EMPIRICAL STUDY. Dash, Ganesh; Sood, Tulika // Researchers World: Journal of Arts, Science & Commerce;Jan2013, Vol. 4 Issue 1, p36 

    Life insurance as a product is always one of the toughest to sell. Though one can argue about its benefits in the long term, in this modern materialistic world, customers are getting very cautious about their investments and the returns out of it. In this study, an attempt was made to make the...

  • GENERALIZED MULTIVARIATE REGRESSION ESTIMATORS FOR MULTI-PHASE SAMPLING USING MULTI-AUXILIARY VARIABLES. Ahmad, Zahoor; Hussin, Abdul Ghapor; Hanif, Muhammad // Pakistan Journal of Statistics;2010, Vol. 26 Issue 4, p569 

    In this paper we propose a number of generalized multivariate regression estimators for two-phase and multi-phase sampling in the presence of multi-auxiliary variables for estimating population mean for a single variable and a vector of variables of interest(s). The expressions for mean square...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics