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Intercellular Space Volume Determination of Citrus Fruits Using Multiple Linear Regression

Andi Dirpan
Laboratory of Agricultural Process Engineering, Agriculture Faculty, Ehime University, Ehime, Japan
Department of Food Science and Technology, Agriculture Faculty, Hasanuddin University, Makassar, Indonesia
Abstract—Internal concentration of CO2 and O2 is influenced by intercellular space volume (Vin). Vin, which located inside fruit, is thought to be a diffusion pathway through plant organs to supply adequate O2 for respiration and allow diffusion of CO2. This indicates that Vin is an important factor to be known. Unfortunately, measuring of Vin is time consuming. Therefore, an aim of present study is to determine intercellular space volume (Vin) of citrus fruits using multiple linear regression based on physical measurements such as mass (m), volume 1 as Archimedes principle (Vt), volume 2 as sphere (Vs), vertical dimension diameter (vd), horizontal dimension diameter 1 (hd1), horizontal dimension diameter 2 (hd2) and real density (Pt). Sample was physically measured to obtain its mass, diameters, volumes, and real density. The values of physical measurements were used to predict Vin by using four prediction models. Multiple regression was engaged to develop each category model. The model in equation (Vin = 0.234−0.932m+0.993Vt) had the highest score in determination coefficient (R2=0.998) and the lowest in root mean squared error (RMSE=1.533), which implied the best equation to determine Vin
 
Index Terms—determination, prediction, model, intercellular space volume, citrus

Cite: Andi Dirpan, "Intercellular Space Volume Determination of Citrus Fruits Using Multiple Linear Regression," Journal of Advanced Agricultural Technologies, Vol. 3, No. 2, pp. 72-77, June 2016. Doi: 10.18178/joaat.3.2.72-77
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