Abstract—Internal concentration of CO₂ and O₂ is influenced by intercellular space volume (V_in). 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 V_in is time consuming. Therefore, an aim of present study is to determine intercellular space volume (V_in) of citrus fruits using multiple linear regression based on physical measurements such as mass (m), volume 1 as Archimedes principle (V_t), volume 2 as sphere (V_s), vertical dimension diameter (vd), horizontal dimension diameter 1 (hd1), horizontal dimension diameter 2 (hd2) and real density (P_t). Sample was physically measured to obtain its mass, diameters, volumes, and real density. The values of physical measurements were used to predict V_in by using four prediction models. Multiple regression was engaged to develop each category model. The model in equation (V_in = 0.234−0.932m+0.993V_t) 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 V_in. 
 

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