FOOD SCIENCE ›› 2011, Vol. 32 ›› Issue (13): 54-57.doi: 10.7506/spkx1002-6630-201113013

• Basic Research • Previous Articles     Next Articles

A Prediction Model for Chlorophyll Content in Post-harvest Broccoli Based on Color Parameter Changes

XU Feng1, YANG Zhen-feng2,PEI Jiao-yan1, ZHENG Yong-hua1,*   

  1. 1. College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; 2. College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo 315100, China
  • Online:2011-07-15 Published:2011-07-02

Abstract: In order to explore the relationship between chlorophyll content and color change of post-harvest broccoli during storage, a prediction model for chlorophyll content was established based on color parameter changes. Freshly harvested broccoli was stored at different temperatures (273, 278, 283, 293 K and 303 K), and the color parameter -a/b value and chlorophyll content of broccoli were determined. Kinetic models of -a/b value and chlorophyll content with respect to storage time and temperature were established on the basis of Arrhenius equation. In addition, a prediction model for chlorophyll content based on -a/b value was further developed according to the linear relationship between chlorophyll content and -a/b value. Moreover, the prediction model for chlorophyll content based on -a/b value was validated using broccoli stored at 275, 280, 285, 295 K and 305 K with a relative prediction error of 4.31%. The chlorophyll content of broccoli can be accurately predicted at the storage temperature from 273 K to 305 K using this prediction model. Therefore, the prediction model is acceptable for applying the color parameter -a/b to evaluate broccoli quality.

Key words: broccoli, chlorophyll content, color parameter, prediction model

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