微真空条件下基于色泽参数变化的西兰花叶绿素质量分数预测模型

doi:10.3969/j.issn.1673-1689.2014.02.015

首页 > 过刊浏览>2014年第33卷第2期 >204-209. DOI:10.3969/j.issn.1673-1689.2014.02.015

微真空条件下基于色泽参数变化的西兰花叶绿素质量分数预测模型
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                        10.3969/j.issn.1673-1689.2014.02.015
                    
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基金项目:山东省自然科学基金联合专项项目(ZR2011CL009)

Prediction Model for Chlorophyll Content in Post-Harvest Broccoli Based on Color Parameter Changes in Micro-Vacuum Conditions

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为研究微真空条件下西兰花叶绿素质量分数与其表面色泽变化的关系,建立基于色泽参数(-a/b值)变化的西兰花叶绿素质量分数预测模型,将采后西兰花分别贮藏于压力为53.33~66.66、66.66~79.99、79.99~93.32 kPa,温度为(3±0.5)℃的微真空及常压条件下,通过定期随机取样测定西兰花色泽参数-a/b值及叶绿素质量分数变化与回归分析,建立叶绿素降解的预测模型。试验数据分析结果表明,53.33~66.66、66.66~79.99、79.99~93.32 kPa及常压条件下叶绿素质量分数、-a/b值与贮藏时间之间的动力学模型分别为C chl1=-0.008 5t+0.945 4,C chl2=-0.070 6t+0.756 4,C chl3=-0.071 4t+0.726 4,C chl4=-0.081 2t+0.782 9和-a1/b1=-0.014 3t+1.370 8,-a2/b2=-0.010 68t+1.456 8,-a3/b3=-0.127 1t+1.452 1,-a4/b4=-0.146t+1.519 3,均符合零级动力学模型。根据叶绿素质量分数与色泽参数(-a/b值)之间的线性关系,建立微真空条件下基于色泽参数变化的叶绿素质量分数的预测模型,分别为:C chl1=0.598 5(-a/b)-0.108 7(R2=0.997 6),C chl2=0.608 7(-a/b)-0.149 3(R2=0.981 7),C chl3=0.559 3(-a/b)-0.083 7(R2=0.997 7),C chl4=0.531 9(-a/b)-0.035 1(R2=0.986 9);经模型验证表明,应用色泽参数变化预测西兰花叶绿素质量分数是可行的。该研究结果为西兰花的无损检测提供了良好的理论支持。

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In order to explore the relationship between chlorophyll content and color changes of post-harvest broccoli in micro-vacuum conditions,a prediction model for chlorophyll content was established based on color parameter changes,freshly broccoli was stored in micro-vacuum conditions of pressure of 53.33 ~66.66、66.66 ~79.99、79.99 ~93.32 kPa and atmospheric pressure, temperature of(3±0.5) ℃,a predictive model of chlorophyll degradation was established through measuring the color parameter-a/b value,chlorophyll content changes and regression analysis. The results showed that:under 53.33~66.66、66.66~79.99、79.99~93.32 kPa and atmospheric pressure, kinetic models of-a/b value and chlorophyll content with respect to storage time were established according to the test data:C chl 1 =-0.008 5t+0.945 4,C chl 2 =-0.070 6t+0.756 4,C chl 3 =-0.071 4t+0.726 4, C chl 4 =-0.081 2t0.782 9 和-a1 /b1 =-0.014 3t+1.370 8,-a2 /b2 =-0.010 68t+1.456 8,-a3 /b3 =-0.127 1t+ 1.452 1,-a4 /b4 =-0.146t +1.519 3,they all met zero order kinetic model. In addition, prediction models for chlorophyll content based on-a/b value were further developed according to the linear relationship between chlorophyll content and-a/b value:C chl 1 =0.598 5(-a/b)-0.108 7(R2=0.997 6), C chl 2 =0.608 7(-a/b)-0.149 3(R2=0.9817),C chl 3 =0.559 3(-a/b)-0.083 7(R2=0.997 7),C chl 4 =0.5319(-a/b)-0.035 1(R2=0.986 9);they were feasible to use the color parameters changes to predict the chlorophyll content of broccoli after verification. Results of the study provided good support for the non-destructive testing of broccoli.

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王丽娇,张圣杰,李文香,王士奎,孙树杰.微真空条件下基于色泽参数变化的西兰花叶绿素质量分数预测模型[J].食品与生物技术学报,2014,33(2):204-209.

WANG Lijiao, ZHANG Shengjie, LI Wenxiang, WANG Shikui, SUN Shujie. Prediction Model for Chlorophyll Content in Post-Harvest Broccoli Based on Color Parameter Changes in Micro-Vacuum Conditions[J]. Journal of Food Science and Biotechnology,2014,33(2):204-209.

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在线发布日期: 2014-06-17
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