食品科学

• 分析检测 • 上一篇    下一篇

基于电子鼻技术预测草莓采后品质

赵秀洁,吴海伦,潘磊庆,屠 康*   

  1. 南京农业大学食品科学技术学院,江苏 南京 210095
  • 出版日期:2014-09-25 发布日期:2014-09-17
  • 通讯作者: 屠 康
  • 基金资助:

    公益性行业(农业)科研专项(201303088);国家自然科学基金青年科学基金项目(31101282)

Nondestructive Prediction of Postharvest Strawberry Quality by Electronic Nose

ZHAO Xiu-jie, WU Hai-lun, PAN Lei-qing, TU Kang*   

  1. College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
  • Online:2014-09-25 Published:2014-09-17
  • Contact: TU Kang

摘要:

为建立一种无损检测草莓品质等级的方法,分别将草莓在20 ℃(常温)和4 ℃(低温)条件下贮藏,对草莓进行感官评价,测定质量损失率和硬度以确定其品质等级,提取电子鼻响应信号并进行分析。结果显示:电子鼻传感器阵列所含的10 个传感器响应信号与草莓品质等级相关,大多数传感器与品质等级具有显著相关性。对于常温组和低温组,主成分分析都能够正确区分不同品质等级的草莓果实;通过Fisher判别建立的回归函数对草莓常温组一级、二级、腐败级品质的判别总体准确率为97.5%;对低温组一级、二级、腐败级品质的判别总体准确率为93.3%。结果说明应用电子鼻技术实时监测草莓采后贮藏和流通过程中的品质变化具有可行性。

关键词: 草莓, 理化指标, 品质等级, 电子鼻, 预测

Abstract:

A nondestructive method to predict the postharvest quality of strawberry fruits was proposed. Strawberry fruits
were stored at 20 and 4 ℃, respectively. During the storage, sensory evaluation, weight loss and hardness of strawberry fruits
were determined to evaluate the quality grade and the aroma components were analyzed by electronic nose. The correlation
analysis between the responses of 10 sensors and quality grade showed that most of the sensor responses had a significant
correlation with quality grade. Principal component analysis of sensor responses showed that electronic nose could be used to
distinguish among different quality grades of strawberry fruits. Based on Fisher classifier method, the quality of strawberry
fruits stored at room temperature could be classified at an accuracy of 97.5% for three different grades. Strawberry fruits
stored at low temperature achieved classification accuracy of 93.3% based on electronic nose analysis. Therefore, electronic
nose is applicable to monitor the quality of strawberry fruits during storage and transportation.

Key words: strawberry, physicochemical indexes, quality grade, electronic nose, prediction

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