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首页> 外文期刊>Journal of food engineering >Ripeness And Rot Evaluation Of Tommy Atkins' Mango Fruit Through Volatiles Detection
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Ripeness And Rot Evaluation Of Tommy Atkins' Mango Fruit Through Volatiles Detection

机译：挥发分检测对汤米·阿特金斯芒果果实的成熟度和腐烂评价

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摘要

An ultra fast GC (zNose~(TM)), based on an uncoated surface acoustic wave sensor, was employed to detect the volatiles of 'Tommy Atkins' mango fruits. The detected volatile signals were used to identify rot occurrence and evaluate mango ripeness during shelf life. Respiration rate, color, and total soluble solids (TSS) were measured accordingly to indicate mango quality status. Two peaks detected with the zNose~(TM) predicted rot occurrence with 90% and 87% accuracy, respectively, while another peak was 80% accurate in predicting ripeness with respect to a reference color index. Partial least squares (PLS) regression combined with variable importance for projection (VIP) was used to select the peaks important in prediction. The rot prediction methods could have potential applications in the mango industry for the diagnosis of the occurrence of mango rots.
机译：基于未涂覆的表面声波传感器的超快速气相色谱仪（zNoseTM）用于检测'Tommy Atkins'芒果果实的挥发物。检测到的挥发性信号用于识别腐烂的发生并评估货架期期间的芒果成熟度。相应地测量呼吸速率，颜色和总可溶性固形物（TSS），以表明芒果的质量状态。用zNose_TM检测到的两个峰分别以90％和87％的准确度预测了腐烂的发生，而另一个峰在预测相对于参考色指数的成熟度方面准确度为80％。偏最小二乘（PLS）回归与预测重要性（VIP）变量结合使用，以选择对预测重要的峰。腐烂预测方法在芒果工业中可能具有潜在的应用，可用于诊断芒果腐烂。

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