Ridgetail White Prawns, Exopalaemon carinicauda, Storage Time Rapid Determination Using Electronic Nose

被引：10

作者：

Hui, Guohua ^{[1
]}

Yue, Yang ^{[1
]}

Yao, Zhou ^{[1
]}

Zhou Yuren ^{[1
]}

Wang Minmin ^{[1
]}

Jie, Huang ^{[1
]}

Yin Fangyuan ^{[1
]}

Feng, Shen ^{[1
]}

Yan, Jiang ^{[1
]}

Wang Lvye ^{[1
]}

Deng Shanggui ^{[2
]}

机构：

[1] Zhejiang Gongshang Univ, Coll Food Sci & Biotechnol, Food Safety Key Lab Zhejiang Prov, Hangzhou 310035, Zhejiang, Peoples R China

[2] Zhejiang Ocean Univ, Coll Food & Pharm, Zhoushan 316000, Peoples R China

来源：

FOOD ANALYTICAL METHODS | 2014年 / 7卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Exopalaemon carinicauda; Storage time rapid determination; Electronic nose; Stochastic resonance; Signal-to-noise ratio; SHELF-LIFE; CLASSIFICATION; SWEET;

D O I：

10.1007/s12161-013-9703-8

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

Ridgetail white prawns, Exopalaemon carinicauda, storage time rapid determination method based on electronic nose was investigated in this paper. Prawns were stored at 4 A degrees C for 9 days. Each day, electronic nose responses, and total volatile basic nitrogen index were measured during the storage period. Total volatile basic nitrogen index provided a freshness standard according to China standard protocols. Signal-to-noise ratio spectrum calculated by stochastic resonance discriminates prawn samples under different storage days successfully. Prawns' storage time determination model was developed based on signal-to-noise ratio eigenvalues. Validating experiments demonstrated that this model predicted prawn storage time with an accuracy of 90 %. Prawn freshness critical value -82.77066 was also obtained by referring to total volatile basic nitrogen index and the developed model. This method is promising in seafood freshness evaluation.

引用

页码：986 / 993

页数：8

共 27 条

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[2]

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