A novel method for qualitative analysis of edible oil oxidation using an electronic nose

Xu, Lirong; Yu, Xiuzhu; Liu, Lei; Zhang, Rui

doi:10.1016/j.foodchem.2016.01.144

Cited by 158 publications

(83 citation statements)

References 33 publications

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“…[14,15] EN measurement can achieve better stability and reproducibility, compared with human sensory evaluation (HSE). A large number of researches have demonstrated the application of EN coupled with pattern recognition methods in diverse fields, particularly in food quality analysis, including fruits, [16,17] oils, [18,19] grains, [20,21] meat, [22,23] and fish. [6,24] However, there is little information on investigating the usage of EN combined with Vis/NIR spectroscopy for golden pompano freshness prediction.…”

Section: Study Of Golden Pompano (Trachinotusmentioning

confidence: 99%

Study of golden pompano (Trachinotus ovatus) freshness forecasting method by utilising Vis/NIR spectroscopy combined with electronic nose

Zhang

Zhou

Chang

et al. 2018

International Journal of Food Properties

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Golden pompano (Trachinotus ovatus) quality forecasting method utilising Vis/ NIR spectroscopy combined with electronic nose (EN) was investigated in this article. Responses of Vis/NIR spectroscopy and EN to pompanos stored at 4°C were measured for 6 days. Physical/chemical indexes including texture, total volatile basic nitrogen, pH, total viable counts, and human sensory evaluation were synchronously examined as quality references. Chemometric methods including principal component analysis (PCA) and stochastic resonance (SR) were employed for spectroscopic and EN data analysis. Physicochemical examination demonstrated that fish quality decreased rapidly during storage. PCA qualitatively classified freshness degree of pompano samples, while SR signalto-noise ratio (SNR) spectrum using SNR maximum quantitatively characterised quality for all samples. Golden pompano quality predictive models were developed based on spectroscopy, EN, and spectroscopy combined with EN, respectively. Results demonstrated that the model developed based on spectroscopy combined with EN presented a forecasting accuracy of 93.3%. ARTICLE HISTORY

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Section: Study Of Golden Pompano (Trachinotusmentioning

confidence: 99%

Study of golden pompano (Trachinotus ovatus) freshness forecasting method by utilising Vis/NIR spectroscopy combined with electronic nose

Zhang

Zhou

Chang

et al. 2018

International Journal of Food Properties

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“…It is composed of three parts: (1) a sample handling system; (2) a detection system that is made up of an array of gas sensors with partial specificity; and (3) an odor data processing system [16,19]. A comparison of the E-nose and the human nose with respect to their main functional blocks is shown in Figure 1.…”

Section: Electronic Nose (E-nose)mentioning

confidence: 99%

Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges

Zhou

Luo

GholamHosseini

et al. 2017

Sensors

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This paper provides a review of the most recent works in machine olfaction as applied to the identification of Chinese Herbal Medicines (CHMs). Due to the wide variety of CHMs, the complexity of growing sources and the diverse specifications of herb components, the quality control of CHMs is a challenging issue. Much research has demonstrated that an electronic nose (E-nose) as an advanced machine olfaction system, can overcome this challenge through identification of the complex odors of CHMs. E-nose technology, with better usability, high sensitivity, real-time detection and non-destructive features has shown better performance in comparison with other analytical techniques such as gas chromatography-mass spectrometry (GC-MS). Although there has been immense development of E-nose techniques in other applications, there are limited reports on the application of E-noses for the quality control of CHMs. The aim of current study is to review practical implementation and advantages of E-noses for robust and effective odor identification of CHMs. It covers the use of E-nose technology to study the effects of growing regions, identification methods, production procedures and storage time on CHMs. Moreover, the challenges and applications of E-nose for CHM identification are investigated. Based on the advancement in E-nose technology, odor may become a new quantitative index for quality control of CHMs and drug discovery. It was also found that more research could be done in the area of odor standardization and odor reproduction for remote sensing.

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“…Electronic nose (E‐nose) captures volatile compounds in the samples using a series of sensors to simulate artificial sensory . E‐nose has been used for detecting edible oil oxidation . Some preliminary studies have shown the ability of E‐nose to discriminate between oils characterized by different degrees of degradation due to a prolonged frying process and to predict the frying disposal time of sunflower oils used for frying in combination with fuzzy logic analyses …”

Section: Introductionmentioning

confidence: 99%

Rapid Measuring Flavor Quality Changes of Frying Rapeseed Oils using a Flash Gas Chromatography Electronic Nose

Huang

et al. 2019

Euro J Lipid Sci & Tech

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A flash gas chromatography electronic nose (FGC E‐nose) is applied to measure flavor quality changes and monitor the oxidation process of rapeseed oils during frying. Partial least squares regression (PLS) is applied to determine the relationship between total polar compounds (TPC) and some volatile compounds determined by FGC E‐nose in frying rapeseed oils. Qualitative differentiation between frying oil samples with different frying time is analyzed by principal component analysis (PCA) and hierarchical cluster analysis (HCA). The PCA and HCA results show that the FGC E‐nose could be used to discriminate oil samples with different frying time. The results show a good linear relationship (R2 = 0.98; SD = 1.433) between TPC in oil samples measured by AOCS method and that predicted by the FGC E‐nose responses using PLS method. Thus, this study indicates that the FGC E‐nose method could be available for rapid at‐ or on‐line implementation in oxidation control of frying oils. Practical Applications: Standard methods for determining the TPC of frying oil samples are labor‐intensive and require toxic chemicals. The volatile compounds determined by FGC E‐nose show a good linear relationship with TPC in frying rapeseed oil samples. The FGC E‐nose technique is suitable to monitor the frying process and the proposed method has the potential to be a more rapid and convenient tool for quality control of frying oils. A flash gas chromatography electronic nose (FGC E‐nose) is applied to measure flavor quality changes and monitor the oxidation process of rapeseed oils during frying. Partial least squares regression is applied to determine the relationship between total polar compounds and some volatile compounds determined by FGC E‐nose in frying rapeseed oils.

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A novel method for qualitative analysis of edible oil oxidation using an electronic nose

Cited by 158 publications

References 33 publications

Study of golden pompano (Trachinotus ovatus) freshness forecasting method by utilising Vis/NIR spectroscopy combined with electronic nose

Study of golden pompano (Trachinotus ovatus) freshness forecasting method by utilising Vis/NIR spectroscopy combined with electronic nose

Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges

Rapid Measuring Flavor Quality Changes of Frying Rapeseed Oils using a Flash Gas Chromatography Electronic Nose

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