scholarly journals Gas Chromatography-Ion Mobility Spectrometry Detection of Odor Fingerprint as Markers of Rapeseed Oil Refined Grade

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Tong Chen ◽  
Xingpu Qi ◽  
Mingjie Chen ◽  
Bin Chen

In this work, gas chromatography-ion mobility spectrometry (GC-IMS) was used to analyze the volatile organic compound changes of rapeseed oil with different refined grades, the odor fingerprints of refined rapeseed oil were constructed, and a nonlinear model was built to realize rapid and accurate discrimination of rapeseed oil with different refined grades. 124 rapeseed oil samples with different refined grades were collected and analyzed by GC-IMS and chemometric tools, and 34 characteristic peaks were selected by the colorized difference method as variables to characterize the internal quality in rapeseed oil of different refined grades. The principal component analysis algorithm was used to further reduce dimensionality and extract the most relevant information. The k-nearest neighbor algorithm was applied to build a discriminant model. All the samples were recognized accurately without errors, and the results show the potential of this method to discriminate different refined grades of vegetable oil.

Author(s):  
Tong Chen ◽  
Chunyou Liu ◽  
Bin Chen ◽  
Yongchun Huang

AbstractIn this work, Gas chromatograph-Mass Spectrometry (GC-MS) combined with solid phase micro-extraction technology was used to analyze the difference of volatile organic compounds (VOCs) in rapeseed oil of different grades, and the relationship between changes of VOCs and refining process were also investigated in order to construct a non-linear model, which could realize rapid and accurate discrimination of different grade rapeseed oils. 124 rapeseed oil samples with different grades were collected and analyzed by GC-MS technology and 55 VOCs were identified and selected as variables to characterize the internal quality information of rapeseed oils. Then, principal component analysis (PCA) method was used to extract useful features and reduce data dimensionality, and finally a discriminant model was built using linear discriminant analysis (LDA) algorithm. The correct recognition rate of sample set was close to 94.59%. The results showed that the proposed method is promising in discriminating different grades of vegetable oils. Besides, it provides a theoretical basis for studying the relationship between VOCs composition and vegetable oil quality.


Molecules ◽  
2019 ◽  
Vol 24 (17) ◽  
pp. 3053 ◽  
Author(s):  
Xiao Hu ◽  
Rongrong Wang ◽  
Jiajing Guo ◽  
Keda Ge ◽  
Gaoyang Li ◽  
...  

The effects of two different processing methods on the volatile components of candied kumquats were investigated via headspace–gas chromatography–ion mobility spectrometry (HS–GC–IMS). The characteristic volatile fingerprints of fresh kumquats (FKs), vacuum sugaring osmosis combined with hot-air drying kumquats (VS-ADKs), and atmospheric pressure sugaring osmosis combined with hot-air drying kumquats (AS-ADKs) were established using 3D topographic plots. From the fingerprints, 40 signal peaks for 22 compounds were confirmed and quantified in all types of kumquats, namely, two terpenes, four esters, seven aldehydes, three ketones, and six alcohols. 3-Pentanone was identified as the major component of FKs; followed by 1-hexanol and the Z-3-hexen-1-ol dimer. The hexanal dimer, 2-hexen-1-ol, and the ethyl acetate dimer were the major markers of VS-ADKs. Benzaldehyde and furfurol were the prominent constituent parts of AS-ADKs. Compared with that in FKs, the pentanal and dimethyl ketone contents of VS-ADKs and AS-ADKs exhibited a dramatic increase (p < 0.05). By contrast, the change in ethanol dimer tended to decrease (p < 0.05). Principal component analysis (PCA) clearly showed that the samples, which were distributed in a separate space could be well-distinguished. Furthermore, the similarity of different processed kumquats and their corresponding volatile components was demonstrated via heat map clustering analysis. The results confirmed the potential of HS–GC–IMS-based approaches to evaluate processed kumquats with various volatile profiles.


2019 ◽  
Vol 12 (10) ◽  
pp. 2282-2292 ◽  
Author(s):  
Lili Tian ◽  
Yuanyuan Zeng ◽  
Xiuqian Zheng ◽  
Yahuang Chiu ◽  
Tristan Liu

Foods ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 2917
Author(s):  
Tengfei Zhao ◽  
Soottawat Benjakul ◽  
Chiara Sanmartin ◽  
Xiaoguo Ying ◽  
Lukai Ma ◽  
...  

The large yellow croaker is one of the most economically important fish in Zhoushan, Zhejiang Province, and is well known for its high protein and fat contents, fresh and tender meat, and soft taste. However, the mechanisms involved in its flavor changes during storage have yet to be revealed, although lipid oxidation has been considered to be one important process in determining such changes. Thus, to explore the changes in the flavor of large yellow croaker fish meat during different storage periods, the main physical and chemical characteristics of the fish meat, including the acid value, peroxide value, p-anisidine value, conjugated diene value, and identities of the various flavor substances, were investigated and analyzed by multivariable methods, including headspace gas chromatography–ion mobility spectrometry (GC-IMS) and principal component analysis (PCA). It was found that after 60 d storage, the types and contents of the aldehyde and ketone aroma components increased significantly, while after 120 d, the contents of ketones (2-butanone), alcohols (1-propanethiol), and aldehydes (n-nonanal) decreased significantly. More specifically, aldehyde components dominated over ketones and lipids, while the n-nonanal content showed a downward trend during storage, and the 3-methylbutanol (trimer), 3-methylbutanol (dimer, D), 3-pentanone (D), and 3-pentanone (monomer) contents increased, whereas these compounds were identified as the key components affecting the fish meat flavor. Furthermore, after 120 d storage, the number of different flavor components reached its highest value, thereby confirming that the storage time influences the flavor of large yellow croaker fish. In this context, it should be noted that many of these compounds form through the Maillard reaction to accelerate the deterioration of fish meat. It was also found that after storage for 120 d, the physical indices of large yellow croaker meat showed significant changes, and its physicochemical properties varied. These results therefore demonstrate that a combination of GC-IMS and PCA can be used to identify the differences in flavor components present in fish meat during storage. Our study provides useful knowledge for understanding the different flavors associated with fish meat products during and following storage.


2021 ◽  
Vol 19 (1) ◽  
pp. 442-450
Author(s):  
Guangjiong Qin ◽  
Guojie Zhao ◽  
Canbin Ouyang ◽  
Jialei Liu

Abstract Gas chromatography-ion mobility spectrum (GC-IMS) is used to analyze and compare the differences in aroma among different tobacco samples. The aroma substances in tobacco samples in Jilin Changchun are the richest, while those in Guangdong Nanxiong are the lowest. The concentrations of aroma substances such as decanal, 1-hydroxy-2-propanone, and 2-methylbutanol were the highest in Guangdong Nanxiong of the three. The concentration of 1-hexanol, cyclohexanone, pentanoic acid, and other aroma substances in Fujian Nanping was high. The concentration of 2-acetylfuran, 2-octanol, isopentanol, 3-methylvaleric acid, phenylacetic acid, and other aroma substances in Changchun area of Jilin Province was low. Through principal component analysis and similarity research, both tobaccos can be distinguished by their production areas and grades from the same.


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