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JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY · 2022 · IF 5.895

Accurate Determination of 12 Lactones and 11 Volatile Phenols in Nongrape Wines through Headspace-Solid-Phase Microextraction (HS-SPME) Combined with High-Resolution Gas Chromatography-Orbitrap Mass Spectrometry (GC-Orbitrap-MS)

Yaran Liu,Xu Qian,Jiangtao Xing,Na Li,Junlong Li,Qingyu Su,Yixin Chen,Bolin Zhang,Baoqing Zhu

This paper clarifies the contribution of lactones and volatile phenols to the aroma of nongrape wine. A target method for the simultaneous determination of these two kinds of volatiles in nongrape wines was developed using headspace-solid-phase microextraction (HS-SPME) combined with high-resolution gas chromatography-Orbitrap mass spectrometry (GC-Orbitrap-MS). A high-resolution mass spectrometry database including 12 lactones and 11 volatile phenols was established for qualitative accuracy. Different matrix-matched calibration standards should be prepared for specific samples due to the matrix effects. The method was successfully validated and applied in three nongrape wines. Hawthorn wine contained more lactones (δ/γ-hexalactone, δ/γ-nonalactone, δ/γ-decalactone, γ-undecalactone, δ/γ-dodecalactone, C10 massoia lactone, and whiskey lactone), while blueberry wine contained more volatile phenols (especially 4-vinylguaiacol and 4-ethylguiaiacol). Goji berry wines contained certain concentrations of δ-nonalactone, γ-nonalactone, δ-hexalactone, and 3-ethyl phenol. This study demonstrated that HS-SPME-GC-Orbitrap-MS can be applied for the accurate quantification of trace aroma compounds such as lactones and volatile phenols in fruit wines.

研究领域: 食品科学 · 分析化学 · 农学
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JOURNAL OF FOOD QUALITY · 2024 · IF 2.6

Characterization of the Universal Flavor in Chinese Butter Hotpot by Multiple Mass Spectrometry Detection Technology

Menglu Yang,Yuan Mei,Haimei Lai,Yali Wang,Yuli Huang,Xueqing Zeng,Lihong Ge,Nan Zhao

Hotpot provides a multilevel unique flavor experience and is preferred by consumers who value various taste preferences. In the present study, results showed that alcohols, phenols, hydrocarbons, and others were the commonly predominant volatiles in all butter hotpot samples (74.43%∼92.92%). However, there were merely 25 codetected compounds determined among a total of 318 aroma compounds because of the discrepant ingredients and processing technique of hotpot samples, which were sampled from several representative manufacturers. Therefore, for the first time, multiple GC-Q-TOF/MS and GC-Orbitrap-MS methods were performed to explore the more 44 potential aroma compounds of butter hotpot, in which alpha-terpinyl, acetate, nonanal, piperitone, and (E)-lignstilde could further cause the differences in flavor intensity of spices aroma, smell of grease, and roasted, charred, and nutty (). Linalool and nerol were the critical flavor precursors associated with ingredients and processing technic. Therefore, these results provide guidance for improving the butter hotpot formula and process technique.

CAS / MDL: 67-56-1
研究领域: 食品科学 · 分析化学
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Foods · 2022 ·Vol. 11 ·期 24 ·3997 · IF 5.561

Untargeted Profiling and Differentiation of Volatiles in Varieties of Meat Using GC Orbitrap MS

Youyou Yang,Jing Li,Jiangtao Xing,Weihai Xing,Chaohua Tang,Zhenghua Rao,Junmin Zhang

Volatile compounds play vital roles in food sensory attributes and food quality. An analysis of volatile compounds could illustrate the sensory attributes at the microscale level. Here, untargeted profiling approaches for volatiles in five most-consumed meat species were established using headspace SPME-GC/high resolution Orbitrap MS. An extended high-resolution database of meat volatile compounds was established to enhance the qualification accuracy. Using sulfur-containing compounds, aldehydes, and ketones as the research model, the parameters including fiber coating types, extraction temperature, extraction time, and desorbing time were optimized. Principle component analysis, volcano analysis and partial least squares discriminant analysis were applied to run the classification and the selection of discriminant markers between meat varieties, respectively. Different varieties could be largely distinguished according to the volatiles’ profiles. 1-Octen-3-ol, 1-octen-3-one, 2-pentyl furan and some other furans degraded from n-6 fatty acids would contribute to distinguishing duck meat from other categories, while methyl esters mainly from oleic acid as well as dimethyl sulfoxide and carbon disulfide possibly produced from the sulfur-containing amino acids contributed to the discrimination of beef. Therefore, volatiles’ profiling not only could interpret the aroma style in meat but also could be another promising method for meat differentiation and authentication.Keywords:differentiation;GC-HRMS;SPME;statistical analysis;untargeted profiling;volatiles

研究领域: 食品科学 · 分析化学
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FOOD CHEMISTRY · 2023 · IF 8.8

Unravelling dynamic changes in non-volatile and volatile metabolites of pulses during soaking: An integrated metabolomics approach

Lei He,Qian Hu,Liyang Wei,Xuliyang Ge,Ning Yu,Ying Chen

An integrated metabolomics approach based on UPLC-QTOF-MS and HS-SPME-GC-orbitrap-MS was performed to investigate the dynamic changes of metabolite profiling in chickpeas, red speckled kidney beans, and mung beans during soaking. There were 23, 23, 16 non-volatile metabolites, and 18, 21, 22 volatile metabolites were identified as differential metabolites in chickpeas, red speckled kidney beans, and mung beans during soaking, respectively. These metabolites mainly included flavonoids, lysophosphatidylcholines (LPCs), lysophosphatidylethanolamines (LPEs), fatty acids, alcohols, aldehydes, and esters. The key time points responsible for the significant changes in metabolites and quality of the three pulses were 4, 8, and 24 h of soaking. Results revealed that the variations of some metabolites could attribute to oxidation and hydrolysis reactions. These results contribute to a better understanding of how soaking affects pulses quality, and provide useful information for determining soaking time according to nutritional and sensory requirements of their final products or dishes.

研究领域: 食品科学 · 代谢组学 · 植物学
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JOURNAL OF FOOD COMPOSITION AND ANALYSIS · 2024 · IF 4

Profiling the aroma compounds of sunflower seed oils subjected to different roasting conditions based on GC–Orbitrap-MS and sensory molecular network

Xiaomin Chang,Xiaolong Li,Huimin Zhao,Wenchao Qian,Jiani Liu,Yu Zhang,Baoqing Zhu,Xiangyu Wang

The changes in the composition of aroma compounds and sensory characteristics of 19 sunflower seed oils (SSOs) during different seed roasting processes (roasting temperatures (110–190 °C) and roasting times (20/30 min) and their relationship were investigated. Using high-resolution gas chromatography–Orbitrap mass spectrometry, 106 volatile compounds were identified and categorized into four groups, each reflecting the roasting degree. The SSO samples were characterized as “raw sunflower seed”, “sweet”, “fried instant noodles”, “roasted sunflower seed”, and “burnt” attributes through quantitative descriptive analysis. The complex relationships between sensory qualities and volatile components were revealed by partial least squares regression and sensory molecular network analyses. Because excess “burnt” affected the aroma, the important aroma compounds for “burnt” were quantified. Based on the odor activity values and two-alternative forced choice experiments, ( E )-2-octenal, 2-methylpropanal, ( E,E )-2,4-decanedienal, acetoin, 2,5-dimethylpyrazine, and 2,3,5-trimethylpyrazine were considered as the key material basis of “burnt” attribute. This study validates that regulating the roasting process can improve the sensory quality of SSOs.

研究领域: 食品科学 · 分析化学
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