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Foods · 2022 ·Vol. 11 ·期 17 ·2662 · IF 5.561

Effect of Drying Methods on Volatile Compounds of Citrus reticulata Ponkan and Chachi Peels as Characterized by GC-MS and GC-IMS

Xiangying Yu,Xiaochun Chen,Yuting Li,Lin Li

To reflect the volatile differences of dried citrus peel as affected by cultivars and drying methods, the volatile compounds of dried citrus peel of two cultivars (Citrus reticulata“Chachi” andCitrus reticulata“Ponkan”), prepared under three drying methods (sun-drying (SD), hot-air-drying (AD), and freeze-drying (FD)), were analyzed by GC-MS, odor activity values (OAVs), and GC-IMS. GC-MS data indicated that SD was favorable to preserve terpenic alcohols (linalool, α-terpineol and terpinene-4-ol), β-cymene, methyl methanthranilate, and monoterpenes; while AD was favorable to preserve aliphatic aldehydes and sesquiterpenes; and SD was more similar with AD in GC-MS analysis of volatile profile (of higher MW) for both cultivars from the PCA outcome. Furthermore, significant difference in volatile isomeric composition of different samples was also clearly demonstrated through extracted ion chromatogram (EIC) by GC-MS analysis. GC-IMS analysis showed the favorability of FD to preserve ketones, phenols, esters, and aromatic aldehydes; and SD was more similar with FD in GC-IMS analysis of volatile profile (of smaller MW) for both cultivars from the PCA outcome. Moreover, the OAVs indicate that 2-methoxy-4-vinylphenol contributed much to the flavor of dried Ponkan peel, while 2-methoxy-4-vinylphenol, methyl methanthranilate, and methyl anthranilate played an important role in the flavor of dried Chachi peel; and the highest OAVs for monoterpenes were observed at SD for both cultivars. Thus, the combination of GC-MS and GC-IMS analyses with PCA in this paper suggested the superiority of SD to preserve volatiles and characteristic aroma in dried citrus peel, and that SD contributed much to the quality of dried Chachi peel.Keywords:citrus peel;volatile compounds;sun-drying (SD);hot-air-drying (AD);freeze-drying (FD);GC-MS;GC-IMS

研究领域: 食品科学 · 分析化学
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Foods · 2025 ·Vol. 14 ·期 9 ·1535 · IF 5.1

Volatile Compounds and Fatty Acids of Mutton Carrot Filling During Dynamic Steaming Investigated Based on GC-MS and GC-IMS Analyses

Kaiyan You,Qianyu Li,Ya Wang,Xuehui Cao

To investigate the impact of varying steaming durations on the flavor characteristics of mutton and carrot stuffing, dynamic changes in volatile organic compounds (VOCs) and fatty acids were analyzed using solid-phase micro-extraction gas chromatography–mass spectrometry (SPME-GC-MS) and gas chromatography–ion mobility spectrometry (GC-IMS). The results revealed a total of 116 VOCs identified throughout the steaming process, with 73 detected by GC-MS and 44 by GC-IMS. Notably, VOC concentrations were significantly higher at 18–24 min compared to 8–16 min. Additionally, a GC-IMS fingerprint was developed to assess the distribution of VOCs during steaming. Orthogonal partial least squares discriminant analysis (OPLS-DA) indicated that 11 compounds, such as ethyl caprylate (B3), linalyl acetate (B6), and 1-nonanal (C1), significantly influenced the flavor characteristics of the mutton and carrot filling. Further analysis demonstrated that stearic acid content reached its lowest point at 20–22 min of steaming, while n-6 and n-3 series polyunsaturated fatty acids (PUFAs) and the ratio of polyunsaturated fatty acids to saturated fatty acids (P/S) peaked at this time.

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

GC × GC-ToF-MS combined with multivariate statistical methods to explore the effects of L. paracasei fermentation on bread flavor characteristics

Yuxia Yang,Jinxi Cui,Zhongli Jiang,Xiuhong Zhao

GC × GC-ToF-MS is increasingly used to analyze complex food flavors due to its high resolution and sensitivity, but few studies have used the method to identify aroma components of bread. For the first time, this study combines GC × GC-ToF-MS and multivariate statistical methods to explore the effects of L. paracasei fermentation on bread flavor characteristics. A total of 1534 volatile organic compounds were identified, of which 447 were obtained by metabolome normalization. Based on the variable importance for the projection and p values, 82 different compounds were screened in L. paracasei bread compared with yeast bread, and the total relative content was 1.52 times higher than that of yeast bread. 2-Furancarboxaldehyde, 5-methyl-, pentanoic acid, 2-hydroxy-4-methyl-, ethyl ester, pyrazine, 2,5-dimethyl- and γ-terpinene are aroma-presenting substances specific to L. paracasei bread that could be potential identification compounds. This study provides a new techno-theoretical approach for the characterization and discrimination of LAB bread flavors.

CAS / MDL: 64-17-5
研究领域: 食品科学 · 微生物学
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Foods · 2025 ·Vol. 14 ·期 6 ·935 · IF 5.1

Comprehensive Characterization of Aroma Profile of “Glutinous Rice” Flavor in Pandanus amaryllifolius Roxb. Using HS–SPME–GC–O–MS and HS-GC-IMS Technology Coupled with OAV

Kun Tang,Cong Chen,Yutong Liu,Suxuan Li,Yiye Luo,Xiaoyu Chen,Zhiyong Wu

Pandan leaves have a prominent glutinous-rice aroma; however, few studies have explored their volatile aroma compound composition. Herein, the differences in the volatile aroma components of fresh and dried pandan leaves were investigated for the first time using HS–SPME–GC–O–MS combined with principal component analysis, orthogonal partial least squares discriminant analysis, and HS-GC-IMS with aroma fingerprinting. A total of 93 volatile compounds were identified, exceeding previous reports, including 43 main flavor components with odor activity values (OAV) > 1. OAV and aroma extract dilution analysis tests reveal 13 main aroma volatiles including 2-acetyl-1-pyrroline, hexanal, nonanal, phenylacetaldehyde, β-cyclocitral, butanal, ethyl caprylate, ethyl nonanoate, ethyl caprate, ethyl laurate, 3-hydroxy-2-butanone, acetophenone, and α-ionone. Sixteen types of aromas were classified, and the results are presented as flavor wheels. The findings of this study elucidate the changes and retention of aroma volatiles in differently processed leaves, which could benefit food industry applications.

研究领域: 食品科学 · 植物学
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MOLECULES · 2024 ·Vol. 29 ·期 3 ·567 · IF 4.2

Profiling of Volatile Compounds in ‘Muscat Hamburg’ Contaminated with Aspergillus carbonarius before OTA Biosynthesis Based on HS-SPME-GC-MS and DLLME-GC-MS

Yayun Guo,Zhe Wang,Yi He,Huanhuan Gao,Hongmei Shi

Aspergillus carbonariusis known to produce the carcinogenic ochratoxin A (OTA) in grapes. The metabolism process before OTA biosynthesis influences the content and composition of the volatile compounds in grapes. In this study, a self-established method based on QuEChERS coupled with high-performance liquid chromatography–fluorescence detection (HPLC-FLD) was used to determine the OTA levels during a seven-day contamination period. The results showed that OTA was detected on the second day after contamination withA. carbonarius. Thus, the first day was considered as the critical sampling timepoint for analyzing the volatiles in grapes before OTA biosynthesis. Additionally, the volatile compounds in grapes were analyzed using headspace solid-phase microextraction gas chromatography–mass spectrometry (HS-SPME-GC-MS) and dispersive liquid–liquid microextraction gas chromatography–mass spectrometry (DLLME-GC-MS). The corresponding data were evaluated via multivariate data analysis using projection methods, including PCA and OPLS-DA. The results indicated significant differences in the nine volatile compounds in grapes contaminated withA. carbonariusbefore OTA biosynthesis. The results of the Pearson correlation analysis showed positive correlations between ethyl acetate, styrene, 1-hexanol and OTA; (E)-2-hexenal and nerolic acid were negatively correlated with OTA. Overall, these findings provide a theoretical basis for the early prediction of OTA formation in grape and grape products using GC-MS technology.Keywords:volatile compounds;Ochratoxin A;QuEChERS-HPLC-FLD;HS-SPME-GC-MS;DLLME-GC-MS;OPLS-DA

CAS / MDL: 7782-42-5
研究领域: 食品科学 · 真菌学 · 分析化学
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FOOD CHEMISTRY · 2021 · IF 7.514

Discrimination and characterization of the volatile organic compounds in eight kinds of huajiao with geographical indication of China using electronic nose, HS-GC-IMS and HS-SPME-GC–MS

Xiya Feng,Hongwei Wang,Zhirong Wang,Pimiao Huang,Jianquan Kan

Huajiao ( Zanthoxylum bungeanum maxim. and Zanthoxylum armatum DC.) is a highly prized spice in China due to its distinctive aroma and taste. The volatile organic compounds (VOCs) of eight kinds of red and green huajiao which varied according to geographical indication of P.R. China were evaluated by electronic nose (E-nose), headspace solid-phase microextraction–gas chromatography-mass spectrometry (HS-SPME-GC–MS) and headspace-gas chromatography–ion mobility spectrometry (HS-GC-IMS). Results showed that red huajiao emitted more terpenes, esters, and fewer alcohols than green huajiao. Partial least squares-discriminant analysis based on GC–MS and GC-IMS data was revealed a good classifying tool for huajiao from different original habitats. Four and eight aroma substances were selected as the potential markers by the variable importance in projection (VIP) variable selection method, respectively. The results of the current study provide a useful basis in the huajiao aroma difference study. Additionally, a rapid huajiao aroma analysis method using GC-IMS was developed.

研究领域: 食品科学 · 植物化学
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JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS · 2025 · IF 3.1

Impact of ginger juice processing on volatile compounds and sensory characteristics of Eucommiae Cortex: A GC×GC-TOF-MS, E-nose, and machine learning analysis

Yijing Pan,Yi Xiao,Meiliang Zhu,Dongmei Guo,Kehong Ming,Shunshun Wang,Xianqiong Liu,Chunli Wang,Kang Xu

Ginger-processed Eucommiae Cortex (G-EC) is a traditional herbal preparation with a long history of clinical application. However, the lack of quantitative standards, undefined chemical transformation pathways, and unidentified quality markers (Q-markers) have hindered its modernization. In this study, we developed an integrated analytical strategy combining comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC×GC-TOF-MS), multivariate statistical analysis, and electronic nose (E-nose) technology to systematically investigate the volatile compound profile and sensory characteristics of Eucommiae Cortex (EC) before and after ginger processing. A total of 2806 volatile compounds were identified in G-EC, including 173 newly generated and 64 eliminated compared to EC. Sixty-five key flavor compounds were characterized, with enhanced woody, herbal, fresh, and minty notes in G-EC. E-nose analysis revealed distinct volatile signatures between EC and G-EC, with alkanes, alcohols, and sulfur-containing compounds as major differentiators. Furthermore, machine learning models combined with SHapley Additive exPlanations (SHAP) enabled accurate classification and interpretation of key chemical features. In conclusion, this study provides novel insights into the chemical transformation induced by ginger processing and offers a theoretical basis for the standardization and modernization of traditional Chinese medicine processing techniques.

CAS / MDL: 64-17-5
研究领域: 中药学 · 分析化学 · 食品科学 · 人工智能
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Foods · 2025 ·Vol. 14 ·期 10 ·1714 · IF 5.1

Machine-Learning-Assisted Aroma Profile Prediction in Five Different Quality Grades of Nongxiangxing Baijiu Fermented During Summer Using Sensory Evaluation Combined with GC×GC–TOF-MS

Dongliang Shao,Wei Cheng,Chao Jiang,Tianquan Pan,Na Li,Mengmeng Li,Ruilong Li,Wei Lan,Xianfeng Du

Flavor is one of the crucial factors that influences the quality and consumer acceptance of baijiu. In this study, we analyzed the volatile organic compound (VOC) profiles of five different quality grades of Nongxiangxing baijiu (NXB), fermented during the summer of 2024, using 2D gas chromatography time-of-flight mass spectrometry (GC×GC–TOF-MS). We employed machine-learning (ML)-based classification and prediction models to evaluate the flavor. For TW, the scores of the sensory evaluation for coordination and overall evaluation were the highest. TW contained the highest concentration of ethyl caproate; we detected 965 VOCs in total, including several pyrazine compounds with potential health benefits. Principal component analysis (PCA) combined with orthogonal partial least squares discriminant analysis (OPLS-DA) enabled us to distinguish different samples, with eight VOCs emerging as primary contributors to the aroma of the samples, possessing variable importance in projection (VIP) values > 1. Furthermore, we tested eight ML models; random forest (RF) demonstrated the best classification performance, effectively discriminating samples based on their VOC profiles. The key VOC contributors that showed quality-grade specificity included 1-butanol, 3-methyl-1-butanol, and ethyl 5-methylhexanoate. The results elucidate the flavor-based features of NXB and provide a valuable reference for discriminating and predicting baijiu flavors.

CAS / MDL: 64-17-5
研究领域: 食品科学 · 分析化学 · 人工智能
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JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS · 2024 · IF 3.1

A GC×GC-MS method based on solid-state modulator for non-targeted metabolomics: Comparison with traditional GC-MS method

Yueyi Zhang,Haihui Ren,Xiao Tang,Qiaorong Liu,Wen Xiao,Zunjian Zhang,Yuan Tian

The formidable challenge posed by the presence of extremely high amounts of compounds and large differences in concentrations in plasma significantly complicates non-targeted metabolomics analyses. In this study, a comprehensive two-dimensional gas chromatography-quadrupole mass spectrometry (GC×GC-qMS) method with a solid-state modulator (SSM) for non-targeted metabolomics in beagle plasma was first established based on a GC-MS method, and the qualitative and quantitative performance of the two platforms were compared. Identification of detected compounds was accomplished utilizing NIST database match scores, retention indices (RIs) and standards. Semi-quantification involved the calculation of peak area ratios to internal standards. Metabolite identification sheets were generated for plasma samples on both analytical platforms, featuring 22 representative metabolites chosen for validating qualitative accuracy, and for conducting comparisons of linearity, accuracy, precision, and sensitivity. The outcomes revealed a threefold increase in the number of identifiable metabolites on the GC×GC-MS platform, with lower limits of quantitation (LLOQs) reduced to 0.5–0.05 times those achieved on the GC-MS platform. Accuracy in quantification for both GC×GC-MS and GC-MS fell within the range of 85–115%, and the vast majority of intra- and inter-day precisions were within the range of 20%. These findings underscore that relative to the conventional GC-MS method, the GC×GC-MS method developed in this study, combined with SSM, exhibits enhanced qualitative capabilities, heightened sensitivity, and comparable accuracy and precision, rendering it more suitable for non-targeted metabolomics analyses.

CAS / MDL: 75-77-4
研究领域: 分析化学 · 代谢组学 · 药学
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LWT-FOOD SCIENCE AND TECHNOLOGY · 2024 · IF 6

Characterization of the volatile flavour compounds in Yunnan Arabica coffee prepared by different primary processing methods using HS-SPME/GC-MS and HS-GC-IMS

Huinan Zhai,Wenjiang Dong,Yumei Tang,Rongsuo Hu,Xinxin Yu,Xiaoai Chen

In this study, coffee samples from seven primary processing methods—traditional dry processing (CG), dry processing I (GA), dry processing II (GB), traditional wet processing (CS), honey processing I (MA), honey processing II (MB), and honey processing III (MC)—underwent comprehensive investigation using HS-SPME/GC-MS and HS-GC-IMS. A total of 81 and 96 VOCs were identified by GC-MS and GC-IMS, respectively. The differences in VOCs among various primary processing samples were observed. The results demonstrated increased volatilization of coffee flavor substances due to anaerobic fermentation. CG, GA, and GB samples exhibited high levels of fruity, floral, and sweet aromas. Conversely, honey processing methods (MA, MB, and MC) enhanced the caramel, roasted aroma, and buttery flavor of coffee samples. PCA and PLS-DA successfully categorized coffee beans based on their aroma properties. These findings indicated that honey processing, combined with drying, significantly influenced coffee bean VOCs, enhancing caramel, roasted aroma, and buttery flavor—crucial for the characteristic volatile metabolites of Yunnan arabica coffee beans.

CAS / MDL: 106-35-4 67-56-1
研究领域: 食品科学 · 分析化学
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Food Analytical Methods · 2018 ·Vol. 12 ·期 2 ·544-557 · IF 2.245

Comparison of Aroma Profiles of Traditional and Modern Zhenjiang Aromatic Vinegars and Their Changes During the Vinegar Aging by SPME-GC-MS and GC-O

Al-Dalali Sam,Zheng Fuping,Sun Baoguo,Chen Feng

Zhenjiang aromatic vinegar is one of the most popular vinegars in China, which can be produced by either traditional or modern techniques. Aroma profiles of the traditional Zhenjiang aromatic vinegar (TZAV) and the modern Zhenjiang aromatic vinegar (MZAV) at different stages of their aging were analyzed by headspace solid-phase microextraction (HS-SPME) with an aid of DVB/CAR/PDMS fiber combined with gas chromatography-mass spectrometry (GC-MS) and gas chromatography-olfactometry (GC-O). A total of 53 volatile compounds were identified. Among them, 43 aromas were positively identified after comparison with their corresponding authentic compounds. Two volatiles, including isopentyl alcohol and butyl benzoate, were only identified in TZAV, while propiophenone was only identified in MZAV. In addition, some volatiles were found to be generated during the aging period, which included isopentyl alcohol, 3-(methylthio)propyl acetate, and 2-acetoxy-3-butanone in the TZAV samples, and 2-ethyl-1-hexanol, octanoic acid, propiophenone, and dimethyl trisulfide in the MZAV samples. The total amount of volatile compounds in the MZAV was greater than its counterpart TZAV. Moreover, 29 odor-active compounds were recognized by GC-O analysis, while 25 of them were confirmed by their authentic compounds, and their perceived odors included sweet, acid, buttery, floral, herbal, fruit, fresh, pungent, almond, and geraniol notes.

研究领域: 食品科学 · 分析化学 · 农学
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Food Bioscience · 2025 · IF 5.9

Elucidation of the key aroma compounds of floral and fruity aroma in sauce-flavored Baijiu by pervaporative membrane separation, GC-IMS, GC-MS, and Aroma Omission Studies

Zhen Mou,Xuemei Cai,Jingyun Liu,Ruijie Deng,Zhaonan Liu,Ruiyu Fan,Jian Tang,Aimin Luo

Floral and fruity aromas are vital indicators for evaluating the quality of the sauce-flavored Baijiu, however, are hard to analyze and elucidate due to the interference of other aromas in the liquor. Herein, we developed a pervaporation membrane separation technology (PV), that effectively reduces the complexity of analyzing floral and fruity aromas and enables the identification of key flavor compounds of the floral and fruity aromas in sauce-flavored Baijiu. Contributed to the separation via PV on flavor, liquor samples differing in floral and fruity aromas are efficiently separated that allows to be sensitively analyzed by gas chromatography-ion mobility spectrometry (GC-IMS) and gas chromatography-mass spectrometry (GC-MS). We found that a total of 29 compounds that potentially contributed to floral and fruity aroma. Aroma recombination and omission/addition experiments were conducted to verify the contribution of these compounds to the overall aroma, leading to the identification of 15 key aroma compounds including affecting floral and fruity aromas. And discovered esters serving as key components for contributing floral and fruity aromas. Meanwhile, Acetals can make the aromas become more coordinated and aldehydes facilitate floral and fruity aroma release. The work contributes to a tool for elucidating complexity of flavor compounds in Baijiu.

CAS / MDL: 71-43-2 589-62-8
研究领域: 食品科学 · 分析化学
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