Foods
·
2025
·Vol. 14
·期 6
·935
·
IF 5.1
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
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植物学
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DOI
PubMed
高影响因子
Foods
·
2024
·Vol. 13
·期 24
·3984
·
IF 4.7
Zhenbao Shi,Wenzhe Li,Ziqiang Chen,Zhengcong Peng,Mingtao Ma,Jinglong Zhang,Dianhui Wu,Guangfa Xie,Jian Lu
Greengage alcoholic beverage (GAB) is gaining popularity for its distinctive fruity aroma and nutritional benefits. TheSaccharomyces cerevisiaestrain applied for fermentation significantly influences the metabolic production of aroma compounds, making the selection ofS. cerevisiaestrains to be critical for enhancing the unique flavor profile of the GAB in commercial production. In this study, the effects of two common commercialS. cerevisiaestrains (SY, EC-1118) and two laboratory-derived strains (ET008-c54, NM-8) on the flavor profile of the GAB were investigated. Volatile organic compounds (VOCs) of the GAB samples were analyzed using GC-E-Nose, HS-SPME-GC-MS, and HS-GC-IMS. Results showed significant differences in the flavor compound content of the GAB fermented by different strains. Nine VOCs were identified as potential markers by partial least squares–discriminant analysis (PLS-DA) combined with variable importance in projection (VIP), with ethyl esters playing a key role in distinguishing the aroma characteristics of different groups. Consequently, 13 aromatic compounds were selected and considered to be the typical VOCs of the GAB. Notably, β-ionone and ethyl octanoate emerged as representative aroma compounds, both showing the highest concentrations in the SY sample. These findings will provide valuable insights into the aroma differences of the GAB fermented by different strains and offer theoretical guidance for selecting suitable strains in the industrial production of the GAB.
研究领域:
食品科学
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微生物学
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DOI
PubMed
高影响因子
LWT-FOOD SCIENCE AND TECHNOLOGY
·
2024
·
IF 6
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.
研究领域:
食品科学
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分析化学
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DOI
高影响因子
FOOD CHEMISTRY
·
2021
·
IF 7.514
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
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植物化学
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产品关联
DOI
PubMed
高影响因子
FLAVOUR AND FRAGRANCE JOURNAL
·
2023
·Vol. 38
·期 3
·204-216
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IF 2.6
Kaixiong Peng,Qunyong Tang,Yuhan Zheng,Fang Ji,Xiaoming Chen
In this study, headspace solid-phase microextraction (HS-SPME) combined with gas chromatography-time-of-flight mass spectrometry (GC-TOFMS) was used to detect and analyse the volatile components of five samples with different degrees of fragmentation, combined with cluster analysis, orthogonal partial least squares discrimination analysis (OPLS-DA) and relative odour activity value (ROAV) analysis. The results showed that 70 volatile components were detected and identified in samples with different degrees of fragmentation. 40 were co-containing components. Cluster analysis revealed a high degree of similarity between samples B (20 mesh sieve top) and C (40 mesh sieve top), which were grouped into one category. The order of variation in the relative content of volatile components was A (unbroken) > E (120 mesh sieve top) > D (80 mesh sieve top) > B. C; the OPLS-DA analysis revealed significant differences in the volatile composition of rice samples with different degrees of fragmentation, This variation between samples is mainly due to the relative content of volatile components of 36 projections of variable importance (VIP > 1), such as ethyl butyrate, ethyl phenylacetate, and dimethyl trisulfide. A total of 12 volatile components with ROAV > 1, including ethyl hexanoate, 2-acetyl-1-pyrroline, and E -2-nonenal, were found to be the key volatile components in five samples based on their ROAV, the different degrees of crushing had a greater impact on the overall aroma of the rice, and the results can be used as a reference for further rice processors.
研究领域:
食品科学
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分析化学
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DOI
高影响因子
Journal of Food Measurement and Characterization
·
2024
·
IF 2.9
Chen Huajiang,Luo Yanran,Xing Guiqing,Shi Yongqing,Gu Shuang,Wang Xiangyang
Aspergillus spp. are common dominant fungi in the moldy agricultural products. Different Aspergillus species exhibit high morphological and genetic sequence similarity, making identification challenging. The measurement of mycelial growth in these Aspergillus species often requires a relatively long time. Therefore, there is a need to develop a new rapid method for identifying Aspergillus species and monitoring their growth. The volatile compounds released by five Aspergillus species on culture media were detected by gas chromatography-mass spectrometer (GC–MS), electronic nose and headspace-gas chromatography-ion migration spectrometry (HS-GC-IMS), their characteristic volatile signals were captured, the models for identifying Aspergillus species were established, and prediction models for mycelial growth of five Aspergillus species were developed. The results showed that the LDA classification training set model constructed using the fusion of GC-IMS and electronic nose data achieved a 100% accuracy rate for identifying Aspergillus species in the training set and an 83.3% accuracy rate in the test set, significantly outperforming models based on HS-GC-IMS or electronic nose data alone. When the result combined with morphological analysis, a 100% accuracy rate in identifying Aspergillus species could be achieved. The partial least squares regression (PLSR) prediction models for mycelial growth in Aspergillus species, constructed using both fusion electronic nose data and HS-GC-IMS data, demonstrated high accuracy with prediction accuracies greater than 0.972 for all five species. The prediction model based solely on electronic nose data had lower accuracy, while models using HS-GC-IMS data alone or its combined with electronic nose data achieved good results. This fusion approach of HS-GC-IMS and electronic nose might have the potential to serve as a preliminary screening tool for fungi identification.
研究领域:
微生物学
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食品科学
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DOI
高影响因子
JOURNAL OF CHROMATOGRAPHY A
·
2024
·
IF 3.8
Wenhui Lu,Chunli Ding,Mingshuo Zhu
The process of globalization and industrialization has resulted in a rise in the theft of coal and other related products, thereby becoming a focal point for forensic science. This situation has engendered an escalated demand for effective detection and monitoring technologies. The precise identification of coal trace evidence presents a challenge with current methods, owing to its minute quantity, fine texture, and intricate composition. In this study, we integrated machine learning with the identification of volatiles to accurately differentiate coal geographical origins through the application of headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS). The topographic distribution of volatiles in coals was visually depicted to elucidate the subtle distinctions through spectra and fingerprint analysis. Additionally, four supervised machine learning algorithms were developed to quantitatively predict the geographical origins of natural coals utilizing the HS-GC-IMS dataset, and these were subsequently compared with unsupervised models. Remarkable volatile compounds were identified through the quantitative analysis and optimal Random Forest model, which offered a rapid readout and achieved an average accuracy of 100 % in coal identification. Our findings indicate that the integration of HS-GC-IMS and machine learning is anticipated to enhance the efficiency and accuracy of coal geographical traceability, thereby providing a foundation for litigation and trials.
研究领域:
法医学
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分析化学
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数据科学
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PubMed
高影响因子
JOURNAL OF DRUG DELIVERY SCIENCE AND TECHNOLOGY
·
2022
·
IF 5.062
Fei Wang,Xuyang Li,Xialin Hu,Wenya Zhuang,Jiewei Lai,Wenchao Wang,Xuanrong Sun,Hong Wang,Qingyong Li
FLQY2 is a camptothecin derivative modified by FL118 and proved to be good antitumor activity in vitro . However, its poor solubility leads to the low therapeutic efficacy in vivo . Here, the injectable FLQY2 lyophilized powder was prepared with Kolliphor® HS 15 (HS 15), which was called HS 15-FLQY2. The preparation process of HS 15-FLQY2 was optimized by orthogonal design and the lyophilization process was investigated by single factor experiment. Moreover, the formulation was characterized, the pharmacokinetics study and the antitumor activity were carried out in vivo . As the results, HS 15-FLQY2 (1:1500, w/w) containing 5% mannitol as cryoprotectant showed good appearance and 70% entrapment efficiency. HS 15-FLQY2 revealed low particle size (<16 nm), better homogeneity (PDI <0.2) and remained stable for 24 h in water. In addition, the data of the DSC , XRD and FTIR demonstrated that FLQY2 was distributed within micelles . In vivo , the bioavailability of HS 15-FLQY2 (i.p.) was improved significantly compared with oral CD-FLQY2 (a cyclodextrin inclusion complex of FLQY2). In addition, HS 15-FLQY2 demonstrated higher tumor inhibition effect than capecitabine , confirming the possibility of treatment cancer by the delivery of FLQY2.
研究领域:
药剂学
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肿瘤学
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生物化学
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DOI
高影响因子
FOOD RESEARCH INTERNATIONAL
·
2023
·
IF 8.1
Junwen Wan,Qian Liu,Changzhong Ma,Bertrand Muhoza,Yaling Huang,Min Sun,Shiqing Song,Chi-Tang Ho
To understand the overall flavor of the dzo beef, fatty acids, volatile compounds and aroma profiles of dzo beef samples (raw beef (RB), broth (BT) and cooked beef (CB)) were investigated by head-space-gas chromatography-ion mobility spectrometry (HS-GC-IMS) and gas chromatography-mass spectrometry (GC–MS). The fatty acid analysis showed a decrease in the ratio of polyunsaturated fatty acids, such as linoleic acid, which decreased from 2.60 % in RB to 0.51 % in CB. The principal component analysis (PCA) showed that HS-GC-IMS was able to distinguish different samples. A total of 19 characteristic compounds with odor activity value (OAV) > 1 were identified by gas chromatography–olfactometry (GC-O). Fruity, caramellic, fatty and fermented attributes were enhanced after stewing. Butyric acid and 4-methylphenol were responsible for the stronger off-odor in RB. 3-Hydroxy-2-butanone and 2,5-dimethyl-4-hydroxy-3(2 H )-furanone with buttery and caramellic attributes were dominated in BT, while ( E )-2-nonenal, ( E , E )-2,4-decadienal and ( E , E )-2,4-nonadienal prominently conferred fatty attribute on CB. Furthermore, anethole with anisic aroma was first identified in beef, which may be one of the typical chemical markers that distinguish dzo beef from other varieties.
研究领域:
食品科学
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分析化学
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产品关联
DOI
PubMed
高影响因子
LWT-FOOD SCIENCE AND TECHNOLOGY
·
2020
·
IF 4.006
Shuang Gu,Wei Chen,Zhenhe Wang,Jun Wang,Yujia Huo
This study described the rapid detection of milled rice infected with Aspergillus spp. species based on headspace-gas chromatography ion-mobility spectrometry (HS-GC-IMS) and electronic nose (E-nose) combined with chemometrics, namely principal component analysis (PCA), k-nearest neighbor (kNN) and partial least squares regression (PLSR). 3D HS-GC-IMS imaging and their response differences enabled the discrimination among fungal species. kNN was used to differentiate rice samples with cdifferent levels of fungal infection and achieved correct classified rate of 94.44% and 91.67% by HS-GC-IMS and E-nose, respectively. PLSR method was used for quantitative regression of fungal colony counts in rice samples and good prediction performances were achieved by HS-GC-IMS (R p 2 = 0.909, RMSEP = 0.202) and E-nose (R p 2 = 0.864, RMSEP = 0.235). The results indicated that both HS-GC-IMS and E-nose approaches can potentially be implemented for the detection of fungal contamination levels in milled rice, and HS-GC-IMS fingerprinting coupled with chemometrics might be used as an alternative tool for a highly sensitive method. This research might provide scientific information on the rapid, non-destructive, and effective fungal detection system for rice grains .
研究领域:
食品科学
·
微生物学
✓ 已验证
DOI
高影响因子
FOOD CONTROL
·
2022
·
IF 6.652
Yening Qiao,Jinfeng Bi,Qinqin Chen,Xinye Wu,Xinwen Jin,Min Gou,Xinrui Yang,Giorgia Purcaro
Baked red jujube is a common food ingredient used to enrich the nutritional value and enhance the aroma. DDMP (2,3-dihydro-3,5-dihydroxy-6-methyl-4H-pyran-4-one) with intense bitterness and potential toxicity may be present in several baked red jujube-based products but there are no well-defined methods to measure it quickly, sensitively, and accurately. Headspace solid-phase microextraction with gas chromatography-tandem mass spectrometry (HS-SPME-GC-MS/MS) was applied for the analysis of DDMP. The standard curve was linear between the concentrations of 0.01 and 100 μg/mL, with a limit of detection at 0.1 ng/g that below the sensory threshold of DDMP (2.06 μg/g). Five cultivars of baked red jujubes from China were evaluated with the method for DDMP content (4.55–46.50 μg/g). The results indicated that jujube cultivars with a higher molar ratio of proline to glucose, lower moisture content, and stronger ability to resist water stress should be avoided from baking to modulate the formation of DDMP.
研究领域:
食品科学
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分析化学
·
植物学
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产品关联
DOI
高影响因子
RAPID COMMUNICATIONS IN MASS SPECTROMETRY
·
2016
·
IF 2.226
Xiaoji Cao,Chenlu Wang,Weimin Mo
Rationale Aryl thioethers are potentially useful precursors for constructing various biologically active sulfur-containing heterocycles. The detailed relationship between the losses of HS radical and CS with the spin multiplicity of positively charged diphenyl sulfide biradicals derived from 3-iodophenyl phenyl sulfides has not been obtained by tandem mass spectrometry combined with theoretical calculations. Methods Collision-induced dissociation mass spectrometry experiments were carried out using an ion trap mass spectrometer with APCI in positive mode. The MS/MS experiment for dibenzothiophene was performed by CI triple-quadrupole mass spectrometry in positive ion mode. The accurate masses of fragments were obtained by reflective TOFMS with an EI source. Theoretical calculations were achieved by the density functional theory method at the B3LYP level with the 6−31+G(d, p) basis set in the Gaussian 03 package of programs. Results In the fragmentation of positively charged diphenyl sulfide biradicals, losses of HS· and CS were observed, which were proposed to originate from spin multiplicity transformation from a triplet ground state to a singlet excited state and a phenyl radical shift in triplet ground state, respectively. Moreover, a protonated dibenzothiophene intermediate was confirmed to exist in the process of HS radical loss. A linear correlation was established between the product ion abundance from the two competitive losses and the Hammett constants (σ) of substituent groups on the benzene ring. Conclusions The eliminations of HS· and CS in the fragmentation of positively charged diphenyl sulfide biradicals were triggered by spin multiplicity transformation from a triplet ground state to a singlet excited state and a phenyl radical shift in a triplet ground state, respectively. Based on theoretical calculations, two competitive neutral losses are thermodynamically controlled. Copyright © 2016 John Wiley & Sons, Ltd.
研究领域:
分析化学
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理论计算化学
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DOI
PubMed
高影响因子
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