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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产品关联
DOI
PubMed
高影响因子
FOOD RESEARCH INTERNATIONAL
·
2023
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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
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2020
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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
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微生物学
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DOI
高影响因子
International Journal of Gastronomy and Food Science
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2025
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IF 3.6
Huiying Wu,Wensheng Yao,Shuangyu Ma,Dengyong Liu,Mingcheng Zhang
In this study, the evolution of key flavor compounds in sonit sheep lamb during grilling process has been studied by the E-nose, E-tongue, HS-GC-IMS technique and physicochemical methods. The results showed that the moisture content in lamb decreased, protein content increased due to water loss, fat content reduced due to thermal degradation during the grilling process. The pH showed an initial rapid decrease with significant differences at various grilling times (P < 0.05). The E-nose and E-tongue were found effective in distinguishing lamb samples during grilling duration. A total of 83 volatiles were identified by HS-GC-IMS. Among them, 29 flavor compounds with VIP > 1 were identified as the key flavor substances using the OPLS-DA model. Ethyl acrylate was the main characteristic flavor compounds in raw Sonit Sheep lamb, while ethanol and 1-butanol were determined as the key flavor compounds at 3 and 6 min. Ethylpyrazine, (E)-2-octenal, and nonanal are key substances at 9 min grilling. When grilled for 12 min, the flavor compounds such as 2-methylpropanal, ethyl ethanoate, and trimethylpyrazine became the most important flavor compound in the grilled lamb.
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
高影响因子
POSTHARVEST BIOLOGY AND TECHNOLOGY
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2020
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IF 4.303
Shuang Gu,Wei Chen,Zhenhe Wang,Jun Wang
This study described the rapid determination of potential aflatoxigenic fungi contamination on peanut kernels based on headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) coupled to fluorescence spectroscopy. Data-level and feature-level fusion strategies were introduced to integrate HS-GC-IMS and fluorescence spectra, aiming at improving the performances of identification and prediction models. The application of feature-level data fusion using first 10 PCs coupled with orthogonal partial least squares discriminant analysis (OPLS-DA) offered more accurate characterization (96.7 %) for aflatoxigenic and non-aflatoxigenic fungal infection on peanut samples. Regression models were established for predicting colony counts of peanuts infected with aflatoxigenic fungi based on independent and fused signals by partial least squares regression (PLSR). Feature-level data fusion using first 10 PCs achieved the best performances in colony counts predictions for A. flavus (R 2 = 0.950) and A. parasiticus (R 2 = 0.971). These results demonstrated that the combination of HS-GC-IMS and fluorescence spectra might offer the feasibility for early detection of potential aflatoxigenic risk in peanuts.
研究领域:
食品科学
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微生物学
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产品关联
DOI
高影响因子
Food Chemistry-X
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2024
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IF 6.5
Bing Zhang,Siman Zheng,Mingquan Huang,Qiang Wu,Wei Dong,Jihong Wu,Hongqin Liu,Dongrui Zhao,Yougui Yu,Jinchen Li
The volatile compounds in 16 different storage containers and years of Xiangjiao Baijiu (XJBJ) were compared and analyzed via direct injection (DI) combined with gas chromatography–mass spectrometry (GC–MS) and headspace extraction (HS) coupled with gas chromatography-ion mobility spectrometry (HS-GC-IMS) for the first time. Through HS-GC-IMS analysis, it was found that the succession rules of 14 compounds such as furfural during aging process. A total of 60 compounds were identified using DI-GC–MS. Twenty-five of these compounds were further quantified, and 19 compounds had odor activity values (OAVs) > 1, which were important contributor to aroma of XJBJ. Among them, those with OAVs >1000 included ethyl hexanoate, ethyl octanoate, ethyl butanoate, and ethyl pentanoate. Combining the results of quantitative, OAVs and partial least squares-discriminant analysis (PLS-DA) revealed that 10 compounds such as ethyl octanoate were the important compounds that lead to the differences between different storage types of XJBJ.
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
Food Chemistry-X
·
2024
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IF 6.5
Xiaoqing Miao,Shuang Li,Yang Liu,Jing Li,Xiuping Dong,Ming Du,Pengfei Jiang
To improve the ease of eating sea cucumbers, we investigated the impact of puffing temperature (190 °C - 250 °C) and time (1–5 min) on their quality and flavor. As temperature and time increased, sea cucumber puffing significantly enhanced. The microstructure of the puffed sea cucumber exhibited a uniform porous structure at 230 °C for 4 min. However, further puffing treatment caused the void to collapse. A total of 81 volatile organic compounds (VOCs) were identified using HS-GC-IMS, and 18 VOCs with Relative odor activity value (ROAV) ≥1 were identified. The content of fishy compounds, such as dimethyl sulfide, 1-octanal, and 1-nonanal in sea cucumbers gradually decreased with increasing temperature and time. Combined with GC–MS analysis indicating that the flavor of sea cucumbers puffed at 250 °C for 5 min was superior. Our findings suggest new avenues for sea cucumber processing and address the limited research on puffing techniques for protein-based raw materials.
研究领域:
食品科学
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分析化学
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海洋生物学
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DOI
PubMed
高影响因子
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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产品关联
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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产品关联
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
·
分析化学
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产品关联
DOI
高影响因子
Food Bioscience
·
2024
·
IF 4.8
Baoqing Bai,Lanqi Zhang,Ying Zhang,Bin Feng,Tao Bo,Jinhua Zhang,Sanhong Fan,Yukun Yang
The fermentation rounds in the brewing process of Qingxiangxing Baijiu (QXB) significantly influence its quality and flavor. This study investigates the flavor characteristics of two rounds of QXB: Dacha-Baijiu and Ercha-Baijiu. Analysis via HS-SPME-GC × GC-TOFMS revealed a higher number of volatile organic compounds (VOCs) in Ercha-Baijiu, whereas Dacha-Baijiu exhibited elevated concentrations of alcohols and esters. Orthogonal partial least squares discrimination analyses indicated significant flavor differences between the two rounds. Based on odor activity value (OAV >1) assessment, 51 VOCs were identified as key aroma contributors, with β-damascenone, isovaleraldehyde, ethyl caprylate, and ethyl hexanoate being particularly prominent. Furthermore, 37 volatile compounds were accurately identified using GC-IMS, effectively constructing a fingerprint of the flavor differences between two rounds of QXB. Sensory analysis revealed significant distinctions in both aroma and taste. Dacha-Baijiu exhibited more intense aroma of sweet, floral, and grain, as well as taste of sour and fresh, while Ercha-Baijiu was marked by strong acid, alcoholic, and fruit aroma, as well as sweet, bitter and salty taste. This study elucidates the flavor characteristics of two rounds of QXB, which providing valuable insights for the processing technology and flavor quality control of QXB.
研究领域:
食品科学
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分析化学
·
风味化学
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产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）