scholarly journals Comparative Study of the Petal Structure and Fragrance Components of the Nymphaea hybrid, a Precious Water Lily

Molecules ◽  
2022 ◽  
Vol 27 (2) ◽  
pp. 408
Author(s):  
Qi Zhou ◽  
Man Shi ◽  
Huihui Zhang ◽  
Zunling Zhu
Keyword(s):  
Volatile Compounds ◽  
Solid Phase ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Volatile Components ◽  
Ecological Value ◽  
Water Lily ◽  
Transmission Electron ◽  
Yellow Type ◽  
Different Strains

Nymphaea hybrid, a precious water lily, is a widely-cultivated aquatic flower with high ornamental, economic, medicinal, and ecological value; it blooms recurrently and emits a strong fragrance. In the present study, in order to understand the volatile components of N. hybrid and its relationship with petals structure characteristics, the morphologies and anatomical structures of the flower petals of N. hybrid were investigated, and volatile compounds emitted from the petals were identified. Scanning and transmission electron microscopy were used to describe petal structures, and the volatile constituents were collected using headspace solid-phase microextraction (HS-SPME) fibers and analyzed using gas chromatography coupled with mass spectrometry (GC-MS). The results indicated that the density and degree of protrusion and the number of plastids and osmiophilic matrix granules in the petals play key roles in emitting the fragrance. There were distinct differences in the components and relative contents of volatile compounds among the different strains of N. hybrid. In total, 29, 34, 39, and 43 volatile compounds were detected in the cut flower petals of the blue-purple type (Nh-1), pink type (Nh-2), yellow type (Nh-3) and white type (Nh-4) of N. hybrid at the flowering stage, with total relative contents of 96.78%, 97.64%, 98.56%, and 96.15%, respectively. Analyses of these volatile components indicated that alkenes, alcohols, and alkanes were the three major types of volatile components in the flower petals of N. hybrid. The predominant volatile compounds were benzyl alcohol, pentadecane, trans-α-bergamotene, (E)-β-farnesene, and (6E,9E)-6,9-heptadecadiene, and some of these volatile compounds were terpenes, which varied among the different strains. Moreover, on the basis of hierarchical cluster analysis (HCA) and principal component analysis (PCA), the N. hybrid samples were divided into four groups: alcohols were the most important volatile compounds for Nh-4 samples; esters and aldehydes were the predominant volatiles in Nh-3 samples; and ketones and alkenes were important for Nh-2 samples. These compounds contribute to the unique flavors and aromas of the four strains of N. hybrid.

scholarly journals Correlation of Volatile Compounds and Sensory Attributes of Chinese Traditional Sweet Fermented Flour Pastes Using Hierarchical Cluster Analysis and Partial Least Squares-Discriminant Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Meigui Huang ◽  
Yulin Li ◽  
Ping Zhan ◽  
Ping Liu ◽  
Honglei Tian ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Least Squares ◽  
Volatile Compounds ◽  
Partial Least Squares ◽  
Hierarchical Cluster Analysis ◽  
Solid Phase ◽  
Hierarchical Cluster ◽  
Sensory Attributes ◽  
Volatile Components

The aroma compositions, sensory attributes, and their correlations of various traditional Chinese sweet fermented flour pastes (SFFPs) were investigated. SFFPs, including LEEJ, LEEH, and XH6, showed high overall acceptance scores of 8.00, 8.21, and 7.50, respectively. Ninety-six volatile compounds were detected using solid-phase microextraction gas chromatography mass spectrometry. Hierarchical cluster analysis grouped SFFPs into three clusters according to their concentrations and compositions of volatile components. Partial least squares-discriminant analysis showed that volatile compounds, including ethyl phenylacetate, 5-methyl furfural, amyl cinnamal, ethyl myristate, decyl aldehyde, 1-phenylethyl acetate, 1-octen-3-ol, 3-buten-2-ol, butanoic acid, and caproaldehyde, were highly negatively correlated with saltiness, sourness, and bitterness, while they were positively correlated with sweetness, umami, richness, and acceptance. The obvious correlation between flavor profiles and sensory attributes could help online monitoring of SFFPs’ flavor quality during production.

Analysis of flavor compounds in marinated chicken wings after irradiation and natural antioxidant (phytic acid and tea polyphenols) treatment

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Mingxiu Long ◽  
Min Liu ◽  
Yongfu Li ◽  
Zhuxi Tian ◽  
Yangbo He ◽  
...  
Keyword(s):  
Volatile Compounds ◽  
Phytic Acid ◽  
Solid Phase ◽  
Meat Products ◽  
Principal Component ◽  
Tea Polyphenols ◽  
Flavor Compounds ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Components ◽  
Irradiation Treatment

Abstract Marinated chicken wings is one of the popular marinated meat products in China. Here, electronic nose (e-nose) and solid phase microextraction-gas chromatography-mass spectrometry (SPME-GC-MS) were used to detect volatile components of four different treatment marinated chicken wings (neither irradiated nor added phytic acid and tea polyphenols, A1; added phytic acid and tea polyphenols but no irradiated, A2; irradiated with 4 kGy irradiation but not added phytic acid and tea polyphenols, A3; irradiated with 4 kGy irradiation and added phytic acid and tea polyphenols, A4). Then odor activity value (OAV) and principal component analysis (PCA) were utilized to analyze their key flavor compounds. E-nose analysis found that antioxidant has a great impact on the odor of the marinated chicken wings, while the irradiation treatment has little effect on it. Besides, the irradiation treatment can reduce the unpleasant odor caused by antioxidants in certain. Through SPME-GC-MS, 101 volatile compounds were identified in four groups. After analysis, the antioxidants can inhibit the production of some volatile compounds, while irradiation treatment will relieve this phenomenon. This result is consistent with the e-nose. Following OAV, PCA analysis and sensory evaluation further verified the above conclusions.

scholarly journals Elucidation of the Volatilome of Packaged Spanish-Style Green Olives of Conservolea and Halkidiki Varieties Using SPME-GC/MS

Proceedings ◽  
2020 ◽  
Vol 70 (1) ◽  
pp. 75
Author(s):  
Alexandra Nanou ◽  
Athanasios Mallouchos ◽  
Efstathios Z. Panagou
Keyword(s):  
Volatile Compounds ◽  
Solid Phase ◽  
Acid Ethyl Ester ◽  
Volatile Components ◽  
Propanoic Acid ◽  
Qualitative Composition ◽  
Organoleptic Characteristics ◽  
Increasing Trend ◽  
Volatile Profiles ◽  
Over Time

Olives are characterized by a wide variety of volatile compounds, which are primarily products of microbial metabolism that contribute to the organoleptic characteristics of the final product and especially to its flavor. The volatilome in Spanish-style processed green olives of Conservolea and Halkidiki cultivars were analytically characterized. A solid phase micro-extraction (SPME) technique was used for the extraction of volatile components from the olive samples that were further identified and quantified by gas chromatography coupled to mass spectrometry (GC–MS). Eighty-eight (88) compounds were identified, including several aldehydes, ketones, acids, terpenes, but mainly esters and alcohols. Results showed that there were no significant differences in the qualitative composition of the volatile profiles between the two varieties. Acetic and propanoic acids, thymol, ethanol, 2-butanol, 1-propanol, ethyl acetate as well as ethyl propanoate were the most dominant compounds found in both cultivars. However, some quantitative differences were spotted between the two varieties regarding some of the identified volatile compounds. The quantity of 2-butanol was higher in the Halkidiki variety, while propanoic acid ethyl ester was found in higher amounts in the Conservolea variety. Furthermore, differences in the quantities of some volatile compounds over time were observed. Most of the identified compounds presented an increasing trend during storage.

scholarly journals Influences of Smoking in Traditional and Industrial Conditions on Flavour Profile of Harbin Red Sausages by Comprehensive Two-Dimensional Gas Chromatography Mass Spectrometry

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1180
Author(s):  
Xiaoyu Yin ◽  
Qian Chen ◽  
Qian Liu ◽  
Yan Wang ◽  
Baohua Kong
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Volatile Compounds ◽  
Solid Phase ◽  
Meat Products ◽  
Principal Component ◽  
Quality Characteristics ◽  
Gas Chromatography Mass Spectrometry ◽  
Two Dimensional ◽  
Chromatography Mass Spectrometry

Smoking is mainly used to impart desirable flavour, colour and texture to the products. Various food smoking methods can be divided into traditional and industrial methods. The influences of three different smoking methods, including traditional smouldering smoke (TSS), industrial smouldering smoke (ISS) and industrial liquid smoke (ILS), on quality characteristics, sensory attributes and flavour profiles of Harbin red sausages were studied. The smoking methods had significant effects on the moisture content (55.74–61.72 g/100 g), L*-value (53.85–57.61), a*-value (11.97–13.15), b*-value (12.19–12.92), hardness (24.25–29.17 N) and chewiness (13.42–17.32). A total of 86 volatile compounds were identified by headspace solid phase microextraction combined with comprehensive two-dimensional gas chromatography mass spectrometry (GC × GC-qMS). Among them, phenolic compounds were the most abundant compounds in the all sausages. Compared with sausages smoked with smouldering smoke, the ILS sausages showed the highest content of volatile compounds, especially phenols, alcohols, aldehydes and ketones. Principal component analysis showed that the sausages smoked with different methods had a good separation based on the quality characteristics and GC × GC-qMS data. These results will facilitate optimising the smoking methods in the industrial production of smoked meat products.

Wine Authentication Using Integration Assay of MIR, NIR, E-tongue, HS-SPME-GC-MS, and Multivariate Analyses: A Case Study for a Typical Cabernet Sauvignon Wine

2019 ◽  
Vol 102 (4) ◽  
pp. 1174-1180
Author(s):  
Xinyu Jin ◽  
Shimin Wu ◽  
Wenjuan Yu ◽  
Xinyi Xu ◽  
Mingquan Huang ◽  
...  
Keyword(s):  
Near Infrared ◽  
Solid Phase ◽  
Electronic Tongue ◽  
Nir Spectroscopy ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Cabernet Sauvignon ◽  
Mir Spectroscopy ◽  
Wine Authentication ◽  
Grey Relational

Abstract Background: Cabernet Sauvignon wine enjoys large market in China, and its adulteration has become a well-known problem and challenge. Objective: This study aims to evaluate the capabilities of multiple techniques, including headspace–solid-phase microextraction–GC-MS (HS-SPME-GC-MS), electronic tongue (E-tongue) spectroscopy, mid-infrared (MIR) spectroscopy, and near-infrared (NIR) spectroscopy, to differentiate this popular imported wine in China. Methods: MIR spectroscopy, NIR spectroscopy, E-tongue spectroscopy, and HS-SPME-GC-MS were used. Multivariate analysis techniques were applied to further explore the instrumental determination data for the wine discrimination. Results: Joint use of MIR and NIR with Grey relational analysis (GRA), E-tongue with principal component analysis (PCA) and hierarchical cluster analysis, and HS-SPME-GC-MS with PCA allowed unanimous differentiation of the wines. Conclusions: The approach described herein offers both ecologically friendly and multiperspective mutual corroboration techniques for Cabernet Sauvignon wine discrimination. The integrative methodology could be used as a reference for wine authentication. Highlights: GRA was first applied to discriminate the wine samples. Mutual corroboration was verified by multivariate statistics combined with MIR, NIR, E-tongue, and SPME-GC/MS. Integrated techniques pointed to a unanimous authentication of the wine samples.

scholarly journals Evaluation of Volatile Metabolites Emitted In-Vivo from Cold-Hardy Grapes during Ripening Using SPME and GC-MS: A Proof-of-Concept

Molecules ◽  
2019 ◽  
Vol 24 (3) ◽  
pp. 536 ◽  
Author(s):  
Somchai Rice ◽  
Devin Maurer ◽  
Anne Fennell ◽  
Murlidhar Dharmadhikari ◽  
Jacek Koziel
Keyword(s):  
Solid Phase ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Temporal Variations ◽  
Grape Berry ◽  
Wine Industry ◽  
Gas Chromatography Mass Spectrometry ◽  
Cold Hardy ◽  
Non Destructive

In this research, we propose a novel concept for a non-destructive evaluation of volatiles emitted from ripening grapes using solid-phase microextraction (SPME). This concept is novel to both the traditional vinifera grapes and the cold-hardy cultivars. Our sample models are cold-hardy varieties in the upper Midwest for which many of the basic multiyear grape flavor and wine style data is needed. Non-destructive sampling included a use of polyvinyl fluoride (PVF) chambers temporarily enclosing and concentrating volatiles emitted by a whole cluster of grapes on a vine and a modified 2 mL glass vial for a vacuum-assisted sampling of volatiles from a single grape berry. We used SPME for either sampling in the field or headspace of crushed grapes in the lab and followed with analyses on gas chromatography-mass spectrometry (GC-MS). We have shown that it is feasible to detect volatile organic compounds (VOCs) emitted in-vivo from single grape berries (39 compounds) and whole clusters (44 compounds). Over 110 VOCs were released to headspace from crushed berries. Spatial (vineyard location) and temporal variations in VOC profiles were observed for all four cultivars. However, these changes were not consistent by growing season, by location, within cultivars, or by ripening stage when analyzed by multivariate analyses such as principal component analysis (PCA) and hierarchical cluster analyses (HCA). Research into aroma compounds present in cold-hardy cultivars is essential to the continued growth of the wine industry in cold climates and diversification of agriculture in the upper Midwestern area of the U.S.

scholarly journals Identification of Floral Scent Profiles in Bearded Irises

Molecules ◽  
2019 ◽  
Vol 24 (9) ◽  
pp. 1773 ◽  
Author(s):  
Yuan Yuan ◽  
Ye Sun ◽  
Yanchun Zhao ◽  
Chungui Liu ◽  
Xiulan Chen ◽  
...  
Keyword(s):  
Solid Phase ◽  
Floral Scent ◽  
Ornamental Plants ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Gas Chromatography Mass Spectrometry ◽  
Methyl Cinnamate ◽  
Citronellyl Acetate ◽  
Iris Germanica ◽  
Scent Profile

Bearded irises are ornamental plants with distinctive floral fragrance grown worldwide. To identify the floral scent profiles, twenty-seven accessions derived from three bearded iris, including Iris. germanica, I. pumila and I. pallida were used to investigate the composition and relative contents of floral scent components by headspace solid-phase microextraction (HS-SPME) and gas chromatography–mass spectrometry (GC-MS). A total of 219 floral scent components were detected in blooming flowers. The scent profile varied significantly among and within the three investigated species. Principal component analysis (PCA) indicated that terpenes, alcohols and esters contributed the most to the floral scent components and 1-caryophyllene, linalool, citronellol, methyl cinnamate, β-cedrene, thujopsene, methyl myristate, linalyl acetate, isosafrole, nerol, geraniol were identified as the major components. In a hierarchical cluster analysis, twenty-seven accessions could be clustered into six different groups, most of which had representative scent components such as linalool, citronellyl acetate, thujopsene, citronellol, methyl cinnamate and 1-caryophyllene. Our findings provide a theoretical reference for floral scent evaluation and breeding of bearded irises.

scholarly journals Effect of Seasoning Addition on Volatile Composition and Sensory Properties of Stewed Pork

Foods ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 83
Author(s):  
Dong Han ◽  
Chun-Hui Zhang ◽  
Marie-Laure Fauconnier
Keyword(s):  
Mass Spectrometry ◽  
Volatile Compounds ◽  
Sensory Evaluation ◽  
Solid Phase ◽  
Principal Component ◽  
Soy Sauce ◽  
Gas Chromatography Mass Spectrometry ◽  
Water Salt ◽  
Volatile Profiles ◽  
Positive Effect

The study aimed to investigate the influence of seasoning formulations (SP1: water; SP2: water and salt; SP3: water, salt and spices; SP4: water, salt, spices and soy sauce; SP5: water, salt, spices, soy sauce, sugar; SP6: water, salt, spices, soy sauce, sugar and cooking wine) on the volatile profiles and sensory evaluation of stewed pork. Volatile compounds were extracted using solid phase microextraction (SPME), then analysed by gas chromatography-mass spectrometry/olfactometry (GC-MS/O) and two-dimensional gas chromatographic combined with time-of-fight mass spectrometry (GC × GC-TOFMS). The results revealed that the most abundant volatile compounds, especially aldehydes, were presented in the stewed pork using SP1 and SP2. This indicated that the stewed pork with water and salt could promote lipid oxidation and amino acid degradation. As revealed by principal component analysis (PCA), the stewed pork samples with SP3 were located on the opposite side of that with SP4, SP5, and SP6 in the first and third principal component (PC1-PC3), which indicated that the overall flavour formed by adding spices was significantly different from that of adding soy sauce, sugar, and cooking wine. Sensory evaluation showed that stronger spicy, caramel, and soy sauce odour were present in samples SP3, SP4, SP5, and SP6. This study has indicated that the addition of food seasoning had a positive effect on flavour profiles of stewed pork, particularly for salt and spices.

scholarly journals Exploratory and discriminative studies of commercial processed Brazilian coffees with different degrees of roasting and decaffeinated

2013 ◽  
Vol 16 (3) ◽  
pp. 198-206 ◽  
Author(s):  
Juliano Souza Ribeiro ◽  
Reinaldo Francisco Teófilo ◽  
Terezinha de Jesus Garcia Salva ◽  
Fabio Augusto ◽  
Marcia Miguel Castro Ferreira
Keyword(s):  
Principal Component Analysis ◽  
Least Squares ◽  
Volatile Compounds ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Principal Component ◽  
Industrial Processing ◽  
Discriminative Analysis ◽  
Volatile Precursors ◽  
Chromatographic Profiles

The fingerprints of the volatile compounds of 21 commercial Brazilian coffee samples submitted to different industrial processing i.e. decaffeinated or different roasting degrees (traditional and dark) were studied. The volatiles were collected by headspace solid phase microextraction (HS-SPME) and analyzed by GC-FID and GC-MS. The chromatographic data matrices (fingerprints) obtained were explored by the principal component analysis (PCA) and partial least squares - discriminative analysis (PLS-DA). Initially the chromatographic profiles were aligned by the algorithm correlation optimized warping (COW). The PCA showed the discrimination of the decaffeinated coffees from the others with both the SPME fibres used. This separation probably occurred due to the loss of some volatile precursors during the decaffeination process, such as sucrose. For both the fibres tested, PDMS/DVB and CX / PDMS SPME, the PLS-DA models correctly classified 100% of the samples according to their roasting degree: (medium and dark), the main differences being the concentrations of some of the volatile compounds such as 2-methyl furan, 2-methylbutanal, 2,3-pentanedione, pyrazine, 2-carboxyaldehyde pyrrole, furfural and 2-furanmethanol.

scholarly journals Analysis of Volatile Constituents in Platostoma palustre (Blume) Using Headspace Solid-Phase Microextraction and Simultaneous Distillation-Extraction

Foods ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 415 ◽  
Author(s):  
Kung ◽  
Chen ◽  
Chao ◽  
Wu ◽  
Lin ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Volatile Compounds ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Headspace Analysis ◽  
Extraction Methods ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Components ◽  
Headspace Solid Phase Microextraction ◽  
Simultaneous Distillation Extraction

Hsian-tsao (Platostoma palustre Blume) is a traditional Taiwanese food. It is admired by many consumers, especially in summer, because of its aroma and taste. This study reports the analysis of the volatile components present in eight varieties of Hsian-tsao using headspace solid-phase microextraction (HS-SPME) and simultaneous distillation-extraction (SDE) coupled with gas chromatography (GC) and gas chromatography-mass spectrometry (GC/MS). HS-SPME is a non-heating method, and the results show relatively true values of the samples during flavor isolation. However, it is a kind of headspace analysis that has the disadvantage of a lower detection ability to relatively higher molecular weight compounds; also, the data are not quantitative, but instead are used for comparison. The SDE method uses distillation 2 h for flavor isolation; therefore, it quantitatively identifies more volatile compounds in the samples while the samples withstand heating. Both methods were used in this study to investigate information about the samples. The results showed that Nongshi No. 1 had the highest total quantity of volatile components using HS-SPME, whereas SDE indicated that Taoyuan Mesona 1301 (TYM1301) had the highest volatile concentration. Using the two extraction methods, 120 volatile components were identified. Fifty-six volatile components were identified using HS-SPME, and the main volatile compounds were α-pinene, β-pinene, and limonene. A total of 108 volatile components were identified using SDE, and the main volatile compounds were α-bisabolol, β-caryophyllene, and caryophyllene oxide. Compared with SDE, HS-SPME sampling extracted a significantly higher amount of monoterpenes and had a poorer detection of less volatile compounds, such as sesquiterpenes, terpene alcohols, and terpene oxide.

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