scholarly journals A Comparative Analysis of Floral Scent Compounds in Intraspecific Cultivars of Prunus mume with Different Corolla Colours

Molecules ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 145 ◽  
Author(s):  
Tengxun Zhang ◽  
Fei Bao ◽  
Yongjuan Yang ◽  
Ling Hu ◽  
Anqi Ding ◽  
...  
Keyword(s):  
Benzyl Alcohol ◽  
Solid Phase ◽  
Floral Scent ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Floral Volatiles ◽  
Benzyl Acetate ◽  
Prunus Mume ◽  
Benzyl Benzoate ◽  
Floral Volatile

Prunus mume is the only fragrant flowering species of Prunus. According to the previous studies, benzyl acetate and eugenol dominate its floral scent. However, the diversity of its floral scents remains to be elucidated. In this work, the floral volatiles emitted from eight intraspecific cultivars of P. mume with white, pink and red flowers, were collected and analyzed using headspace solid-phase microextraction combined with gas chromatograms-mass spectrometry (HS-SPME-GC-MS). In total, 31 volatile compounds were identified, in which phenylpropanoids/benzenoids accounted for over 95% of the total emission amounts. Surprisingly, except for benzyl acetate and eugenol, several novel components, such as benzyl alcohol, cinnamyl acohol, cinnamy acetate, and benzyl benzoate were found in some cultivars. The composition of floral volatiles in cultivars with white flowers was similar, in which benzyl acetate was dominant, while within pink flowers, there were differences of floral volatile compositions. Principal component analysis (PCA) showed that the emissions of benzyl alcohol, cinnamyl alcohol, benzyl acetate, eugenol, cinnamyl acetate, and benzyl benzoate could make these intraspecific cultivars distinguishable from each other. Further, hierarchical cluster analysis indicated that cultivars with similar a category and amount of floral compounds were grouped together. Our findings lay a theoretical basis for fragrant plant breeding in P. mume.

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 Analysis of Floral Fragrance Compounds of Chimonanthus praecox with Different Floral Colors in Yunnan, China

Separations ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 122
Author(s):  
Liubei Meng ◽  
Rui Shi ◽  
Qiong Wang ◽  
Shu Wang
Keyword(s):  
Benzyl Alcohol ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Principal Component ◽  
Gas Chromatography Mass Spectrometry ◽  
Benzyl Acetate ◽  
Floral Fragrance ◽  
Fragrance Release ◽  
Fragrance Compounds ◽  
Chimonanthus Praecox

In order to better understand the floral fragrance compounds of Chimonanthus praecox belonging to genus Chimonanthus of Chimonanaceae in Yunnan, headspace solid-phase microextraction combined with gas chromatography-mass spectrometry was used to analyze these compounds from four C. praecox plants with different floral colors. Thirty-one types of floral fragrance compounds were identified, among which terpenes, alcohols, esters, phenols, and heterocyclic compounds were the main compounds. Interestingly, the floral fragrance compounds identified in the flowers of C. praecox var. concolor included benzyl acetate, α-ocimene, eugenol, indole, and benzyl alcohol. By contrast, the floral fragrance compounds β-ocimene, α-ocimene, and trans-β-ocimene were detected in C. praecox var. patens. Cluster analysis showed that C. praecox var. concolor H1, H2, and C. praecox var. patens H4 were clustered in one group, but C. praecox var. patens H3 was individually clustered in the other group. Additionally, principal component analysis showed that α-ocimene, benzyl alcohol, benzyl acetate, cinnamyl acetate, eugenol, and indole were the main floral fragrance compounds that could distinguish the four C. praecox with different floral colors in Yunnan. This study provides a theoretical basis for further elucidating the mechanism and pathway of the floral fragrance release of C. praecox.

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 In vivo and in vitro Volatile Constituents of the Flowers of Xylopia aromatica by HS‑SPME/GC-MS

2021 ◽  
Author(s):  
João Junqueira ◽  
Michelle do Nascimento ◽  
Lucas da Costa ◽  
Lincoln Romualdo ◽  
Francisco de Aquino ◽  
...  
Keyword(s):  
Solid Phase ◽  
Floral Scent ◽  
Principal Component ◽  
Gas Chromatography Mass Spectrometry ◽  
Large White ◽  
Volatile Constituents ◽  
Wide Range ◽  
First Time

Xylopia aromatica (Lam.) Mart. (Annonaceae) is a typical species from the Brazilian cerrado that presents medicinal properties. The plant is distinguished by its large white flowers which produce a pleasant fragrance. X. aromatica is characterized by a wide range of medicinal application. These characteristics have motivated us to investigate the flowers volatile organic compounds (VOCs) via in vivo and in vitro protocols by a headspace solid-phase microextraction (HS‑SPME) technique combined with gas chromatography-mass spectrometry (HS-SPME/GC‑MS). Four different fibers, extraction times and temperatures were the parameters changed to lead to the maximum profiling of the volatile constituents. Data were analyzed using principal component analysis (PCA). A total of 77 VOCs were extracted from the floral scent, with 52 and 68 extracted from in vivo and in vitro sampling, respectively, of which 48 were reported for the first time in the literature as volatile constituents from X. aromatica flowers. The extraction and identification of VOCs were successfully performed through HS-SPME/GC-MS. The PCA data allowed the identification of parameters that led to the maximum number of VOCs, which were polyacrylate (PA) and carboxen/polydimethylsiloxane (CAR/PDMS) fibers, 60 min extraction time and temperature of 29.0 °C. Among the volatile constituents identified, sesquiterpenes predominated, comprising about 61.04%.

scholarly journals Identification and Evaluation of Aromatic Volatile Compounds in 26 Cultivars and 8 Hybrids of Freesia hybrida

Molecules ◽  
2021 ◽  
Vol 26 (15) ◽  
pp. 4482
Author(s):  
Shidan Weng ◽  
Xueqing Fu ◽  
Yu Gao ◽  
Tianlei Liu ◽  
Yi Sun ◽  
...  
Keyword(s):  
Clustering Analysis ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Floral Scent ◽  
Principal Component ◽  
Gas Chromatography Mass Spectrometry ◽  
Commercial Application ◽  
Freesia Hybrida ◽  
Volatile Organic ◽  
Main Component

Freesia hybrida is a group of cultivars in the genus Freesia with a strong floral scent composed of diverse volatile organic compounds (VOCs). In this study, the VOCs of 34 F. hybrida were extracted and analyzed by headspace solid phase microextraction and gas chromatography mass spectrometry (HS-SPME-GC-MS). A total of 164 VOCs whose relative contents were higher than 0.05% were detected. The numbers of VOCs in all germplasms differed between 11 to 38, and the relative contents ranged from 32.39% to 94.28%, in which most germplasms were higher than 80%. Terpenoids, especially monoterpenes, were the crucial type of VOCs in most germplasms, of which linalool and D-limonene were the most frequently occurring. Principal component analysis (PCA) clearly separated samples based on whether linalool was the main component, and hierarchical clustering analysis (HCA) clustered samples into 4 groups according to the preponderant compounds linalool and (E)-β-ocimene. Comparison of parental species and hybrids showed heterosis in three hybrids, and the inherited and novel substances suggested that monoterpene played an important role in F. hybrida floral scent. This study established a foundation for the evaluation of Freesia genetic resources, breeding for the floral aroma and promoting commercial application.

scholarly journals Comparison of the Chemical and Sensorial Evaluation of Dark Chocolate Bars

2021 ◽  
Vol 11 (21) ◽  
pp. 9964
Author(s):  
Ylenia Pieracci ◽  
Roberta Ascrizzi ◽  
Luisa Pistelli ◽  
Guido Flamini
Keyword(s):  
Solid Phase ◽  
Headspace Analysis ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Dark Chocolate ◽  
Gas Chromatography Mass Spectrometry ◽  
Panel Test ◽  
Sensorial Evaluation ◽  
Consumer's Perception ◽  
Chemical Class

As it mimics olfactory perception, headspace analysis is frequently used for examination of products like chocolate, in which aroma is a key feature. Chemical analysis by itself, however, only provides half the picture, as final consumer’s perception cannot be compared to that of a Gas Chromatography-Mass Spectrometry (GC-MS) port, but rather to a panel test assessment. The aim of the present study was the evaluation of combined chemical (by means of headspace solid-phase microextraction and GC-MS) and panel test data (by means of a sensory evaluation operated by 6 untrained panelists) obtained for 24 dark chocolate bars to assess whether these can discriminate between bars from different brands belonging to different commercial segments (hard discount, HD; supermarket, SM; organic bars, BIO). In all samples, with the only exception of one supermarket bar (in which esters exhibited the highest relative abundance), pyrazines were detected as the most abundant chemical class (HD: 56.3–74.2%; BIO: 52.0–76.4%; SM: 31.2–88.9%). Non-terpene alcohols, aldehydes, and esters followed as quantitatively relevant groups of compounds. The obtained data was then subjected to hierarchical cluster (HCA) and principal component (PCA) analysis. The statistical distribution of samples obtained for the chemical data did not match that obtained with panelists’ sensorial data. Moreover, although an overall ability of grouping samples of the same commercial origin was evidenced for hard discount and supermarket bars, no sharp grouping was possible.

scholarly journals Floral Scent in Wisteria: Chemical Composition, Emission Pattern, and Regulation

2011 ◽  
Vol 136 (5) ◽  
pp. 307-314 ◽  
Author(s):  
Yifan Jiang ◽  
Xinlu Chen ◽  
Hong Lin ◽  
Fei Wang ◽  
Feng Chen
Keyword(s):  
Salicylic Acid ◽  
Jasmonic Acid ◽  
Floral Scent ◽  
Gas Chromatography Mass Spectrometry ◽  
Floral Volatiles ◽  
Rhythmic Pattern ◽  
Silver Thiosulphate ◽  
Volatile Chemicals ◽  
Volatile Emission ◽  
Floral Volatile

Volatile chemicals emitted from the flowers of chinese wisteria (Wisteria sinenesis) and japanese wisteria (W. floribunda) were collected using a dynamic headspace technique and identified using gas chromatography–mass spectrometry; 28 and 22 compounds were detected from chinese wisteria and japanese wisteria flowers, respectively. These chemicals can be classified into four major classes, including fatty acid derivatives, benzenoids/phenylpropanoids, terpenoids, and nitrogen-containing compounds. Two monoterpenes, (E)-β-ocimene and linalool, belonging to the class of terpenoids, were the most abundant compounds emitted from both species. Despite strong similarity, the floral volatile profiles of the two species displayed variations in both quality and quantity. Chinese wisteria was selected as a model for further study of volatile emission from different parts of flowers, emission dynamics, and regulation of floral scent production. Although floral volatiles were detected from all flower parts, petals emitted the most. The emission of floral volatiles displayed a diurnal pattern with the maximal emissions occurring during the daytime. This rhythmic pattern was determined to be light-dependent. Regulation of floral volatile emission by exogenous chemicals, including silver thiosulphate (an ethylene inhibitor), salicylic acid, and jasmonic acid, also was analyzed. Generally, jasmonic acid promoted the emission of floral volatiles. In contrast, neither silver thiosulphate nor salicylic acid showed a significant effect on floral volatile emission. The results presented in this article suggest that wisteria can serve as a useful system for exploring novel biochemistry of floral scent biosynthesis. They also build a foundation for the study of the biological/ecological significance of floral volatiles on the reproductive biology of wisteria species.

scholarly journals Headspace Volatiles and Endogenous Extracts of Prunus mume Cultivars with Different Aroma Types

Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7256
Author(s):  
Xueqin Wang ◽  
Yanyan Wu ◽  
Huanhuan Zhu ◽  
Hongyan Zhang ◽  
Juan Xu ◽  
...  
Keyword(s):  
Solid Phase ◽  
Floral Scent ◽  
Gas Chromatography Mass Spectrometry ◽  
Cinnamyl Alcohol ◽  
Prunus Mume ◽  
Headspace Volatiles ◽  
Volatile Organic ◽  
Benzoyl Cyanide ◽  
Main Components ◽  
Odor Activity Value

Prunus mume is a traditional ornamental plant, which owed a unique floral scent. However, the diversity of the floral scent in P. mume cultivars with different aroma types was not identified. In this study, the floral scent of eight P. mume cultivars was studied using headspace solid-phase microextraction (HS-SPME) and organic solvent extraction (OSE), combined with gas chromatography-mass spectrometry (GC-MS). In total, 66 headspace volatiles and 74 endogenous extracts were putatively identified, of which phenylpropanoids/benzenoids were the main volatile organic compounds categories. As a result of GC-MS analysis, benzyl acetate (1.55–61.26%), eugenol (0.87–6.03%), benzaldehyde (5.34–46.46%), benzyl alcohol (5.13–57.13%), chavicol (0–5.46%), and cinnamyl alcohol (0–6.49%) were considered to be the main components in most varieties. However, the volatilization rate of these main components was different. Based on the variable importance in projection (VIP) values in the orthogonal partial least-squares discriminate analysis (OPLS-DA), differential components of four aroma types were identified as biomarkers, and 10 volatile and 12 endogenous biomarkers were screened out, respectively. The odor activity value (OAV) revealed that several biomarkers, including (Z)-2-hexen-1-ol, pentyl acetate, (E)-cinnamaldehyde, methyl salicylate, cinnamyl alcohol, and benzoyl cyanide, contributed greatly to the strong-scented, fresh-scented, sweet-scented, and light-scented types of P. mume cultivars. This study provided a theoretical basis for the floral scent evaluation and breeding of P. mume cultivars.

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.

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