Explore the vast range of titles available.

‘Cuixiang’ (Actinidia deliciosa) is recognized as a highly valued fruit with significant economic importance. Its distinctive and pleasant flavor sets it apart from other species of kiwifruit, contributing to its stellar reputation. However, the flavor profile of ‘Cuixiang’ kiwifruit is susceptible to change during storage, and the underlying mechanisms responsible for these changes have yet to be fully investigated. Herein, we conducted a comprehensive analysis of volatile profiles and transcriptome on ‘Cuixiang’ samples at different storage times, aiming to uncover the mechanism underlying the flavor biotransformation. A total of 63 volatiles were quantified by HS–SPME–GC–MS, of which 16 were identified as key compounds distinctive of aroma quality during storage by PLS-DA and OAV analysis. Besides, a total of 13,922 differentially expressed genes in fruits were identified and used to identify key candidate genes that may regulate volatiles during storage. The results of KEGG analysis showed that Achn072171, Achn270621, and Achn012241 were involved in the synthesis of key aroma compounds and verified by qRT-PCR. Weighted gene co-expression network analysis (WGCNA) showed that NAC and BHLH transcription factors were positively correlated with the expression of these genes. Our findings elucidate the underlying metabolic processes that regulate aroma during the storage of ‘Cuixiang’ kiwifruit, and the identification of key genes involved in flavor regulation presents promising targets for flavor regulation and quality assurance of ‘Cuixiang’ fruit.

In this study, headspace solid‐phase microextraction coupled with gas chromatography‐mass spectrometry (HS‐SPME‐GC/MS) was used to identify individual volatile compounds in five jujube varieties, and E‐nose was used to identify their flavor. The results showed that a total of 45 volatile compounds were detected by GC‐MS in the five varieties, and the proportion of acids was the highest (38.29%–54.95%), followed by that of aldehydes (22.94%–47.93%) and esters (6.33%–26.61%). Moreover, different varieties had obviously different volatile components. E‐nose analysis showed that the R7 and R9 sensors were more sensitive to the aroma of jujube than other sensors. The strong response of R7 sensor was attributed to terpenes (or structurally similar substances) in jujube fruit, such as 1‐penten‐3‐one, 2‐octenal, (E)‐2‐heptanaldehyde, and (E)‐2‐hexenal and that of R9 sensor was attributed to the cyclic volatile components such as benzaldehyde, benzoic acid, and methyl benzoate. The multivariate data analysis (PCA, OPLS‐DA, and HCA) of the results of GC/MS and E‐nose showed that the five varieties could be divided into three groups: (1) Ziziphus jujuba Mill. cv. Huizao (HZ) and Z. jujuba cv. Junzao (JZ). Acids were the main volatile components for this group (accounting for 47.44% and 54.95%, respectively); (2) Z. jujuba cv. Hamidazao (HMDZ). This group had the most abundant volatile components (41), and the concentrations were also the highest (1285.43 µg/kg); (3) Winter jujube 1 (Z. jujuba cv. Dongzao, WJ1) and Winter jujube 2 (Z. jujuba cv. Dongzao, WJ2). The proportion of acids (38.38% and 38.29%) and aldehydes (40.35% and 38.19%) were similar in the two varieties. Therefore, the combination of headspace solid‐phase microextraction coupled with gas chromatography‐mass spectrometry and E‐nose could quickly and accurately identify the volatile components in jujube varieties from macro‐ and microperspectives. This study can provide guidance for the evaluation and distinguishing of jujube varieties and jujube cultivation and processing. The volatile components of fruits of five jujube varieties cultivated in Xinjiang Province, China, were analyzed using the HS‐SPME‐GC/MS and E‐nose. GC‐MS and E‐nose results were separated by multivariate analysis. This study provides guidance for the selection of raw materials and jujubes processing.

Background The essential oil is one of the main active ingredients of Amomum villosum Lour. However, volatile compounds are easily lost during the drying, storage and even sample preparation procedure. Therefore, using fresh samples can obtain more accurately data for qualitative and comparative analysis. Methods In this study, the volatile compounds in different parts of fresh A. villosum from different origins were systemic analyzed and compared by using cryogenic grinding combined HS–SPME–GC–MS for the first time. GC–MS analyses were performed on a 6890 Series GC instrument coupled to a 5973 N mass spectrometer. The volatile compounds were extracted by the SPME fiber (100 μm PDMS). Analytes separation was achieved on a HP-5MS capillary column. The oven temperature was initially programmed at 70 °C, then raised 4 °C/min to reach 125 °C and then programmed at 0.5 °C/min to 133 °C, then at 6 °C/min to 170 °C and finally, at 20 °C/min to 280 °C held for 2 min. The temperatures of the injection port, ion source and transfer line were set at 250 °C, 230 °C and 280 °C, respectively. Results Forty-eight main compounds were identified in different parts of fresh A. villosum . The most abundant components in fresh fruit samples were camphor (3.91%), bornyl acetate (10.53%), caryophyllene (8.70%), β-bisabolene (11.50%), (E)-nerolidol (14.82%) and cubenol (10.04%). This is quite different with that of dried samples analyzed in our previous work. As different parts of the same plant, many common components with biological activities were detected in fruit and other parts. In principle components analysis (PCA) and hierarchical clustering analysis (HCA), four parts of A. villosum were divided into different groups clearly. Additionally, fruit and root samples also could be divided into two subgroups (HCA) in accordance with their regions. Conclusion The developed method was successfully used for qualitative and comparative analysis of volatile compounds in fresh A. villosum samples. Additionally, using fresh samples can obtain much more information which is helpful for their performance in the fields of functional foods, agriculture and biomedical industry. Furthermore, our research is helpful for comprehensive utilization and quality control of A. villosum .

The present study focused on the determination of color, flavor, taste, and volatile organic compounds (VOCs) changes of shrimp paste fermented for 1, 2, 3, and 8 years by E‐nose, E‐tongue, and headspace solid‐phase microextraction gas chromatography‐mass spectrometry (HS‐SPME‐ GC‐MS). During fermentation, the color of shrimp paste turned dark brown with decreases in L*, a*, and b* values. Inorganic sulfide odor was dominant in all fermented samples. The umami, richness, and aftertaste‐B reached a maximum in year 3 of fermentation. A total of 182 volatiles, including long‐chain alkanes, esters, aldehydes, olefins, ketones, acids, furans, and pyrazines, were detected. Sixteen VOCs including dimethyl disulfide, methional, trimethyl‐pyrazine, (E,E)‐2,4‐heptadienal, benzeneacetaldehyde were selected as flavor markers. Correlation analysis showed that 94 VOCs were related to saltiness while 40, 17, 21, 22, and 24 VOCs contributed to richness, umami, aftertase‐B, sourness, and bitterness, respectively. These novel data may help in optimizing fermentation duration to achieve target flavor indicators in opossum shrimp paste production.

This study was aimed to enhance the extraction yield of propolis samples using ultrasound technology, analyze the volatile compounds, and compare the antioxidant and antimicrobial effect of propolis extracts of different areas. Four propolis samples were collected from different regions of China, namely: Linqing, Shandong Province (LSP); Yingchun, Heilongjiang Province (YHP); Changge, Henan Province (CHP); and Raohe, Heilongjiang Province (RHP). The ultrasound extracts of CHP and RHP showed a higher total phenolic content (TPC) of 201.78 ± 4.60 mgGAE/g and 166.071 ± 1.53 mgGAE/g, total flavonoid content (TFC) of 519.77 ± 29.90 and 341.227 ± 10.82 mg quercetin/g respectively, as well as high antioxidant and antibacterial activity. Conventional extraction showed 15%–20% lower yield for TPC ranging from 72.02 ± 1.99 to 155.95 ± 3.69 mg GAE/g, TFC ranges from 129.675 ± 6.82 to 412.83 ± 12.14 mg quercetin/g, with lower antibacterial activity. The antioxidant activity of propolis extracts was determined by assays of reducing power, DPPH*, FRAP*, TEAC*, hydroxyl radical scavenging activity and superoxide anion scavenging activity. Collectively, the antioxidant activities of extracts from CHP and RHP were higher than those of the other two extracts(YHP and LSP). All the extracts showed high antimicrobial activity on Staphylococcus aureus, Listeria monocytogenes, and Bacillus subtilis, but no effect on Escherichia coli. A total of 150 compounds in propolis were detected by GC/MS. Terpenes (RHP 34%, YHP 5%, LSP 18%, and CHP 12%) and alcohols (RHP 12%, YHP 13%, LSP 12%, and CHP 10%) showed the highest relative content among all other extracts. Novel ultrasonic technology used to enhance yield of phenolic compounds and extract enhanced antimicrobial activity.

Hydroethanolic extracts of coriander seeds (CE), garlic bulbs (GE), and their combination (CGE), were chemically profiled using HS‐SPME/GC–MS and LC‐Q‐TOF/MS–MS to assess volatile composition and to study phenolic molecules, respectively. Biological assays were conducted through in vitro and in vivo experiments to measure the EC50 of the antioxidant assays and the MIC/MBC/MFC values of the antibacterial/antifungal activities. Antioxidant combination Index (CI) and fractional inhibitory concentration index (FICI) values were further recorded. The acute oral toxicity, analgesic, and gastroprotective activities were evaluated in vivo on Wistar rats and Swiss albino mice. Caffeoyl quinic acid, feruloyl‐quinic acid, and caffeic acid derivatives (quercetin, apigenin, and luteolin‐O‐glycoside) together with monoterpene linalool, α‐pinene, and γ‐terpinene were found to be highly present in CE. Organosulfur compounds (allicin, S‐allyl‐l‐cysteine, allin, γ‐Glutamyl‐S‐allylcysteine, and allyl sulfide) were predominant in GE. All the profiled compounds were co‐present in CGE. In vivo assays responded in a dose‐dependent showing better activity mainly at 200 mg kg−1. Chromatographic analysis profiled various phenolic acids, flavonols and derivatives, monoterpene, and organosulfur compounds in the assessed extracts and their combinations. Bioassays' responses were found to be dose‐dependent with better scores recorded with CGE. Thus, a synergetic effect was significantly highlighted. The outcome of the current research suggested that the combination of CE and GE indicated as CGE can exhibit some synergistic effect observed when tested in vitro (antioxidant and antimicrobial activities) and in vivo (analgesic and gastroprotective activities).

•Odors from 3 drugs were analyzed using simultaneous chemical and sensory analysis.•Odors from real drugs were compared to their surrogate scent formulations.•Discrepancies between real and surrogate sample VOC composition and odor are explored.•Odor activity values concept can be useful to evaluate forensic odor in drugs.•There is need to establish odor detection thresholds for unpublished drug VOCs/aromas. This report highlights the importance of an individual chemical's odor impact in the olfactory identification of marijuana, cocaine, and heroin. There are small amounts of highly odorous compounds present in headspace of these drugs, with very low odor detection thresholds, that are more likely responsible for contributing to the overall odor of these drugs. Previous reports of the most abundant compounds in headspace can mislead researchers when dealing with whole odor of these drugs. Surrogate scent formulations, therefore, must match the odor impact of key compounds and not just the chemical abundance of compounds. The objective of this study was to compare odorous volatile organic compounds (VOCs) emitted from illicit drug samples of marijuana, cocaine, and heroin to surrogate smell formulations using simultaneous sensory (via human olfaction) and chemical analyses. Use of solid phase microextraction (SPME) allowed VOCs in drug headspace to be extracted and pre-concentrated on site, and analyzed by multidimensional gas chromatography–mass spectrometry–olfactometry (MDGC–MS-O). Use of MDGC–MS-O allowed for further separation of odorous compounds and simultaneous detection by the human nose of the separate odor parts that make up the total aroma of these drugs. The compounds most abundant in headspace were not the most odor impactful when ranked by odor activity values (OAVs) (defined as ratio of concentration to odor detection threshold, ODT). There were no apparent correlations between concentrations and OAVs. A 1g marijuana surrogate lacked in odor active acids, aldehydes, ethers, hydrocarbons, N-containing, and S-containing VOCs and was overabundant in odor active alcohols and aromatics compared with real marijuana. A 1g cocaine surrogate was overabundant in odor active alcohols, aldehydes, aromatics, esters, ethers, halogenates, hydrocarbons, ketones and N-containing compounds compared with real. A 1g heroin surrogate should contain less odor active acids, alcohols, aromatics, esters, ketones, and N-containing compounds. Drug quantity, age and adulterants can affect VOC emissions and their odor impact. The concept of odor activity value, then, is useful to researchers without access to more sophisticated instrumentation. Odor activity values can be calculated from published odor detection thresholds. More research is warranted to expand the database, and determine odor detection thresholds for compounds of interest. Additional information could be obtained from establishing ODTs of key odorants for canines.

This study explored the key flavor components of fenugreek tinctures from various manufacturers and how these components affect the aromas. Headspace solid‐phase microextraction‐gas chromatography–mass spectrometry (SPME‐GC–MS) and headspace gas chromatography‐ion mobility spectrometry (GC‐IMS) were used to identify the volatile components. The key flavor components were determined by descriptive sensory analysis, multivariate statistical analysis, and odor activity value (OAV). Further analysis was conducted on the correlation for these components with sensory aroma characteristics. The results indicated that the principal aromas of fenugreek tincture samples were burnt and herbal aroma with additional sweet, hay, and balsamic aroma. A total of 148 compounds were identified by GC‐IMS and SPME‐GC–MS including nine key flavor components determined. It was found that benzaldehyde, n‐butyraldehyde, propyl butyrate, 3‐ethyl‐2,5‐dimethylpyrazine, and 2,5‐dimethylpyrazine were positively correlated with burnt, baking, and herb aroma while N‐butyraldehyde was significantly positively correlated with freshness aroma and significantly negatively correlated with spicy aroma. Benzaldehyde was determined to be significantly positively correlated with sweet aroma while 3‐ethyl‐2,5‐dimethylpyrazine and 2,5‐dimethylpyrazine were significantly positively correlated with herbal aroma. The findings of this study can provide indications for quality identification, origin traceability, and extraction process optimization of fenugreek tincture products. This study examines the variations in the key volatile flavor compounds of several fenugreek tincture samples from various sources and their relationship with flavor characterization using GC‐IMS, SPME‐GC–MS, OAV, and DSA. This study elaborates on the intrinsic association between key flavor components and sensory flavor, as well as the contributions of key components to the overall flavor of fenugreek tincture. This work can provide a technical views for future research on the flavor and sensory attributes of fenugreek tincture.

There is a growing demand for alternative protein‐source ingredients from domestically cultivated pulses in Europe, including Sweden. However, the use of legumes as a food ingredient is limited by the presence of a distinct beany flavor. Mapping the volatile compounds composition in a standardized approach will aid in comparing different legume varieties and processing treatments. The composition of volatile compounds in flour from yellow and gray peas (raw and boiled) was investigated and compared. Volatile compounds were isolated by headspace solid‐phase microextraction (HS‐SPME) and analyzed using gas chromatography‐mass spectrophotometry (GC‐MS). A total of 43 volatiles were identified, consisting mostly of aldehydes, followed by alkanes, alcohols, ketones, alkenes, furans, terpenes, aromatics, and sulfur‐containing compounds. Boiling led to a marked reduction in alcohols and an increase in aldehydes. Several markers of beany flavor, such as 1‐octen‐3‐ol, 2‐pentylfuran, and 3,5‐octadien‐2‐one, were significantly decreased after boiling. The composition of volatiles collected from yellow and gray peas was comparable, but boiled yellow pea had a higher abundance of beany flavor as compared to gray pea. Gray pea is an interesting variety to be explored further as a potential alternative to the well‐known yellow pea.

Blue-veined cheese tends to polarize the consumers’ affective responses due to its strong flavor. This study aims to: (i) explore the consumers’ sensory perceptions and liking of Gorgonzola PDO cheese; (ii) identify the sensory drivers of acceptance for Gorgonzola in the function of the cheese style; (iii) characterize them by the volatile organic compounds (VOCs); and (iv) explore the relationships of the VOCs with sensory perception and liking. Six samples of Gorgonzola cheese differing in style (sweet vs. piquant), aging time (70–95 days), and production process (artisanal vs. industrial) were evaluated by 358 subjects (46% males, 18–77 years) using liking and Rate-All-That-Apply (RATA) tests. The cheese VOCs were measured by SPME/GC-MS. Liking was significantly higher for the sweet cheese than for the piquant cheese and for the artisanal cheese than for the industrial samples. Penalty Analysis showed that ‘creamy’, ‘sweet’, ‘nutty’, and ‘salty’ were significant drivers of liking while the ‘soapy’ and ‘ammonia’ flavors turned out to be drivers of disliking. Fifty-three VOCs were identified. Regression models revealed the significant highest associations between the VOCs and ‘ammonia’, ‘pungent’, ‘soapy’, and ‘moldy’ flavors. A good association was also found with the consumers’ liking. The identification of the sensory drivers of (dis) liking and their relationship with the VOCs of Gorgonzola opens up a new understanding of the consumers’ blue-veined cheese preferences.