scholarly journals Identification of the Volatile Compounds and Sensory Attributes of Long-Term Aging Vin Santo Wine from Malvasia di Candia Aromatic Grapes

Foods ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1736
Author(s):  
Monica Laureati ◽  
Camilla Cattaneo ◽  
Fernando Tateo ◽  
Monica Bononi
Keyword(s):  
Gas Chromatography ◽  
Volatile Compounds ◽  
Sensory Attributes ◽  
Sensory Properties ◽  
Partial Least Square ◽  
Least Square ◽  
Sensory Profile ◽  
Gas Chromatography Mass Spectrometry ◽  
The Relationship

In an effort to offer a contribution to fill the gap of knowledge about the relationship between the sensory properties and aromatic profile of Malvasia grapes, the present work was aimed at evaluating volatile compounds, aroma, and sensory attributes of long-term aging (15 years) Vin Santo wine obtained from Malvasia di Candia aromatica grapes. In this article, the aromatic profile are studied using gas chromatography-mass spectrometry (GC-MS), gas chromatography with flame ionization detection (GC-FID), and sensory analysis by involving a panel of trained assessors to explore the sensory profile resulting after long-term aging (up to 15 years). The GC-MS and GC-FID analyses of wines allowed the identification and semi-quantification of twenty-seven volatiles belonging to 12 conventional groups of compounds. From a sensory perspective, the Vin Santo wines analyzed in this study presented a very complex sensory profile characterized by 19 sensory descriptors of which 14 related to olfactory terms. The relationship between sensory and GC-FID data deduced from three samples representing nearly three years in the past 15 years was investigated by means of Partial Least Square (PLS) modeling, showing that specific volatile compounds could predict a specific orthonasal and/or retronasal odor perceived by the trained panel of assessors, clearly differentiating the Vin Santo vintages. Identifying the main volatiles and aromas of long-term Vin Santo wine may be helpful to winemakers, since wine aging sensory properties are often associated with a prestigious image and contribute to defining wine quality.

scholarly journals Impact of Bottle Aging on the Composition and Sensory Properties of Flavored Chardonnay and Shiraz Wines

Foods ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1208
Author(s):  
Yaelle Saltman ◽  
Julie A. Culbert ◽  
Trent E. Johnson ◽  
Renata Ristic ◽  
Kerry L. Wilkinson ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Volatile Compounds ◽  
Descriptive Analysis ◽  
Sensory Attributes ◽  
Sensory Properties ◽  
Gas Chromatography Mass Spectrometry ◽  
Wine Aroma ◽  
Bottle Aging ◽  
Sensory Profiles

Natural flavorings could potentially be used to enhance the intensity of wine aroma and flavor; albeit since flavor additives are not legally permitted winemaking aids, flavored wines would need to be labeled as wine products. In this study, changes in the composition and sensory profiles of flavored Chardonnay (n = 2) and Shiraz (n = 2) wines were compared at bottling, and then again after 12 months of bottle aging. Flavorings and flavored wines were also analyzed by gas chromatography-mass spectrometry (GC-MS) to determine the key constituents responsible for changes to aroma and flavor profiles. However, many of the volatile compounds identified in flavor additives were not detected at appreciably higher concentrations in flavored wines, which was attributed to the very small quantities of flavorings that were added to base wines. The sensory profiles of control and flavored wines were determined by descriptive analysis, and the addition of flavorings to base wines significantly influenced the perception of some sensory attributes. Flavored Chardonnay wines exhibited enhanced fruit aromas and flavors, while fruit and developed attributes were enhanced in flavored Shiraz wines. Differences in sensory profiles were less apparent in Chardonnay wines following bottle aging, but depending on the flavorings added, flavored Shiraz wines could still be discriminated from their corresponding control wines after bottle aging. Results from this study demonstrate the potential for flavor additives to be used to enhance desirable attributes and/or mitigate wine sensory deficiencies.

scholarly journals Characterization of α-Glucosidase Inhibitors from Clinacanthus nutans Lindau Leaves by Gas Chromatography-Mass Spectrometry-Based Metabolomics and Molecular Docking Simulation

Molecules ◽  
2018 ◽  
Vol 23 (9) ◽  
pp. 2402 ◽  
Author(s):  
Suganya Murugesu ◽  
Zalikha Ibrahim ◽  
Qamar-Uddin Ahmed ◽  
Nik-Idris Nik Yusoff ◽  
Bisha-Fathamah Uzir ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Molecular Docking ◽  
Acid Methyl Ester ◽  
Docking Simulation ◽  
Partial Least Square ◽  
Least Square ◽  
Gas Chromatography Mass Spectrometry ◽  
Glucosidase Inhibitors ◽  
Clinacanthus Nutans

Background: Clinacanthus nutans (C. nutans) is an Acanthaceae herbal shrub traditionally consumed to treat various diseases including diabetes in Malaysia. This study was designed to evaluate the α-glucosidase inhibitory activity of C. nutans leaves extracts, and to identify the metabolites responsible for the bioactivity. Methods: Crude extract obtained from the dried leaves using 80% methanolic solution was further partitioned using different polarity solvents. The resultant extracts were investigated for their α-glucosidase inhibitory potential followed by metabolites profiling using the gas chromatography tandem with mass spectrometry (GC-MS). Results: Multivariate data analysis was developed by correlating the bioactivity, and GC-MS data generated a suitable partial least square (PLS) model resulting in 11 bioactive compounds, namely, palmitic acid, phytol, hexadecanoic acid (methyl ester), 1-monopalmitin, stigmast-5-ene, pentadecanoic acid, heptadecanoic acid, 1-linolenoylglycerol, glycerol monostearate, alpha-tocospiro B, and stigmasterol. In-silico study via molecular docking was carried out using the crystal structure Saccharomyces cerevisiae isomaltase (PDB code: 3A4A). Interactions between the inhibitors and the protein were predicted involving residues, namely LYS156, THR310, PRO312, LEU313, GLU411, and ASN415 with hydrogen bond, while PHE314 and ARG315 with hydrophobic bonding. Conclusion: The study provides informative data on the potential α-glucosidase inhibitors identified in C. nutans leaves, indicating the plant’s therapeutic effect to manage hyperglycemia.

scholarly journals Detecting Pulmonary Oxygen Toxicity Using eNose Technology and Associations between Electronic Nose and Gas Chromatography–Mass Spectrometry Data

Metabolites ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 286
Author(s):  
Thijs T. Wingelaar ◽  
Paul Brinkman ◽  
Rianne de Vries ◽  
Pieter-Jan A.M. van Ooij ◽  
Rigo Hoencamp ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Electronic Nose ◽  
Oxygen Toxicity ◽  
Partial Least Square ◽  
Least Square ◽  
Sensor Data ◽  
Gas Chromatography Mass Spectrometry ◽  
Exhaled Breath ◽  
Chromatography Mass Spectrometry

Exposure to oxygen under increased atmospheric pressures can induce pulmonary oxygen toxicity (POT). Exhaled breath analysis using gas chromatography–mass spectrometry (GC–MS) has revealed that volatile organic compounds (VOCs) are associated with inflammation and lipoperoxidation after hyperbaric–hyperoxic exposure. Electronic nose (eNose) technology would be more suited for the detection of POT, since it is less time and resource consuming. However, it is unknown whether eNose technology can detect POT and whether eNose sensor data can be associated with VOCs of interest. In this randomized cross-over trial, the exhaled breath from divers who had made two dives of 1 h to 192.5 kPa (a depth of 9 m) with either 100% oxygen or compressed air was analyzed, at several time points, using GC–MS and eNose. We used a partial least square discriminant analysis, eNose discriminated oxygen and air dives at 30 min post dive with an area under the receiver operating characteristics curve of 79.9% (95%CI: 61.1–98.6; p = 0.003). A two-way orthogonal partial least square regression (O2PLS) model analysis revealed an R² of 0.50 between targeted VOCs obtained by GC–MS and eNose sensor data. The contribution of each sensor to the detection of targeted VOCs was also assessed using O2PLS. When all GC–MS fragments were included in the O2PLS model, this resulted in an R² of 0.08. Thus, eNose could detect POT 30 min post dive, and the correlation between targeted VOCs and eNose data could be assessed using O2PLS.

Relationship between Challenges Militating against Mortgage Finance and Benefits of Mortgage Acquisition in Ghana: Case of SSNIT

2021 ◽  
Vol 15 (2) ◽  
pp. 55-65
Author(s):  
Augustine Senanu Komla Kukah ◽  
Andrew Anafo ◽  
Luckman Hassan Abdul ◽  
Andrew Victor Kabenlah Blay Jnr ◽  
David Nartey Korda ◽  
...  
Keyword(s):  
Low Income ◽  
Structural Equation ◽  
Mortgage Market ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Mortgage Finance ◽  
Macroeconomic Instability ◽  
The Relationship

Past studies on the mortgage market of Ghana evidenced that absence of long-term sources of housing funds, low-income levels, macroeconomic instability, inability to assess the creditworthiness of prospective mortgagors among others plague the development of Ghana’s mortgage market. Therefore, this study was conducted to evaluate the relationship between challenges militating against mortgage finance and benefits of mortgage acquisition in Ghana. Questionnaires were used to elicit responses from respondents. Convenience sampling technique was used to select one hundred (100) respondents comprising staff at SSNIT Head Office in Accra, SSNIT contributors, beneficiaries of SSNIT funds, mortgage applicants, owners and occupants of SSNIT flats. Mean score ranking, Cronbach’s Alpha coefficient, one sample t-test and Partial Least Square Structural Equation Modeling (PLS-SEM) were the analytical tools adopted. Dollarization of mortgage markets, access to funding for the scheme, macroeconomic instability and inability to assess creditworthiness of mortgage applicant were the most significant challenges. The most significant benefits were: (1) increase in the rate of house construction; (2) ability to provide a relatively low-interest credit; (3) capacity to mitigate housing deficits; and (4) capability to provide a relatively long-term credit for housing. Structural Equation Model was developed to evaluate the relationship between the challenges and benefits. The study is beneficial to stakeholders such as policymakers, financial institutions, Ghana Real Estate Developers Association (GREDA) and SSNIT contributors. This work is a pioneering study in Ghana on the relationship between challenges SSNIT encounters in mortgage financing and benefits of acquiring mortgage facilities with the assistance of SSNIT.

scholarly journals Nexus Between Islamic Spiritual Value, Cognitive Dissonance, Perceived Social Status, and Business Longevity

2020 ◽  
Vol 10 (1) ◽  
pp. 1-18
Author(s):  
Muafi Muafi
Keyword(s):  
Social Status ◽  
Cognitive Dissonance ◽  
Sampling Technique ◽  
Partial Least Square ◽  
Least Square ◽  
Policy And Practice ◽  
Analysis Technique ◽  
Perceived Social Status ◽  
The Relationship

This research aims to analyses the relationship pattern between Islamic spiritual value, cognitive dissonance, perceived social status, and business longevity. The research object is in East Java Province and Special Region of Yogyakarta Province, Indonesia. The sampling technique is using purposive sampling with the respondents in those two areas. The data analysis technique is using Partial Least Square. The findings of this research are: first, Islamic Spiritual value can minimize the occurrence of employee supervisors’ Cognitive dissonance and can improve business longevity. Second, cognitive dissonance and can improve perceived social status. Third, Perceived Social Status can improve business longevity. This research provides theory contribution and development that includes Islamic spiritual value, cognitive dissonance, perceived social status, and business longevity. The company can create policy and practice related to Islamic spiritual value, cognitive dissonance, perceived social status, and business longevity so that it can compete in the long term. This research connects the aspect of business longevity with Islamic spiritual value, cognitive dissonance, and perceived social status which is still rare to find. 

scholarly journals Effects of pH and Cultivation Time on the Formation of Styrene and Volatile Compounds by Penicillium expansum

Molecules ◽  
2019 ◽  
Vol 24 (7) ◽  
pp. 1333
Author(s):  
Hye Kim ◽  
Sang Lee ◽  
Jeong-Ah Seo ◽  
Young-Suk Kim
Keyword(s):  
Volatile Compounds ◽  
Critical Factor ◽  
Partial Least Square ◽  
Least Square ◽  
Stir Bar Sorptive Extraction ◽  
Penicillium Expansum ◽  
Gas Chromatography Mass Spectrometry ◽  
Postharvest Diseases ◽  
Potato Dextrose Broth ◽  
Cultivation Time

Styrene can be formed by the microbial metabolism of bacteria and fungi. In our previous study, styrene was determined as a spoilage marker of Fuji apples decayed by Penicillium expansum, which is responsible for postharvest diseases. In the present study, P. expansum was cultivated in potato dextrose broth added with phenylalanine—which is a precursor of styrene—using different initial pH values and cultivation times. Volatile compounds were extracted and analyzed using gas chromatography-mass spectrometry (GC-MS) combined with stir-bar sorptive extraction. The 76 detected volatile compounds included 3-methylbutan-1-ol, 3-methyl butanal, oct-1-en-3-ol, geosmin, nonanal, hexanal, and γ-decalactone. In particular, the formation of 10 volatile compounds derived from phenylalanine (including styrene and 2-phenylethanol) showed different patterns according to pH and the cultivation time. Partial least square-discriminant analysis (PLS-DA) plots indicated that the volatile compounds were affected more by pH than by the cultivation time. These results indicated that an acidic pH enhances the formation of styrene and that pH could be a critical factor in the production of styrene by P. expansum. This is the first study to analyze volatile compounds produced by P. expansum according to pH and cultivation time and to determine their effects on the formation of styrene.

scholarly journals A multi internal standard calibration approach for the automated and robust analysis of wine volatiles by headspace Solid Phase Microextraction and further Gas Chromatography-Mass Spectrometry

1970 ◽  
pp. 34
Author(s):  
P. Herrero ◽  
J. Zapata ◽  
J. Cacho ◽  
Vicente Ferreira
Keyword(s):  
Volatile Compounds ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Relative Weight ◽  
Experimental Parameter ◽  
Internal Standard ◽  
Partial Least Square ◽  
Least Square ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Constituents

Head space solid phase microextraction (HS-SPME) is a solvent-free technique that allows an almost complete automatization and getting amazing sensitivities. The hidden risk of SPME lies in the fact that as the amount of analyte extracted is very low; it is extremely sensitive to any experimental parameter that may affect the liquid-gas and gas-solid distribution coefficients. Our aims are to measure the relative weight of these factors on the lack of accuracy, and to design a robust calibration system able to avoid or limit their effects.For the first goal, synthetic but real-like wines containing a fixed amount of selected analytes (70) and variable amounts of ethanol, non-volatile constituents and major volatile constituents were prepared following a 3-Factor complete Factorial design. The study of the relevance of the Factors carried out by analysis of variance (ANOVA) and by Principal Component Analysis revealed that the levels of major volatile constituents affected the extraction of most analytes, while ethanol and matrix affected particularly low volatile compounds. Lipophilic esters are most influenced by major volatile compounds, while acids, phenols and lactones are affected by the non-volatile matrix.13 different internal standard compounds belonging to different chemical classes were used in the calibration experiment. This was similar to the aforementioned experiment, but including as well 5 different concentration levels. In 29 out of 65 cases, a single internal standard provided a robust calibration guaranteeing an accuracy better than 10%, while in others a Partial Least Square Regression analysis was run in order to find a model able to provide maxima accuracy. Satisfactory models in terms of precision, linearity and recovery could be built for 30 other compounds, so that the method can quantify up to 59 relevant wine volatile compounds.

scholarly journals Gas Chromatography-Mass Spectrometry Coupled with Multivariate Statistical Analysis to Identify the Alpha Glucosidase Inhibitors from Flesh of Salacca zalacca Fruits and Their Molecular Docking Studies

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Mohammed S. M. Saleh ◽  
Mohammad Jamshed Siddiqui ◽  
Nabil Ali Al-Mekhlafi ◽  
Hussah Abdullah Alshwyeh ◽  
Ahmed Mediani ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Molecular Docking ◽  
Palmitic Acid ◽  
Partial Least Square ◽  
Least Square ◽  
Gas Chromatography Mass Spectrometry ◽  
Bioactive Metabolites ◽  
Inhibition Activity ◽  
Chromatography Mass Spectrometry

Fruit of salak (Salaaca zalacca) is traditionally used and commercialized as an antidiabetic agent. However, scientific evidence to prove this folk claim is quite lacking. Therefore, this research was aimed to evaluate the α-glucosidase inhibition activity of S. zalacca fruit and identify the bioactive compounds. The fruits were extracted by different ratios of ethanol and water (0, 20, 40, 60, 80, 100%, v/v) to get E0 (100% water), E20 (20% ethanol), E40 (40% ethanol), E60 (60% ethanol), E80 (80% ethanol), and E100 (100% ethanol) extracts. The extracts obtained were subjected to the α-glucosidase inhibitory assay. Gas chromatography-mass spectrometry- (GC-MS-) based metabolomics approach was used in profiling the bioactive metabolites present in the extracts. Orthogonal partial least square (OPLS) was used to correlate GC-MS data and α-glucosidase assay results to identify the possible chemical markers. All active compounds identified were subjected to molecular docking. The extracts from the S. zalacca fruit showed potent inhibition activity against α-glucosidase. The IC50 values from the α-glucosidase inhibitory assay ranged between 16 and 275 µg/ml. Overall, E60 displayed significantly higher α-glucosidase inhibition activity, while E0 showed the lowest α-glucosidase inhibition activity. Major compounds detected in S. zalacca fruits were sugars, fatty acids, and sterols, including myo-inositol, palmitic acid, stearic acid, and β-sitosterol. Moreover, the results obtained from molecular docking indicated that palmitic acid and β-sitosterol were close to the active side of the enzyme. Some of the residues that interacted include HID295, ASN259, LEU313, LYS125, PHE159, VAL216, PHE178, TYR72, TYR158, HIE315, ARG315, and PHE303. The bioassay result strongly suggests that E60 extract from S. zalacca fruits has potential α-glucosidase inhibitory activity. The hydrophobic compounds, including palmitic acid and β-sitosterol, were found to induce the α-glucosidase inhibition activity.

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