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Wine is a widely consumed beverage due to its unique and pleasant sensory properties. Wine is composed of more than one thousand chemical compounds (e.g., alcohols, esters, acids, terpenoids, phenolic compounds, flavonoids, anthocyanins, minerals, and vitamins, among others) resulting from several chemical and biochemical processes. Microextraction techniques in tandem with high-resolution analytical instruments have been applied by wine researchers to expand the knowledge of wine’s chemical composition with the purposes of improving wine quality, supporting winemaker decisions related to the winemaking process, and guaranteeing the authenticity of wine. As a result, we proposed “Chemical/Instrumental Approaches to the Evaluation of Wine Chemistry” as a topic for a Special Issue in Molecules. This Special Issue aims to provide an update on state-of-the-art extraction procedures (e.g., solid-phase microextraction (SPME)) and analytical tools (e.g., nuclear magnetic resonance (NMR), inductively coupled plasma mass spectrometry (ICP-MS), ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS)), emphasizing their use as suitable platforms for the establishment of the chemical composition of wine (volatomic profile, antioxidants, phenolic pattern, and elemental composition, among others). Information related to wine sensorial properties, contaminants, authenticity, and chemometric tools used for data treatment are described in this Issue.
dessert wine --- ionic exchange resin --- hydrogels --- metals --- atomic absorption --- trace elements --- health risk assessment --- estimated daily intake --- ICP-MS --- Chinese wine --- Bee pollen --- biological aging --- activator --- sherry wine --- mannoprotein --- arabinogalactan --- seed tannin --- aggregation --- nanoparticle tracking analysis --- wine --- VOCs --- potential odorants --- HS–SPME --- GC–qMS --- Brettanomyces --- cyclodextrins --- gas chromatography-mass spectrometry --- nuclear magnetic resonance --- smoke taint --- volatile phenols --- wine --- wine --- Primula veris L. --- cowslip --- health potential --- flavonoids --- anthocyanins --- triterpenoid saponins --- antioxidant activity --- sweeteners --- photo-diode array detector (PDA) --- charged aerosol detection (CAD) --- white spirits --- n/a
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Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities, bonds, currencies, and derivative securities.
falsified products --- medication --- health risk --- low-income country --- regular vine copulas --- tree structures --- co-dependence modelling --- European stock markets --- carbon emissions --- fossil fuels --- crude oil --- coal --- low carbon targets --- green energy --- spot and futures prices --- Granger causality --- volatility spillovers --- quasi likelihood ratio (QLR) test --- diagonal BEKK --- full BEKK --- dynamic hedging --- socially responsible investment --- multivariate regime-switching --- time-varying correlations --- volatility transmission --- conscientiousness --- openness to experience --- perceived ease of use --- perceived usefulness --- online purchase intention --- dynamic conditional correlation --- generalized autoregressive score functions --- time-varying copula function --- CoVaR --- utility --- credit derivatives --- stochastic volatility --- asymptotic approximation --- risk aversion --- portfolio selection --- need hierarchy theory --- two-level optimization --- variance --- coherent risk measures --- probability of default --- bank risk --- banking regulation --- SYMBOL --- financial stability --- China’s food policy --- sustainable food security system --- japonica rice production --- two-level CES function --- technological progress --- Project Financing --- Mezzanine Financing --- option value --- Monte Carlo Simulations --- probabilistic cash flow --- optimizing financial model --- risks mitigation --- investment profitability --- financial hazard map --- random forests --- early warning system --- bank failure --- B-splines --- inflation forecast --- monthly CPI data --- out-of-sample forecast --- the sudden stop of capital inflow --- financial security --- the optimal scale of foreign exchange reserve --- utility maximization --- finance risk --- liquidity premium --- uncertainty termination --- investment horizon --- Amihud’s illiquidity ratio --- factor models --- diversification --- bank profitability --- bank risk --- dynamic panel --- European banking system --- sustainability of economic recovery --- Bayesian approach --- conjugate prior --- cartel --- leniency program --- policy simulation --- S&P 500 index options --- gain-loss ratio --- risk-neutral distribution --- binomial tree --- risk management --- market timing --- moving averages --- risk-free rate --- returns and volatility --- financial risk --- bankruptcy --- regression model --- sustainable development --- Slovak enterprises --- sentiment analysis --- polarity --- scientific verification --- emotion --- joy --- sadness --- climate change --- GMC --- VIX --- RV5MIN --- causal path --- ANN --- sovereign credit default swap (SCDS) --- emerging market --- markov regime switching --- credit risk --- risk assessment --- risk measures --- IPO underpricing --- financial crisis --- information asymmetry --- financial risks --- business groups --- financial performance --- group-affiliated --- institutional voids --- production frontier function --- stochastic frontier model --- specification testing --- wild bootstrap --- smoothing process --- empirical process --- simulations --- stakeholder theory --- sustainability --- risk --- social efficiency --- banking --- cooperative banks --- Data Envelopment Analysis (DEA) --- corporate sustainability --- news release --- stakeholder theory --- stock return volatility --- EGARCH-m --- life insurance --- term life insurance --- whole life insurance --- self-perceived health --- objective health status --- future health risk --- SHARE --- national health system
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