The Impact of Vineyard Origin and Winery on the Elemental Profile of Red Wines
Applications | 2017 | Agilent TechnologiesInstrumentation
Consumers demand transparency and authenticity in high–value foods and beverages. Wine provenance is a major quality indicator influenced by vineyard soil composition, viticultural practices, and winemaking processes. Elemental profiling by ICP-MS offers a powerful approach to verify geographic origin and detect adulteration, complementing DNA fingerprinting and organic marker analysis.
This study investigated how vineyard origin and winery processing each affect the elemental fingerprints of red wines. Sixty-five monovarietal red wines from five Northern California vineyards were produced in five commercial wineries. Seventeen elements exhibiting significant vineyard-winery interactions were identified and modeled to separate effects of grape growing from winemaking.
Wine samples were collected in metal-free containers after fermentation, diluted to ~4% ethanol in 5% HNO₃, and analyzed in duplicate. A six-point calibration (0–500 µg/L) matched to sample matrix and additional 1:1 000 dilutions for high-concentration elements ensured accurate quantification. Spikes and continuous calibration checks maintained data quality.
Of 63 monitored elements, 46 were detected (recoveries 93–103%). No significant variation was observed between grape cultivars. Analysis of variance identified 33 elements varying by winery, 26 by vineyard, and 17 elements (Be, Na, P, Ti, Zn, As, Rb, Cd, Sb, Cs, La, Pr, Dy, Er, Tm, Yb, Tl) showing significant interaction effects. Canonical variate analysis (CVA) separated samples by combined vineyard-winery factors, illustrating that winemaking practices often exert a stronger influence on elemental composition than vineyard location.
Multielement profiling supports authentication of wine origin, quality control, and detection of potential adulteration. Differentiating vineyard and winery contributions aids producers and regulators in verifying labels and tracing sources, ultimately protecting brand value and consumer trust.
Emerging trends include integrating elemental data with isotopic and metabolomic profiles for robust geographic classification. High-throughput screening and machine learning models will enhance resolution of origin determination. Portable or benchtop ICP-MS instruments may enable on-site verification in wineries and distribution centers.
This study demonstrates that combined vineyard and winery effects can be disentangled through ICP-MS elemental fingerprinting and chemometric modeling. Seventeen key elements serve as markers for origin verification, and winemaking processes play a major role in defining the final elemental profile of red wines.
ICP/MS
IndustriesFood & Agriculture
ManufacturerAgilent Technologies
Summary
Significance of the topic
Consumers demand transparency and authenticity in high–value foods and beverages. Wine provenance is a major quality indicator influenced by vineyard soil composition, viticultural practices, and winemaking processes. Elemental profiling by ICP-MS offers a powerful approach to verify geographic origin and detect adulteration, complementing DNA fingerprinting and organic marker analysis.
Objectives and Study Overview
This study investigated how vineyard origin and winery processing each affect the elemental fingerprints of red wines. Sixty-five monovarietal red wines from five Northern California vineyards were produced in five commercial wineries. Seventeen elements exhibiting significant vineyard-winery interactions were identified and modeled to separate effects of grape growing from winemaking.
Methodology
Wine samples were collected in metal-free containers after fermentation, diluted to ~4% ethanol in 5% HNO₃, and analyzed in duplicate. A six-point calibration (0–500 µg/L) matched to sample matrix and additional 1:1 000 dilutions for high-concentration elements ensured accurate quantification. Spikes and continuous calibration checks maintained data quality.
Instrumentation used
- Agilent 7700x ICP-MS with Octopole Reaction System (ORS3) collision/reaction cell
- Online mixing tee for internal standard addition (⁶Li, Sc, Ge, Y, In, Tb, Bi)
- MicroMist nebulizer and cooled spray chamber
- Agilent ICP-MS MassHunter for data acquisition
- Agilent Mass Profiler Professional for chemometric analysis
Main Results and Discussion
Of 63 monitored elements, 46 were detected (recoveries 93–103%). No significant variation was observed between grape cultivars. Analysis of variance identified 33 elements varying by winery, 26 by vineyard, and 17 elements (Be, Na, P, Ti, Zn, As, Rb, Cd, Sb, Cs, La, Pr, Dy, Er, Tm, Yb, Tl) showing significant interaction effects. Canonical variate analysis (CVA) separated samples by combined vineyard-winery factors, illustrating that winemaking practices often exert a stronger influence on elemental composition than vineyard location.
Benefits and Practical Applications
Multielement profiling supports authentication of wine origin, quality control, and detection of potential adulteration. Differentiating vineyard and winery contributions aids producers and regulators in verifying labels and tracing sources, ultimately protecting brand value and consumer trust.
Future Trends and Applications
Emerging trends include integrating elemental data with isotopic and metabolomic profiles for robust geographic classification. High-throughput screening and machine learning models will enhance resolution of origin determination. Portable or benchtop ICP-MS instruments may enable on-site verification in wineries and distribution centers.
Conclusion
This study demonstrates that combined vineyard and winery effects can be disentangled through ICP-MS elemental fingerprinting and chemometric modeling. Seventeen key elements serve as markers for origin verification, and winemaking processes play a major role in defining the final elemental profile of red wines.
Reference
- Hopfer H, Nelson J, Collins TS, Heymann H, Ebeler SE. The combined impact of vineyard origin and processing winery on the elemental profile of red wines. Food Chem. 2015;172:486–496.
- Baxter MJ, Crews HM, Dennis MJ, Goodall I, Anderson D. The determination of the authenticity of wine from its trace element composition. Food Chem. 1997;60(3):443–450.
- Almeida CMR, Vasconcelos MTSd, Barbaste M, Medina B. ICP-MS multi-element analysis of wine samples—a comparative study of methodologies used in two laboratories. Anal Bioanal Chem. 2002;374(2):314–322.
- Augagneur S, Médina B, Szpunar J, Lobiński R. Determination of rare earth elements in wine by ICP-MS using a microconcentric nebulizer. J Anal At Spectrom. 1996;11:713–721.
- Greenough JD, Longerich HP, Jackson SE. Element fingerprinting of Okanagan Valley wines using ICP-MS: relationships between wine composition, vineyard and wine colour. Aust J Grape Wine Res. 1997;3:75–83.
- Taylor VF, Longerich HP, Greenough JD. Multielement analysis of Canadian wines by ICP-MS and multivariate statistics. J Agric Food Chem. 2003;51:856–860.
- Sperkova J, Suchanek M. Multivariate classification of wines from different Bohemian regions (Czech Republic). Food Chem. 2005;93:659–663.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Elemental Profiling of Whiskey using the Agilent 5100/5110 ICP-OES and MPP Chemometrics Software
2017|Agilent Technologies|Applications
Elemental Profiling of Whiskey using the Agilent 5100/5110 ICP-OES and MPP Chemometrics Software Food authenticity Authors Jenny Nelson1, Greg Gilleland1, Helene Hopfer2,3,4, and Susan E. Ebeler2,3, 1. Agilent Technologies, Inc., Santa Clara, CA, USA Application: Food Authenticity 2. Dept. Viticulture…
Key words
mdl, mdlwhiskey, whiskeyelement, elementelemental, elementalproof, proofwavelength, wavelengthdistillery, distilleryprofiler, profilerprofessional, professionalicp, icpsvdv, svdvoes, oesspike, spikewines, winesblue
Elemental profiling of Malbec Wines for geographical origin using an Agilent 4200 MP-AES
2015|Agilent Technologies|Applications
Elemental profiling of Malbec Wines for geographical origin using an Agilent 4200 MP-AES Application note Food testing Authors Jenny Nelson1-3 Helene Hopfer1-2 Greg Gilleland3 Daniel Cuthbertson3, Roger Boulton1, Susan E. Ebeler1-2 1 Department of Viticulture and Enology, University of California,…
Key words
carlos, carlostupungato, tupungatosan, sanaltamira, altamiraperal, peralnapa, napaluján, lujánmalbec, malbecwines, winesconsulta, consultawine, winegeographical, geographicalcompuertas, compuertasgualtallary, gualtallaryveeder
Using ICP-MS to Determine the Effect of Storage Temperature and Packaging on the Trace Metal Composition of Wine
2017|Agilent Technologies|Applications
Using ICP-MS to Determine the Effect of Storage Temperature and Packaging on the Trace Metal Composition of Wine Application Note Food Testing and Agriculture Authors Helene Hopfer and Susan E. Ebeler Department of Viticulture and Enology University of CaliforniaDavis Davis,…
Key words
wine, winepackaging, packagingstorage, storagescrew, screwcap, capelements, elementselement, elementtrace, tracebag, bagfill, fillcentriprep, centriprepdifferentiator, differentiatorbox, boxelemental, elementalcork
WCPS: Elemental Differences In Single Vineyard Pinot noir Wines From Six Neighborhoods within One Wine Region
2017|Agilent Technologies|Posters
Elemental Differences In Single Vineyard Pinot noir Wines From Six Neighborhoods within One Wine Region EWCPS 2017 77 Helene Hopfer†, Courtney Tanabe‡, Joshua Godshaw‡, Susan E. Ebeler‡§, Jenny Nelson‡§¶, Roger B. Boulton‡ † Dept. Food Science, Penn State; ‡ Dept.…
Key words
neighborhood, neighborhoodelemental, elementaldgv, dgvdlr, dlrdsh, dshwine, winedmr, dmrneighborhoods, neighborhoodselements, elementsdifferences, differencesdsp, dspratios, ratiosgeographical, geographicalwines, winesratio