1H NMR spectrometry for methanol quantification in apple wines and ciders as optimised by comparison to SIDA-HS-GC-MS. (1st September 2022)
- Record Type:
- Journal Article
- Title:
- 1H NMR spectrometry for methanol quantification in apple wines and ciders as optimised by comparison to SIDA-HS-GC-MS. (1st September 2022)
- Main Title:
- 1H NMR spectrometry for methanol quantification in apple wines and ciders as optimised by comparison to SIDA-HS-GC-MS
- Authors:
- Convertini, Raphael
Patz, Claus
Kumar, Keshav
May, Bianca
Andlauer, Wilfried
Schweiggert, Ralf - Abstract:
- Highlights: 1 H NMR was optimised against SIDA-HS-GC–MS for methanol quantification in alcoholic beverages. A correction factor (Kexternal = 1.2347) improved methanol quantification accuracy by 1 H NMR. 1 H NMR method was successfully validated using reference data from three interlaboratory trials. Method optimization included a reduction of the quantification limit. Methanol in 133 commercial products was quantitated and discussed. Abstract: Methanol, a hepato- and neurotoxic compound, is present in apple-based beverages as a by-product of the enzymatic degradation of pectin. Stable isotope dilution assay (SIDA) employing gas chromatography-mass spectrometry (GC–MS) is the state-of-the-art method for methanol determination in beverages. Despite higher initial investment costs, quantitative 1 H NMR spectroscopy (qNMR) is a simpler and faster analytical technique to quantify numerous analytes in liquid foods. Beyond targeted analyses, qNMR spectral fingerprints in the product might be used for non-targeted analytical goals, such as adulteration and contamination detections. Here, an existing 1 H-qNMR method used for wine profiling was optimised for methanol quantification in apple-based products, including cross-validation against a SIDA-HS-GC–MS method and reference values from interlaboratory trials. The optimisation involved a pivotally important estimation of a correction factor by an external calibration approach, making qNMR results comparable to SIDA-HS-GC–MS. TheHighlights: 1 H NMR was optimised against SIDA-HS-GC–MS for methanol quantification in alcoholic beverages. A correction factor (Kexternal = 1.2347) improved methanol quantification accuracy by 1 H NMR. 1 H NMR method was successfully validated using reference data from three interlaboratory trials. Method optimization included a reduction of the quantification limit. Methanol in 133 commercial products was quantitated and discussed. Abstract: Methanol, a hepato- and neurotoxic compound, is present in apple-based beverages as a by-product of the enzymatic degradation of pectin. Stable isotope dilution assay (SIDA) employing gas chromatography-mass spectrometry (GC–MS) is the state-of-the-art method for methanol determination in beverages. Despite higher initial investment costs, quantitative 1 H NMR spectroscopy (qNMR) is a simpler and faster analytical technique to quantify numerous analytes in liquid foods. Beyond targeted analyses, qNMR spectral fingerprints in the product might be used for non-targeted analytical goals, such as adulteration and contamination detections. Here, an existing 1 H-qNMR method used for wine profiling was optimised for methanol quantification in apple-based products, including cross-validation against a SIDA-HS-GC–MS method and reference values from interlaboratory trials. The optimisation involved a pivotally important estimation of a correction factor by an external calibration approach, making qNMR results comparable to SIDA-HS-GC–MS. The optimised qNMR method is suggested to be an alternative for methanol quantification in beverages. … (more)
- Is Part Of:
- Food chemistry. Volume 387(2022)
- Journal:
- Food chemistry
- Issue:
- Volume 387(2022)
- Issue Display:
- Volume 387, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 387
- Issue:
- 2022
- Issue Sort Value:
- 2022-0387-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-09-01
- Subjects:
- Method optimisation -- 1H NMR -- qNMR -- SIDA-HS -- GC–MS -- Methanol -- Cider -- Pulcon
Food -- Analysis -- Periodicals
Food -- Composition -- Periodicals
664 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03088146 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.foodchem.2022.132912 ↗
- Languages:
- English
- ISSNs:
- 0308-8146
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3977.284000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21466.xml