High resolution mass approaches for wine and oenological products analysis

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High resolution mass approaches for wine and oenological products analysis Barnaba C., Nardin T., Larcher R. IASMA Fondazione Edmund Mach, via E. Mach, 1, 38010 San Michele all Adige, Italy chiara.barnaba@fmach.it

High resolution mass analysis Over 2,400 studies on LC-HRMS in the last 20 years; Almost 50% of them on Orbitrap. Main topic clinic and forensic toxicology omic sciences food safety and control environmental pollution

High resolution mass analysis Non-targeted (NO reference standard) Suspect (NO reference standard) Targeted analysis (reference standard) Suspect ions list Targeted ions list Automated peak detection by exact mass filtering Exact mass (m/z) filtering Exact mass (m/z) filtering Non-targeted ions list Generation of elemental formulae fit by isotopic pattern distribution Molecular structure search in databases Matching of measured RT with predicted RT (theoretical logk ow ) of databse hits Matching of measured MS/MS fragmentation with that predicted for database hits Matching of measured RT with predicted RT(theoretical logk ow ) of suspects Matching of measured MS/MS fragmentation with that predicted for suspects Matching of measured RT with RT of reference standards Matching of measured MS/MS fragmentation with that of reference standards List of likely present unknowns List of likely present suspects Quantification of targets

High resolution mass analysis Non-targeted (NO reference standard) Absence of any a priori information about analytes; Detection criteria (e.g. product scan or NL); Automated peak detection by exact mass filtering Non-targeted ions list Mass accuracy: < 5 ppm; Relative isotopic ratio accuracy: < 5%; Generation of elemental formulae fit by isotopic pattern distribution Molecular structure search in databases Matching of measured RT with predicted RT (theoretical logk ow ) of database hits Matching of measured MS/MS fragmentation with that predicted for database hits Reduced number of recorded experimental spectra; Limited comparability of different source ionization; Ion suppression can affect mass accuracy and number of unknows; Risk of false negatives (e.g. loss during sample preparation). List of likely present unknowns

High resolution mass analysis Suspect (NO reference standard) Suspect ions list Exact mass (m/z) filtering Absence of reference standards, but specific information available; Exact mass from molecular formula of analytes of interest; Mass accuracy: < 5 ppm; Relative isotopic ratio accuracy: < 5%; Reduced number of recorded experimental spectra; Matching of measured RT with predicted RT(theoretical logk ow ) of suspects Matching of measured MS/MS fragmentation with that predicted for suspects Limited comparability of different source ionization; Ion suppression can affect mass accuracy and number of suspects; Risk of false negatives. List of likely present suspects

High resolution mass analysis Targeted analysis (reference standard) Targeted ions list Exact mass (m/z) filtering Identification and quantification through reference standards; No limits in the number of targeted compounds to be identified in the same analytical run; No risks of false negative thanks to method validation with reference standards; Mass accuracy: < 5 ppm; Matching of measured RT with RT of reference standards Relative isotopic ratio accuracy: < 5%; Matching of measured MS/MS fragmentation with that of reference standards Quantification of targets

HRMS applications International monovarietal wines Glycosidic profiling Non-targeted Tannins Glycosylated lowmolecular-weight Suspect Targeted analysis Free low-molecularweight phenolic enrichment Oak agedwines Free and glycosylated lowmolecular-weight Grapes & wines

HRMS applications International monovarietal wines Glycosidic profiling Non-targeted Tannins Glycosylated lowmolecular-weight Suspect Targeted analysis Free low-molecularweight phenolic enrichment Oak agedwines Free and glycosylated lowmolecular-weight Grapes & wines

Non-targeted analysis Glycosides Sugar esters Z = Glycosylation: - Increases compound water solubility; - Protects hydroxyl/phenolic groups from oxidation; - Decreases toxicity of phitotoxins; - Facilitates compound membrane transports; -

Neutral Loss experiment Chromatographic separation Accucore Polar Premium LC C18 Flow rate: 0.300 ml/min; Run time: 55 min. Mass analysis Full MS/AIF/NL dd-ms 2 Full MS resolving power: 140,000 FWHM; AIF and dd- MS/MS resolving power: 17,500 FWHM; NEUTRAL LOSS (Δm/z = 10 ppm) m/z 132.04225 m/z 146.05790 m/z 162.05282 m/z 264.08451 m/z 294.09508 m/z 324.10564

Neutral Loss experiment: tentative identification 282 glycosylated compounds detected: 149 Unknowns 133 glycosides tentatively identified 9 hexose esters

HRMS applications International monovarietal wines Glycosidic profiling Non-targeted Tannins Glycosylated lowmolecular-weight Suspect Targeted analysis Free low-molecularweight phenolic enrichment Oak agedwines Free and glycosylated lowmolecular-weight Grapes & wines

Suspect & targeted analysis Free low-molecular weight phenolic compounds (N=56) Compounds [M H] - RT LOQ NCE MS/MS fragments (m/z) (min) (µg ml -1 Compounds [M H] - LOQ (m/z) RT (min) NCE MS/MS fragments ) (µg ml -1 ) gallic acid 169.0142 5.60 45 125.0244 0.0001 acetovanillone+isoacetovanillone 165.0557 10.69 40 150.0321, 122.0371 0.0001 protocatechuic acid 153.0193 5.76 50 109.0294 0.0001 isopropiosiringone 209.0819 10.81 35 194.0581, 179.0348 0.0011 p -carboxyphenol acid 137.0244 6.14 40 93.0646 0.0001 acetosyringone 195.0662 11.00 30 180.0426, 165.0190 0.0001 gentisic acid 153.0193 6.21 45 109.0295, 108.0217 0.0001 isoacetosiringone 195.0662 11.24 30 180.0426, 165.0190 0.0011 hydroxytyrosol 153.0557 6.28 50 123.0437, 95.0487 0.0005 syringol 153.0557 11.32 50 138.0321, 123.0087 0.0129 vanillic acid 167.0350 6.42 40 152.0114, 123.0452 0.0001 coniferylaldehyde 177.0556 11.51 35 162.0320 0.0001 syringic acid 197.0455 6.57 35 182.0216, 166.9984 0.0001 sinapinaldehyde 207.0663 11.64 35 192.0427, 177.0193 0.0010 caffeic acid 179.0350 6.60 40 135.0452 0.0001 tryptophol 160.0767 11.87 70 142.0659, 130.0660 0.1102 homovanillic acid 181.0506 6.79 45 137.0617, 122.0373 0.0010 o -vanillina 151.0401 12.09 40 136.0152, 123.0083 0.0010 tyrosol 137.0608 6.79 40 119.0502, 106.0426 0.0001 methyl vanillate 181.0506 12.13 40 166.0268, 151.0036 0.0005 protocatechuic aldehyde 137.0244 7.10 60 108.0216, 93.0344 0.0001 (m +p )-cresol 107.0502 12.27 60 79.0551, 65.7207 0.1010 pirocatecolo 109.0295 7.28 80 108.0202, 91.0176 0.0005 4-ethylcatechol 137.0608 12.30 35 122.0374 0.0005 p -coumaric acid 163.0401 7.37 35 119.0502, 93.1266 0.0001 o -cresol 107.0502 12.41 60 82.5568 0.1170 salicylic acid 137.0244 7.72 60 93.0346, 122.0374 0.0001 vanillyl ethyl ether 181.0870 12.67 30 166.0633, 153.0656 0.0010 phenol 93.0345 7.73 100 65.0382 0.1050 guaiacol 123.0451 12.85 70 108.0215, 105.0346 0.0110 catechin 289.0717 7.89 35 245.0805, 221.0812 0.0051 4-methylsyringol 167.0713 12.87 20 152.0478, 137.0243 0.0101 ferulic acid 193.0506 8.17 40 178.0268, 149.0608 0.0001 4-vinylphenol 119.0502 13.60 100 91.0550, 93.0346 0.0112 aesculetin 177.0193 8.48 50 133.0296, 105.0345 0.0001 ethyl vanillate 195.0662 13.69 40 180.0415, 130.9911 0.0006 sinapinic acid 223.0611 8.54 30 208.0373, 179.0714 0.0005 3.4-xylenol 121.0658 13.73 90 119.0503, 96.9445 0.0100 homovanillic alcohol 167.0714 8.78 35 152.0477, 122.0375 0.0051 4-vinylguaiacol 149.0608 14.00 20 134.0375, 87.0088 0.0055 epicatechin 289.0718 9.67 40 245.0805, 221.0812 0.0001 ellagic acid 300.9989 14.00 60 229.0149, 185.0071 3.03 vanillin 151.0401 9.86 40 136.0152, 108.0202 0.0001 4-ethylphenol 121.0658 14.22 90 106.0423, 83.9854 0.1022 coniferyl alcohol 179.0714 10.11 35 164.0478, 121.0296 0.0107 4-methylguaiacol 137.0608 14.37 35 122.0374 0.0105 4-methylcatechol 123.0451 10.18 100 108.0214, 90.0591 0.0005 4-ethylguaiacol 151.0764 14.58 10 136.0529, 121.0293 0.0009 syringaldehyde 181.0506 10.42 40 166.0269, 151.0035 0.0008 4-allyl syringol 193.0870 14.85 10 178.0632, 163.0399 0.0202 isopropiovanillone 179.0714 10.55 40 164.0477, 121.0295 0.0054 eugenol 163.0764 15.11 30 148.0529 0.0087 scopoletin 191.0350 10.66 40 176.0112, 148.0166 0.0010 isoeugenol 163.0764 15.47 30 148.0529, 118.9925 0.0102 Glycosylated low-molecular weight phenolic compounds (N=7) Barnaba et al., J. Chromatography A (2015), 1423, 124-135. Compounds [M H] - (m/z) RT (min) NCE MS/MS fragments (µg ml -1 ) acetovanillone-glu (h) 327.1085 8.40 20 165.0557; 150.0321 0.2800 aesculetin-glu (b) 339.0722 6.8 35 177.01933; 133.0296 0.1100 orcinol-glu (f) 285.0980 6.83 40 123.0452; 108.0214 0.0500 p -hydroxybenzaldehyde-all (f) 283.0823 6.08 100 121.0295; 108.0218 0.1000 salicylic acid-glu (f) 299.0772 5.84 20 137.0244; 93.0344 0.0100 scopoletin-glucoside (h) 353.0878 8.60 20 191.03498; 176.0112 0.1800 vanillic acid-glucoside (h) 329.0878 5.42 20 167.03498; 152.0114 0.2100 LOQ

HRMS applications International monovarietal wines Glycosidic profiling Non-targeted Tannins Glycosylated lowmolecular-weight Suspect Targeted analysis Free low-molecularweight phenolic enrichment Oak agedwines Free and glycosylated lowmolecular-weight Grapes & wines

Suspect & targeted analysis: grapes Hybrid grape varieties Cabernet Cantor Prior Solaris Muscaris Vitis vinifera grape varieties Barnaba et al., Food Res. Intern. (2017), in press. Merlot Chardonnay

Suspect & targeted analysis: wines Primitivo di Manduria (DOP); Negroamaro (IGP). Primitivo di Manduria Negroamaro 2006 2010 2011 2012 2013 12 months in French and American oak barrels 2007 2010 2011 2012 2013 2014 2014 Barnaba et al., Food Chem (2016), 206, 260-266.

HRMS applications International monovarietal wines Glycosidic profiling Non-targeted Tannins Glycosylated lowmolecular-weight Suspect Targeted analysis Free low-molecularweight phenolic enrichment Oak agedwines Free and glycosylated lowmolecular-weight Grapes & wines

Targeted analysis: oak-aged wines Pressurized cold water (NT) Chemical treatment (KOH) (CT) Ozone (OT) Wines were oak-aged Guzzon et al., J. Food Sci. Technol (2017), 54, for 97 days 810-821.

HRMS applications International monovarietal wines Glycosidic profiling Non-targeted Tannins Glycosylated lowmolecular-weight Suspect Targeted analysis Free low-molecularweight phenolic enrichment Oak agedwines Free and glycosylated lowmolecular-weight Grapes & wines

Suspect analysis: tannins

Suspect analysis: tannins 169 glycosylated low-molecular weight phenolic compounds tentatively identified: