High Performance Thing Layer Chromatographic (HPTLC) analysis of polyphenolic composition in wine samples

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High Performance Thing Layer Chromatographic (HPTLC) analysis of polyphenolic composition in wine samples 1 A/prof Snezana Agatonovic-Kustrin Dr David W. Morton Chandima Hettiarachchi

Common antioxidants presence in red wine 4

Beneficial effects of moderate consumption of wine Lower total cholesterol Lower blood pressure Reduce platelet aggregation Reduce risks of cancer stimulate the immune system 5

The aims of the study... to develop and optimise a simple HPTLC method to compare and to quantify gallic acid, caffeic acid, resveratrol and rutin in wine samples HO COOH HO H OH HO Caffeic acid OH H Resveratrol OH HO O OH HO OH OH O Rutin OH HO Gallic acid COOH 6

The aims of the study... to compare the quantities of investigated phenolic compounds with the total antioxidant capacity of wines to relate phenolic composition to the different geographic locations and grape variety to see if there was a significant correlation. TAC - The overall ability of scavenging free radicals TPC the amount of phenolic compounds presence 7

The aims of the study... to inves*gate whether there is a sta*s*cal correla*on between TAC and TPC of the wine samples. conflic*ng data exist about the correla*on between the an*oxidant capacity and the phenolic contents in wine. 8

Methodology Sampling total of 45 wine samples (43 red wines and 2 white wines) collected from different regions of Australia (35) and overseas (10). 9

HPTLC Method Samples were spotted in the form of band using a Linomat 5 applicator on silica gel 60F-254 HPTLC plates A two step (9:5) gradient elution method was developed using dichloromethane: methanol: formic acid (7.5: 2.0: 0.75) and sodium dodecyl sulphate: n butanol: water: n heptane (8g: 25 ml: 8 ml: 160 ml)) 10

HPTLC Method... Images of plates were captured using a TLC-Visualiser under 366 nm before and after spraying with natural reagent Digitised images of chromatograms were evaluated using WinCATS determine the peak areas present on the HPTLC plate. 11

Total phenolic content (TPC) Folin s colorimetric method was used to determine TPC and express phenolic concentra*on as gallic acid equvalents TAC was determined using Randox an*oxidant kit. This method is based on producing a free radicals using peroxidase and hydrogen peroxide, which give a greenish blue colour. Addi*on of the wine sample suppress this colour propor*onally to the an*oxidant capacity of the sample 12

Before derivatization

Results HPTLC chromatograms of wine samples 14

Peak height R f

Calibration Peak area (pixels) 800000 600000 400000 200000 0 0 0,1 0,2 0,3 0,4 0,5 Applied amounts of Caffeic acid (µg) Peak area (pixels) 200000 150000 100000 50000 0 0 0,5 1 1,5 2 Applied amount of Gallic acid (µg) Peak area (pixels) 250000 200000 150000 100000 50000 0 0 1 2 3 4 5 6 Applied amounts of Resveratrol (µg) Peak area in pixels 200000 150000 100000 50000 0 0 0,1 0,2 0,3 0,4 0,5 Applied amounts of Rutin (µg) 16

Sample No Type Grape variety Region Caffeic acid Gallic acid Resveratrol Rutin (mg/l) TAC (mg/l) TPC GAE 1 Red Cab. Merlot NSW 2.07 29.66 0.00 0.00 125 1244 2 White Muscat VIC 0.25 2.36 0.00 0.00 8 77 3 Red Durif VIC 1.26 28.93 1.91 0.00 253 1969 4 Red Shiraz VIC 1.40 22.61 1.86 0.00 249 1718 5 Red Shiraz, Cab. Adelaide 0.83 8.74 1.25 0.00 293 1480 6 Red Merlot VIC 1.66 75.89 0.00 0.00 102 1369 7 Red Shiraz South Africa 1.87 16.79 0.00 0.00 193 6319 8 Red Shiraz VIC 2.60 8.84 0.00 0.00 190 1246 9 Red Cabernet VIC 2.26 12.48 1.63 2.42 102 1123 10 Red Zinfandel California 2.47 10.27 0.00 0.00 197 1885 11 White Chardonnay VIC 0.05 0.15 0.00 0.52 0 83 12 Red Cab.Merlot VIC 1.87 56.33 0.19 0.93 174 1714 13 Red Shiraz Merlot Adelaide 1.26 36.89 0.00 1.16 292 1721 14 Red Shiraz SA 0.96 19.70 0.00 0.73 373 965 15 Red Shiraz VIC 2.11 34.19 0.00 0.69 173 1329 16 Red Shiraz Cab. SA 5.02 67.13 3.42 5.58 181 2145 17 Red Shiraz Cab. VIC 7.78 28.88 1.39 3.69 232 1141 18 Red Shiraz Cab. VIC 5.44 41.22 1.23 2.23 247 17 1405 19 Red Shiraz NSW 2.24 29.89 3.02 2.68 270 1451 20 Red Cab. Sauvignon WA 3.68 34.74 0.00 8.58 329 1668

Sample No Type Grape variety Region Caffeic acid (mg/l) Gallic acid (mg/l) Resverat rol (mg/l) Rutin (mg/l) TAC (mg/l) 21 Red Cabernet Sauvignon NSW 1.38 23.68 0.00 0.00 202 1097 22 Red Petit Verdot NSW 3.07 37.31 0.00 0.00 215 1296 23 Red Cabernet Sauvignon NSW 2.83 16.22 0.00 0.00 281 1097 24 Red Cienna VIC 0.34 7.10 0.00 0.00 201 1402 25 Red Dolcetto Italy 0.77 10.66 0.00 2.44 173 1350 Merlot, Cabernet 0.66 19.18 0.00 1.02 26 Red Sauvignon France 185 2015 Prunesta, Malvasia 0.27 26.72 0.00 1.42 27 Red Nera Italy 188 1685 28 Red Shiraz SA 1.78 41.71 0.00 0.00 384 1734 29 Red Shiraz Cabernet SA 1.01 36.17 0.00 0.89 211 1693 30 Red Merlot WA 1.87 31.30 0.00 0.00 109 910 31 Red Merlot VIC 1.53 33.67 0.00 0.00 189 1648 32 Red Pinot Noir France 1.61 52.93 0.00 0.00 154 1781 33 Red Primitivo Italy 0.31 7.54 0.00 0.11 135 941 34 Red Primitivo Italy 0.31 5.52 0.00 0.09 133 896 35 Red Cabernet Sauvignon SA 2.85 45.33 0.00 0.00 326 2017 36 Red Shiraz 2.33 40.78 0.98 9.40 197 1304 37 Red Shiraz SA 3.08 71.38 2.13 0.00 443 182303 38 Red Chambourcin, Shiraz NSW 1.95 38.53 0.73 0.00 203 1671 39 Red Cabernet Sauvignon SA 7.23 56.18 1.85 0.00 288 1733 40 Red Merlot SA 3.63 39.55 1.85 0.00 272 1714 TPC GAE (mg/l)

Correlation between TAC and TPC TPC 2400 2200 2000 1800 1600 1400 1200 1000 800 600 400 200 #2 #1 TPC = 764.6 + 3.1 x TAC r = 0.62 #38 #36 #37 #35 #34 #33 #27 #22 #25#26 #24 #29#28 #31 #30 #32 #23 #17 #18 #19 #20#21 #15 #16 #14 #11 #12 #13 #9 #7 #10 #8 #4 #3 #5 #6 #39 0 0 100 200 300 400 500 TAC 19

Correlation between caffeic acid, gallic acid resveratrol and rutin with TAC and TPC Merlot and Merlot Cabernet wines have a lower antioxidant capacity and a higher total phenolic content Rutin and resveratrol were found in most Shiraz varieties. Shiraz wines from the colder climate have lower TPC but higher TAC and undetectable resveretrol,but contain rutin. Italian wines have the highest correlation between TPC and TAC (r = 0.99), do not contain detectable resveratrol, but all have rutin. Antioxidant properties might be associated with the presence of flavanols. Caffeic Gallic Resveratrol Rutin Average (mg/l) 2.15 30.18 0.59 2.45 RSD (%) 0.80 0.62 1.59 1.91 r (TAC) 0.33 0.35 0.28 0.08 r (TPC) 0.27 0.58 0.35 0.03 20

ANN modelling!! MLP (5 : 4 : 2) Categorical inputs: wine type, grape variety and wine origin Continuous inputs: amounts of 4 polyphenols Inputs ranking Wine origin Grape variety Wine type Ru*n Resveratrol TAC TPC Correlation 0.85 0.76

Conclusions Different phenolic compounds have different antioxidant properties. The antioxidant activity of phenolic acids is related to the acid moiety and the number and relative positions of hydroxyl groups on the aromatic ring. Hydroxycinnamic acids (like caffeic acid) are more effective antioxidants than hydroxybenzoic acids (gallic acid) 22

Conclusions... HPTLC chromatography may not have the same sensitivity as HPLC but is simple to run and multiple wine samples could be analysed and compared on the same plate. TLC is the only chromatographic method offering the choice of presenting the results as an image. HPTLC could provide extremely rapid screening and comparison of wine samples. It does not require sample preparation, analysis time is short and multiple samples can be analysed and compared simultaneously 23

Thank You 24