Studies Of Fingerprints On The Greatwall Huaxia97Red Wine

The aroma of wine can be mainly divided into three parts, raw material, fermentationand aged. They are variable and made from approximately eight hundred volatile substance,which is including alcohol, ester, volatile acid, aldehyde, volatile phenols, terpenoidcompounds, aromatic ketones etc. Moreover, the content varied from a few nanograms(aromatic ketone) to hundreds of milligrams (alcohol) per liter, with different kinds ofchemical characteristic. Therefore, establishing a stable and reliable fingerprint method andaroma fingerprint database not only can estimate the fermentation aged and provide moresupporting statistics to its improvement and quality control, but also can distinguish the trueand fake wines on the market. In view of the above, this paper takes The Great Wall97as anexample, which is one of the best selling wines in China, to establish the aroma fingerprintdatabase and study in depth.It comes out that:(1) Liquid-liquid extraction: created a vortex10min then centrifuge10min, took thelower layer extraction as a gas chromatography analysis, the carrier gas flow ratewas1.5mL/min while injection volume was0.5μ L; diffluence mode was-1min~2min, open flow in2min, flow rate20ml/min, and FID as a detector. In this way, total63kinds of chemical compound could be separated well and30kinds of aroma could be fixedby standard substance, resulted in well repeatability that28elements RSD%was lessthan10%; If quantitative analysis was done by internal standard method, it came out highaccuracy and the rate of return was between85~120%.(2) The fingerprint analysis: did the research respectively for its specialization, precision,inter-day repeatability, within-day repeatability and stability. At last, it showed that thefingerprint analysis met the requirements.(3) According to the screening mode, extracted nine fingerprint peaks from the originalgraphic, set up standard fingerprint graphic in the aspect of three modes: the absolutepeak area, the relative area and the relative content. It was calculated and evaluated by7similar evaluation methods and resulted in both of cosinor and correlation coefficient method were not as sensitive as other five.(4) Analyzed10batches of other brands and the simulated The Great Wall97in7ways,found out that it could be better to tell the true and fake wine apart and different brands bythe standard fingerprint database.