CN106290725B - A kind of quantitative judgement method of cured tobacco leaf giving off a strong fragrance odor type - Google Patents

A kind of quantitative judgement method of cured tobacco leaf giving off a strong fragrance odor type Download PDF

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CN106290725B
CN106290725B CN201610627413.1A CN201610627413A CN106290725B CN 106290725 B CN106290725 B CN 106290725B CN 201610627413 A CN201610627413 A CN 201610627413A CN 106290725 B CN106290725 B CN 106290725B
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tobacco leaf
strong fragrance
cured tobacco
ketone
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李超
秦云华
李利君
蒋次清
张承明
刘晓敏
王璐
李娥贤
郭丽娟
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China Tobacco Yunnan Industrial Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0001—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00 by organoleptic means

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Abstract

The invention discloses a kind of detection level based on 40 kinds of different type materials come the method that is quantitatively judged to the giving off a strong fragrance odor type of cured tobacco leaf.First according to the content of 40 kinds of materials in tobacco business standard and literature method measure tobacco leaf, then the content of 40 kinds of materials obtained by detecting is brought into three above-mentioned classification functions respectively and calculates YDelicate fragrance、YGiving off a strong fragranceAnd YIt is middle fragrantNumerical value, then compare three numerical value, work as YGiving off a strong fragranceNumerical value is by deciding that the cured tobacco leaf odor type detected is Luzhou-flavor during maximum.The judgement accuracy of giving off a strong fragrance odor type tobacco leaf of the present invention is more than 93%, to safeguard that the stable of Sensory Quality of Cigarette provides favourable technical support.

Description

A kind of quantitative judgement method of cured tobacco leaf giving off a strong fragrance odor type
Technical field
The invention belongs to the quality evaluation of cured tobacco leaf odor type and control field, and in particular to one kind is based on 40 kinds of different types The detection level of material, and the method for combining classification function coefficients structure Fisher classification function models is to the giving off a strong fragrance of cured tobacco leaf The method that odor type is quantitatively judged.
Background technology
Caused aromatic style when being burnt according to it, cured tobacco leaf can be divided into Luzhou-flavor, delicate fragrance type and flat-flavor Three classifications.The odor type of cured tobacco leaf is largely fixed the sense organ style and features of kinds of cigarettes, is to safeguard cigarette sense organ An important factor for steady quality, and industrial production is with being formulated one of key element selected.At present, the evaluation of flue-cured tobacco flavor types is mainly Carried out by the sensory evaluating smoking of expert, and issued and implemented concerned countries and professional standard, for example, GB 5606.4-2005 《The part of cigarette the 4th:Sense organ technical requirements》With YC/T 497-2014《Cigarette Chinese-style cigarette style sensory evaluation method》.But by Certain subjectivity during smokeing panel test be present in the person of smokeing panel test, the reappearance of smoking result and stability certain deficiency is present, So that the reliability of evaluation result is had an impact.
Close inner link between the organoleptic feature of cured tobacco leaf and its chemical composition be present, different chemical constituents can be right Cigarette organoleptic feature produces different degrees of influence.In recent years, the cigarette sensory evaluation technique study based on chemical composition also has More report.For example, distillation extraction while the Li Jinming of Hongta Tobacco(Group) Co., Ltd. passes through optimization (SDE) method extracts 101 kinds of comparative flavor matter species from flue-cured tobacco, and is screened simultaneously by way of successive Regression Flue-cured tobacco flavor types discrimination model is established, the flavor matter species for eventually entering into model is 89 kinds (A of CN 103226135).The technology Differentiation accuracy rate of the scheme to flue-cured tobacco flavor types is 91.9%.But the material that modeling is judged for returning is only aroma component, lacked The comprehensive support of other class materials, has the suspicion taken a part for the whole, while used aroma component number up to more than 100 is planted, and cause be present The problems such as fragrant composition detection speed is slow, retrieval qualitative cumbersome, difficult quantitation；In addition, modeling variable number excessively also results in recurrence Modeling is difficult, so that making model overfitting be present, in turn results in the shortcomings of its prediction result is relatively low or less reliable.
The content of the invention
It is an object of the invention to be directed to and overcome the deficiencies in the prior art, there is provided a kind of that cured tobacco leaf Luzhou-flavor is determined Amount determination operation, to simplify the quantitative judgement flow of tobacco leaf giving off a strong fragrance odor type, so as to fast and accurately complete to cured tobacco leaf giving off a strong fragrance The quantitative judgement work of odor type.
The purpose of the present invention is achieved by the following technical programs.
A kind of quantitative judgement method to cured tobacco leaf Luzhou-flavor, comprise the following steps：
(1) reduced sugar in measure cured tobacco leaf sample to be determined, total alkaloid, volatile soda, glucose, phosphate radical, palm fibre Palmitic acid acid, leukotrienes, Asn (asparagine), His (histidine), Gln (glutamine), Arg (arginine), Tyr (tyrosine), Phe (phenylalanine), Trp (tryptophan), bread ketone, phenylacetaldehyde, isophorone, oxidation isophorone, safranal, β-ring lemon Aldehyde, indoles, 4- vinyl -2- metoxyphenols, solanone, dorinone, β-damascone, 5,6- epoxy-bata-ionones, Dihydroactinidiolide, huge beans -4,6Z, 8E- triolefin -3- ketone (Megastigmatrienone A), huge beans -4,6E, 8Z- triolefin -3- ketone are (huge The ketenes B of beans three), huge beans -4,6Z, 8Z- triolefin -3- ketone (Megastigmatrienone C), huge beans -4,6E, 8E- triolefin -3- ketone (huge beans three Ketenes D), vetivone, carrotene, nicotine, nornicotine, anabasine, anatabine, 2,3'- bipyridyls, lignin, a- fibers The mass percentage content of this plain 40 kinds of materials, respectively with X1To X40To represent；
(2) by X1To X40Following three Fisher classification functions are substituted into respectively, calculate YDelicate fragrance、YGiving off a strong fragranceAnd YIt is middle fragrantNumerical value：
a.YDelicate fragrance=5.432X1+12.723X2+65.578X3+1.610X4+13.719X5+23.730X6–3.224X7– 0.065X8+32.381X9–8.719X10–91.162X11+104.813X12+46.811X13+6.193X14+13.670X15– 0.078X16+59.462X17–91.352X18+52.647X19–9.075X20+3.857X21–0.483X22+0.049X23+ 0.597X24–15.001X25–0.831X26+2.936X27–2.062X28+1.225X29–21.850X30+1.556X31–1.109X32+ 0.189X33+0.001X34+0.006X35–0.135X36+0.024X37–1.118X38+21.570X39+14.778X40–263.944；
b.YGiving off a strong fragrance=4.919X1+11.426X2+55.816X3+1.243X4+16.822X5+22.202X6–2.732X7– 1.422X8+39.724X9–5.534X10–76.652X11+115.978X12+41.607X13-12.719X14+11.738X15+ 0.005X16-4.095X17–77.981X18+53.297X19–4.823X20+6.717X21–0.343X22+0.055X23+0.523X24– 16.681X25–1.444X26+2.301X27–1.126X28+2.180X29–18.767X30+0.215X31–0.957X32+0.129X33+ 0.000X34+0.008X35–0.073X36+0.016X37–0.501X38+20.501X39+16.652X40–237.025；
c.YIt is middle fragrant=5.217X1+11.847X2+53.843X3+1.088X4+12.454X5+22.263X6–2.608X7– 2.096X8+20.520X9–4.437X10–89.237X11+151.561X12+38.133X13-0.837X14+12.353X15– 0.047X16+72.031X17–107.901X18+42.328X19–4.303X20+6.072X21–0.361X22+0.059X23+ 0.639X24–13.934X25+0.535X26+2.288X27–4.116X28+2.729X29–13.646X30-0.875X31–1.245X32+ 0.162X33+0.001X34+0.009X35–0.070X36+0.018X37–1.327X38+20.140X39+15.307X40–236.548；
(3) Y is comparedDelicate fragrance、YGiving off a strong fragranceAnd YIt is middle fragrantNumerical value, work as YGiving off a strong fragranceNumerical value by it is maximum when decide that the cured tobacco leaf that detects is fragrant Type is Luzhou-flavor.
Wherein, the mass percentage content of above-mentioned 40 kinds of materials is according to existing related tobacco business standard and literature method To quantitative determine.For example, the tobacco business standard and literature method of institute's reference include：YC/T 159-2002 tobaccos and tobacco system The measure continuous flow method of product water-soluble sugar；The measure of YC/T 160-2002 tobaccos and tobacco product total alkaloid continuously flows Method；YC/T 35-1996 tobaccos and the measure of tobacco product total volatile alkaline；YC/T251-2008 tobaccos and tobacco product glucose, The measure chromatography of ions of fructose, sucrose；Yang Lei, Hou Ying, Wang Baoxing, gradient elutions/chromatography of ions is waited to tobacco and tobacco Quick measure [J] analysis test journals of 7 kinds of inorganic anions in product, 2010,2:165-170；Yin Lili, Zhao Baidong, poplar Rainbow fine jade, waits high effective liquid chromatography for measuring flue-cured tobacco Non-volatile Organic Acids [J] Agricultural University Of Hunan journal (natural science Version), 2014,40 (2):139-143；Amino acid, carotenoid analysis and finger-print in Cao Guo armies tobaccos are used for cigarette Primary Study [D] the Institutes Of Technology Of Nanjing of feed liquid quality control, 2006；CaiJibao,Liu Baizhan,Ling Ping,et al.Analysis of freeand bound volatiles by gas chromatography and gaschromatography-mass spectrometry[J].J Chromatogr A,2002,947(2):267-275；Xiao Then, Zhou Jiheng, Yang Hongqi, wait method optimization [J] Agriculture in Hunan of compounds GC-MSs (GC/MS) method measure nicotiana alkaloids big Learn journal (natural science edition), 2010,36 (1):22-25.It is of course also possible to other reliable analysis determining methods are selected to survey It is fixed.
Listed in table 1 below for above-mentioned 40 kinds of substance to be measured, its calculating system to various odor type decision functions Number.
The classification function coefficient of table 1
Relative to prior art, the present invention has advantages below：
1st, the present invention is from 40 kinds of content of material of cured tobacco leaf, can be provided than sensory evaluating smoking method it is more objective, Stable result of determination, eliminates the influence of the artificial difference in sensory evaluating smoking.
2nd, with the material of the plurality of classes such as sugar, alkali, volatile soda, organic acid, amino acid, neutral aroma constituents, alkaloid The foundation quantitatively judged as odor type, it is more fully more accurate than existing method.
3rd, it is used to model and quantitatively judge cured tobacco leaf odor type using less material, there is faster detection speed Degree, the quantitative flow relatively simplified, the problem of avoiding regression modeling overfitting, make the result of quantitative forecast accurate and reliable. To safeguard that the stable of Sensory Quality of Cigarette provides favourable technical support.
Embodiment
The present invention is described in further detail by the following examples, but specific embodiment is not to skill of the present invention The restriction of art scheme.
Embodiment 1
A, using the classical methods of sampling, the cured tobacco leaf sample of 2011 is gathered from domestic 14 30, provinces city/state, one 17 kinds are gathered altogether, amount to 128 samples.Collected sample is according to GB 5606.4-2005 and YC/T 497-2014 etc. Relevant criterion carries out sensory evaluation, determines its odor type, is specifically shown in Table 2.
The zone variety description of the cured tobacco leaf sample of table 2
B, quantitative determined according to existing related tobacco business standard and literature method in cured tobacco leaf sample to be determined Reduced sugar, total alkaloid, volatile soda, glucose, phosphate radical, palmitic acid, leukotrienes, Asn (asparagine), His (histidine), Gln (glutamine), Arg (arginine), Tyr (tyrosine), Phe (phenylalanine), Trp (tryptophan), bread ketone, benzene second Aldehyde, isophorone, oxidation isophorone, safranal, β-cyclocitral, indoles, 4- vinyl -2- metoxyphenols, solanone, β - Damascenone, β-damascone, 5,6- epoxy-bata-ionones, dihydroactinidiolide, huge beans -4,6Z, 8E- triolefin -3- ketone (Megastigmatrienone A), huge beans -4,6E, 8Z- triolefin -3- ketone (Megastigmatrienone B), huge beans -4,6Z, 8Z- triolefin -3- ketone (huge beans Three ketenes C), huge beans -4,6E, 8E- triolefin -3- ketone (Megastigmatrienone D), vetivone, carrotene, nicotine, nornicotine, false wood Crafty alkali, anatabine, 2,3'- bipyridyls, lignin, the wherein content of a- celluloses this 40 kinds of materials, giving off a strong fragrance odor type tobacco leaf 40 The descriptive statistics of kind content of material testing result is shown in Table 3.
The descriptive statistics of the giving off a strong fragrance odor type 40 kinds of material testing results of tobacco leaf of table 3
Note：Statistical sample number is：46
C, the content of 40 kinds of materials obtained by being detected in b is brought into following three classification function respectively and calculates YDelicate fragrance、 YGiving off a strong fragranceAnd YIt is middle fragrantNumerical value：
1.YDelicate fragrance=5.432X1+12.723X2+65.578X3+1.610X4+13.719X5+23.730X6–3.224X7– 0.065X8+32.381X9–8.719X10–91.162X11+104.813X12+46.811X13+6.193X14+13.670X15– 0.078X16+59.462X17–91.352X18+52.647X19–9.075X20+3.857X21–0.483X22+0.049X23+ 0.597X24–15.001X25–0.831X26+2.936X27–2.062X28+1.225X29–21.850X30+1.556X31–1.109X32+ 0.189X33+0.001X34+0.006X35–0.135X36+0.024X37–1.118X38+21.570X39+14.778X40–263.944；
2.YGiving off a strong fragrance=4.919X1+11.426X2+55.816X3+1.243X4+16.822X5+22.202X6–2.732X7– 1.422X8+39.724X9–5.534X10–76.652X11+115.978X12+41.607X13-12.719X14+11.738X15+ 0.005X16-4.095X17–77.981X18+53.297X19–4.823X20+6.717X21–0.343X22+0.055X23+0.523X24– 16.681X25–1.444X26+2.301X27–1.126X28+2.180X29–18.767X30+0.215X31–0.957X32+0.129X33+ 0.000X34+0.008X35–0.073X36+0.016X37–0.501X38+20.501X39+16.652X40–237.025；
3.YIt is middle fragrant=5.217X1+11.847X2+53.843X3+1.088X4+12.454X5+22.263X6–2.608X7– 2.096X8+20.520X9–4.437X10–89.237X11+151.561X12+38.133X13-0.837X14+12.353X15– 0.047X16+72.031X17–107.901X18+42.328X19–4.303X20+6.072X21–0.361X22+0.059X23+ 0.639X24–13.934X25+0.535X26+2.288X27–4.116X28+2.729X29–13.646X30-0.875X31–1.245X32+ 0.162X33+0.001X34+0.009X35–0.070X36+0.018X37–1.327X38+20.140X39+15.307X40–236.548。
D, compare three Y values being calculated in c, work as YGiving off a strong fragranceNumerical value by it is maximum when decide that the cured tobacco leaf that detects is fragrant Type is Luzhou-flavor.46 tobacco leaf samples for being defined as Luzhou-flavor to sensory evaluating smoking in a are quantitatively judged by this method, and with Sensory evaluating smoking's result compares, as a result as shown in table 4, it can be seen that using Fisher quantitative classifications model to giving off a strong fragrance odor type tobacco leaf Judgement accuracy be 43/46 × 100%=93.48%.
The different decision mode of table 4 contrasts to the result of determination of sample cured tobacco leaf

Claims (1)

1. a kind of quantitative judgement method of cured tobacco leaf Luzhou-flavor, comprises the following steps：
(1) determine reduced sugar in cured tobacco leaf sample to be determined, total alkaloid, volatile soda, glucose, phosphate radical, palmitic acid, Leukotrienes, asparagine, histidine, glutamine, arginine, tyrosine, phenylalanine, tryptophan, bread ketone, phenylacetaldehyde, Isophorone, oxidation isophorone, safranal, β-cyclocitral, indoles, 4- vinyl -2- metoxyphenols, solanone, β-big Horse ketone, β-damascone, 5,6- epoxy-bata-ionones, dihydroactinidiolide, huge beans -4,6Z, 8E- triolefin -3- ketone, Huge beans -4,6E, 8Z- triolefin -3- ketone, huge beans -4,6Z, 8Z- triolefin -3- ketone, huge beans -4,6E, 8E- triolefin -3- ketone, vetivone, This 40 kinds of materials of carrotene, nicotine, nornicotine, anabasine, anatabine, 2,3'- bipyridyls, lignin, a- celluloses Mass percentage content, successively respectively with X1To X40To represent；
(2) by X1To X40Following three Fisher classification functions are substituted into respectively, calculate YDelicate fragrance、YGiving off a strong fragranceAnd YIt is middle fragrantNumerical value：
a.YDelicate fragrance=5.432X1+12.723X2+65.578X3+1.610X4+13.719X5+23.730X6–3.224X7–0.065X8+ 32.381X9–8.719X10–91.162X11+104.813X12+46.811X13+6.193X14+13.670X15–0.078X16+ 59.462X17–91.352X18+52.647X19–9.075X20+3.857X21–0.483X22+0.049X23+0.597X24– 15.001X25–0.831X26+2.936X27–2.062X28+1.225X29–21.850X30+1.556X31–1.109X32+0.189X33+ 0.001X34+0.006X35–0.135X36+0.024X37–1.118X38+21.570X39+14.778X40–263.944；
b.YGiving off a strong fragrance=4.919X1+11.426X2+55.816X3+1.243X4+16.822X5+22.202X6–2.732X7–1.422X8+ 39.724X9–5.534X10–76.652X11+115.978X12+41.607X13-12.719X14+11.738X15+0.005X16- 4.095X17–77.981X18+53.297X19–4.823X20+6.717X21–0.343X22+0.055X23+0.523X24– 16.681X25–1.444X26+2.301X27–1.126X28+2.180X29–18.767X30+0.215X31–0.957X32+0.129X33+ 0.000X34+0.008X35–0.073X36+0.016X37–0.501X38+20.501X39+16.652X40–237.025；
c.YIt is middle fragrant=5.217X1+11.847X2+53.843X3+1.088X4+12.454X5+22.263X6–2.608X7–2.096X8+ 20.520X9–4.437X10–89.237X11+151.561X12+38.133X13-0.837X14+12.353X15–0.047X16+ 72.031X17–107.901X18+42.328X19–4.303X20+6.072X21–0.361X22+0.059X23+0.639X24– 13.934X25+0.535X26+2.288X27–4.116X28+2.729X29–13.646X30-0.875X31–1.245X32+0.162X33+ 0.001X34+0.009X35–0.070X36+0.018X37–1.327X38+20.140X39+15.307X40–236.548；
(3) Y is comparedDelicate fragrance、YGiving off a strong fragranceAnd YIt is middle fragrantNumerical value, work as YGiving off a strong fragranceNumerical value is by deciding that the cured tobacco leaf odor type detected during maximum Luzhou-flavor.
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