JPWO2020031448A1 - Methods, programs, and equipment for creating criteria to determine the classification of plant-derived materials, including chlorophyll and at least one of the polyphenols or terpenoids. - Google Patents
Methods, programs, and equipment for creating criteria to determine the classification of plant-derived materials, including chlorophyll and at least one of the polyphenols or terpenoids. Download PDFInfo
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- 239000000463 material Substances 0.000 title claims abstract description 93
- ATNHDLDRLWWWCB-AENOIHSZSA-M chlorophyll a Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 ATNHDLDRLWWWCB-AENOIHSZSA-M 0.000 title claims abstract description 60
- 150000008442 polyphenolic compounds Chemical class 0.000 title claims abstract description 60
- 235000013824 polyphenols Nutrition 0.000 title claims abstract description 60
- 229930002875 chlorophyll Natural products 0.000 title claims abstract description 58
- 235000019804 chlorophyll Nutrition 0.000 title claims abstract description 58
- 150000003505 terpenes Chemical class 0.000 title claims abstract description 55
- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000004458 analytical method Methods 0.000 claims abstract description 25
- 230000005284 excitation Effects 0.000 claims abstract description 23
- 239000002994 raw material Substances 0.000 claims description 45
- 241000208125 Nicotiana Species 0.000 claims description 35
- 235000002637 Nicotiana tabacum Nutrition 0.000 claims description 35
- 244000269722 Thea sinensis Species 0.000 claims description 16
- 241000196324 Embryophyta Species 0.000 claims description 15
- 238000000513 principal component analysis Methods 0.000 claims description 12
- 238000000491 multivariate analysis Methods 0.000 claims description 7
- 239000002245 particle Substances 0.000 claims description 7
- 239000000843 powder Substances 0.000 claims description 6
- 239000004615 ingredient Substances 0.000 claims description 4
- 239000013077 target material Substances 0.000 description 13
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- 238000005259 measurement Methods 0.000 description 6
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- 241000894007 species Species 0.000 description 5
- 235000006468 Thea sinensis Nutrition 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000001678 irradiating effect Effects 0.000 description 4
- 235000020279 black tea Nutrition 0.000 description 3
- 235000021466 carotenoid Nutrition 0.000 description 3
- 150000001747 carotenoids Chemical class 0.000 description 3
- 238000001035 drying Methods 0.000 description 3
- 235000013305 food Nutrition 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 210000000988 bone and bone Anatomy 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
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- 239000002207 metabolite Substances 0.000 description 2
- 238000007637 random forest analysis Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000012706 support-vector machine Methods 0.000 description 2
- 241000231392 Gymnosiphon Species 0.000 description 1
- RRHGJUQNOFWUDK-UHFFFAOYSA-N Isoprene Chemical group CC(=C)C=C RRHGJUQNOFWUDK-UHFFFAOYSA-N 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
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- 238000000465 moulding Methods 0.000 description 1
- 235000020333 oolong tea Nutrition 0.000 description 1
- 150000002894 organic compounds Chemical class 0.000 description 1
- 238000010238 partial least squares regression Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
Abstract
クロロフィルと、ポリフェノールまたはテルペノイドの少なくとも一方を含む植物に由来する材料の区分を判別するための基準を作成する方法であって、区分が既知である前記材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する蛍光指紋情報取得工程、前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を示す基準を作成する工程を含む、方法。A method of creating criteria for determining the classification of a plant-derived material containing chlorophyll and at least one of polyphenols or terpenoids, of the excitation wavelength, fluorescence wavelength, and fluorescence intensity of the material whose classification is known. Fluorescent fingerprint information acquisition step for acquiring fluorescent fingerprint information consisting of data, analysis using fluorescent fingerprint information reflecting the abundance of components derived from at least one of polyphenol or terpenoid in the material and the abundance of chlorophyll-derived components as indexes. A method comprising the step of creating a criterion indicating the relationship between the material classification, the component derived from at least one of the polyphenols or the terpenoids, and the component derived from chlorophyll.
Description
本発明は、クロロフィルと、ポリフェノールまたはテルペノイドの少なくとも一方とを含む植物に由来する材料の区分を判別する基準の作成方法、プログラム、および装置に関する。 The present invention relates to methods, programs, and devices for creating criteria for discriminating plant-derived materials, including chlorophyll and at least one of polyphenols or terpenoids.
たばこ原料には、空気乾燥たばこ原料（例えば、バーレー種、および在来種）、強制火力乾燥たばこ原料（例えば、黄色種）、および天日乾燥たばこ原料（例えば、オリエント種）等の原料区分が存在するが、目視にて区分を判別することは不可能である。たばこ原料区分を判別する方法として、例えばたばこ原料に可視光を照射したときの反射率に基づいてたばこ原料区分を判別する方法が提案されている（特許文献１）。一方、蛍光指紋情報を用いて食品材料等の鑑別や定量を行うことが知られている（非特許文献１）。 Tobacco raw materials include air-dried tobacco raw materials (eg, Burley and native varieties), forced-heat-dried tobacco raw materials (eg, yellow varieties), and sun-dried tobacco raw materials (eg, Orient species). Although it exists, it is impossible to visually distinguish the classification. As a method for discriminating the tobacco raw material classification, for example, a method for discriminating the tobacco raw material classification based on the reflectance when the tobacco raw material is irradiated with visible light has been proposed (Patent Document 1). On the other hand, it is known to discriminate and quantify food materials and the like using fluorescent fingerprint information (Non-Patent Document 1).
たばこ原料や茶原料等の、クロロフィルとポリフェノールまたはテルペノイドの少なくとも一方とを含む植物に由来する材料は乾燥等の加工工程や保存状態によって色調が変化するため、目視による区分の判別は困難である。特許文献１に記載されたような可視光を用いた当該材料の区分の判別方法は簡便であるが、反射データが酷似する場合は判別能力に問題が生じうる。実際にたばこ原料の黄色種とオリエント種において得られる反射率データは酷似するので（特許文献１図２）、両者の判別は困難である。かかる事情を鑑み、本発明はクロロフィルおよびポリフェノールまたはテルペノイドの少なくとも一方とを含む植物に由来する材料の区分を精度よく判別するための基準および判別方法、プログラム、および装置を提供することを課題とする。
It is difficult to visually distinguish the classification of plant-derived materials containing chlorophyll and at least one of polyphenols or terpenoids, such as tobacco raw materials and tea raw materials, because the color tone changes depending on the processing process such as drying and the storage state. The method of discriminating the classification of the material using visible light as described in
発明者らは蛍光指紋情報を用いることで前記課題を解決できることを見出した。すなわち、前記課題は以下の本発明によって解決される。
［１］クロロフィルと、ポリフェノールまたはテルペノイドの少なくとも一方とを含む植物に由来する材料の区分を判別するための基準を作成する方法であって、
区分が既知である前記材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する蛍光指紋情報取得工程、
前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を示す基準を作成する工程を含む、方法。
［２］前記材料が、たばこ原料または茶原料である、［１］に記載の方法。
［３］前記材料がたばこ原料であり、前記区分がバーレー種、黄色種、およびオリエント種である、［２］に記載の方法。
［４］前記材料が粉末である、［１］〜［３］のいずれかに記載の方法。
［５］前記材料の最大粒径が１ｍｍ以下である、［４］に記載の方法。
［６］前記蛍光指紋情報取得工程が、２５０〜３７０ｎｍの励起光を照射してポリフェノールまたはテルペノイドの少なくとも一方に由来する成分に起因する３００〜４８０ｎｍの蛍光を測定すること、または３５０〜４８０ｎｍの励起光を照射してクロロフィル由来成分に起因する６７０〜７００ｎｍの蛍光を測定すること、あるいはその双方を含む、［１］〜［５］に記載の方法。
［７］前記解析が多変量解析である、［１］〜［６］のいずれかに記載の方法。
［８］前記多変量解析が主成分分析である、［７］に記載の方法。
［９］前記多変量解析がＰＬＳ判別分析である、［７］に記載の方法。
［１０］前記材料がたばこ原料であり、蛍光指紋情報を取得する工程の前に、当該たばこ原料を２２℃、６０％で２４時間以上静置して状態調整する工程をさらに含む、［１］〜［９］のいずれかに記載の方法。
［１１］区分が未知である、クロロフィルと、ポリフェノールまたはテルペノイドの少なくとも一方とを含む植物に由来する材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する工程１、
前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を取得する工程２、
前記［１］〜［１０］のいずれかに記載の基準を準備して、当該基準と工程２で得た関係を照合して当該材料の区分を判別する工程３、を含む、
前記材料の区分を判別する方法。
［１２］コンピュータに前記［１］〜［１１］のいずれかに記載の方法を実行させるためのプログラム。
［１３］クロロフィルと、ポリフェノールまたはテルペノイドの少なくとも一方とを含む植物に由来する材料の区分を判別するための基準を作成するための装置であって、
区分が既知である前記材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する手段（Ａ１）、ならびに
前記材料中のポリフェノールまたはテルペノイドの少なくとも一方とに由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を示す基準を作成する手段（Ａ２）、を備える装置。
［１４］区分が未知である、クロロフィルと、ポリフェノールまたはテルペノイドの少なくとも一方を含む植物に由来する材料の区分を判別する装置であって、
前記［１３］に記載の手段（Ａ１）および手段（Ａ２）、
前記区分が未知である材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する蛍光指紋情報取得手段（Ｂ１）、ならびに前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を取得する手段（Ｂ２）、ならびに
手段（Ａ２）で得た基準と、手段（Ｂ２）で得た関係とを照合して、前記区分が未知である材料の区分を判別する手段（Ｃ）を備える、装置。The inventors have found that the above problem can be solved by using fluorescent fingerprint information. That is, the above-mentioned problem is solved by the following invention.
[1] A method for creating a standard for discriminating a material derived from a plant containing chlorophyll and at least one of a polyphenol or a terpenoid.
Fluorescence fingerprint information acquisition step of acquiring fluorescence fingerprint information consisting of excitation wavelength, fluorescence wavelength, and fluorescence intensity data of the material whose classification is known.
Analysis is performed using the abundance of a component derived from at least one of the polyphenol or terpenoid in the material and the fluorescent fingerprint information reflecting the abundance of the chlorophyll-derived component as an index, and the abundance is derived from at least one of the material category, the polyphenol or the terpenoid. A method comprising the step of creating a criterion showing the relationship between the ingredients and the chlorophyll-derived ingredients.
[2] The method according to [1], wherein the material is a tobacco raw material or a tea raw material.
[3] The method according to [2], wherein the material is a tobacco raw material, and the categories are Burley, Yellow, and Orient.
[4] The method according to any one of [1] to [3], wherein the material is a powder.
[5] The method according to [4], wherein the maximum particle size of the material is 1 mm or less.
[6] The fluorescence fingerprint information acquisition step is to irradiate excitation light at 250 to 370 nm to measure fluorescence at 300 to 480 nm due to a component derived from at least one of polyphenol or terpenoid, or excitation at 350 to 480 nm. The method according to [1] to [5], which comprises irradiating light to measure fluorescence at 670 to 700 nm due to a component derived from chlorophyll, or both.
[7] The method according to any one of [1] to [6], wherein the analysis is a multivariate analysis.
[8] The method according to [7], wherein the multivariate analysis is a principal component analysis.
[9] The method according to [7], wherein the multivariate analysis is a PLS discriminant analysis.
[10] The material is a tobacco raw material, and further includes a step of adjusting the state of the tobacco raw material by allowing it to stand at 22 ° C. and 60% for 24 hours or more before the step of acquiring fluorescent fingerprint information [1]. The method according to any one of [9].
[11]
Analysis is performed using fluorescent fingerprint information reflecting the abundance of a component derived from at least one of the polyphenol or terpenoid in the material and the abundance of the component derived from chlorophyll as an index, and the abundance is derived from at least one of the material category, the polyphenol or the terpenoid. Step 2 to acquire the relationship between the components and the components derived from chlorophyll,
A
A method for determining the classification of the material.
[12] A program for causing a computer to execute the method according to any one of the above [1] to [11].
[13] An apparatus for creating a standard for discriminating a plant-derived material containing chlorophyll and at least one of a polyphenol or a terpenoid.
The presence of a means (A1) for obtaining fluorescence fingerprint information consisting of data on the excitation wavelength, fluorescence wavelength, and fluorescence intensity of the material whose classification is known, and a component derived from at least one of the polyphenol or terpenoid in the material. A means for analyzing the amount and fluorescent fingerprint information reflecting the abundance of the chlorophyll-derived component as an index, and creating a standard showing the relationship between the material classification, the component derived from at least one of the polyphenols or terpenoids, and the chlorophyll-derived component ( A2), a device including.
[14] An apparatus for discriminating a material derived from a plant containing chlorophyll and at least one of a polyphenol or a terpenoid, the classification of which is unknown.
The means (A1) and means (A2) according to the above [13],
Derived from the fluorescence fingerprint information acquisition means (B1) for acquiring fluorescence fingerprint information consisting of data on the excitation wavelength, fluorescence wavelength, and fluorescence intensity of a material whose classification is unknown, and at least one of the polyphenol or terpenoid in the material. A means for analyzing the abundance of components and fluorescent fingerprint information reflecting the abundance of chlorophyll-derived components as an index to obtain the relationship between the material classification, the components derived from at least one of the polyphenols or terpenoids, and the chlorophyll-derived components ( A device comprising B2) and a means (C) for discriminating the classification of a material whose classification is unknown by collating the reference obtained by the means (A2) with the relationship obtained by the means (B2).
本発明によってクロロフィルと、ポリフェノールまたはテルペノイドの少なくとも一方とを含む植物に由来する材料の区分を精度よく判別するための基準および判別方法、プログラム、および装置を提供できる。 INDUSTRIAL APPLICABILITY The present invention can provide criteria and discrimination methods, programs, and devices for accurately discriminating between plant-derived materials containing chlorophyll and at least one of polyphenols or terpenoids.
以下、本発明を詳細に説明する。本発明においてＸ〜Ｙはその端値であるＸおよびＹを含む。 Hereinafter, the present invention will be described in detail. In the present invention, X to Y include X and Y which are the fractional values thereof.
１．基準の作成方法
クロロフィルと、ポリフェノールまたはテルペノイドの少なくとも一方を含む植物に由来する材料の区分を判別するための基準は、当該材料の蛍光指紋情報を取得し、前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析して得た、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係に基づいて作成される。当該基準を予め定められた基準ともいう。1. 1. Method of Creating Criteria The criteria for discriminating between chlorophyll and a plant-derived material containing at least one of polyphenols or terpenoids is to obtain fluorescent fingerprint information of the material and at least one of the polyphenols or terpenoids in the material. The abundance of the component derived from chlorophyll and the component derived from at least one of the above-mentioned material classification, polyphenol or terpenoid, and the chlorophyll-derived component obtained by analyzing using fluorescent fingerprint information reflecting the abundance of the chlorophyll-derived component as an index. Created based on relationships. The standard is also called a predetermined standard.
クロロフィルと、ポリフェノールまたはテルペノイドの少なくとも一方とを含む植物に由来する材料（以下単に「対象材料」ともいう）とは、当該植物に切断、成形、加熱、乾燥等の加工を施した材料または未加工の植物である。テルペノイドとはイソプレン単位が複数個結合してできた天然有機化合物群であり、その例としてはカロテノイドが挙げられる。植物に含まれるクロロフィル、およびポリフェノールまたはテルペノイドは、加工や経時変化によって代謝されうる。したがって対象材料はクロロフィルまたはクロロフィル代謝物、ポリフェノールまたはポリフェノール代謝物、ならびにテルペノイドまたはテルペノイド代謝物を含む。対象材料としては、たばこ原料や茶原料が挙げられる。たばこ原料とは、たばこの葉や茎等を加工して得られた原料である。たばこ原料は、除骨葉、中骨、再生たばこ（すなわち、工場の作業工程で生じる葉屑、刻み屑、中骨屑、細粉などを再使用可能なシート等の形状に加工したたばこ材料）、またはこれらの混合物のいずれからなるものであってもよい。茶原料とは茶葉や茶茎等を加工して得られた原料である。材料区分とは、その材料の属性による区分である。たばこ原料の区分としては、乾燥方法による区分、すなわち空気乾燥たばこ原料（例えば、バーレー種、および在来種）、強制火力乾燥たばこ原料（例えば、黄色種）、および天日乾燥たばこ原料（例えば、オリエント種）のいずれかに属するかの区分が挙げられる。したがって、一態様として、たばこ原料がバーレー種、黄色種、およびオリエント種のいずれの区分に属するかを判別するための基準が挙げられる。また、茶原料に関しては、一態様として、煎茶、深蒸し茶、ほうじ茶、ウーロン茶、紅茶等のいずれの区分に属するかを判別するための基準が提供される。 A plant-derived material containing chlorophyll and at least one of a polyphenol or a terpenoid (hereinafter, also simply referred to as "target material") is a material obtained by cutting, molding, heating, drying, or the like, or unprocessed. Plant. A terpenoid is a group of natural organic compounds formed by binding a plurality of isoprene units, and an example thereof is a carotenoid. Chlorophyll and polyphenols or terpenoids contained in plants can be metabolized by processing and aging. Thus, the material of interest includes chlorophyll or chlorophyll metabolites, polyphenols or polyphenol metabolites, and terpenoids or terpenoid metabolites. Examples of the target material include tobacco raw materials and tea raw materials. Tobacco raw materials are raw materials obtained by processing tobacco leaves, stems, and the like. Tobacco raw materials are deboned leaves, middle bones, and regenerated tobacco (that is, tobacco materials obtained by processing leaf waste, chopped waste, medium bone waste, fine powder, etc. generated in the work process of a factory into a reusable sheet or the like). , Or a mixture of these. The tea raw material is a raw material obtained by processing tea leaves, tea stems, and the like. The material classification is a classification according to the attribute of the material. Tobacco raw materials are classified according to the drying method, that is, air-dried tobacco raw materials (for example, Burley and native species), forced-fired dried tobacco raw materials (for example, yellow seeds), and sun-dried tobacco raw materials (for example, for example). Orient species) can be classified as belonging to any of them. Therefore, as one aspect, there is a standard for determining whether the tobacco raw material belongs to the Burley type, the yellow type, or the Orient type. Further, with respect to the tea raw material, as one aspect, a standard for determining which category of sencha, fukamushi tea, roasted tea, oolong tea, black tea and the like belongs is provided.
［蛍光指紋情報取得工程］
本工程では、区分が既知である対象材料の蛍光指紋情報を取得する。蛍光指紋情報とは、励起光を照射して蛍光波長と蛍光強度を測定し、励起波長、蛍光波長、および蛍光強度のデータから構成される３次元蛍光パターンである。当該測定は、（１）２５０〜３７０ｎｍの励起光を照射してポリフェノールまたはテルペノイド由来成分に起因する３００〜４８０ｎｍの蛍光を測定すること、または（２）３５０〜４８０ｎｍの励起光を照射してクロロフィル由来成分に起因する６７０〜７００ｎｍの蛍光を測定すること、あるいは（１）および（２）の双方を含むことが好ましい。各波長は対象物の特性によって適宜調整される。例えば、たばこ原料に対しては（１）における励起光波長は、好ましくは３２０〜３７０ｎｍ、より好ましくは３６０ｎｍであり、蛍光波長は好ましくは３８０〜４８０ｎｍ、より好ましくは４６０ｎｍとすることができ、（２）における励起光波長は４００ｎｍ、蛍光波長は６８０ｎｍとすることができる。クロロフィル由来成分に起因する蛍光とは、クロロフィルおよびクロロフィル代謝物に起因する蛍光である。ポリフェノール由来成分およびテルペノイド由来成分に起因する蛍光についても同様である。[Fluorescent fingerprint information acquisition process]
In this step, the fluorescent fingerprint information of the target material whose classification is known is acquired. The fluorescence fingerprint information is a three-dimensional fluorescence pattern composed of excitation wavelength, fluorescence wavelength, and fluorescence intensity data obtained by irradiating excitation light and measuring the fluorescence wavelength and fluorescence intensity. The measurement is carried out by (1) irradiating with excitation light of 250 to 370 nm to measure fluorescence of 300 to 480 nm due to a component derived from polyphenol or terpenoid, or (2) irradiating with excitation light of 350 to 480 nm to measure chlorophyll. It is preferable to measure the fluorescence at 670 to 700 nm due to the derived component, or to include both (1) and (2). Each wavelength is appropriately adjusted according to the characteristics of the object. For example, for the tobacco raw material, the excitation light wavelength in (1) is preferably 320 to 370 nm, more preferably 360 nm, and the fluorescence wavelength is preferably 380 to 480 nm, more preferably 460 nm. The excitation light wavelength in 2) can be 400 nm, and the fluorescence wavelength can be 680 nm. The fluorescence caused by the chlorophyll-derived component is the fluorescence caused by chlorophyll and chlorophyll metabolites. The same applies to the fluorescence caused by the polyphenol-derived component and the terpenoid-derived component.
測定に供する対象材料の性状は限定されないが、対象材料を粉砕して均一な粉末にして測定に供することが好ましい。材料に含まれる各成分が均一に分散するので精度の高い測定が可能になるからである。粉砕には公知の機器を使用できる。最大粒径は１ｍｍ以下であることが好ましい。最大粒径は指定サイズのメッシュを通過させることによって決定される。例えば、たばこ原料としてはラミナ、刻み、粉末が挙げられるが、これを前記粒径となるように粉砕後、十分に混合して測定に供することが好ましい。測定に供する対象材料は事前に水分量を一定化するために状態調整されることが好ましい。例えばたばこ原料の場合、調和条件（２２℃、６０％）で２４時間以上蔵置することが好ましい。蔵置する時間の上限は限定されないが、３０時間以内であることが好ましい。 The properties of the target material to be measured are not limited, but it is preferable to pulverize the target material into a uniform powder and use it for measurement. This is because each component contained in the material is uniformly dispersed, so that highly accurate measurement becomes possible. A known device can be used for pulverization. The maximum particle size is preferably 1 mm or less. The maximum particle size is determined by passing through a mesh of a specified size. For example, examples of the tobacco raw material include lamina, chopped powder, and powder, and it is preferable that these are pulverized to have the above particle size and then sufficiently mixed and used for measurement. It is preferable that the target material to be measured is state-adjusted in advance in order to stabilize the water content. For example, in the case of a tobacco raw material, it is preferable to store it for 24 hours or more under harmonized conditions (22 ° C., 60%). The upper limit of the storage time is not limited, but it is preferably 30 hours or less.
［基準作成工程］
本工程では、前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量およびクロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析を行う。解析は、主成分分析、判別分析、決定木分析、階層的データ分析、非階層クラスタリング分析等の多変量解析を用いることができるが、中でも主成分分析またはＰＬＳ判別分析が好ましい。主成分分析とは、主成分の分散が最大になるように主成分を抽出する手法であり、説明変数のみを用いて主成分分析を行い、得られた主成分と目的変数との間で最小二乗法による重回帰分析を行う手法である。例えば、蛍光指紋情報に対して主成分分析を行い、第１主成分（ＰＣ１）をポリフェノール由来成分、テルペノイド由来成分またはその双方にかかる情報、第３主成分（ＰＣ３）をクロロフィル由来成分にかかる情報として採用する。第１主成分と第３成分のスコアから２次元プロットを作成すれば、材料区分、ポリフェノール由来成分またはテルペノイド由来成分の一方またはその双方、およびクロロフィル由来成分の関係を示す２次元図を作成できる。この２次元図において各材料区分を判別するためのグルーピングを行うことで各材料区分の基準を作成できる。グルーピングには統計的な手法を用いることもできるが、未知の原料サンプルと既知原料サンプルのプロット群との近似性等を考慮して実施することが好ましい。異なる区分に属する複数の対象材料を測定すれば、より精度の高い基準を作成できる。特に、たばこ原料においては、黄色種、バーレー種、およびオリエント種では、ポリフェノール由来成分、テルペノイド由来成分およびクロロフィル由来成分の存在量がそれぞれ異なるので、精度の高い基準を作成できる。図２は、たばこ原料が、黄色種、バーレー種、およびオリエント種のいずれの区分に属するかを判別するための主成分分析を用いた基準の一例を示す。当該工程に用いるアルゴリズムはより汎用的かつ非線形現象にも対応する機械学習アルゴリズム、例えばsupport vector machine (SVM), random forest (RF), neural networkなどでもよい。[Standard creation process]
In this step, analysis is performed using fluorescent fingerprint information reflecting the abundance of a component derived from at least one of the polyphenol or the terpenoid and the abundance of the chlorophyll-derived component in the material as an index. For the analysis, multivariate analysis such as principal component analysis, discriminant analysis, determined tree analysis, hierarchical data analysis, and non-hierarchical clustering analysis can be used, and among them, principal component analysis or PLS discriminant analysis is preferable. Principal component analysis is a method of extracting principal components so that the variance of the principal components is maximized. Principal component analysis is performed using only the explanatory variables, and the minimum between the obtained principal components and the objective variable. This is a method for performing multiple regression analysis by the square method. For example, principal component analysis is performed on fluorescent fingerprint information, and the first principal component (PC1) is information related to polyphenol-derived components, terpenoid-derived components or both, and the third principal component (PC3) is information related to chlorophyll-derived components. Adopt as. By creating a two-dimensional plot from the scores of the first principal component and the third component, it is possible to create a two-dimensional diagram showing the relationship between the material classification, one or both of the polyphenol-derived component and the terpenoid-derived component, and the chlorophyll-derived component. A standard for each material classification can be created by performing grouping for discriminating each material classification in this two-dimensional diagram. Although a statistical method can be used for grouping, it is preferable to carry out the grouping in consideration of the closeness between the unknown raw material sample and the plot group of the known raw material sample. By measuring multiple target materials belonging to different categories, a more accurate standard can be created. In particular, in the tobacco raw material, the abundance of the polyphenol-derived component, the terpenoid-derived component and the chlorophyll-derived component is different between the yellow type, the Burley type and the Orient type, so that a highly accurate standard can be created. FIG. 2 shows an example of a standard using principal component analysis for determining whether a tobacco raw material belongs to a yellow type, a Burley type, or an Orient type. The algorithm used in the process may be a machine learning algorithm that is more general and supports non-linear phenomena, such as support vector machine (SVM), random forest (RF), and neural network.
ＰＬＳ回帰分析は主成分と目的変数との共分散が最大になるように主成分を抽出する方法である。ＰＬＳ判別分析とは前記変数を０と１の変数として行う分析をいう。蛍光指紋情報に対してＰＬＳ判別分析を行う場合は、例えば、黄色、オリエント、バーレーのクラスターをそれぞれ、目的変数（１，０，０）、（０，１，０）、（０，０，１）として解析を行い、それぞれの基準を作成する。 PLS regression analysis is a method of extracting principal components so that the covariance between the principal components and the objective variable is maximized. The PLS discriminant analysis refers to an analysis performed with the variable as a variable of 0 and 1. When performing PLS discriminant analysis on fluorescent fingerprint information, for example, yellow, Orient, and Burley clusters are selected as objective variables (1,0,0), (0,1,0), (0,0,1), respectively. ), And create each standard.
２．区分が未知である対象材料の判別方法
前述のとおり作成された基準は、区分が未知である材料の区分の判別方法に有用である。当該方法は、以下の工程を含む。
工程１：区分が未知である対象材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する。
工程２：前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量およびクロロフィルに由来する成分の存在量を反映する蛍光指紋情報を指標として解析を行い、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分およびクロロフィル由来成分の関係を取得する。
工程３：前記基準を準備して、当該基準と工程２で得た関係を照合して当該材料の区分を判別する。2. Method for determining the classification of the target material whose classification is unknown The criteria created as described above are useful for the method for determining the classification of the material whose classification is unknown. The method includes the following steps.
Step 1: Acquire fluorescence fingerprint information consisting of data on the excitation wavelength, fluorescence wavelength, and fluorescence intensity of the target material whose classification is unknown.
Step 2: Analysis is performed using fluorescent fingerprint information reflecting the abundance of a component derived from at least one of the polyphenol or terpenoid and the abundance of the component derived from chlorophyll in the material as an index, and is derived from at least one of the polyphenol or terpenoid. Obtain the relationship between the components to be produced and the components derived from chlorophyll.
Step 3: Prepare the standard, compare the standard with the relationship obtained in step 2, and determine the classification of the material.
工程１は、基準の作成方法で述べたとおりに実施できる。工程２では、例えは解析手法として主成分分析を用いる場合、基準の作成方法で述べたとおりに分析を行い、区分が未知である対象材料について第１主成分（ＰＣ１）と第３主成分（ＰＣ３）のスコアを求める。そして、工程３において、当該スコアを前記基準上にプロットして照合することで、区分が未知である対象材料の材料区分を特定できる。
３．プログラム
プログラムとは、任意の言語や記述方法に基づき記述されたデータ処理方法であり、ソースコードやバイナリコード等の形式を問うものではない。また、プログラムは単一の形で構成されてもよいが、複数のモジュールやライブラリとして分散構成されてもよく、また、他の既存のプログラムと協働してその機能を達成するように構成されたものであってもよい。3. 3. Program A program is a data processing method described based on an arbitrary language or description method, and does not ask the format of source code or binary code. In addition, the program may be configured in a single form, may be distributed as a plurality of modules or libraries, and may be configured to achieve its function in cooperation with other existing programs. It may be a module.
４．装置
（１）対象材料の区分を判別するための基準を作成する装置
当該装置は、
区分が既知である前記材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する手段（Ａ１）、ならびに
前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を示す基準を作成する手段（Ａ２）、を備える。4. Equipment (1) Equipment for creating criteria for determining the classification of the target material The equipment is
Means for acquiring fluorescence fingerprint information consisting of data on excitation wavelength, fluorescence wavelength, and fluorescence intensity of the material whose classification is known (A1), and abundance of components derived from at least one of polyphenol or terpenoid in the material. A means for analyzing the fluorescent fingerprint information reflecting the abundance of the chlorophyll-derived component as an index and creating a standard showing the relationship between the material classification, the component derived from at least one of the polyphenols or terpenoids, and the chlorophyll-derived component (A2). ), Is provided.
図４に当該装置の一態様を示す。図中、Ａ１は区分が既知である材料の蛍光指紋情報を取得する手段、Ａ１０は当該手段で得た蛍光指紋情報、Ａ２は材料区分とポリフェノール等由来成分の関係を示す基準を作成する手段、Ａ２０は当該手段で得た基準である。 FIG. 4 shows one aspect of the device. In the figure, A1 is a means for acquiring fluorescent fingerprint information of a material whose classification is known, A10 is a means for obtaining fluorescent fingerprint information obtained by the means, and A2 is a means for creating a standard showing the relationship between the material classification and a component derived from polyphenol or the like. A20 is a standard obtained by the means.
（２）区分が未知である対象材料の区分を判別する装置
当該装置は、
前記手段（Ａ１）および手段（Ａ２）、
前記区分が未知である材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する蛍光指紋情報取得手段（Ｂ１）、ならびに前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を取得する手段（Ｂ２）、ならびに
手段（Ａ２）で得た基準と、手段（Ｂ２）で得た関係とを照合して、前記区分が未知である材料の区分を判別する手段（Ｃ）を備える。(2) A device for determining the classification of a target material whose classification is unknown.
The means (A1) and means (A2),
Derived from the fluorescence fingerprint information acquisition means (B1) for acquiring fluorescence fingerprint information consisting of data on the excitation wavelength, fluorescence wavelength, and fluorescence intensity of a material whose classification is unknown, and at least one of the polyphenol or terpenoid in the material. A means for analyzing the abundance of components and fluorescent fingerprint information reflecting the abundance of chlorophyll-derived components as an index to obtain the relationship between the material classification, the components derived from at least one of the polyphenols or terpenoids, and the chlorophyll-derived components ( B2) and the means (C) for discriminating the classification of the material whose classification is unknown by collating the reference obtained by the means (A2) with the relationship obtained by the means (B2) are provided.
図５に当該装置の一態様を示す。図中、Ａ１とＡ２は図３で定義されるとおりであり、Ｂ１は区分が未知である材料の蛍光指紋情報を取得する手段、Ｂ１０は当該手段で得た蛍光指紋情報、Ｂ２は材料区分とポリフェノール等由来成分の関係を取得する手段、Ｂ２０は当該手段で得た関係、Ｃは前記基準と関係とを照合する手段である。 FIG. 5 shows one aspect of the device. In the figure, A1 and A2 are as defined in FIG. 3, B1 is a means for acquiring fluorescent fingerprint information of a material whose classification is unknown, B10 is fluorescent fingerprint information obtained by the means, and B2 is a material classification. B20 is a means for obtaining the relationship of components derived from polyphenols and the like, B20 is a means for collating the relationship with the standard, and C is a means for collating the relationship with the standard.
本発明において装置はハードウェアとして構成されてもよいが、コンピュータのソフトウェアによって各種機能を実現する機能実現手段の組合せとして構成されてもよい。機能実現手段には、プログラムモジュールが含まれうる。 In the present invention, the device may be configured as hardware, but it may also be configured as a combination of function realizing means for realizing various functions by computer software. The function implementation means may include a program module.
［実施例１］
区分が既知であるたばこ原料として以下を準備した。
黄色種（米国産、タンザニア産、イタリア産、ジンバブエ産、インド産、中国産、ブラジル産）
バーレー種（ブラジル産）
オリエント種（イズミール産、ギリシャ産、タイ産、中国産）[Example 1]
The following were prepared as tobacco raw materials whose classification is known.
Yellow species (US, Tanzania, Italy, Zimbabwe, India, China, Brazil)
Burley (Brazilian)
Orient species (Izmir, Greece, Thailand, China)
各原料のラミナを、粉砕機を用いて最大粒径が１ｍｍ以下になるように粉砕した。当該材料の蛍光指紋情報を取得した（図１）。図１中、１はポリフェノール由来成分またはカロテノイド由来成分に起因するピークであり、３はクロロフィル由来成分に起因するピークであった。
測定条件は以下のとおりである。
測定機器：Ｆ−７０００（蛍光指紋測定装置、日立ハイテクサイエンス社製）
測定法：反射法（ＦｒｏｎｔＦａｃｅ）
測定条件：励起光２００〜６００ｎｍ、蛍光２００〜９００ｎｍ、分解能５ｎｍ、スリット幅５ｎｍ、フォトマル感度７００The lamina of each raw material was crushed using a crusher so that the maximum particle size was 1 mm or less. Fluorescent fingerprint information of the material was acquired (Fig. 1). In FIG. 1, 1 was a peak caused by a polyphenol-derived component or a carotenoid-derived component, and 3 was a peak caused by a chlorophyll-derived component.
The measurement conditions are as follows.
Measuring equipment: F-7000 (fluorescent fingerprint measuring device, manufactured by Hitachi High-Tech Science Corporation)
Measurement method: Reflect face method
Measurement conditions: Excitation light 200-600 nm, fluorescence 200-900 nm, resolution 5 nm, slit width 5 nm, photomultiplier sensitivity 700
得られた蛍光指紋情報について、対象とする成分に関与しない不要な波長を削除した。具体的には、非蛍光成分の除去処理、散乱光の除去処理、低感度領域の削除処理を実施した。さらに蛍光指紋情報についてノーマライズおよびオートスケールを行った。前処理を施した蛍光指紋情報についてソフトウェア「Matlab」を用いて主成分分析を行い、ＰＣ１をポリフェノール由来成分およびカロテノイド由来成分、ＰＣ３をクロロフィル由来成分として、材料区分、ポリフェノール由来成分とカロテノイド由来成分、およびクロロフィル由来成分の関係を示す基準を作成した。結果を図２に示す。図２に示すように、同一区分のたばこ原料が近い位置にプロットされた。これらを例えば目視により各区分にグルーピングすることによって、基準を作成した。 With respect to the obtained fluorescent fingerprint information, unnecessary wavelengths not related to the target component were deleted. Specifically, a non-fluorescent component removal treatment, a scattered light removal treatment, and a low-sensitivity region removal treatment were carried out. Furthermore, the fluorescent fingerprint information was normalized and autoscaled. Principal component analysis was performed on the pretreated fluorescent fingerprint information using the software "Matlab", and PC1 was used as a polyphenol-derived component and a carotenoid-derived component, and PC3 was used as a chlorophyll-derived component. And a standard showing the relationship between chlorophyll-derived components was created. The results are shown in FIG. As shown in FIG. 2, tobacco raw materials of the same category were plotted at close positions. Criteria were created by, for example, visually grouping these into each category.
［実施例２］
実施例１で得た前処理を施した蛍光指紋情報について、ソフトウェア（Eigenvector Research, Inc製「PLS TOOLBOX」）を用いてＰＬＳ判別分析を行い、黄色、オリエント、バーレーのクラスターをそれぞれ、目的変数（１，０，０）、（０，１，０）、（０，０，１）として解析を行い、それぞれの基準を作成した。さらに、基準の妥当性を検証するために、区分が既知の２５のサンプルを当該基準により判別し、実際のサンプルの区分と合致するか調べた。その結果、２４のサンプルについて合致がみられ（判別成績９６％）、当該基準は精度が高いことが明らかとなった。[Example 2]
The pretreated fluorescent fingerprint information obtained in Example 1 was subjected to PLS discriminant analysis using software (“PLS TOOLBOX” manufactured by Eigenvector Research, Inc.), and the yellow, Orient, and Burley clusters were set as the objective variables (respectively). The analysis was performed as 1,0,0), (0,1,0), and (0,0,1), and the respective criteria were created. Furthermore, in order to verify the validity of the criteria, 25 samples with known classifications were discriminated by the criteria and examined to see if they matched the classifications of the actual samples. As a result, a match was found for 24 samples (discrimination result 96%), and it was clarified that the standard was highly accurate.
［実施例３］
区分が既知である茶原料として、紅茶、ほうじ茶、煎茶を準備した。各原料を、粉砕機を用いて最大粒径が１ｍｍ以下になるように粉砕した。実施例１と同条件で当該材料の蛍光指紋情報を取得した。[Example 3]
Black tea, roasted green tea, and sencha were prepared as raw materials for tea whose classification is known. Each raw material was crushed using a crusher so that the maximum particle size was 1 mm or less. Fluorescent fingerprint information of the material was acquired under the same conditions as in Example 1.
［実施例４］
実施例３で得た前処理を施した蛍光指紋情報について、ソフトウェア（Eigenvector Research, Inc製「PLS TOOLBOX」）を用いてＰＬＳ判別分析を行い、紅茶、ほうじ茶、煎茶のクラスターをそれぞれ、目的変数（１，０，０）、（０，１，０）、（０，０，１）として解析を行い、それぞれの基準を作成した（図３）。さらに、基準の妥当性を検証するために、区分が既知の２１のサンプルを当該基準により判別し、実際のサンプルの区分と合致するか調べた。その結果、２０のサンプルについて合致がみられ（判別成績９６％）、当該基準は精度が高いことが明らかとなった。[Example 4]
The pretreated fluorescent fingerprint information obtained in Example 3 was subjected to PLS discriminant analysis using software (“PLS TOOLBOX” manufactured by Eigenvector Research, Inc.), and black tea, roasted green tea, and sencha clusters were set as objective variables (each of them). Analysis was performed as 1,0,0), (0,1,0), and (0,0,1), and the respective criteria were created (Fig. 3). Furthermore, in order to verify the validity of the criteria, 21 samples with known classifications were discriminated by the criteria and examined to see if they matched the classifications of the actual samples. As a result, a match was found for 20 samples (discrimination result 96%), and it was clarified that the standard was highly accurate.
１ ポリフェノール由来成分またはテルペノイド由来成分に起因するピーク
３ クロロフィル由来成分に起因するピーク
Ａ１ 区分が既知である材料の蛍光指紋情報を取得する手段、
Ａ１０ 蛍光指紋情報
Ａ２ 材料区分とポリフェノール等由来成分の関係を示す基準を作成する手段
Ａ２０ 基準
Ｂ１ 区分が未知である材料の蛍光指紋情報を取得する手段
Ｂ１０ 蛍光指紋情報
Ｂ２ 材料区分とポリフェノール等由来成分の関係を取得する手段
Ｂ２０ 関係
Ｃ 基準と関係とを照合する手段1 Peak caused by polyphenol-derived component or terpenoid-derived
A means for acquiring fluorescent fingerprint information of a material whose A1 classification is known,
A10 Fluorescent fingerprint information
A2 Means for creating standards showing the relationship between material classifications and components derived from polyphenols, etc. A20 Standards
Means for acquiring fluorescent fingerprint information of a material whose B1 classification is unknown B10 Fluorescent fingerprint information
B2 Means for obtaining the relationship between material classification and components derived from polyphenols, etc. B20 relationship
C Criteria and means for collating relationships
Claims (14)
区分が既知である前記材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する蛍光指紋情報取得工程、
前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を示す基準を作成する工程を含む、方法。A method of creating criteria for determining the classification of plant-derived materials containing chlorophyll and at least one of polyphenols or terpenoids.
Fluorescence fingerprint information acquisition step of acquiring fluorescence fingerprint information consisting of excitation wavelength, fluorescence wavelength, and fluorescence intensity data of the material whose classification is known.
Analysis is performed using the abundance of a component derived from at least one of the polyphenol or terpenoid in the material and the fluorescent fingerprint information reflecting the abundance of the chlorophyll-derived component as an index, and the abundance is derived from at least one of the material category, the polyphenol or the terpenoid. A method comprising the step of creating a criterion showing the relationship between the ingredients and the chlorophyll-derived ingredients.
前記区分がバーレー種、黄色種、およびオリエント種である、請求項２に記載の方法。The material is a tobacco raw material,
The method according to claim 2, wherein the classification is Burley, Yellow, and Orient.
前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を取得する工程２、
請求項１〜１０のいずれかに記載の基準を準備して、当該基準と工程２で得た関係を照合して当該材料の区分を判別する工程３、を含む、
前記材料の区分を判別する方法。Step 1, Obtaining Fluorescent Fingerprint Information Consisting of Excitation Wavelength, Fluorescence Wavelength, and Fluorescence Intensity Data of Plant-Derived Materials Containing Chlorophyll and At least One of Polyphenols or Terpenoids, of Unknown Classification 1.
Analysis is performed using fluorescent fingerprint information reflecting the abundance of a component derived from at least one of the polyphenol or terpenoid in the material and the abundance of the component derived from chlorophyll as an index, and the abundance is derived from at least one of the material category, the polyphenol or the terpenoid. Step 2 to acquire the relationship between the components and the components derived from chlorophyll,
A step 3 in which the standard according to any one of claims 1 to 10 is prepared, and the relationship obtained in the standard is compared with the relationship obtained in the step 2 to determine the classification of the material is included.
A method for determining the classification of the material.
区分が既知である前記材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する手段（Ａ１）、ならびに
前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を示す基準を作成する手段（Ａ２）、を備える装置。A device for creating criteria for determining the classification of plant-derived materials containing chlorophyll and at least one of polyphenols or terpenoids.
Means for acquiring fluorescence fingerprint information consisting of data on excitation wavelength, fluorescence wavelength, and fluorescence intensity of the material whose classification is known (A1), and abundance of components derived from at least one of polyphenol or terpenoid in the material. A means for analyzing the fluorescent fingerprint information reflecting the abundance of the chlorophyll-derived component as an index and creating a standard showing the relationship between the material classification, the component derived from at least one of the polyphenols or terpenoids, and the chlorophyll-derived component (A2). ), A device equipped with.
請求項１３に記載の手段（Ａ１）および手段（Ａ２）、
前記区分が未知である材料の励起波長、蛍光波長、および蛍光強度のデータからなる蛍光指紋情報を取得する蛍光指紋情報取得手段（Ｂ１）、ならびに前記材料中のポリフェノールまたはテルペノイドの少なくとも一方に由来する成分の存在量と、クロロフィル由来成分の存在量を反映する蛍光指紋情報を指標として解析し、前記材料区分、ポリフェノールまたはテルペノイドの少なくとも一方に由来する成分、およびクロロフィル由来成分の関係を取得する手段（Ｂ２）、ならびに
手段（Ａ２）で得た基準と、手段（Ｂ２）で得た関係とを照合して、前記区分が未知である材料の区分を判別する手段（Ｃ）を備える、装置。A device for determining the classification of plant-derived materials containing chlorophyll and at least one of polyphenols or terpenoids, the classification of which is unknown.
The means (A1) and means (A2) according to claim 13,
Derived from the fluorescence fingerprint information acquisition means (B1) for acquiring fluorescence fingerprint information consisting of data on the excitation wavelength, fluorescence wavelength, and fluorescence intensity of a material whose classification is unknown, and at least one of the polyphenol or terpenoid in the material. A means for analyzing the abundance of components and fluorescent fingerprint information reflecting the abundance of chlorophyll-derived components as an index to obtain the relationship between the material classification, the components derived from at least one of the polyphenols or terpenoids, and the chlorophyll-derived components ( A device comprising B2) and a means (C) for discriminating the classification of a material whose classification is unknown by collating the reference obtained by the means (A2) with the relationship obtained by the means (B2).
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