TW202009472A - Method for creating a standard for distinguishing between plant-derived material containing chlorophyll and at least one of polyphenols or terpenoids, program and device - Google Patents
Method for creating a standard for distinguishing between plant-derived material containing chlorophyll and at least one of polyphenols or terpenoids, program and device Download PDFInfo
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Abstract
Description
本發明係關於對源自包含葉綠素和多酚或萜類之至少一者的植物之材料的區分做判別之基準的作成方法、程式及裝置。 The present invention relates to a method, program, and device for creating a criterion for distinguishing materials derived from plants containing at least one of chlorophyll, polyphenols, or terpenes.
菸草(tobacco,也可稱為煙草)原料係存在有空氣乾燥菸草原料(例如柏利種(Burley)及本土種)、強制火力乾燥菸草原料(例如黃色種)、以及日曬乾燥菸草原料(例如東方種)等之原料區分,但無法以目視來判別區分。就判別菸草原料區分之方法而言,已提案有一種例如依據對菸草原料照射可見光時之反射率而判別菸草原料區分之方法(專利文獻1)。另一方面,已知使用螢光指紋資訊來進行食品材料等之鑑別或定量(非專利文獻1)。 Tobacco (also called tobacco) raw materials include air-dried tobacco raw materials (such as Burley and native species), forced fire-dried tobacco raw materials (such as yellow seeds), and sun-dried tobacco raw materials (such as Oriental species) and other raw materials are distinguished, but they cannot be distinguished visually. Regarding the method of discriminating the classification of tobacco raw materials, a method of discriminating the classification of tobacco raw materials based on the reflectance when the tobacco raw materials are irradiated with visible light has been proposed (Patent Document 1). On the other hand, it is known to use fluorescent fingerprint information to identify or quantify food materials and the like (Non-Patent Document 1).
[專利文獻1]國際公開第2013/132622號 [Patent Literature 1] International Publication No. 2013/132622
[非專利文獻1]杉山純一「利用光的指紋所進行之食品的鑑別‧定量」、食品與容器、2013年、54巻、5號、308至315頁 [Non-Patent Document 1] Junichi Sugiyama "Identification and Quantification of Food Using Light Fingerprints", Food and Containers, 2013, Volume 54, No. 5, pages 308 to 315
菸草原料或茶原料等源自「包含葉綠素和多酚或萜類的至少一者之植物」的材料,係因乾燥等加工步驟或保存狀態而色調變化,故難以用目視來判別區分。專利文獻1所記載之使用可見光來判別該材料之區分的方法雖然簡便,但在反射數據酷似時,則會於判別能力產生問題。實際上,因菸草原料之黃色種與東方種所得的反射率數據酷似(請參照專利文獻1之第2圖),故兩者之判別為困難。有鑑於如此之事情,本發明之課題係提供一種用於以良好精度對源自「包含葉綠素和多酚或萜類之至少一者的植物」之材料的區分做判別之基準及判別方法、程式及裝置。 Materials derived from "plants containing at least one of chlorophyll, polyphenols, or terpenes", such as tobacco raw materials or tea raw materials, change color due to processing steps such as drying or storage conditions, so it is difficult to distinguish visually. Although the method of using visible light to discriminate the distinction of the material described in
本發明人等發現可藉由使用螢光指紋資訊來解決前述課題。亦即,前述課題係藉由以下之本發明而解決。 The inventors found that the aforementioned problem can be solved by using fluorescent fingerprint information. That is, the aforementioned problem is solved by the following invention.
[1]一種方法,係對源自包含葉綠素和多酚或萜類之至少一者的植物之材料的區分做判別之基準的作成方法,該方法係包含下列步驟:螢光指紋資訊取得步驟,係取得由區分為已知之前述材料的激發波長、螢光波長、及螢光強度之數據所構成的螢光指紋資訊;作成基準之步驟,係將反映前述材料中之源自多酚或萜類之至少一者的成分之存在量及源自葉綠素的成分之存在量的螢光指紋資訊作為指標而進行解析,作成顯示前述材料區分、源自多酚或萜類之至少一者的成分、及源自葉綠素的成分之關係的基準。 [1] A method for creating a criterion for distinguishing materials derived from plants containing at least one of chlorophyll and polyphenols or terpenes. The method includes the following steps: fluorescent fingerprint information acquisition step, It is to obtain fluorescence fingerprint information composed of the data of excitation wavelength, fluorescence wavelength, and fluorescence intensity of the aforementioned materials that are known to be known; the step of making a reference will reflect that the aforementioned materials are derived from polyphenols or terpenes The presence of at least one of the components and the fluorescent fingerprint information of the presence of the chlorophyll-derived components are analyzed as indicators, and an ingredient showing at least one of the aforementioned material distinctions, derived from polyphenols or terpenes, and The basis of the relationship between the components derived from chlorophyll.
[2]如[1]項所述之方法,其中,前述材料為菸草原料或茶原料。 [2] The method according to [1], wherein the material is tobacco raw material or tea raw material.
[3]如[2]項所述之方法,其中,前述材料為菸草原料,前述區分為柏利種、黃色種、及東方種。 [3] The method according to [2], wherein the material is a tobacco raw material, and the above-mentioned classifications are Perry species, yellow species, and oriental species.
[4]如[1]至[3]項中任一項所述之方法,其中,前述材料為粉末。 [4] The method according to any one of [1] to [3], wherein the material is powder.
[5]如[4]項所述之方法,其中,前述材料之最大粒徑為1mm以下。 [5] The method according to [4], wherein the maximum particle diameter of the material is 1 mm or less.
[6]如[1]至[5]項中任一項所述之方法,其中,前述螢光指紋資訊取得步驟係包含:照射250至370nm之激發光,測定起因於源自多酚或萜類之至少一者的成分之300至480nm之螢光;或照射350至480nm之激發光,測定起因於源自葉綠素的成分之670至700nm的螢光;或上述兩者。 [6] The method according to any one of the items [1] to [5], wherein the step of acquiring the fluorescent fingerprint information includes: irradiating excitation light of 250 to 370 nm, and measuring the origin of the polyphenol or terpene Fluorescence of 300 to 480 nm of the component of at least one of the above; or irradiation of excitation light of 350 to 480 nm to measure fluorescence of 670 to 700 nm due to the component derived from chlorophyll; or both.
[7]如[1]至[6]項中任一項所述之方法,其中,前述解析為多變量分析(multivariate analysis)。 [7] The method according to any one of items [1] to [6], wherein the analysis is multivariate analysis.
[8]如[7]項所述之方法,其中,前述多變量分析為主成分分析。 [8] The method according to [7], wherein the multivariate analysis is principal component analysis.
[9]如[7]項所述之方法,其中,前述多變量分析為PLS判別分析。 [9] The method according to [7], wherein the multivariate analysis is PLS discriminant analysis.
[10]如[1]至[9]項中任一項所述之方法,其中,前述材料為菸草原料;在取得螢光指紋資訊之步驟前,更包含:將該菸草原料在22℃、60%靜置24小時以上而進行狀態調整之步驟。 [10] The method according to any one of [1] to [9], wherein the material is tobacco raw material; before the step of obtaining fluorescent fingerprint information, the method further includes: Steps of state adjustment after 60% standing for more than 24 hours.
[11]一種方法,係對前述材料之區分做判別的方法,該方法係包含下列步驟:步驟1,係取得螢光指紋資訊,該螢光指紋資訊係由區分為未知之源自包含葉綠素和多酚或萜類之至少一者的植物之材料的激發波長、螢光波長、及螢光強度之數據所構成;步驟2,係將反映前述材料中之源自多酚或萜類之至少一者的成分之存在量及源自葉綠素的成分之存在量的螢光指紋資訊作為指標而進行解析,取得前述材料區分、源自多酚或萜類之至少一者的成分、及源自葉綠素的成分之關係;步驟3,係準備[1]至[10]項中任一項所述之基準,將該基準與步驟2所得之關係予以對照,而判別該材料之區分。 [11] A method for discriminating the distinction between the aforementioned materials, the method includes the following steps:
[12]一種程式,係用以使電腦執行[1]至[11]項中任一項所述之方法。 [12] A program for causing a computer to execute the method described in any one of [1] to [11].
[13]一種裝置,係用以作成對源自包含葉綠素和多酚或萜類之至少一者的植物之材料的區分做判別之基準者,該裝置係具備下列手段:手段(A1),係取得由區分為已知之前述材料的激發波長、螢光波長、及螢光強度之數據所構成的螢光指紋資訊;以及手段(A2),係將反映前述材料中之源自多酚或萜類之至少一者的成分之存在量及源自葉綠素的成分之存在量的螢光指紋資訊作為指標而進行解 析,作成顯示前述材料區分、源自多酚或萜類之至少一者的成分、及源自葉綠素的成分之關係的基準。 [13] An apparatus for making a criterion for distinguishing materials derived from plants containing at least one of chlorophyll and polyphenols or terpenes, the apparatus is provided with the following means: Means (A1), Obtain fluorescence fingerprint information composed of the data of excitation wavelength, fluorescence wavelength, and fluorescence intensity of the aforementioned materials, which are known; and means (A2), which will reflect the polyphenols or terpenes derived from the aforementioned materials The presence of at least one of the components and the fluorescent fingerprint information of the presence of the chlorophyll-derived components are analyzed as indicators, and an ingredient showing at least one of the aforementioned material distinctions, derived from polyphenols or terpenes, and The basis of the relationship between the components derived from chlorophyll.
[14]一種裝置,係對區分為未知之源自包含葉綠素和多酚或萜類之至少一者的植物之材料的區分做判別者,該裝置係具備下列手段:前述[13]項所述之手段(A1)及手段(A2);螢光指紋資訊取得手段(B1),係取得由前述區分為已知之材料的激發波長、螢光波長、及螢光強度之數據所構成的螢光指紋資訊;及手段(B2),係將反映前述材料中之源自多酚或萜類之至少一者的成分之存在量及源自葉綠素的成分之存在量的螢光指紋資訊作為指標而進行解析,取得前述材料區分、源自多酚或萜類之至少一者的成分、及源自葉綠素的成分之關係;以及手段(C),係將手段(A2)所得之基準與手段(B2)所得之關係予以對照,而判別前述區分為未知之材料的區分。 [14] An apparatus for distinguishing the classification of materials derived from plants containing at least one of chlorophyll and polyphenols or terpenes as unknown, the apparatus is provided with the following means: as described in the aforementioned item [13] The means (A1) and means (A2); the fluorescent fingerprint information obtaining means (B1) is to obtain the fluorescent fingerprint composed of the data of the excitation wavelength, fluorescent wavelength, and fluorescent intensity of the materials classified as known above. Information; and means (B2), which analyzes the fluorescent fingerprint information that reflects the presence of at least one of components derived from polyphenols or terpenes and the presence of chlorophyll-derived components in the aforementioned materials as indicators , Obtain the relationship between the aforementioned material classification, the component derived from at least one of polyphenols or terpenes, and the component derived from chlorophyll; and the means (C), obtained from the basis obtained by means (A2) and obtained by means (B2) The relationship is compared, and the distinction between the aforementioned distinctions as unknown materials is judged.
依照本發明,可提供一種用於以良好精度對源自包含葉綠素和多酚或萜類之至少一者的植物之材料的區分做判別之基準及判別方法、程式及裝置。 According to the present invention, it is possible to provide a standard and discrimination method, program, and device for distinguishing materials derived from plants containing at least one of chlorophyll and polyphenols or terpenes with good accuracy.
1‧‧‧起因於源自多酚的成分或源自萜類的成分之尖峰 1‧‧‧ Peaks due to components derived from polyphenols or components derived from terpenes
3‧‧‧起因於源自葉綠素的成分之尖峰 3‧‧‧ Peak due to chlorophyll-derived components
A1‧‧‧取得區分為已知之材料的螢光指紋資訊之手段 A1‧‧‧A method to obtain fluorescent fingerprint information distinguished into known materials
A2‧‧‧作成顯示材料區分與源自多酚等的成分之關係的基準之手段 A2‧‧‧ Create a method to show the relationship between materials and components derived from polyphenols
A10‧‧‧螢光指紋資訊 A10‧‧‧fluorescent fingerprint information
A20‧‧‧基準 A20‧‧‧ benchmark
B1‧‧‧取得區分為未知之材料的螢光指紋資訊之手段 B1‧‧‧A method to obtain fluorescent fingerprint information distinguished as unknown materials
B2‧‧‧取得材料區分與源自多酚等成分之關係的手段 B2‧‧‧A method to obtain the relationship between materials and components derived from polyphenols
B10‧‧‧螢光指紋資訊 B10‧‧‧fluorescent fingerprint information
B20‧‧‧關係 B20‧‧‧Relation
C‧‧‧將基準與關係予以對照之手段 C‧‧‧ Means to compare benchmarks and relationships
第1圖係表示實施例中之螢光指紋的圖。 Fig. 1 is a diagram showing a fluorescent fingerprint in the embodiment.
第2圖係表示使用本發明中之主成分分析的基準之一態樣的圖。 FIG. 2 is a diagram showing one aspect of using the principal component analysis criterion in the present invention.
第3圖係表示使用本發明中之主成分分析的基準之另一態樣的圖。 FIG. 3 is a diagram showing another aspect of using the principal component analysis criterion in the present invention.
第4圖係表示用以實施本發明之裝置的一態樣之圖。 Fig. 4 is a diagram showing an aspect of an apparatus for implementing the present invention.
第5圖係表示用以實施本發明之裝置的另一態樣的圖 Figure 5 is a diagram showing another aspect of an apparatus for implementing the present invention
以下,詳細說明本發明。在本發明中,所謂X至Y係包含其端值之X及Y。 Hereinafter, the present invention will be described in detail. In the present invention, X to Y include X and Y of their end values.
用以對源自包含葉綠素和多酚或萜類之至少一者的植物之材料的區分做判別之基準,係藉由取得該材料之螢光指紋資訊,將反映前述材料中之源自多酚或萜類的至少一者之成分的存在量及源自葉綠素的成分之存在量的螢光指紋資訊作為指標而進行解析,得到前述材料區分、源自多酚或萜類之至少一者的成分、及源自葉綠素的成分之關係,並依據該關係而作成之。該基準亦稱為預先制定的基準。 It is used as the basis for distinguishing the material derived from plants containing at least one of chlorophyll and polyphenols or terpenes. By obtaining the fluorescent fingerprint information of the material, it will reflect the polyphenol derived from the aforementioned material Fluorescence fingerprint information of the presence amount of at least one of the components of terpenes and the amount of presence of the components derived from chlorophyll is analyzed as an index to obtain the components derived from at least one of the aforementioned material classifications and derived from polyphenols or terpenes , And the relationship between the components derived from chlorophyll, and based on this relationship. This benchmark is also called a pre-established benchmark.
所謂源自包含「葉綠素」和「多酚或萜類之至少一者」的植物之材料(以下亦僅稱為「對象材料」),係對該植物施予切斷、成形、加熱、乾燥等加工而成之材料或未加工的植物。所謂萜類係指由複數個異戊二烯單元所鍵結而成之天然有機化合物群,其例可舉出類胡蘿蔔素。植物中所含之葉綠素及多酚或萜類,係可能因加工或經時變化而代謝。因此,對象材料係包含葉綠素或葉綠素代謝物、多酚或多酚代謝物、以及萜類或萜類代謝物。對象材料可舉出菸草原料或茶原料。所謂菸草原料係指 將菸草之葉及莖等予以加工而得之原料。菸草原料亦可包括除莖葉、中莖、再生菸草(亦即,將工廠之作業步驟所產生的葉屑、碎屑、中莖屑、細粉等予以加工成可再使用之薄片等形狀的菸草材料)、或此等之混合物的任一者。所謂茶原料係將茶葉及茶莖等予以加工所得之原料。所謂材料區分係指依據該材料之屬性而得之區分。菸草原料之區分係可舉出以乾燥方法所得之區分,亦即,屬於空氣乾燥菸草原料(例如柏利種及本土種)、強制火力乾燥菸草原料(例如黃色種)、以及日曬乾燥菸草原料(例如東方種)之任一者的區分。因此,可舉出用以對菸草原料是否屬於柏利種、黃色種、及東方種中之任一者的區分做判別之基準作為一態樣。此外,關於茶原料,可提供用以對是否屬於煎茶、深蒸茶、焙茶、烏龍茶、紅茶等之任一者的區分做判別之基準作為一態樣。 The so-called material derived from a plant containing "chlorophyll" and "at least one of polyphenols or terpenes" (hereinafter also simply referred to as "target material") is to cut, shape, heat, and dry the plant Processed materials or unprocessed plants. The term “terpenoids” refers to a group of natural organic compounds bonded by a plurality of isoprene units, and examples thereof include carotenoids. Chlorophyll and polyphenols or terpenes contained in plants may be metabolized by processing or changes over time. Therefore, the target material system includes chlorophyll or chlorophyll metabolites, polyphenols or polyphenol metabolites, and terpenes or terpene metabolites. Target materials include tobacco raw materials and tea raw materials. The so-called tobacco raw materials refer to raw materials obtained by processing tobacco leaves and stems. Tobacco raw materials may also include stem leaves, middle stems, and regenerated tobacco (that is, the leaves, debris, middle stem chips, fine powders, etc. produced in the factory's operating steps are processed into reusable flakes and other shapes Tobacco material), or any of these mixtures. The so-called tea raw material is a raw material obtained by processing tea leaves and tea stems. The so-called material distinction refers to the distinction based on the properties of the material. Tobacco raw materials can be classified by the drying method, that is, air-dried tobacco raw materials (such as Baili and native species), forced fire-dried tobacco raw materials (such as yellow species), and sun-dried tobacco raw materials (For example, Oriental species). Therefore, the standard for distinguishing whether the tobacco raw material belongs to any one of the Bailey species, the yellow species, and the Oriental species can be cited as one aspect. In addition, regarding the tea raw materials, a standard for distinguishing whether it belongs to any one of sencha, deep-steamed tea, roasted tea, oolong tea, black tea, etc. can be provided as an aspect.
在本步驟中,係取得區分為已知之對象材料的螢光指紋資訊。所謂螢光指紋資訊,係指照射激發光而測定螢光波長與螢光強度,並由激發波長、螢光波長、及螢光強度之數據所構成之三維螢光圖案。該測定較佳係(1)照射250至370nm之激發光,測定起因於源自多酚或萜類的成分之300至480nm的螢光;或(2)照射350至480nm之激發光,測定起因於源自葉綠素的成分之670至700nm的螢光;或包含(1)及(2)兩者。各波長係依據對象物之特性而適當調整。例如,對於菸草原料,(1)中之激發光波長較佳係可設為320至370nm,更佳係可設為360nm,螢光波長較佳係可設為380至480nm,更佳係可設為460nm,(2)中之激發光波長係可設 為400nm,螢光波長係可設為680nm。起因於源自葉綠素的成分之螢光,係起因於葉綠素及葉綠素代謝物之螢光。起因於源自多酚的成分及源自萜類的成分之螢光亦為同樣。 In this step, the fluorescent fingerprint information of the known target material is obtained. The so-called fluorescent fingerprint information refers to a three-dimensional fluorescent pattern composed of data of excitation wavelength, fluorescent wavelength, and fluorescent intensity, which is measured by irradiating excitation light to measure fluorescent wavelength and fluorescent intensity. The measurement is preferably (1) irradiation with excitation light of 250 to 370 nm and measurement of fluorescence from 300 to 480 nm due to components derived from polyphenols or terpenes; or (2) irradiation with excitation light of 350 to 480 nm and measurement of cause Fluorescence from 670 to 700 nm derived from chlorophyll-derived components; or including both (1) and (2). Each wavelength is adjusted appropriately according to the characteristics of the object. For example, for tobacco raw materials, the excitation light wavelength in (1) can be preferably set to 320 to 370 nm, more preferably can be set to 360 nm, and the fluorescent wavelength can be preferably set to 380 to 480 nm, more preferably can be set It is 460 nm, the excitation light wavelength in (2) can be set to 400 nm, and the fluorescence wavelength can be set to 680 nm. Fluorescence from components derived from chlorophyll is fluorescence from chlorophyll and chlorophyll metabolites. The fluorescence derived from the components derived from polyphenols and the components derived from terpenes is also the same.
供於測定之對象材料的性狀係無限定,但較佳係將對象材料予以粉碎而形成均勻的粉末以供於測定。材料所含之各成分係均勻分散,故可進行高精度之測定。粉碎係可使用公知之機器。最大粒徑係以1mm以下為較佳。最大粒徑係藉由通過指定大小之網目而決定。例如菸草原料係可舉出層狀物、碎屑、粉末,但較佳係將其予以粉碎成前述粒徑後充分混合而供於測定。供於測定之對象材料較佳係於事前經狀態調整成使水分量成為一定。例如若為菸草原料,則較佳係以調和條件(22℃、60%)儲藏放置24小時以上。儲藏放置之時間的上限係無限定,但以30小時以內為較佳。 The properties of the material to be measured are not limited, but it is preferable to pulverize the material to form a uniform powder for measurement. Each component contained in the material is uniformly dispersed, so high-precision measurement can be performed. A well-known machine can be used for pulverization. The maximum particle size is preferably 1 mm or less. The maximum particle size is determined by passing a mesh of a specified size. For example, the tobacco raw material system may include layers, crumbs, and powders, but it is preferable to pulverize it to the aforementioned particle size, and then thoroughly mix them for measurement. The material to be measured is preferably adjusted in advance so that the moisture content becomes constant. For example, if it is a tobacco raw material, it is preferably stored and stored for 24 hours or more under a condition of adjustment (22°C, 60%). The upper limit of the storage time is not limited, but it is preferably within 30 hours.
在本步驟中,係將反映前述材料中之源自多酚或萜類之至少一者的成分之存在量及源自葉綠素的成分之存在量的螢光指紋資訊作為指標來而進行解析。解析係可使用主成分分析、判別分析、決策樹分析、階層性數據分析、非階層群簇化分析等多變量分析,但其中係以主成分分析或PLS判別分析為較佳。所謂主成分分析,係以使主成分之分散成為最大之方式挑選出主成分之手法,且為只使用解釋變數來進行主成分分析並在所得之主成分與目標變數之間以最小平方法進行多元回歸分析之手法。例如,對於螢光指紋資訊進行主成分分析,採用第1主成分(PC1)作為有關源自多 酚的成分、源自萜類的成分或其兩者之資訊,並採用第3主成分(PC3)作為有關源自葉綠素的成分之資訊。若從第1主成分與第3成分之分數作成二維圖表,則可作成顯示材料區分、源自多酚的成分或源自萜類的成分之一者或其兩者、及源自葉綠素的成分之關係的二維圖。在該二維圖中,藉由進行用以判別各材料區分之群組化,而可作成各材料區分之基準。群組化係亦可使用統計性手法,但較佳係考量未知之原料樣本與已知之原料樣本之作圖群的近似性等而實施。若測定屬於不同區分之複數個對象材料,則可作成精度更高的基準。尤其,關於菸草原料,在黃色種、柏利種及東方種中,源自多酚的成分、源自萜類的成分及源自葉綠素的成分之存在量係分別相異,故可作成精度高之基準。第2圖係表示使用用以對菸草原料是否屬於黃色種、柏利種、及東方種之任一者的區分做判別之主成分分析的基準之一例。該步驟所使用之演算法係可為更汎用性且亦對應於非線形現象之機械學習演算法,例如支援向量機(support vector machine,SVM)、隨機森林(random forest,RF)、神經網路(neural network)等。 In this step, fluorescent fingerprint information reflecting the amount of at least one of the components derived from polyphenols or terpenes and the amount of components derived from chlorophyll in the aforementioned materials is analyzed as an index. The analytical system can use multivariate analysis such as principal component analysis, discriminant analysis, decision tree analysis, hierarchical data analysis, and non-hierarchical clustering analysis. However, it is better to use principal component analysis or PLS discriminant analysis. The so-called principal component analysis is a method of selecting principal components in such a way as to maximize the dispersion of the principal components, and to perform principal component analysis using only explanatory variables and to perform the least squares method between the resulting principal components and the target variables The method of multiple regression analysis. For example, for the principal component analysis of fluorescent fingerprint information, the first principal component (PC1) is used as information about the component derived from polyphenols, the component derived from terpenes, or both, and the third principal component (PC3) is used ) As information about ingredients derived from chlorophyll. If a two-dimensional graph is prepared from the fractions of the first main component and the third component, it can be created to show the material classification, one or both of components derived from polyphenols or components derived from terpenes, and those derived from chlorophyll Two-dimensional diagram of the relationship of the components. In this two-dimensional diagram, by performing grouping to distinguish each material distinction, a reference for each material distinction can be made. Grouping can also use statistical methods, but it is preferably implemented by considering the similarity of the drawing group of unknown raw material samples and known raw material samples. If a plurality of target materials belonging to different divisions are measured, a reference with higher accuracy can be made. In particular, regarding the tobacco raw materials, in the yellow species, the berry species, and the oriental species, the polyphenol-derived components, terpene-derived components, and chlorophyll-derived components are present in different amounts, so they can be made with high accuracy Benchmark. Figure 2 shows an example of a criterion for principal component analysis used to distinguish whether the tobacco raw material belongs to any of yellow, berry, and oriental species. The algorithm used in this step may be a more versatile machine learning algorithm that also corresponds to a non-linear phenomenon, such as support vector machine (SVM), random forest (RF), neural network ( neural network) etc.
PLS回歸分析係以使主成分與目標變數之共分散成為最大之方式而挑選出主成分之方法。PLS判別分析係指將前述變數作為0與1之變數而進行之分析。對於螢光指紋資訊進行PLS判別分析時,例如將黃色、東方、柏利之群簇分別作為目標變數(1,0,0)、(0,1,0)、(0,0,1)而進行解析,作成各別之基準。 PLS regression analysis is a method of selecting principal components in such a way as to maximize the co-dispersion of principal components and target variables. PLS discriminant analysis refers to the analysis of the aforementioned variables as variables of 0 and 1. For PLS discriminant analysis of fluorescent fingerprint information, for example, the clusters of yellow, oriental, and Bailey are used as target variables (1,0,0), (0,1,0), (0,0,1), respectively. Analyze and make individual benchmarks.
如前所述,所作成之基準係可用於區分為未知之材料的區分之判別方法。該方法係包含以下之步驟。 As mentioned earlier, the benchmarks made can be used to distinguish between materials that are unknown. The method includes the following steps.
步驟1:取得由區分為未知之對象材料的激發波長、螢光波長、及螢光強度之數據所構成的螢光指紋資訊。 Step 1: Obtain fluorescent fingerprint information composed of data of excitation wavelength, fluorescent wavelength, and fluorescent intensity that are classified as unknown target materials.
步驟2:將反映前述材料中之源自多酚或萜類之至少一者的成分之存在量及源自葉綠素的成分之存在量的螢光指紋資訊作為指標而進行解析,取得源自多酚或萜類之至少一者的成分及源自葉綠素的成分之關係。 Step 2: Analyze fluorescent fingerprint information reflecting the presence of at least one of polyphenols or terpenes in the aforementioned materials and the presence of chlorophyll-derived components as indicators to obtain polyphenol-derived Or the relationship between the component of at least one of terpenes and the component derived from chlorophyll.
步驟3:準備前述基準,將該基準與步驟2所得之關係予以對照,而判別該材料之區分。 Step 3: Prepare the aforementioned benchmark, compare the benchmark and the relationship obtained in Step 2, and judge the distinction of the material.
步驟1係可如基準之作成方法所述而實施。在步驟2中,例如使用主成分分析作為解析手法時,如基準之作成方法所述而進行分析,對於區分為未知之對象材料係求出第1主成分(PC1)與第3主成分(PC3)之分數。繼而,在步驟3中,將該分數於前述基準上作圖而對照,可將區分為未知之對象材料之材料區分予以特定。
所謂程式係指依據任意之語彙或記述方法而記述之數據處理方法,不論為原始碼或二元碼等之形式均在所不問。此外,程式係可以單一之形式所構成,但亦可以複數個模組或程式庫(Library)之形式而分散構成,另外,亦可以與其他之既存程式聯動而達成其功能之方式而構成。 The so-called program refers to the data processing method described according to any vocabulary or description method, regardless of the form of the original code or binary code, etc. In addition, the program can be composed in a single form, but it can also be distributed in the form of a plurality of modules or libraries (Library). In addition, it can also be structured in a way to achieve its function in conjunction with other existing programs.
該裝置係具備下列手段:手段(A1),係取得由區分為已知之前述材料之激發波長、螢光波長、及螢光強度之數據所構成的螢光指紋資訊;以及手段(A2),係將反映前述材料中之源自多酚或萜類之至少一者的成分之存在量及源自葉綠素的成分之存在量的螢光指紋資訊作為指標而進行解析,作成顯示前述材料區分、源自多酚或萜類之至少一者的成分、及源自葉綠素的成分之關係的基準。 The device is provided with the following means: means (A1), which obtains fluorescent fingerprint information composed of data distinguishing the excitation wavelength, fluorescence wavelength, and fluorescence intensity of the aforementioned material known; and means (A2), which is The fluorescent fingerprint information reflecting the amount of at least one of the components derived from polyphenols or terpenes and the amount of the components derived from chlorophyll in the aforementioned materials is analyzed as an indicator to show that the aforementioned materials are distinguished from The basis of the relationship between the components of at least one of polyphenols and terpenes and the components derived from chlorophyll.
在第4圖表示該裝置之一態樣。圖中,A1係取得區分為已知之材料的螢光指紋資訊之手段,A10係以該手段獲得之螢光指紋資訊,A2係作成顯示材料區分與源自多酚等的成分之關係的基準之手段,A20係以該手段獲得之基準。 Fig. 4 shows an aspect of the device. In the figure, A1 is a means to obtain fluorescent fingerprint information that is classified as a known material, A10 is a fluorescent fingerprint information obtained by this method, and A2 is used as a reference to show the relationship between the material classification and components derived from polyphenols, etc. Means, A20 is based on the benchmark obtained by this means.
該裝置係具備下列手段:前述手段(A1)及手段(A2),螢光指紋資訊取得手段(B1),係取得由前述區分為已知之材料的激發波長、螢光波長、及螢光強度之數據所構成的螢光指紋資訊;及手段(B2),係將反映前述材料中之源自多酚或萜類之至少一者的成分之存在量及源自葉綠素的成分之存在量的螢光指紋資訊作為指標而進行解析,取得前述材料區分、源自多酚或萜類之至少一者的成分、及源自葉綠素的成分之關係;以及 手段(C),係將手段(A2)所得之基準與手段(B2)所得之關係予以對照,而判別前述區分為未知之材料的區分。 The device is equipped with the following means: the aforementioned means (A1) and means (A2), and the fluorescent fingerprint information obtaining means (B1), which obtains the excitation wavelength, fluorescent wavelength, and fluorescent intensity of the materials classified as known by the foregoing Fluorescent fingerprint information constituted by the data; and means (B2), which will reflect the amount of the presence of at least one component derived from polyphenols or terpenes and the amount of the component derived from chlorophyll in the aforementioned materials Fingerprint information is analyzed as an index to obtain the relationship between the aforementioned material classification, the component derived from at least one of polyphenols or terpenes, and the component derived from chlorophyll; and means (C), obtained by means (A2) The relationship between the reference and the means (B2) is compared, and the aforementioned division is judged as the division of the unknown material.
在第5圖表示該裝置之一態樣。圖中,A1與A2係如第3圖定義,B1係取得區分為未知之材料的螢光指紋資訊之手段,B10係以該手段獲得之螢光指紋資訊,B2係取得材料區分與源自多酚等的成分之關係的手段,B20係以該手段獲得之關係,C係將前述基準與關係進行對照之手段。 Fig. 5 shows an aspect of the device. In the figure, A1 and A2 are as defined in Figure 3. B1 is a means to obtain fluorescent fingerprint information distinguished as unknown materials. B10 is a means to obtain fluorescent fingerprint information obtained by this method. B2 is a material distinction and derived from multiple For the relationship between phenol and other components, B20 is the relationship obtained by this method, and C is the method for comparing the aforementioned reference with the relationship.
在本發明中,裝置係可構成為硬體之形式,但亦可構成為藉由電腦之軟體而實現各種功能之功能實現手段的組合之形式。功能實現手段係可包含程式模組。 In the present invention, the device may be configured in the form of hardware, but may also be configured in the form of a combination of function realization means for realizing various functions by software of the computer. The function realization means may include a program module.
準備下述者,作為區分為已知之菸草原料。 The following are prepared as the tobacco raw materials classified as known.
黃色種(美國產、坦尚尼亞產、義大利產、辛巴威產、印度產、中國產、巴西產) Yellow species (America, Tanzania, Italy, Zimbabwe, India, China, Brazil)
柏利種(巴西產) Perry (made in Brazil)
東方種(伊茲密爾產、希臘產、泰國產、中國產) Oriental species (from Izmir, from Greece, from Thailand, from China)
將各原料之層狀物使用粉碎機予以粉碎成最大粒徑為1mm以下。取得該材料之螢光指紋資訊(第1圖)。第1圖中,1係起因於源自多酚的成分或源自類胡蘿蔔素的成分之尖峰,3係起因於源自葉綠素的成分之尖峰。 The layered material of each raw material was pulverized using a pulverizer to a maximum particle size of 1 mm or less. Obtain the fluorescent fingerprint information of the material (Figure 1). In the first figure, 1 is caused by the peak of the component derived from polyphenol or carotenoid, and 3 is caused by the peak of the component derived from chlorophyll.
測定條件係如下述。 The measurement conditions are as follows.
測定機器:F-7000(螢光指紋測定裝置、日立High Tech Science公司製) Measuring device: F-7000 (fluorescent fingerprint measuring device, manufactured by Hitachi High Tech Science)
測定法:反射法(Front Face) Measurement method: reflection method (Front Face)
測定條件:激發光200至600nm、螢光200至900nm、解析能力5nm、狹縫寬5nm、光電倍增管靈敏度700 Measurement conditions:
對於所得之螢光指紋資訊,刪除與作為對象之成分無關的不必要的波長。具體而言,實施非螢光成分之除去處理、散射光之除去處理、低靈敏度區域之刪除處理。再者,對於螢光指紋資訊,進行正規化及自動調整規模(autoscale)。對於經施予前處理之螢光指紋資訊係使用軟體「Matlab」進行主成分分析,以PC1作為源自多酚的成分及源自類胡蘿蔔素的成分、以PC3作為源自葉綠素的成分,作成顯示材料區分、源自多酚的成分與源自類胡蘿蔔素的成分、及源自葉綠素的成分之關係的基準。將結果表示於第2圖。如第2圖所示,相同區分之菸草原料係被作圖於相近的位置。將此等以例如目視進行群組化成各區分,藉此而作成基準。 For the obtained fluorescent fingerprint information, unnecessary wavelengths irrelevant to the target component are deleted. Specifically, non-fluorescent component removal processing, scattered light removal processing, and low-sensitivity area deletion processing are performed. Furthermore, the fluorescent fingerprint information is normalized and automatically adjusted (autoscale). The pre-processed fluorescent fingerprint information was analyzed using the software "Matlab" for the main components, using PC1 as the component derived from polyphenols and carotenoid, and PC3 as the component derived from chlorophyll. The basis of the relationship between the material classification, the polyphenol-derived component and the carotenoid-derived component, and the chlorophyll-derived component. The results are shown in Figure 2. As shown in Figure 2, tobacco materials of the same division are plotted at similar positions. This is grouped into, for example, visually grouped into individual divisions, thereby creating a reference.
對於實施例1獲得之經施予前處理的螢光指紋資訊,使用軟體(Eigenvector Research,Inc製「PLS TOOLBOX」)進行PLS判別分析,以黃色、東方、柏利之群簇分別作為目標變數(1,0,0)、(0,1,0)、(0,0,1)而進行解析,作成各別之基準。再者,為了驗證基準之妥當性,依據該基準來對區分為已知之25個樣本做判別,研究是否與實際之樣本區分為一致。 結果,有24個樣本經確認為一致(判別成績96%),可見該基準之精度為高。 For the pre-processed fluorescent fingerprint information obtained in Example 1, PLS discriminant analysis was performed using software ("PLS TOOLBOX" manufactured by Eigenvector Research, Inc.), and the clusters of yellow, oriental, and Bailey were used as target variables (1 ,0,0), (0,1,0), (0,0,1) and analyze them to create separate benchmarks. Furthermore, in order to verify the validity of the benchmark, the 25 samples classified as known are judged based on the benchmark, and whether the research is consistent with the actual samples. As a result, 24 samples were confirmed to be consistent (96% discriminant score), which shows that the accuracy of the benchmark is high.
準備紅茶、焙茶、煎茶作為區分為已知之茶原料。將各原料使用粉碎機予以粉碎成最大粒徑為1mm以下。以與實施例1相同之條件,取得該材料之螢光指紋資訊。 Black tea, roasted tea, and sencha are prepared as the raw materials of tea that are classified as known. Each raw material was pulverized using a pulverizer to a maximum particle size of 1 mm or less. The fluorescent fingerprint information of the material was obtained under the same conditions as in Example 1.
對於實施例3獲得之經施予前處理的螢光指紋資訊,使用軟體(Eigenvector Research,Inc製「PLS TOOLBOX」)進行PLS判別分析,以紅茶、焙茶、煎茶之群簇分別作為目標變數(1,0,0)、(0,1,0)、(0,0,1)而進行解析,作成各別之基準(第3圖)。再者,為了驗證基準之妥當性,依據該基準對區分為已知之21個樣本做判別,研究是否與實際之樣本區分為一致。結果,有20個樣本經確認為一致(判別成績96%),可見該基準之精度為高。 For the pre-processed fluorescent fingerprint information obtained in Example 3, PLS discriminant analysis was performed using software ("PLS TOOLBOX" manufactured by Eigenvector Research, Inc.), and the clusters of black tea, roasted tea, and simmered tea were used as target variables ( 1,0,0), (0,1,0), (0,0,1) and analyzed to create separate benchmarks (Figure 3). In addition, in order to verify the validity of the benchmark, 21 samples classified as known based on the benchmark are judged, and whether the research is consistent with the actual samples. As a result, 20 samples were confirmed to be consistent (96% discriminant score), which shows that the accuracy of the benchmark is high.
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