JP3495185B2 - Method and apparatus for measuring rice taste value - Google Patents

Method and apparatus for measuring rice taste value

Info

Publication number
JP3495185B2
JP3495185B2 JP10082696A JP10082696A JP3495185B2 JP 3495185 B2 JP3495185 B2 JP 3495185B2 JP 10082696 A JP10082696 A JP 10082696A JP 10082696 A JP10082696 A JP 10082696A JP 3495185 B2 JP3495185 B2 JP 3495185B2
Authority
JP
Japan
Prior art keywords
grade
sample
spectrum
standard spectrum
standard
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
JP10082696A
Other languages
Japanese (ja)
Other versions
JPH09288056A (en
Inventor
顕一 達林
肇 三留
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nireco Corp
Original Assignee
Nireco Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nireco Corp filed Critical Nireco Corp
Priority to JP10082696A priority Critical patent/JP3495185B2/en
Publication of JPH09288056A publication Critical patent/JPH09288056A/en
Application granted granted Critical
Publication of JP3495185B2 publication Critical patent/JP3495185B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Landscapes

  • Investigating Or Analysing Materials By Optical Means (AREA)

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【発明の属する技術分野】本発明は、近赤外線分析法を
用いて米の食味を表す等級を推定する米の食味値測定方
法および装置に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and an apparatus for measuring the taste value of rice, which estimates a grade representing the taste of rice using near infrared analysis.

【0002】[0002]

【従来の技術】米の食味値は、所定の方法によって炊飯
された飯を複数のパネラーによって試食し、それらの結
果を統計的手段を使って、できるだけ標準的評価に近づ
けて米の評価を行っている。評価項目は一般に「外観」
「味」「硬さ」「粘り」「香り」「総合食味」について
行われている。また近赤外線分析法を用い米粒を試料と
して近赤外光を照射して直接食味値を測定する食味値測
定装置も市販されている。また、近赤外線分析法を用い
た他の例として米粒中の含有成分即ちタンパク質、アミ
ロース、水分、脂肪酸度等を近赤外線分析で測定し、そ
れらの構成度合いから食味値を測定する方法も行われて
いる。特公平6−12331号公報には炊飯の正反射光
を偏光で検出し、米の表面の状態から米の食味を検出す
る方法が開示されている。
2. Description of the Related Art Regarding the taste value of rice, the rice cooked by a predetermined method is sampled by a plurality of panelists, and the results are evaluated as close to the standard evaluation as possible by using statistical means. ing. Evaluation items are generally “appearance”
"Taste", "hardness", "stickiness", "aroma", and "general taste" are conducted. In addition, a taste value measuring device that directly measures the taste value by irradiating near infrared light with rice grains as a sample using the near infrared analysis method is also commercially available. Further, as another example using the near-infrared analysis method, a method of measuring components contained in rice grains, that is, protein, amylose, water content, fatty acid degree, etc. by near-infrared analysis, and measuring the taste value from the degree of their composition is also performed. ing. Japanese Patent Publication No. 6-12331 discloses a method of detecting the specularly reflected light of cooked rice as polarized light and detecting the taste of rice from the surface condition of the rice.

【0003】[0003]

【発明が解決しようとする課題】パネラーの試食による
官能試験は、通常12〜24人のパネラーを必要とし、
試料米を試食するため1日の測定では数点しか行えず、
測定値の再現性にも問題がある。また試料米に近赤外線
を照射して直接食味値を測定する方法は、試料米の全粒
米に対する近赤外線照射の反射光または透過光のスペク
トルを解析するものであるが、食味値の違いによる近赤
外領域での吸光度の変化は非常に小さく、米の食味値の
違いを表すとされる呈味物質以外の水分やデンプン、タ
ンパク質などの基本成分変動や、試料の粒度変化等の物
理的要因によるスペクトルの散乱による双方の干渉を受
け、精度の高い食味測定が難しいという問題がある。ま
た、近赤外線分析法により米粒中の成分の構成度合いか
ら食味を推定する方法は、通常の炊飯に供せられるジャ
ポニカ米のタンパク質、アミロース等の含有成分の範囲
は狭く、官能で求められた評価値との相関は余り高くな
い。また特公平6−12331号公報の技術では米を炊
飯して測定する必要があるため、手間がかかり、ユーザ
が求める非破壊検査の要望に応じられない。
The sensory test by tasting panelists usually requires 12 to 24 panelists,
Only a few points can be measured in one day to sample the rice,
There is also a problem with the reproducibility of measured values. In addition, the method of directly measuring the taste value by irradiating the sample rice with near infrared rays is to analyze the spectrum of the reflected light or the transmitted light of the near infrared irradiation for the whole grain rice of the sample rice, but it depends on the difference in taste value. Changes in absorbance in the near-infrared region are very small, and variations in basic components such as water, starch, and proteins other than taste substances, which are said to represent differences in the eating quality of rice, and physical changes such as sample particle size changes There is a problem that it is difficult to measure the taste with high accuracy due to interference of both due to scattering of the spectrum due to factors. In addition, the method of estimating the taste from the compositional degree of the components in the rice grain by the near-infrared analysis method, the range of the contained components such as protein and amylose of Japonica rice used for ordinary rice cooking is narrow, and the evaluation obtained by sensory evaluation. The correlation with the value is not very high. Further, in the technique of Japanese Patent Publication No. 6-12331, it is necessary to cook rice and measure it, which is troublesome and cannot meet the demand of the nondestructive inspection required by the user.

【0004】本発明は、上述の問題点に鑑みてなされた
もので、近赤外線分析法を用いて米の食味値を炊飯する
ことなく精度よく測定できる米の食味値測定方法および
装置を提供することを目的とする。
The present invention has been made in view of the above-mentioned problems, and provides a method and apparatus for measuring the taste value of rice which can be accurately measured by using the near infrared analysis method without cooking the rice. The purpose is to

【0005】[0005]

【課題を解決するための手段】[Means for Solving the Problems]

【0006】[0006]

【0007】[0007]

【0008】[0008]

【0009】[0009]

【0010】[0010]

【0011】[0011]

【0012】[0012]

【0013】[0013]

【0014】[0014]

【0015】[0015]

【0016】上記の目的を達成するため、本発明は、官
能試験に基づく食味を表す等級が判明している精白米を
各等級毎に複数試料準備し、各等級毎にこの試料の精白
米の表層を研削して表層部分の第1試料と残りの第2試
料を作成し、第1試料に近赤外光を照射して得られた第
1スペクトルの各波長の吸光度を求め、同一等級の第1
試料について各波長の吸光度を各第1試料の同一波長の
吸光度の平均値で構成した標準スペクトルを各等級毎に
求め、各等級について各第1試料の第1スペクトルと各
等級の標準スペクトルとを比較し第1試料を自己の属す
る等級の標準スペクトルに最も類似している第1グルー
プと、自己の属する等級より下の標準スペクトルに最も
類似している第2グループと、自己の属する等級より上
の標準スペクトルに最も類似する第3グループに分け、
各等級について、各第1試料に対応する第2試料につい
て近赤外光を照射して第2スペクトルを求め、第1グル
ープの第1試料に対応する第2試料のスペクトルを第1
標準スペクトルとし、第2グループの第1試料に対応す
る第2試料のスペクトルを第2標準スペクトルとし、第
3グループの第1試料に対応する第2試料のスペクトル
を第3標準スペクトルとし、被測定試料の精白米の表層
を研削して表層部の第1試料と残りの第2試料を作成
し、第1試料に近赤外光を照射して第1スペクトルを求
め、この第1スペクトルを各等級の前記標準スペクトル
と比較して最も類似した標準スペクトルを求めてこの標
準スペクトルの等級を初期等級とし、次に第2試料に近
赤外光を照射して第2スペクトルを求め、前記初期等級
の第1標準スペクトル、第2標準スペクトル、第3標準
スペクトルと比較し第1標準スペクトルと最も類似した
ときは前記初期等級を被測定試料の等級とし、第2標準
スペクトルと最も類似したときは初期等級より1段下の
等級とし、第3標準スペクトルと最も類似したときは初
期等級より1段上の等級とすることを特徴とする米の食
味値測定方法を提供する。
In order to achieve the above-mentioned object, the present invention prepares a plurality of samples of milled rice of which grades showing the taste based on a sensory test are known, and prepares samples of the milled rice of each sample for each grade. The surface layer was ground to prepare the first sample and the remaining second sample of the surface layer portion, and the absorbance of each wavelength of the first spectrum obtained by irradiating the first sample with near-infrared light was determined to obtain the same grade. First
For each sample, a standard spectrum composed of the average value of the absorbance of the same wavelength of each first sample was obtained for each grade, and the first spectrum of each first sample and the standard spectrum of each grade were obtained for each grade. In comparison, the first sample is most similar to the standard spectrum of the grade to which it belongs, the first group that is most similar to the standard spectrum below the grade to which it belongs, and above the grade to which it belongs. Into a third group that is most similar to the standard spectrum of
For each grade, the second sample corresponding to each first sample is irradiated with near-infrared light to obtain a second spectrum, and the spectrum of the second sample corresponding to the first sample of the first group
The standard spectrum is used, the spectrum of the second sample corresponding to the first sample of the second group is used as the second standard spectrum, and the spectrum of the second sample corresponding to the first sample of the third group is used as the third standard spectrum. The surface layer of polished rice of the sample is ground to prepare a first sample of the surface layer and the remaining second sample, and the first sample is irradiated with near-infrared light to obtain a first spectrum. The most similar standard spectrum is obtained by comparing with the standard spectrum of the grade, and the grade of this standard spectrum is used as the initial grade, and then the second sample is irradiated with near infrared light to obtain the second spectrum, and the initial grade is obtained. The first standard spectrum, the second standard spectrum, and the third standard spectrum are compared, and when the first standard spectrum is the most similar, the initial grade is used as the grade of the sample to be measured, and the second standard spectrum and the most similar type. When is a grade one step below the initial grade, when most similar to the third standard spectrum to provide a rice palatability measuring method characterized in that a grade 1 level upper than the initial grade.

【0017】本発明は、精白米の表層から求めた等級を
表層を除いた残りの部分のスペクトルに基づき修正する
方法である。精白した米の味に関係が深いのは、通常、
精白後の米の表面部分であるが、一方、米は噛んで食べ
るので表面部分を除いた残りの胚乳の中央部も食味に関
係する。このため、この中央部でも食味を評価し、表面
で求めた評価の確認とその修正とを行う。
The present invention is a method of correcting the grade obtained from the surface layer of polished rice based on the spectrum of the remaining portion excluding the surface layer. It is usually related to the taste of polished rice
It is the surface part of rice after pearling, but on the other hand, since the rice is chewed and eaten, the central part of the remaining endosperm excluding the surface part is also related to the taste. For this reason, the taste is evaluated also in this central part, and the evaluation obtained on the surface is confirmed and its correction is performed.

【0018】官能試験により食味を表す等級の判明して
いる精白米を各等級ごとに数十サンプルずつ準備し、表
層を研削した表層部よりなる第1試料とその残りの中央
部よりなる第2試料を対応させておく。各等級ごとにそ
こに含まれる全ての第1試料を近赤外光で照射し、得ら
れた第1スペクトルの各波長、例えば2nm毎の波長の
吸光度の平均値を求め、この平均値よりなるスペクトル
を標準スペクトルとすると、各等級ごとに標準スペクト
ルが得られる。次に各等級について、各第1試料のスペ
クトルと、各等級の標準スペクトルとを比較し、自己の
属する等級の標準スペクトルに最も類似したスペクトル
を有する第1試料の集合を第1グループとする。当然大
部分の第1試料は第1グループに属する。しかし自己の
属する等級より下の等級の第1試料の標準スペクトルに
最も類似する第1試料も表れ、この第1試料の集合を第
2グループとし、同様に自己の属する等級より上の等級
の標準スペクトルに最も類似する第1試料の集合を第3
グループとする。このような第2、第3グループに属す
る第1試料の等級を正しく推定するのが本請求項の発明
である。
Several tens of samples of polished rice of which grades showing taste are known by a sensory test are prepared for each grade, and a first sample consisting of a surface layer portion obtained by grinding the surface layer and a second sample consisting of the remaining central portion thereof are prepared. Correspond the samples. All the first samples contained in each grade are irradiated with near-infrared light, the average value of the absorbance of each wavelength of the obtained first spectrum, for example, the wavelength of every 2 nm is obtained, and it is composed of this average value. When the spectrum is a standard spectrum, a standard spectrum is obtained for each grade. Next, for each grade, the spectrum of each first sample is compared with the standard spectrum of each grade, and the set of the first samples having the spectrum most similar to the standard spectrum of the grade to which it belongs is set as the first group. Of course most of the first samples belong to the first group. However, the first sample that most closely resembles the standard spectrum of the first sample of the grade below its own grade also appears, and the set of this first sample is set as the second group, and the standard of the grade above the grade to which it belongs also The first sample set that most resembles the spectrum is
Make a group. It is the invention according to the present invention to correctly estimate the grade of the first sample belonging to the second and third groups.

【0019】このようにして得られた第1〜第3グルー
プの第1試料に対応する第2試料について、近赤外光に
よる第2スペクトルを求め、第1グループに属する第1
試料に対応する第2試料の第2スペクトルを第1標準ス
ペクトルとし、同様に第2グループに対応する第2試料
の第2スペクトルを第2標準スペクトル、第3グループ
に対応する第2試料の第2スペクトルを第3標準スペク
トルとする。なお、同一グループに属する第2試料の第
2スペクトルは複数あるのでその複数の第2スペクトル
の各波長の吸光度の平均値からなるスペクトルを各標準
スペクトルとしてもよい。
For the second sample corresponding to the first sample of the first to third groups thus obtained, the second spectrum by near infrared light is obtained, and the first sample belonging to the first group is obtained.
The second spectrum of the second sample corresponding to the sample is the first standard spectrum, the second spectrum of the second sample corresponding to the second group is the second standard spectrum, and the second spectrum of the second sample corresponding to the third group. The 2 spectra are the third standard spectra. Since there are a plurality of second spectra of the second sample belonging to the same group, a spectrum composed of the average value of the absorbance of each wavelength of the plurality of second spectra may be used as each standard spectrum.

【0020】次に被測定試料の第1試料と第2試料を作
成し、近赤外光を照射して第1スペクトルと第2スペク
トルを得る。各等級の標準スペクトルと第1スペクトル
を比較し、最も類似している標準スペクトルの等級を初
期等級とする。この初期等級は請求項1の発明で得られ
る等級である。この初期等級の第1〜第3標準スペクト
ルと第2スペクトルと比較し、第1標準スペクトルと最
も類似したときは初期等級を被測定試料の等級とする。
第2標準スペクトルと最も類似したときは初期等級より
1段下の等級を被測定試料の等級とし、第3標準スペク
トルと最も類似したときは初期等級より1段上の等級を
被測定試料の等級とする。米の食味はかなりの割合で精
白米の表層できまるので、初期等級となることが多く、
これを外れる場合も、上下それぞれ1等級ぐらいなので
上記のような等級決めをしている。このように2段階の
判定をすることにより第1試料による初期等級が誤って
いても第2試料により、訂正されて正しい等級を得るこ
とができる。
Next, a first sample and a second sample of the sample to be measured are prepared and irradiated with near infrared light to obtain a first spectrum and a second spectrum. The first spectrum is compared with the standard spectrum of each grade, and the grade of the most similar standard spectrum is used as the initial grade. This initial grade is the grade obtained by the invention of claim 1. The first to third standard spectra of the initial grade and the second spectrum are compared with each other. When the spectrum is most similar to the first standard spectrum, the initial grade is used as the grade of the sample to be measured.
When it is most similar to the 2nd standard spectrum, the grade of the measured sample is one step below the initial grade, and when it is most similar to the 3rd standard spectrum, the grade of the measured sample is one step above the initial grade. And The taste of rice is made up of a large proportion of the surface layer of polished rice, so it is often the initial grade,
Even when it goes out of this range, the upper and lower grades are about 1 grade, so the above grades are set. By thus performing the two-stage determination, even if the initial grade by the first sample is incorrect, the second grade can be corrected to obtain the correct grade.

【0021】前記第1標準スペクトル、前記第2標準ス
ペクトル、前記第3標準スペクトルの少なくとも1つに
ついて特定波長を定め、前記被測定試料の第2スペクト
ルと比較する際、この特定波長の吸光度について比較す
ることが好ましい。
When a specific wavelength is determined for at least one of the first standard spectrum, the second standard spectrum, and the third standard spectrum, and when the specific wavelength is compared with the second spectrum of the sample to be measured, the absorbance at the specific wavelength is compared. Preferably.

【0022】第1〜第3標準スペクトルについては、そ
れぞれのスペクトルで特徴を有する特定波長が1つまた
はそれ以上含まれている場合が多く、これらの波長の吸
光度を比較すれば等級を決定できることが多い。このよ
うな特定波長についてのみ吸光度の比較を行えばよいの
で比較して等級を決定する演算時間が大幅に短縮され
る。
The first to third standard spectra often include one or more specific wavelengths having a characteristic in each spectrum, and the grade can be determined by comparing the absorbances of these wavelengths. Many. Since it is only necessary to compare the absorbances with respect to such specific wavelengths, the calculation time for determining the grade by comparison is greatly shortened.

【0023】例えば、前記初期等級が最下等級のとき初
期等級より1段下の等級となったときはこれを最下等級
とし、最上等級のときは初期等級より1段上の等級とな
ったときはこれを最上級等級とする。
For example, when the initial grade is the lowest grade and the grade is one step lower than the initial grade, this is the lowest grade, and the highest grade is the grade one step higher than the initial grade. When this is the highest grade.

【0024】初期等級が最下級の等級ではそれより1段
下の等級は存在しない。また、最上級の等級ではそれよ
り1段上の等級が存在しないので、そのような存在しな
い等級となるときは等級を変えず、それぞれ初期等級と
同じとしている。
When the initial grade is the lowest grade, there is no grade lower than it. In addition, since there is no higher grade than the highest grade, when the grade does not exist, the grade is not changed and the grade is the same as the initial grade.

【0025】スペクトルまたは吸光度として、反射光ま
たは透過光の強度を波長で2次微分した2次微分値を用
いることができる。
As the spectrum or the absorbance, a second derivative of the intensity of the reflected light or the transmitted light with respect to the wavelength can be used.

【0026】吸光度やスペクトルは吸光度そのものでも
よいが、通常は正規化して波長に対して2次微分した値
を用いることしてより、ドリフトや照明強度の変化など
による測定誤差を打ち消すことができる。
The absorbance or the spectrum may be the absorbance itself, but normally, by using a value obtained by normalizing and secondarily differentiating with respect to the wavelength, it is possible to cancel a measurement error due to a drift or a change in illumination intensity.

【0027】[0027]

【0028】[0028]

【0029】[0029]

【発明の実施の形態】以下、本発明の実施の形態につい
て図面を参照して説明する。図1は第1〜第3実施の形
態の校正を示すブロック図である。試料1は研削型の精
米機にて精白米の表層を1〜6重量%研削した表層部の
試料粉である。精白米とは玄米を100重量%とする
と、通常米粒表層の10重量%前後に相当する米糠層を
精米機によって除去したものである。近赤外光測定機器
2は試料1に近赤外光を照射し、その反射光または透過
光のスペクトルを測定する。スペクトル演算部3は近赤
外光測定機2で測定されたスペクトルについて、たとえ
ば2nm毎にサンプリングされた波長の吸光度を演算す
る。等級データ記憶部4には官能試験により得られた食
味に基づく等級毎の標準スペクトルについて、例えば2
nm毎にサンプリングされた波長の吸光度のデータを記
憶している。等級演算部5はスペクトル演算部3で演算
した被測定試料のスペクトルの各波長の吸光度と等級デ
ータ記憶部4に記憶された各等級毎の標準スペクトルの
各波長の吸光度について、同一波長の吸光度の類似度を
演算し、類似度の最も大きい等級を検出し、この等級を
被測定試料の等級とする。表示部6は等級演算結果を表
示する。
BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing the calibration of the first to third embodiments. Sample 1 is a sample powder of the surface layer portion obtained by grinding the surface layer of milled rice in an amount of 1 to 6% by weight with a grinding type rice polishing machine. Polished rice is obtained by removing the rice bran layer, which corresponds to approximately 10% by weight of the surface layer of rice grain, with a rice polishing machine, when 100% by weight of brown rice is used. The near-infrared light measuring device 2 irradiates the sample 1 with near-infrared light and measures the spectrum of its reflected light or transmitted light. The spectrum calculation unit 3 calculates the absorbance of the wavelength measured every 2 nm for the spectrum measured by the near infrared light measuring device 2. The grade data storage unit 4 stores the standard spectra for each grade based on the taste obtained by the sensory test, for example, 2
The data of the absorbance of the wavelength sampled for each nm are stored. The grade calculation unit 5 calculates the absorbance of each wavelength of the spectrum of the sample to be measured calculated by the spectrum calculation unit 3 and the absorbance of each wavelength of the standard spectrum of each grade stored in the grade data storage unit 4. The similarity is calculated, the grade with the highest similarity is detected, and this grade is used as the grade of the sample to be measured. The display unit 6 displays the grade calculation result.

【0030】図2は近赤外光測定器の構成を示す図であ
る。光源21より近赤外光を照射し、スリットを通過し
た照射光をミラー22で反射して回折格子23に入射す
る。回折格子23は振動することにより近赤外領域70
0〜2500nmの波長範囲を2nm毎に走査する。反
射測定部24はこのようにして走査された光が試料1か
ら反射してきた反射光を測定する。透過測定部25は試
料1を透過してきた透過光を測定する。
FIG. 2 is a diagram showing the structure of a near infrared light measuring device. Near-infrared light is emitted from the light source 21, and the emitted light that has passed through the slit is reflected by the mirror 22 and enters the diffraction grating 23. By vibrating the diffraction grating 23, the near-infrared region 70
The wavelength range of 0 to 2500 nm is scanned every 2 nm. The reflection measuring unit 24 measures the reflected light reflected from the sample 1 by the light thus scanned. The transmission measuring unit 25 measures the transmitted light transmitted through the sample 1.

【0031】上記装置について食味に基づく等級測定に
ついて説明する。いわゆる良食味米にはこの呈味物質が
多く、一般には非良食味米には少ないことが明らかにな
ってきた。呈味物質としては網目状デンプン、オリゴ
糖、アミノ酸、リン酸マグネシウム、その他などであ
る。精白米の表層0〜6重量%までにはこの呈味物質が
多く含まれている。また、いわゆる古米化などにともな
う経時的な食味劣化は、これら呈味物質の変質分解によ
って始まる現象であるので、表層ほど早く、顕著に進行
する。このため試料粉としては1〜6重量%の表層を研
削する。望ましくは4〜5重量%がよい。1重量%未満
でも測定可能であるが精度が低下する。精白米の表層か
ら6〜10重量%あるいはそれ以上の部分は胚乳中心に
近づいてゆくので、この部分の組成分は主としてデンプ
ンが多くなり、表層に存在していた呈味物質やタンパク
質は減少している。このため、良食味米と非食味米とを
分けることになる米の組成分の違いは、この胚乳中心に
近い部分には微量しか存在しない。しかし食味は噛んだ
そのときの歯応えも影響するので、この胚乳部分による
食味も考慮する。なお、上記0〜6重量%内に含まれる
呈味物質の含有量は精白米の0.1〜0.2重量%程度
で微量である。ここで精白米とは玄米を100重量%と
すると通常米粒表層の10重量%前後に相当する糠層を
精米機によって除去したもので、通常一般に市販されて
いる状態のものをいう。
The taste measurement based on the above-mentioned device will be described. It has become clear that so-called good-tasting rice contains a large amount of this taste substance, and generally, non-tasting-tasting rice contains a small amount. Taste substances include reticulated starch, oligosaccharides, amino acids, magnesium phosphate, and the like. The surface layer of polished rice contains a large amount of this taste substance in an amount of 0 to 6% by weight. Further, the deterioration of the taste with time due to the so-called old rice is a phenomenon initiated by the alteration and decomposition of these taste substances, and therefore progresses as rapidly and remarkably as the surface layer. Therefore, the surface layer of 1 to 6% by weight as the sample powder is ground. Desirably, 4 to 5% by weight is good. It is possible to measure even if it is less than 1% by weight, but the accuracy is lowered. From 6% to 10% by weight or more of the surface layer of milled rice approaches the endosperm center, the composition of this part mainly contains a large amount of starch, and the taste substances and proteins present in the surface layer decrease. ing. For this reason, the difference in the composition of rice, which separates good-tasting rice from non-tasting rice, exists only in a small amount in the portion close to the endosperm center. However, the texture also affects the texture when chewing, so the texture due to this endosperm portion is also considered. The content of the taste substance contained in the above 0 to 6% by weight is about 0.1 to 0.2% by weight of the polished rice, which is a very small amount. Here, the polished rice is a rice grain obtained by removing a bran layer corresponding to about 10% by weight of the surface layer of rice grain with a rice polishing machine, when 100% by weight of brown rice is used, and is generally in a state of being commercially available.

【0032】このようにして得られた試料粉1につい
て、図2に示した近赤外光測定器2により近赤外光を照
射し、回折格子23を傾斜振動させることにより、近赤
外領域700〜2500nmの波長範囲を2nm毎に走
査して反射光または透過光のスペクトルが得られる。こ
こで得られたスペクトルはノイズ等の影響を除き測定精
度を高めるために、スペクトルの演算(微分)処理を行
う。試料粉1の1試料当たりの波長データ点数は波長範
囲が700〜2500nmであるから2500−700
=1800,2nmごとのデータをとるので1800÷
2=900吸光度データである。
The sample powder 1 thus obtained is irradiated with near-infrared light by the near-infrared light measuring device 2 shown in FIG. A wavelength range of 700 to 2500 nm is scanned every 2 nm to obtain a spectrum of reflected light or transmitted light. The spectrum obtained here is subjected to spectrum calculation (differentiation) processing in order to remove the influence of noise and the like and improve the measurement accuracy. The number of wavelength data points per sample of sample powder 1 is 2500-700 because the wavelength range is 700 to 2500 nm.
= 1800, because data is taken every 2 nm, 1800 ÷
2 = 900 absorbance data.

【0033】米の食味を表す等級について説明する。官
能食味試験では総合食味、味、ねばりなどが精白米を炊
飯した試料米に対して評価値として与えられる。食味値
の等級を定める場合、これらを総合して等級づけてもよ
いが、総合食味値のみを等級づけてもよい。等級は−1
(不良食味),0(中間食味),+1(量食味)とか1
(やや劣る),2(普通),3(やや良),4(良),
5(特に良)などがあり、特に等級方法は限定されな
い。
The grade representing the taste of rice will be described. In the sensory taste test, the overall taste, taste, stickiness, etc. are given as evaluation values for sample rice prepared by polishing polished rice. When determining the grade of the taste value, these may be comprehensively graded, or only the comprehensive taste value may be graded. -1
(Poor taste), 0 (intermediate taste), +1 (quantity taste), or 1
(Somewhat inferior), 2 (normal), 3 (somewhat good), 4 (good),
5 (especially good), and the grading method is not particularly limited.

【0034】以下、被測定試料の等級を決定する第1実
施の形態について説明する。被測定試料の等級を近赤外
線分析法を用いて決定するに当たり、決定の基準となる
標準スペクトルを定める。官能試験により得られた食味
に基づき定められた等級ごとに官能試験で用いた精白米
と同種のまたは同一ロットの精白米を10〜20試料用
意する。全ての等級について必要となるので、この等級
数倍の試料米が必要となる。ここに精白米の「種類」と
稱しているのはコシヒカリ・ササニシキなどの遺伝子的
品種に限らず、産地別、保存方法の差異、保存期間の相
違なども異なるものは異なる種類の試料米として扱う。
The first embodiment for determining the grade of the sample to be measured will be described below. When determining the grade of the sample to be measured using the near-infrared analysis method, a standard spectrum as a reference for determination is set. 10 to 20 samples of polished rice of the same type or the same lot as the polished rice used in the sensory test are prepared for each grade determined based on the taste obtained by the sensory test. Since it is necessary for all grades, sample rice that is several times this grade is required. It is not limited to genetic varieties such as Koshihikari and Sasanishiki that are categorized as “types” of polished rice here, but different types of sample rice that differ according to production area, storage method, storage period, etc. deal with.

【0035】各等級の全ての試料米について精白米の表
層を4〜5重量%研削して得た試料粉につき近赤外領域
700〜2500nmの波長範囲を2nm毎に走査して
900吸光度データを得る。これらの吸光度データは対
数処理、微分処理をして使用する。 反射光強度:R,透過光強度:T,波長:λとすると、
2 (logR)/dλ2 またはd2 (logT)/d
λ2 を算出し、以降この2次微分値を吸光度データと称
する。このように吸光度、または各波長の吸光度からな
るスペクトルは、反射光強度Rまたは透過光強度Tを用
いてもよいが、通常はそれらの値の対数値の1次微分や
2次微分をとり正規化して用いることによりドリフトや
照明強度の変化を打ち消し測定誤差を減少させる。
With respect to all the sample rices of each grade, the sample powder obtained by grinding the surface layer of polished rice in an amount of 4 to 5% by weight was scanned in the wavelength range of 700 to 2500 nm in the near infrared region every 2 nm to obtain 900 absorbance data. obtain. These absorbance data are subjected to logarithmic processing and differential processing before use. If the reflected light intensity is R, the transmitted light intensity is T, and the wavelength is λ,
d 2 (logR) / dλ 2 or d 2 (logT) / d
λ 2 is calculated, and this second derivative is hereinafter referred to as absorbance data. As described above, the absorbance or the spectrum consisting of the absorbance at each wavelength may use the reflected light intensity R or the transmitted light intensity T, but normally, the first derivative or the second derivative of the logarithmic value of these values is used to obtain a normal value. By using it in a digitized form, the drift and changes in illumination intensity are canceled out and the measurement error is reduced.

【0036】このようにして各等級ごとに得られた各試
料粉のスペクトル(各波長の吸光度の集合)について、
各波長における各試料粉の吸光度の平均値を求め、この
平均値よりなるスペクトルを標準スペクトルと称する。
標準スペクトルは各等級毎に作成される。
Regarding the spectrum of each sample powder thus obtained for each grade (collection of absorbance at each wavelength),
The average value of the absorbance of each sample powder at each wavelength is obtained, and the spectrum composed of this average value is called the standard spectrum.
A standard spectrum is created for each grade.

【0037】次に被測定試料の精白米について、表層を
4〜5重量%研削した表層粉を採取し、近赤外光を照射
してスペクトルを測定する。測定方法、測定値などは等
級の分かっている試料米について行ったものと同様であ
る。このようにして得た被測定試料のスペクトルと先に
求めた各等級の標準スペクトルとを比較し、最も類似し
た標準スペクトルの等級を被測定試料の等級とする。
Next, with respect to the polished rice as a sample to be measured, the surface layer powder having the surface layer ground by 4 to 5% by weight is sampled, and the spectrum is measured by irradiating with near infrared light. The measurement method and measurement values are the same as those for sample rice of known grade. The spectrum of the sample to be measured thus obtained is compared with the standard spectrum of each class obtained previously, and the class of the most similar standard spectrum is set as the class of the sample to be measured.

【0038】2つのスペクトルの類似度を調べる方法と
しては公知のいくつかの方法があり、これらを用いる
が、これらについて簡単に説明する。第1の方法は同一
出願人による特公平6−40069号公報に開示されて
いる方法で、スペクトルの波長数をn個とすると、この
各波長の吸光度をn次元のベクトルで表す。標準スペク
トルのn次元ベクトルと被測定試料のn次元ベクトルの
交差角をθとするとcosθは類似度を表す。2つのス
ペクトルが一致すれば両ベクトルは一致し交差角θ=
0,cosθ=1となり、両スペクトルの類似が大きく
なればθは0に近づきcosθは1に近づく。cosθ
は次の(1)式で表される。
There are several known methods for investigating the similarity between two spectra, which will be briefly described below. The first method is the method disclosed in Japanese Patent Publication No. 6-40069 of the same applicant, where n is the number of wavelengths in the spectrum, the absorbance at each wavelength is represented by an n-dimensional vector. Letting θ be the intersection angle between the n-dimensional vector of the standard spectrum and the n-dimensional vector of the sample to be measured, cos θ represents the degree of similarity. If the two spectra match, the two vectors match and the crossing angle θ =
0, cos θ = 1, and θ becomes closer to 0 and cos θ approaches 1 as the similarity between the two spectra becomes larger. cos θ
Is expressed by the following equation (1).

【0039】[0039]

【数1】 [Equation 1]

【0040】ここでxiは標準スペクトルの波長iの吸
光度、yiは被測定試料のスペクトルの波長iの吸光度
である。
Here, xi is the absorbance at the wavelength i of the standard spectrum, and yi is the absorbance at the wavelength i of the spectrum of the sample to be measured.

【0041】2つのスペクトルの類似度を調べる第2の
方法は積率相関係数を用いる方法である。積率相関係数
rは(2)式で表され、両スペクトルが同一であれば各
波長の吸光度は同一であるr=1となり、類似度が大き
くなると1に近づく。 xi:標準スペクトルの吸光度、はxiの平均値、y
i:被測定試料の吸光度、はyiの平均値、n:波長
数である。
The second method for checking the similarity between two spectra is to use a product moment correlation coefficient. The product-moment correlation coefficient r is expressed by equation (2). If both spectra are the same, the absorbance at each wavelength is the same, r = 1, and approaches 1 when the degree of similarity increases. xi: absorbance of standard spectrum, x is the average value of xi, y
i is the absorbance of the sample to be measured, y is the average value of yi, and n is the number of wavelengths.

【0042】[0042]

【数2】 [Equation 2]

【0043】2つのスペクトルの類似度を調べる第3の
方法は分散を用いる方法である。標準スペクトルと被測
定試料のスペクトルの同一波長の吸光度の差の2乗を求
め、これを全波長について加算した値を分散とする。こ
の分散は両スペクトルが一致すれば0となり、類似度が
大きくなるに従い0に近づく。分散Sを次の(3)式で
表す。xiは標準スペクトルの波長iの吸光度を示し、
yiは被測定試料の波長iの吸光度を示す。なお波長の
数nは両スペクトルとも同じなので吸光度の差の2乗の
和をnから1を引いた自由度で割る必要はない。
The third method for examining the similarity between two spectra is a method using variance. The square of the difference in absorbance at the same wavelength between the standard spectrum and the spectrum of the sample to be measured is calculated, and the value obtained by adding the squares is defined as the variance. This dispersion becomes 0 if both spectra match, and approaches 0 as the degree of similarity increases. The dispersion S is expressed by the following equation (3). xi indicates the absorbance at the wavelength i of the standard spectrum,
yi represents the absorbance at the wavelength i of the sample to be measured. Since the number n of wavelengths is the same in both spectra, it is not necessary to divide the sum of squares of the difference in absorbance by the degree of freedom obtained by subtracting 1 from n.

【0044】[0044]

【数3】 [Equation 3]

【0045】次に第2実施の形態について説明する。第
1実施の形態と同様に官能試験により等級の判明してい
る精白米の表層の試料粉を各等級毎に10〜20試料用
意し、各等級の全ての試料粉について近赤外光を照射し
てスペクトルを求める。kjを係数、xiを波長iにお
ける吸光度、nを波長数、cを等級として(4)式で表
し、xi,cを数値データとして最小2乗法を用いた回
帰分析を行い、n次元連立方程式である正規方程式を解
いてk0,k1,…knを求める。
Next, a second embodiment will be described. Similar to the first embodiment, 10 to 20 sample powders of the surface layer of polished rice of which grades are known by sensory test are prepared for each grade, and all sample powders of each grade are irradiated with near infrared light. And obtain the spectrum. kj is a coefficient, xi is the absorbance at the wavelength i, n is the number of wavelengths, and c is the grade in the equation (4). Regression analysis using the least squares method is performed with xi and c as numerical data, and an n-dimensional simultaneous equation is used. Solve a normal equation to obtain k0, k1, ... kn.

【0046】 c=k0+k1x1+k2x2+…+knxn …(4) 次に被測定試料の精白米の表層を研削して得た表層粉に
近赤外線を照射してスペクトルを測定し、この各波長i
における吸光度yiを求め、このyiを(4)式のxi
に代入することにより等級cを得る。このcは通常小数
点以下を含む値となるので、このcに最も近い整数値で
表された等級を被測定試料の等級とする。
C = k0 + k1x1 + k2x2 + ... + knxn (4) Next, the surface layer powder obtained by grinding the surface layer of the polished rice of the sample to be measured is irradiated with near infrared rays to measure the spectrum, and each wavelength i
The absorbance yi at is calculated, and this yi is calculated as xi in equation (4).
Substituting into Since this c usually has a value including the decimal point, the grade represented by the integer value closest to this c is the grade of the sample to be measured.

【0047】次に第3実施の形態を説明する。第1およ
び第2実施の形態では試料として精白米の表層を研削し
て得た表層粉(これを第1試料と称す)を用いたが、本
実施の形態では更にこの上層粉を除いた残りの部分(こ
れを第2試料と称す)も試料として用い、まず第1試料
で初期等級を算出し、第2試料を用いてこの初期等級の
修正を行う。米の食味は噛んで食べるので噛み具合にも
影響され、精白米の中央部の胚乳も関係してくるので、
表層で決めた初期等級を中央部の第2試料で修正する。
Next, a third embodiment will be described. In the first and second embodiments, the surface layer powder obtained by grinding the surface layer of milled rice (this is referred to as the first sample) was used as the sample, but in the present embodiment, the upper layer powder is removed and the remaining The part (referred to as a second sample) is also used as a sample, the initial grade is first calculated in the first sample, and the initial grade is corrected using the second sample. Since the taste of rice is chewed and eaten, it is also affected by the degree of chewing, and the endosperm of the central part of polished rice is also involved.
The initial grade determined on the surface is corrected with the second sample in the middle.

【0048】官能試験に基づく食味を表す等級が判明し
ている精白米を各等級毎に10〜20試料用意し、この
試料の表層を研削して表層部分の第1試料と残りの第2
試料を作成し、それぞれ近赤外光を照射して第1スペク
トルと第2スペクトルを得る。スペクトルの波長や波数
は第1実施の形態と同様である。なお、同一精白米から
採取した第1試料と第2試料は対応付けしておく。また
第2試料は粒状のままでもよいが第1試料と同様に粉状
にした方がよい。
10 to 20 samples of polished rice of which grades showing taste based on a sensory test are known are prepared for each grade, and the surface layer of this sample is ground to make the first sample of the surface layer portion and the remaining second sample.
A sample is prepared and each is irradiated with near infrared light to obtain a first spectrum and a second spectrum. The spectrum wavelength and wave number are the same as in the first embodiment. The first sample and the second sample collected from the same polished rice are associated with each other. The second sample may be in the form of granules, but it is better to make it powdery like the first sample.

【0049】同一等級の全ての第1試料について同一波
長の吸光度を平均した標準スペクトルを求める。故に標
準スペクトルは等級数分得られる。次に同一等級の全て
の第1試料の第1スペクトルと自己の属する等級の標準
スペクトルとの類似度を調べ、自己の属する等級と最も
類似している第1試料の集合を第1グループ、自己の属
する等級より下の等級に最も類似する第1試料の集合を
第2グループ、自己の属する等級より上の等級に最も類
似する第1試料の集合を第3グループとする。当然第1
グループに多くの第1試料が入る。
A standard spectrum is obtained by averaging the absorbances at the same wavelength for all the first samples of the same grade. Therefore, the standard spectra are obtained for the number of grades. Next, the similarity between the first spectra of all the first samples of the same grade and the standard spectrum of the grade to which the user belongs belongs to, and the set of the first samples most similar to the grade to which the user belongs belongs to the first group, the self group. The first sample set most similar to the class below the class to which it belongs belongs to the second group, and the first sample set most similar to the class above the class to which it belongs belongs to the third group. Naturally the first
Many first samples fall into the group.

【0050】次に各グループの第1試料に対応する第2
試料について、近赤外光スペクトルを求め、同一波長の
吸光度を平均した標準スペクトルを求め、第1グループ
の標準スペクトルを第1標準スペクトル、第2グループ
のものを第2標準スペクトル、第3グループのものを第
3標準スペクトルとする。つまり各等級ごとに第1〜第
3標準スペクトルを設定する。
Next, the second sample corresponding to the first sample of each group
A near-infrared spectrum of the sample is obtained, a standard spectrum obtained by averaging the absorbances of the same wavelength is obtained, the standard spectrum of the first group is the first standard spectrum, that of the second group is the second standard spectrum, and that of the third group. This is the third standard spectrum. That is, the first to third standard spectra are set for each grade.

【0051】被測定試料の精白米について、第1試料と
第2試料を作成し近赤外光を照射して第1スペクトルと
第2スペクトルとを得る。第1スペクトルと各等級の標
準スペクトルとを比較し、最も類似している標準スペク
トルを求めこの標準スペクトルの等級を初期等級とす
る。次に第2スペクトルと初期等級の第1標準スペクト
ル〜第3標準スペクトルとの類似度を調べ最も類似する
標準スペクトルを決定する。最も類似したスペクトルが
第1標準スペクトルであれば、初期等級を被測定試料の
等級とする。第2標準スペクトルであれば初期等級より
1段下の等級とし、第3標準スペクトルであれば初期等
級より1段上の等級とする。これは、第1試料による等
級のずれは少ないのでずれた場合も初期等級の上、下1
等級の修正すれば十分だからである。なお、初期等級が
最下段の等級であれば1段下の等級は初期等級とし、初
期等級が最上段の等級であれば1段上の等級は初期等級
とする。これにより第1試料による初期等級が誤りであ
っても第2試料により正しい等級に訂正される。
For polished rice as a sample to be measured, a first sample and a second sample are prepared and irradiated with near infrared light to obtain a first spectrum and a second spectrum. The first spectrum is compared with the standard spectrum of each grade to find the most similar standard spectrum, and the grade of this standard spectrum is used as the initial grade. Next, the similarity between the second spectrum and the first to third standard spectra of the initial grade is examined to determine the most similar standard spectrum. If the most similar spectrum is the first standard spectrum, the initial grade is the grade of the sample to be measured. For the second standard spectrum, the grade is one step below the initial grade, and for the third standard spectrum, the grade is one step above the initial grade. This is because the grade difference due to the first sample is small, so even if there is a deviation,
It is sufficient to correct the grade. If the initial grade is the lowest grade, the grade below is the initial grade, and if the initial grade is the highest grade, the grade above is the initial grade. As a result, even if the initial grade by the first sample is incorrect, it is corrected by the second sample to the correct grade.

【0052】図3は本実施の形態の第1試料と第2試料
の標準スペクトルの関係を示す図である。第1試料の標
準スペクトルをS1〜S5(等級は1〜5の等級とす
る)とし、第2試料の標準スペクトルは各S1〜S5に
対してそれぞれ3個または2個設けられている。例えば
S3に対してはS3と同じ等級に対応する第1標準スペ
クトルS3M,これより1段下の等級に対応する第2標
準スペクトルS3D,S3Mより1段上の等級に対応す
る第3標準スペクトルS3Uが設けられている。但しS
1DはS1Mに、S5UはS5Mとなっている。
FIG. 3 is a diagram showing the relationship between the standard spectra of the first sample and the second sample of this embodiment. The standard spectra of the first sample are S1 to S5 (the grades are 1 to 5), and the standard spectra of the second sample are three or two for each S1 to S5. For example, for S3, the first standard spectrum S3M corresponding to the same grade as S3, the second standard spectrum S3D corresponding to the grade one step below this, and the third standard spectrum S3U corresponding to the grade one step above S3M. Is provided. However, S
1D is S1M and S5U is S5M.

【0053】本実施の形態で2つのスペクトルの類似度
を調べる方法は第1実施の形態で説明した3つの方法の
いずかを用いればよい。
In the present embodiment, any one of the three methods described in the first embodiment may be used as the method for checking the similarity between the two spectra.

【0054】上述した第1〜第3実施の形態では試料、
第1試料、第2試料の標準スペクトルや各スペクトルに
ついて2nm毎に全波長に対する吸光度を測定したが、
等級を説明できるような波長を検出できれば、その波長
の吸光度を測定すればよい。例えば国産のうるち米に限
定した場合は、1710〜1730nm間の波長でよ
い。このように波長の数を限定すると吸光度の測定およ
び類似度の演算が非常に簡単となる。
In the above-described first to third embodiments, the sample,
The absorbance for all wavelengths was measured every 2 nm for the standard spectra and each spectrum of the first sample and the second sample.
If a wavelength that can explain the grade can be detected, the absorbance at that wavelength may be measured. For example, when limited to domestic non-glutinous rice, a wavelength between 1710 and 1730 nm may be used. By limiting the number of wavelengths in this way, the measurement of the absorbance and the calculation of the similarity become very simple.

【0055】[0055]

【発明の効果】以上の説明より明らかなように、本発明
は、精白米の食味を表す表層部を近赤外光で照射し、得
られたスペクトルを予め官能試験により食味の等級の判
明している試料の表層部の標準スペクトルと比較し、最
も類似度の高い標準スペクトルの等級を被測定試料の等
級とするので、米の食味を表す等級を精度よく推定する
ことができる。また、表層部を第1試料とし、これを除
いた残りを第2試料としてまず第1試料で初期等級を推
定し、次に第2試料でこの初期推定を修正するので初期
等級の推定誤差が大きくても、正しく等級を推定し直す
ことができる。
EFFECTS OF THE INVENTION As is clear from the above description, according to the present invention, the surface layer portion showing the taste of polished rice is irradiated with near-infrared light, and the spectrum obtained is preliminarily determined by a sensory test to determine the taste grade. As compared with the standard spectrum of the surface layer of the sample, the grade of the standard spectrum with the highest degree of similarity is used as the grade of the sample to be measured, so that the grade representing the taste of rice can be accurately estimated. In addition, the surface layer portion is used as the first sample, and the remainder excluding this is used as the second sample. First, the initial grade is estimated with the first sample, and then the initial grade is corrected with the second sample. Even if it is large, the magnitude can be correctly estimated again.

【図面の簡単な説明】[Brief description of drawings]

【図1】本発明の実施の形態の構成を示すブロック図で
ある。
FIG. 1 is a block diagram showing a configuration of an embodiment of the present invention.

【図2】近赤外光測定器の構成を示す図である。FIG. 2 is a diagram showing a configuration of a near infrared light measuring device.

【図3】第1試料による標準スペクトルの等級と第2試
料による第1〜第3標準スペクトルの等級との関係を示
す図である。
FIG. 3 is a diagram showing the relationship between the grades of the standard spectra of the first sample and the grades of the first to third standard spectra of the second sample.

【符号の説明】[Explanation of symbols]

1 試料米 2 近赤外光測定器 3 スペクトル演算部 4 等級データ記憶部 5 等級演算部 6 表示部 1 sample rice 2 Near infrared light measuring instrument 3 Spectrum calculation section 4 Grade data storage 5 Grade calculator 6 Display

───────────────────────────────────────────────────── フロントページの続き (56)参考文献 特開 平3−242537(JP,A) 特開 平2−290537(JP,A) 特開 昭56−162183(JP,A) 特開 平6−313754(JP,A) 特開 平8−102892(JP,A) (58)調査した分野(Int.Cl.7,DB名) G01N 21/00 - 21/01 G01N 21/17 - 21/61 PATOLIS─────────────────────────────────────────────────── --- Continuation of the front page (56) Reference JP-A-3-242537 (JP, A) JP-A-2-290537 (JP, A) JP-A-56-162183 (JP, A) JP-A-6- 313754 (JP, A) JP-A-8-102892 (JP, A) (58) Fields investigated (Int.Cl. 7 , DB name) G01N 21/00-21/01 G01N 21/17-21/61 PATOLIS

Claims (4)

(57)【特許請求の範囲】(57) [Claims] 【請求項1】 官能試験に基づく食味を表す等級が判明
している精白米を各等級毎に複数試料準備し、各等級毎
にこの試料の精白米の表層を研削して表層部分の第1試
料と残りの第2試料を作成し、第1試料に近赤外光を照
射して得られた第1スペクトルの各波長の吸光度を求
め、同一等級の第1試料について各波長の吸光度を各第
1試料の同一波長の吸光度の平均値で構成した標準スペ
クトルを各等級毎に求め、各等級について各第1試料の
第1スペクトルと各等級の標準スペクトルとを比較し第
1試料を自己の属する等級の標準スペクトルに最も類似
している第1グループと、自己の属する等級より下の標
準スペクトルに最も類似している第2グループと、自己
の属する等級より上の標準スペクトルに最も類似する第
3グループに分け、各等級について、各第1試料に対応
する第2試料について近赤外光を照射して第2スペクト
ルを求め、第1グループの第1試料に対応する第2試料
のスペクトルを第1標準スペクトルとし、第2グループ
の第1試料に対応する第2試料のスペクトルを第2標準
スペクトルとし、第3グループの第1試料に対応する第
2試料のスペクトルを第3標準スペクトルとし、被測定
試料の精白米の表層を研削して表層部の第1試料と残り
の第2試料を作成し、第1試料に近赤外光を照射して第
1スペクトルを求め、この第1スペクトルを各等級の前
記標準スペクトルと比較して最も類似した標準スペクト
ルを求めてこの標準スペクトルの等級を初期等級とし、
次に第2試料に近赤外光を照射して第2スペクトルを求
め、前記初期等級の第1標準スペクトル、第2標準スペ
クトル、第3標準スペクトルと比較し第1標準スペクト
ルと最も類似したときは前記初期等級を被測定試料の等
級とし、第2標準スペクトルと最も類似したときは初期
等級より1段下の等級とし、第3標準スペクトルと最も
類似したときは初期等級より1段上の等級とすることを
特徴とする米の食味値測定方法。
1. Prepared a plurality of samples of milled rice of each grade for which the grade representing the taste based on a sensory test is known, and grinding the surface layer of the milled rice of each sample for each grade to make the first portion of the surface layer portion. The absorbance of each wavelength of the first spectrum obtained by irradiating the first sample with near-infrared light is obtained by preparing the sample and the remaining second sample, and the absorbance of each wavelength is measured for the first sample of the same grade. A standard spectrum composed of the average value of the absorbance of the first sample at the same wavelength is obtained for each grade, and the first spectrum of each first sample and the standard spectrum of each grade are compared for each grade, and the first sample is analyzed by itself. The first group most similar to the standard spectrum of the belonging grade, the second group most similar to the standard spectrum below the own grade, and the second group most similar to the standard spectrum above the own grade. Divided into 3 groups, each Regarding the grade, the second sample corresponding to each first sample is irradiated with near-infrared light to obtain the second spectrum, and the spectrum of the second sample corresponding to the first sample of the first group is used as the first standard spectrum, The spectrum of the second sample corresponding to the first sample of the second group is set as the second standard spectrum, the spectrum of the second sample corresponding to the first sample of the third group is set as the third standard spectrum, and polished rice of the sample to be measured is used. The surface layer is ground to prepare a first sample of the surface layer and the remaining second sample, and the first sample is irradiated with near-infrared light to obtain a first spectrum. The most similar standard spectrum is obtained by comparing with the spectrum, and the grade of this standard spectrum is used as the initial grade.
Next, the second sample is irradiated with near-infrared light to obtain a second spectrum, which is compared with the first standard spectrum, the second standard spectrum, and the third standard spectrum of the initial grade, and when the spectrum is most similar to the first standard spectrum. Is the grade of the sample to be measured, the grade that is one step below the initial grade when it is most similar to the second standard spectrum, and the grade that is one step above the initial grade when it is most similar to the third standard spectrum. A method for measuring the taste value of rice, which comprises:
【請求項2】 前記第1標準スペクトル、前記第2標準
スペクトル、前記第3標準スペクトルの少なくとも1つ
について特定波長を定め、前記被測定試料の第2スペク
トルと比較する際、この特定波長の吸光度について比較
することを特徴とする請求項1に記載の米の食味値測定
方法。
2. When determining a specific wavelength for at least one of the first standard spectrum, the second standard spectrum, and the third standard spectrum, and comparing with the second spectrum of the sample to be measured, the absorbance at the specific wavelength The method for measuring the eating quality value of rice according to claim 1, wherein
【請求項3】 前記初期等級が最下等級のとき初期等級
より1段下の等級となったときはこれを最下等級とし、
最上等級のときは初期等級より1段上の等級となったと
きはこれを最上級等級とすることを特徴とする請求項
または2に記載の米の食味値測定方法。
3. When the initial grade is the lowest grade and the grade is one step lower than the initial grade, this is the lowest grade,
When When the top grade was a grade 1 level upper than the initial grade is characterized in that it the highest grade claim 1
Alternatively, the method for measuring the eating quality value of rice according to item 2 .
【請求項4】 スペクトルまたは吸光度として、反射光
または透過光の強度を波長で2次微分した2次微分値を
用いることを特徴とする請求項ないしのいずれか
に記載の米の食味値測定方法。
4. A spectrum or as absorbance any one of claims 1 to 3, characterized by using a second-order differential value of the intensity of the reflected light or transmitted light and second-order differential at a wavelength of
The method for measuring the taste value of rice according to the item .
JP10082696A 1996-04-23 1996-04-23 Method and apparatus for measuring rice taste value Expired - Fee Related JP3495185B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP10082696A JP3495185B2 (en) 1996-04-23 1996-04-23 Method and apparatus for measuring rice taste value

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP10082696A JP3495185B2 (en) 1996-04-23 1996-04-23 Method and apparatus for measuring rice taste value

Publications (2)

Publication Number Publication Date
JPH09288056A JPH09288056A (en) 1997-11-04
JP3495185B2 true JP3495185B2 (en) 2004-02-09

Family

ID=14284138

Family Applications (1)

Application Number Title Priority Date Filing Date
JP10082696A Expired - Fee Related JP3495185B2 (en) 1996-04-23 1996-04-23 Method and apparatus for measuring rice taste value

Country Status (1)

Country Link
JP (1) JP3495185B2 (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4498564B2 (en) * 2000-08-10 2010-07-07 日本分光株式会社 Sample identification method and apparatus
KR20030019863A (en) * 2001-08-30 2003-03-07 민태기 Method for discriminating the viability of seeds using near infrared spectroscopy
JP4589903B2 (en) * 2006-09-08 2010-12-01 ヤンマー株式会社 Component analyzer
JP5859717B2 (en) * 2008-08-11 2016-02-10 ホーチキ株式会社 Ethyl alcohol detector
JP5233549B2 (en) 2008-09-22 2013-07-10 住友電気工業株式会社 Food quality inspection device, food component inspection device, foreign substance component inspection device, taste inspection device, and transition state inspection device
WO2021033583A1 (en) * 2019-08-21 2021-02-25 国立大学法人神戸大学 Food texture evaluation method and standard food texture model
CN111337450A (en) * 2020-03-16 2020-06-26 中国科学院合肥物质科学研究院 Rapid nondestructive determination method and device for rice processing precision grade

Also Published As

Publication number Publication date
JPH09288056A (en) 1997-11-04

Similar Documents

Publication Publication Date Title
Delwiche et al. Quality characteristics in rice by near-infrared reflectance analysis of whole-grain milled samples
Barbin et al. Application of infrared spectral techniques on quality and compositional attributes of coffee: An overview
Lammertyn et al. Non-destructive measurement of acidity, soluble solids, and firmness of Jonagold apples using NIR-spectroscopy
McGlone et al. Comparing density and NIR methods for measurement of kiwifruit dry matter and soluble solids content
Dowell et al. Predicting wheat quality characteristics and functionality using near‐infrared spectroscopy
Osborne et al. Single‐kernel characterization principles and applications
Jha et al. Non-destructive determination of firmness and yellowness of mango during growth and storage using visual spectroscopy
Teye et al. Estimating cocoa bean parameters by FT-NIRS and chemometrics analysis
Windham et al. Prediction of cooked rice texture quality using near‐infrared reflectance analysis of whole‐grain milled samples
Delwiche et al. Protein content of bulk wheat from near‐infrared reflectance of individual kernels
Revilla et al. Predicting the physicochemical properties and geographical ORIGIN of lentils using near infrared spectroscopy
Finlay et al. Genotypic and environmental variation in grain, flour, dough and bread-making characteristics of western Canadian spring wheat
Delwiche Measurement of single-kernel wheat hardness using near-infrared transmittance
Sohn et al. Near‐infrared spectroscopy for determination of protein and amylose in rice flour through use of derivatives
JP3495185B2 (en) Method and apparatus for measuring rice taste value
CN110567941B (en) Rice seed moisture content grading detection method based on main element spectral intensity
Turgut et al. Estimation of the sensory properties of black tea samples using non-destructive near-infrared spectroscopy sensors
Champagne et al. Near‐infrared reflectance analysis for prediction of cooked rice texture
Delwiche et al. Analysis of grain quality at receival
JP2000105194A (en) Device for evaluating taste of farm produce and device for evaluating processing characteristic of farm produce
Wehling et al. Prediction of corn dry-milling quality by near-infrared spectroscopy
Saleh et al. Development and validation of prediction models for rice surface lipid content and color parameters using near‐infrared spectroscopy: A basis for predicting rice degree of milling
Dowell Effect of NaOH on visible wavelength spectra of single wheat kernels and color classification efficiency
Meullenet et al. Prediction of texture of cooked white rice by near‐infrared reflectance analysis of whole‐grain milled samples
Kawamura et al. Visual and near-infrared reflectance spectroscopy for rice taste evaluation

Legal Events

Date Code Title Description
R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

FPAY Renewal fee payment (prs date is renewal date of database)

Free format text: PAYMENT UNTIL: 20091121

Year of fee payment: 6

FPAY Renewal fee payment (prs date is renewal date of database)

Free format text: PAYMENT UNTIL: 20121121

Year of fee payment: 9

FPAY Renewal fee payment (prs date is renewal date of database)

Free format text: PAYMENT UNTIL: 20121121

Year of fee payment: 9

FPAY Renewal fee payment (prs date is renewal date of database)

Free format text: PAYMENT UNTIL: 20151121

Year of fee payment: 12

LAPS Cancellation because of no payment of annual fees