JP2000212038A - Selection of cosmetic - Google Patents
Selection of cosmeticInfo
- Publication number
- JP2000212038A JP2000212038A JP11017757A JP1775799A JP2000212038A JP 2000212038 A JP2000212038 A JP 2000212038A JP 11017757 A JP11017757 A JP 11017757A JP 1775799 A JP1775799 A JP 1775799A JP 2000212038 A JP2000212038 A JP 2000212038A
- Authority
- JP
- Japan
- Prior art keywords
- skin
- cosmetic
- selecting
- weight
- color
- 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.)
- Granted
Links
- 239000002537 cosmetic Substances 0.000 title claims abstract description 129
- 210000003491 skin Anatomy 0.000 claims abstract description 161
- XUMBMVFBXHLACL-UHFFFAOYSA-N Melanin Chemical compound O=C1C(=O)C(C2=CNC3=C(C(C(=O)C4=C32)=O)C)=C2C4=CNC2=C1C XUMBMVFBXHLACL-UHFFFAOYSA-N 0.000 claims abstract description 86
- 230000035945 sensitivity Effects 0.000 claims abstract description 23
- 210000002510 keratinocyte Anatomy 0.000 claims abstract description 17
- 238000011156 evaluation Methods 0.000 claims abstract description 5
- 230000001815 facial effect Effects 0.000 claims abstract description 3
- 238000000034 method Methods 0.000 claims description 54
- 230000037307 sensitive skin Effects 0.000 claims description 35
- 230000003796 beauty Effects 0.000 claims description 17
- 230000037311 normal skin Effects 0.000 claims description 14
- 238000010187 selection method Methods 0.000 claims description 6
- 239000000853 adhesive Substances 0.000 claims description 4
- 230000001070 adhesive effect Effects 0.000 claims description 4
- 230000001788 irregular Effects 0.000 abstract 5
- PUPZLCDOIYMWBV-UHFFFAOYSA-N (+/-)-1,3-Butanediol Chemical compound CC(O)CCO PUPZLCDOIYMWBV-UHFFFAOYSA-N 0.000 description 26
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 26
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 24
- 230000037373 wrinkle formation Effects 0.000 description 23
- 230000002087 whitening effect Effects 0.000 description 22
- LXCFILQKKLGQFO-UHFFFAOYSA-N methylparaben Chemical compound COC(=O)C1=CC=C(O)C=C1 LXCFILQKKLGQFO-UHFFFAOYSA-N 0.000 description 20
- 206010040954 Skin wrinkling Diseases 0.000 description 19
- 230000037303 wrinkles Effects 0.000 description 19
- 239000000284 extract Substances 0.000 description 18
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 17
- 235000011187 glycerol Nutrition 0.000 description 13
- 235000010270 methyl p-hydroxybenzoate Nutrition 0.000 description 10
- 239000004292 methyl p-hydroxybenzoate Substances 0.000 description 10
- 229960002216 methylparaben Drugs 0.000 description 10
- 239000003795 chemical substances by application Substances 0.000 description 8
- 230000003020 moisturizing effect Effects 0.000 description 8
- 230000036548 skin texture Effects 0.000 description 8
- 239000002628 heparin derivative Substances 0.000 description 7
- 239000000835 fiber Substances 0.000 description 6
- SQGYOTSLMSWVJD-UHFFFAOYSA-N silver(1+) nitrate Chemical compound [Ag+].[O-]N(=O)=O SQGYOTSLMSWVJD-UHFFFAOYSA-N 0.000 description 6
- 108010073771 Soybean Proteins Proteins 0.000 description 5
- 230000015572 biosynthetic process Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 229940109850 royal jelly Drugs 0.000 description 5
- 229940001941 soy protein Drugs 0.000 description 5
- CIWBSHSKHKDKBQ-JLAZNSOCSA-N Ascorbic acid Chemical compound OC[C@H](O)[C@H]1OC(=O)C(O)=C1O CIWBSHSKHKDKBQ-JLAZNSOCSA-N 0.000 description 4
- 206010061218 Inflammation Diseases 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- BJRNKVDFDLYUGJ-RMPHRYRLSA-N hydroquinone O-beta-D-glucopyranoside Chemical compound O[C@@H]1[C@@H](O)[C@H](O)[C@@H](CO)O[C@H]1OC1=CC=C(O)C=C1 BJRNKVDFDLYUGJ-RMPHRYRLSA-N 0.000 description 4
- 230000004054 inflammatory process Effects 0.000 description 4
- 229940092258 rosemary extract Drugs 0.000 description 4
- 235000020748 rosemary extract Nutrition 0.000 description 4
- 239000001233 rosmarinus officinalis l. extract Substances 0.000 description 4
- 210000000434 stratum corneum Anatomy 0.000 description 4
- 235000018185 Betula X alpestris Nutrition 0.000 description 3
- 235000018212 Betula X uliginosa Nutrition 0.000 description 3
- 102000008186 Collagen Human genes 0.000 description 3
- 108010035532 Collagen Proteins 0.000 description 3
- 239000002390 adhesive tape Substances 0.000 description 3
- 229920001436 collagen Polymers 0.000 description 3
- ZXJXZNDDNMQXFV-UHFFFAOYSA-M crystal violet Chemical compound [Cl-].C1=CC(N(C)C)=CC=C1[C+](C=1C=CC(=CC=1)N(C)C)C1=CC=C(N(C)C)C=C1 ZXJXZNDDNMQXFV-UHFFFAOYSA-M 0.000 description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 3
- 208000035475 disorder Diseases 0.000 description 3
- 229960001235 gentian violet Drugs 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 239000000049 pigment Substances 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000001737 promoting effect Effects 0.000 description 3
- 229910001961 silver nitrate Inorganic materials 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- CYDQOEWLBCCFJZ-UHFFFAOYSA-N 4-(4-fluorophenyl)oxane-4-carboxylic acid Chemical compound C=1C=C(F)C=CC=1C1(C(=O)O)CCOCC1 CYDQOEWLBCCFJZ-UHFFFAOYSA-N 0.000 description 2
- VHUUQVKOLVNVRT-UHFFFAOYSA-N Ammonium hydroxide Chemical compound [NH4+].[OH-] VHUUQVKOLVNVRT-UHFFFAOYSA-N 0.000 description 2
- 208000002109 Argyria Diseases 0.000 description 2
- HTTJABKRGRZYRN-UHFFFAOYSA-N Heparin Chemical class OC1C(NC(=O)C)C(O)OC(COS(O)(=O)=O)C1OC1C(OS(O)(=O)=O)C(O)C(OC2C(C(OS(O)(=O)=O)C(OC3C(C(O)C(O)C(O3)C(O)=O)OS(O)(=O)=O)C(CO)O2)NS(O)(=O)=O)C(C(O)=O)O1 HTTJABKRGRZYRN-UHFFFAOYSA-N 0.000 description 2
- QIGBRXMKCJKVMJ-UHFFFAOYSA-N Hydroquinone Chemical compound OC1=CC=C(O)C=C1 QIGBRXMKCJKVMJ-UHFFFAOYSA-N 0.000 description 2
- 206010020751 Hypersensitivity Diseases 0.000 description 2
- BQCADISMDOOEFD-UHFFFAOYSA-N Silver Chemical compound [Ag] BQCADISMDOOEFD-UHFFFAOYSA-N 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 2
- QGZKDVFQNNGYKY-UHFFFAOYSA-N ammonia Natural products N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 2
- 229960000271 arbutin Drugs 0.000 description 2
- 235000010323 ascorbic acid Nutrition 0.000 description 2
- 229960005070 ascorbic acid Drugs 0.000 description 2
- 239000011668 ascorbic acid Substances 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 239000006059 cover glass Substances 0.000 description 2
- RWSXRVCMGQZWBV-WDSKDSINSA-N glutathione Chemical compound OC(=O)[C@@H](N)CCC(=O)N[C@@H](CS)C(=O)NCC(O)=O RWSXRVCMGQZWBV-WDSKDSINSA-N 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000007794 irritation Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- BJRNKVDFDLYUGJ-UHFFFAOYSA-N p-hydroxyphenyl beta-D-alloside Natural products OC1C(O)C(O)C(CO)OC1OC1=CC=C(O)C=C1 BJRNKVDFDLYUGJ-UHFFFAOYSA-N 0.000 description 2
- 229920001296 polysiloxane Polymers 0.000 description 2
- 238000000611 regression analysis Methods 0.000 description 2
- 238000007634 remodeling Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 229910052709 silver Inorganic materials 0.000 description 2
- 239000004332 silver Substances 0.000 description 2
- 239000001540 sodium lactate Substances 0.000 description 2
- 229940005581 sodium lactate Drugs 0.000 description 2
- 235000011088 sodium lactate Nutrition 0.000 description 2
- 125000004079 stearyl group Chemical group [H]C([*])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])[H] 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000007306 turnover Effects 0.000 description 2
- 150000003675 ursolic acids Chemical class 0.000 description 2
- WWUZIQQURGPMPG-UHFFFAOYSA-N (-)-D-erythro-Sphingosine Natural products CCCCCCCCCCCCCC=CC(O)C(N)CO WWUZIQQURGPMPG-UHFFFAOYSA-N 0.000 description 1
- 101100316860 Autographa californica nuclear polyhedrosis virus DA18 gene Proteins 0.000 description 1
- 241000283690 Bos taurus Species 0.000 description 1
- 108010024636 Glutathione Proteins 0.000 description 1
- 206010040880 Skin irritation Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 229940061720 alpha hydroxy acid Drugs 0.000 description 1
- 150000001280 alpha hydroxy acids Chemical class 0.000 description 1
- 239000007864 aqueous solution Substances 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 230000002301 combined effect Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 210000000887 face Anatomy 0.000 description 1
- -1 for example Substances 0.000 description 1
- 229960003180 glutathione Drugs 0.000 description 1
- 239000012676 herbal extract Substances 0.000 description 1
- 230000001771 impaired effect Effects 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 239000002085 irritant Substances 0.000 description 1
- 231100000021 irritant Toxicity 0.000 description 1
- 229940074358 magnesium ascorbate Drugs 0.000 description 1
- GVALZJMUIHGIMD-UHFFFAOYSA-H magnesium phosphate Chemical compound [Mg+2].[Mg+2].[Mg+2].[O-]P([O-])([O-])=O.[O-]P([O-])([O-])=O GVALZJMUIHGIMD-UHFFFAOYSA-H 0.000 description 1
- 239000004137 magnesium phosphate Substances 0.000 description 1
- 229960002261 magnesium phosphate Drugs 0.000 description 1
- 229910000157 magnesium phosphate Inorganic materials 0.000 description 1
- 235000010994 magnesium phosphates Nutrition 0.000 description 1
- AIOKQVJVNPDJKA-ZZMNMWMASA-L magnesium;(2r)-2-[(1s)-1,2-dihydroxyethyl]-4-hydroxy-5-oxo-2h-furan-3-olate Chemical compound [Mg+2].OC[C@H](O)[C@H]1OC(=O)C(O)=C1[O-].OC[C@H](O)[C@H]1OC(=O)C(O)=C1[O-] AIOKQVJVNPDJKA-ZZMNMWMASA-L 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000008099 melanin synthesis Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000004660 morphological change Effects 0.000 description 1
- 238000000491 multivariate analysis Methods 0.000 description 1
- 239000008363 phosphate buffer Substances 0.000 description 1
- 210000002826 placenta Anatomy 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 150000004508 retinoic acid derivatives Chemical class 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 230000037393 skin firmness Effects 0.000 description 1
- 230000036556 skin irritation Effects 0.000 description 1
- 231100000475 skin irritation Toxicity 0.000 description 1
- 230000005808 skin problem Effects 0.000 description 1
- 239000002904 solvent Substances 0.000 description 1
- WWUZIQQURGPMPG-KRWOKUGFSA-N sphingosine Chemical compound CCCCCCCCCCCCC\C=C\[C@@H](O)[C@@H](N)CO WWUZIQQURGPMPG-KRWOKUGFSA-N 0.000 description 1
- 239000012192 staining solution Substances 0.000 description 1
- 150000003431 steroids Chemical class 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 230000005428 wave function Effects 0.000 description 1
Landscapes
- Spectrometry And Color Measurement (AREA)
- Cosmetics (AREA)
Abstract
Description
【0001】[0001]
【発明の属する技術分野】本発明は、基礎化粧料の選択
などに好適な、化粧料の選択法に関する。TECHNICAL FIELD The present invention relates to a method for selecting a cosmetic, which is suitable for selecting a basic cosmetic.
【0002】[0002]
【従来の技術】基礎化粧料な化粧料は今日では様々な効
果を基に、機能別に著しい分化発展を遂げている、例え
ば、肌の肌理をきれいにする化粧料、保湿能を向上させ
る化粧料、メラニンなどの色素の生成を抑え色を白く美
しくする化粧料、シワの生成を抑え、改善する化粧料、
これらの効果の組合せ効果を有する化粧料などが市場に
は数多く販売されている。機能別に明示されていること
は、確かにわかりやすく、選択しやすいような印象を受
けるが、自分の肌が実際どの様なトラブルを抱えている
かを正確に認識できなければ、自分の肌に適合した化粧
料を選択することは出来ない。この様なトラブルの正確
な認識は非常に難しい。何故ならば、例えば非常に気に
なるシワ等があることを発見し、自分の最大のトラブル
がシワであると認識していても、実際に客観的な観察を
行った場合、メラニンなどの異常による色素異常のトラ
ブルの方がより深刻である様な事態は決して珍しいこと
ではないからである。即ち、トラブルの主観による把握
ほど当てにならないものはないからである。即ち、正
確、且つ、客観的に適した化粧料を選択する手段が望ま
れていた。2. Description of the Related Art Today, basic cosmetics are remarkably differentiated and developed according to their functions based on various effects. For example, cosmetics for clearing skin texture, cosmetics for improving moisturizing ability, Cosmetics that suppress the generation of pigments such as melanin and make the color white and beautiful, cosmetics that suppress and improve the formation of wrinkles,
Many cosmetics and the like having a combined effect of these effects are sold on the market. What is specified by function is certainly easy to understand and easy to select, but if you can not accurately recognize what kind of trouble your skin actually has, it fits your skin You can not choose a cosmetic that has been done. Accurate recognition of such troubles is very difficult. Because, for example, if you discover that there are wrinkles etc. that are very worrisome, and you realize that your worst trouble is wrinkles, if you actually carry out objective observation, abnormalities such as melanin This is because it is not unusual for a situation in which the trouble of the pigment abnormality caused by the dye is more serious. That is, there is nothing less reliant on the subjective grasp of the trouble. That is, a means for selecting an accurate and objectively suitable cosmetic has been desired.
【0003】又、色の白いは7難隠すという言葉がある
ように、白い美しい肌を保つことは女性であれば誰もが
望んで止まないことである。この為に、種々の化粧料用
の美白素材が開発されている。この様な美白素材として
は、例えば、アスコルビン酸とその誘導体、グルタチオ
ンとその誘導体、ハイドロキノンとその誘導体、種々の
生薬エキス等がこれまで開発されてきている。又、皮膚
の色が黒くなるメカニズムとしては多数のステップが見
出されており、一口にメラニンの生成阻害と言って多く
のメカニズムが存在することも知られている。この為、
美白化粧料の種類は、今や膨大な数に上っている。従っ
て、美白化粧料を使用しようとするものは、どの美白化
粧料が自分に適する美白化粧料なのか、選択するのに戸
惑うことが少なくなかった。即ち、的確な個人個人に適
した美白化粧料の選択手段が望まれていた。更に、この
色素トラブルの程度は目視により、主観的に判断される
ことが多いが、客観的にこれを鑑別する方法もまだ知ら
れていないのが現状であった。[0003] In addition, as there is a word saying that white color is difficult to hide, maintaining a beautiful white skin is something that every woman wants and does not stop. For this reason, various whitening materials for cosmetics have been developed. As such whitening materials, for example, ascorbic acid and its derivatives, glutathione and its derivatives, hydroquinone and its derivatives, and various herbal extracts have been developed. In addition, a number of steps have been found as a mechanism for darkening the skin color, and it is also known that there are many mechanisms called inhibition of melanin production in a bite. Because of this,
There are now a huge number of types of whitening cosmetics. Therefore, those who are going to use the whitening cosmetics are often confused to select which whitening cosmetics are suitable for themselves. That is, there has been a demand for a means for selecting a whitening cosmetic suitable for an individual. Further, the degree of the dye trouble is often subjectively judged by visual observation, but at present, there is no known method for objectively discriminating the degree.
【0004】更に加えて、化粧料の選択にあたっては、
近年に於いては、急増する種々のストレス、環境の悪化
などが原因となって、ほんの僅かな刺激に対しても、過
敏に反応する、いわゆる敏感肌の人が著しく増加してい
る。上記の様に肌を美しくする対応しようと、美肌を主
眼にした適切な化粧料を選択しても、この様な敏感肌の
人には、単なる刺激に過ぎず、徒に炎症などの原因とな
ってしまうことが少なくなく、この様な肌の感受性に由
来する安全性までも考慮した化粧料の選択法が望まれて
いた。又、敏感肌を選択基準として化粧料を選択するこ
とは既に行われていることであるが、この要素と美肌要
素とを組み合わせて指標とすることは、全く行われてい
なかった。又、この様な因子を加えることにより、安全
に美しい肌が具現しうることも全く知られていなかっ
た。[0004] In addition, when selecting cosmetics,
In recent years, due to various kinds of rapidly increasing stress, deterioration of environment, and the like, the number of people with so-called sensitive skin, which responds delicately to even a slight stimulus, has significantly increased. Even if you choose an appropriate cosmetic that focuses on beautiful skin in order to make the skin beautiful as described above, people with such sensitive skin are merely irritants and may cause inflammation etc. There has been a demand for a method of selecting cosmetics that takes into account the safety derived from such skin sensitivity. In addition, although it has already been performed to select a cosmetic based on sensitive skin as a selection criterion, it has never been performed to combine this element with a beautiful skin element as an index. Also, it has not been known at all that adding such a factor can realize safe and beautiful skin.
【0005】一方、適切な美白化粧料を選択するため
の、使用者の特性として、適用部位に於ける色ムラとメ
ラニンの存在状態が因子となっていることは、全く知ら
れていなかった。従って、この様なパラメーターを使用
することにより、個人個人に適合した美白化粧料が選択
できることも全く知られていなかった。[0005] On the other hand, it has never been known that color unevenness and the presence of melanin at the application site are factors as characteristics of a user for selecting an appropriate whitening cosmetic. Therefore, it has not been known at all that it is possible to select a whitening cosmetic suitable for an individual by using such parameters.
【0006】更に、シワや皮膚のハリに代表される皮膚
の形態変化について、その原因は様々あることが既に知
られている。例えば、シワの形成は、その容貌に及ぼす
マイナスの影響が非常に大きいことから、女性の多くに
とっては、特に深刻な問題である。この為、各種のシワ
予防用の化粧料などが開発されている。この様な化粧料
としては、例えば、被膜成分を含有させ、シワを物理的
に伸ばし目立たなくさせる様な化粧料に始まって、保湿
機能の付与によりシワに水分を含有させ、目立たなくさ
せる化粧料、皮膚の表面のターンオーバーを促進させ、
シワをこれによって目立たなくさせる化粧料などが次々
に開発されてきた。近年に於いては、シワの形成にはコ
ラーゲン線維束構造の崩壊が大きな役割を担っているこ
とが明らかになり、この様な線維束構造を再構築する、
ウルソール酸誘導体などが見出され、シワの対策には大
きな進歩が為された。この様な状況に於いて重要なこと
は、シワ形成過程の初期より、その状況に合った処置を
行うことであり、シワ形成の過程を正確に知る技術が望
まれていた。これは、シワがまだ形成されていない、線
維束構造が崩れていない状況に於いては、線維束再構築
剤による処置は必要でないし、極めて初期のシワ形成状
態では、保湿成分の投与でも充分効果を上げることが出
来るし、シワの形成状況によって線維束再構築剤の投与
量や投与方法、同時に行う処置剤の選択なども異なって
くるからである。即ち、この様な皮膚の形態変化に対す
る適切な対応策も、選択基準がないと言わざるを得なか
った。[0006] Furthermore, it is already known that there are various causes of skin morphological changes represented by wrinkles and skin firmness. For example, the formation of wrinkles is a particularly serious problem for many women, since the negative effects on their appearance are so great. For this reason, various cosmetics for preventing wrinkles have been developed. Such cosmetics include, for example, cosmetics that contain a coating component, physically expand wrinkles and make them less noticeable, and impart moisture to wrinkles by imparting a moisturizing function to make them less noticeable. Promotes skin surface turnover,
Cosmetics that make wrinkles less noticeable have been developed one after another. In recent years, it has been revealed that the collapse of the collagen fiber bundle structure plays a major role in the formation of wrinkles, and such a fiber bundle structure is reconstructed.
Ursolic acid derivatives and the like have been found, and great progress has been made in wrinkle control. In such a situation, what is important is to perform a treatment suitable for the situation from the beginning of the wrinkle formation process, and a technique for accurately knowing the wrinkle formation process has been desired. This is because in situations where wrinkles have not yet been formed and the fiber bundle structure has not collapsed, treatment with a fiber bundle remodeling agent is not necessary, and in very early wrinkle formation conditions, administration of moisturizing components is sufficient. This is because the effect can be enhanced, and the dose and administration method of the fiber bundle remodeling agent, the selection of the treatment agent to be performed at the same time, and the like differ depending on the wrinkle formation state. In other words, it has to be said that there is no selection standard for an appropriate countermeasure against such a change in skin morphology.
【0007】[0007]
【発明が解決しようとする課題】本発明はこの様な状況
下為されたものであり、トラブルを回避しながら、適切
な化粧料を客観的且つ容易に選択する方法を提供するこ
とを課題とする。SUMMARY OF THE INVENTION The present invention has been made under such circumstances, and it is an object of the present invention to provide a method for objectively and easily selecting an appropriate cosmetic while avoiding a trouble. I do.
【0008】[0008]
【課題の解決手段】本発明者らは、この様な状況に鑑み
て、トラブルが回避できて、適切な化粧料を客観的且つ
容易に選択する方法を求め、鋭意研究努力を重ねた結
果、角質細胞などの形状によって鑑別される肌の感受性
と肌の色の不均一と皮膚形態とによって鑑別される美肌
要素とを指標にすることにより、この様な選択が為しう
ることを見出し、発明を完成させるに至った。以下、本
発明について、実施の形態を中心に詳細に説明を加え
る。In view of such circumstances, the present inventors have sought a method of objectively and easily selecting an appropriate cosmetic that can avoid troubles, and as a result of intensive research efforts, The inventors have found that such selection can be made by using as an index the sensitivity of the skin distinguished by the shape of keratinocytes and the like, the unevenness of the skin color, and the beautiful skin element distinguished by the skin morphology. Was completed. Hereinafter, the present invention will be described in detail focusing on embodiments.
【0009】[0009]
【発明の実施の形態】<1>本発明の選択法の肌の美し
さの指標である肌の色の不均一 本発明の選択法は、肌の美しさを指標とすることを特徴
とする。この肌の美しさの指標は種々知られており、本
発明ではこれらの何れもが使用できるが、本発明に於い
ては、肌の色の不均一と皮膚形態とを指標とし鑑別され
た軸を用いるのが好ましい。このうち、肌の色の不均一
は種々の捉え方があるが、本発明ではどの様な捉え方で
あっても肌の不均一を表すものであれば特段の限定なく
使用することが出来るが、好ましいものとしては、ミク
ロ的な尺度に於けるメラニンの存在状態、マクロ的な尺
度に於ける顔の色ムラなどが例示できる。これらは単独
で指標とすることもできるが、好ましいのはミクローマ
クロを相補的に換算して指標とすることである。以下、
これらの実施形態を述べる。BEST MODE FOR CARRYING OUT THE INVENTION <1> Uneven skin color which is an index of skin beauty in the selection method of the present invention is characterized by using skin beauty as an index. . Various indicators of skin beauty are known, and any of them can be used in the present invention. However, in the present invention, an axis discriminated using uneven skin color and skin morphology as indicators. It is preferable to use Among these, there are various ways of understanding the unevenness of the skin color, but in the present invention, any manner of showing the unevenness of the skin can be used without particular limitation as long as it represents unevenness of the skin. Preferable examples include the presence state of melanin on a microscopic scale, and uneven color of a face on a macroscopic scale. These can be used alone as indices, but it is preferable that the indices are obtained by converting micro-macro into complementary values. Less than,
These embodiments will be described.
【0010】(1)メラニンの角層に於ける存在状態 メラニンは表皮組織に存在する色素であるが、その存在
形態は様々に異なっている。この種々の存在形態を有す
るメラニンの比較には、例えば、次のような基準をもっ
て行うと、かなり生態学的に適合した分類が出来るので
好ましい。即ち、メラニンの存在状態を分類するに際し
て、角質細胞に於けるその存在量と、存在のバラツキを
指標とした不均一性の2軸を用いることである。この様
なメラニンの存在状態の鑑別は手技的には既に多くの方
法が知られており、それらを用いればよい。しかしなが
ら、最も好ましい方法は、本発明者らが考案した、粘着
ディスクに角質細胞を採取し、これを透明粘着テープ上
に転写し、これを硝酸銀とゲンチアナバイオレットで染
色する方法である。即ち、採集された標本は、0.5%
の硝酸銀水溶液にアンモニア水を滴下しpHを10に調
整した銀染色液を用い、45℃10分間処理し銀染色し
た後、3回水洗し0.15%ゲンチアナバイオレット液
で10分処理した。この標本を水洗、乾燥させ、透明シ
リコーン剤を染色済みの部分を覆うように流し込みカバ
ーグラスをのせてサンプルとし、顕微鏡観察する方法で
ある。この方法で作成された標本より、後記の如く敏感
肌などの肌の感受性も鑑別できるので、この方法によ
り、メラニンの存在状態を鑑別することが好ましい。こ
の様に測定された、メラニンの存在量とその存在の不均
一性は、メラニンの存在状態の観察印象にともに大きな
影響を有しており、その関係は独立している。即ち、メ
ラニンの存在量が多く不均一性も大きいほど肌は、美し
い肌から離れ、美白物質による多重の美白メカニズムを
働かせることが必要になり、逆に、メラニンの存在量も
少なく、不均一性が少ないほど美しい肌になり、美白化
粧料による美白作用それほど必要でなくなる。つまり、
メラニンの状態について、角層に於けるメラニンの存在
量と不均一性を箱形モデルを用いて一軸化することによ
り、指標とすることが出来る。これを用いるのが判定が
行いやすい為非常に好適であるが、他の方法によってメ
ラニンの存在状態を一軸化し、指標とすることも本発明
の技術範囲に属する。前記箱形モデル軸の一例を図1に
示す。この例よりわかるように、この軸でメラニンの存
在状態は明白に鑑別できる。(1) Existence of melanin in the stratum corneum Melanin is a pigment present in epidermal tissue, but its form is variously different. For comparison of melanin having various existing forms, for example, it is preferable to perform the following criterion, since a considerably ecologically suitable classification can be performed. That is, when classifying the state of presence of melanin, two axes of non-uniformity using the abundance of the melanin in keratinocytes and the variation in the presence as an index are used. Many methods have already been known for such a melanin presence state, and any of these methods may be used. However, the most preferred method is a method devised by the present inventors, in which keratinocytes are collected on an adhesive disk, transferred to a transparent adhesive tape, and stained with silver nitrate and gentian violet. In other words, the collected sample is 0.5%
Aqueous ammonia was added dropwise to an aqueous silver nitrate solution, and the mixture was treated with a silver staining solution adjusted to pH 10 at 45 ° C. for 10 minutes to perform silver staining, then washed three times with water and treated with a 0.15% gentian violet solution for 10 minutes. In this method, the specimen is washed with water, dried, poured with a transparent silicone agent so as to cover the stained portion, placed on a cover glass to form a sample, and observed under a microscope. Since the sensitivity of skin such as sensitive skin can be discriminated from the specimen prepared by this method as described later, it is preferable to discriminate the presence state of melanin by this method. The abundance of melanin and the heterogeneity of its presence, which are measured in this way, have a great influence on the observation impression of the state of melanin, and the relationship is independent. In other words, the greater the abundance of melanin and the greater the non-uniformity, the more the skin is separated from the beautiful skin, and it is necessary to use multiple whitening mechanisms by whitening substances. The less the skin becomes, the more beautiful the skin becomes and the less the whitening effect of the whitening cosmetic becomes. That is,
The melanin state can be used as an index by uniaxializing the abundance and heterogeneity of melanin in the stratum corneum using a box model. It is very preferable to use this because it is easy to make a determination, but it is also within the technical scope of the present invention to uniaxialize the presence state of melanin by another method and use it as an index. FIG. 1 shows an example of the box-shaped model axis. As can be seen from this example, the presence of melanin can be clearly distinguished on this axis.
【0011】(2)色ムラ 本発明の化粧料の選択法では、その肌の美しさの構成要
素の色の不均一性を鑑別する要素として、上記メラニン
の存在状態以外に肌の色ムラの程度を指標とすることが
できる。肌の色ムラもメラニンの存在状態の悪さと同様
に、メラニンの産生異常を原因として起こるものであ
り、美白化粧料など化粧料によって補正されるべき肌ト
ラブルであり、この両者が改善されて始めて本当に美し
い白い肌の基礎となりうる。これらメラニンの存在状態
と色ムラとは互いに独立の関係であり、これら単独でも
それぞれ適切な美白作用に対する因子となっている。こ
れら両者を組み合わせることにより更に適切な美白化粧
料の選択が為しうる。これは角層のメラニンは主として
ミクロ的なものであり、バックグランド的な要素がある
のに対して、色ムラはよりマクロ的なものである為、そ
の適切な美白作用発揮への寄与は大きい。これを後記実
施例に示す如く、テストにより多変量解析してみると、
その加重比はメラニンの存在状態0.2〜0.4に対し
て、色ムラ0.6〜0.8となる。この加重を用いて、
適切な美白作用に対する軸を設定すれば、優れた美白化
粧料の選択基準となる。ここで、色ムラの評価である
が、その評価法としては、顔の様子を画像としてコンピ
ューターに取り込み、二値化等の処理を加え、その分布
を求めたり、コンピューターモーフィングの手法を用
い、色ムラの標準顔をいくつか作成し、この標準顔と照
らし合わせて、その程度を鑑別したりすることにより、
数値として表すことが出来る。この数値は、肉眼による
標準顔との比較によって算出されるものであっても、そ
の再現性は極めて良好で、客観的な数値として使用する
ことが出来る。この様な色ムラの標準顔の例を図2に示
す。この標準顔を用いて、観察者3名で、無作為に選出
したパネラー3名の顔の色ムラを判定した結果を、次の
表1に示す。これより、この様な鑑別手段であっても再
現性が高いことがわかる。従って、簡便性を考えると、
この様な方法で色ムラを鑑別し、指標として用いること
が好ましい。(2) Color Unevenness In the method of selecting a cosmetic according to the present invention, as a factor for discriminating the non-uniformity of the color of the beauty component of the skin, in addition to the above-mentioned state of melanin, the unevenness of the color of the skin is determined. The degree can be used as an index. Skin color unevenness is also caused by abnormal production of melanin, as well as poor presence of melanin, and is a skin problem that should be corrected by cosmetics such as whitening cosmetics, and only when both are improved It can be the basis for really beautiful white skin. The presence state of these melanin and the color unevenness are independent of each other, and each of them alone is a factor for an appropriate whitening effect. By combining these two, a more appropriate whitening cosmetic can be selected. This is because the melanin of the stratum corneum is mainly microscopic, and there is a background element, whereas the color unevenness is more macroscopic, so its contribution to the appropriate whitening effect is large. . As shown in the examples below, when this is subjected to multivariate analysis by tests,
The weighting ratio is 0.6 to 0.8 for color unevenness with respect to the presence state of melanin of 0.2 to 0.4. Using this weight,
Setting an axis for an appropriate whitening effect will be a criteria for selecting an excellent whitening cosmetic. Here, the evaluation of color unevenness is performed by capturing the face state as an image in a computer, applying processing such as binarization, calculating its distribution, or using a computer morphing method. By creating some standard uneven faces, comparing them to this standard face, and discriminating the degree,
It can be expressed as a numerical value. Even if this numerical value is calculated by comparison with a standard face with the naked eye, its reproducibility is extremely good and can be used as an objective numerical value. FIG. 2 shows an example of a standard face having such color unevenness. Table 1 below shows the results of using the standard face to determine the color unevenness of the face of three randomly selected panelists by three observers. This shows that the reproducibility is high even with such a discriminating means. Therefore, for simplicity,
It is preferable that color unevenness is discriminated by such a method and used as an index.
【0012】[0012]
【表1】 [Table 1]
【0013】(3)色の不均一の指標 本発明の化粧料の選択法に於いて、色の不均一軸は、皮
膚の角質細胞中のメラニンの存在状態と色ムラを関数と
することを好ましい形態とすることを特徴とする。後記
に示す如く、美しい肌とメラニンの存在状況、色ムラの
関係は、(肌の美しさ)=0.253×(角質細胞に於
けるメラニンの存在状態)+0.936×(肌の色ム
ラ)+1.354で著される式に回帰している。即ち、
この式からもわかるように、色の不均一値がその人の美
肌形成でどの程度必要かということもわかるし、又、メ
ラニンの存在状態を改善し、肌の色ムラを少なくするこ
とにより、美肌値を挙げることが出来ることもわかる。
即ち、その人がどの程度異論オフ均一を改善する必要が
あるか、又、美白化粧料を使用しようとする人は、メラ
ニンの存在状態と肌の色ムラより、この美肌値を算出
し、この値が小さければ、より美白効果の高い化粧料を
選択し、この美肌値が大きければ、さほど美白効果を有
さない化粧料を選択すれば良いと言うことがわかる。こ
れは、化粧料選択のための重要な指標となる。(3) Index of color non-uniformity In the method of selecting a cosmetic according to the present invention, the color non-uniformity axis is a function of the presence of melanin in the keratinocytes of the skin and the color unevenness. It is characterized by a preferred form. As described below, the relationship between beautiful skin, the presence of melanin, and uneven color is (skin beauty) = 0.253 × (existence of melanin in keratinocytes) + 0.936 × (skin unevenness of skin) ) + 1.354. That is,
As can be seen from this formula, it is also understood how much the non-uniform value of the color is necessary for the formation of the beautiful skin of the person, and by improving the presence state of melanin and reducing the unevenness of the skin color, It can also be seen that the beautiful skin value can be raised.
That is, to what extent the person needs to improve the objection off uniformity, and also, a person who intends to use a whitening cosmetic, calculates this beautiful skin value from the presence state of melanin and uneven skin color, It can be seen that if the value is small, a cosmetic having a higher whitening effect is selected, and if the skin value is large, a cosmetic having no whitening effect is selected. This is an important indicator for cosmetic selection.
【0014】(統計処理例)無作為に抽出した女性パネ
ラー334名(年齢16〜71歳)を用いて、右頬部よ
り粘着ディスク法により角質細胞を採取し、粘着テープ
に転写し、これを0.5%の硝酸銀水溶液にアンモニア
水を滴下しpHを10に調整した銀染色液を用い、45
℃10分間処理し銀染色した後、3回水洗し0.15%
ゲンチアナバイオレット液で10分処理した。この標本
を水洗、乾燥させ、透明シリコーン剤を染色済みの部分
を覆うように流し込みカバーグラスをのせてサンプルと
し、顕微鏡観察し、図1に示す基準に従って、メラニン
の存在状態を1(悪い)〜5(良い)の評点を付して評
価した。又、専門パネラーを用い、モーフィングにより
作成した図2に示す色ムラの標準顔を用いていろムラの
状態を1(悪い)〜5(良い)の評点を付して評価し
た。又、全体的に印象より、肌の美しさを1(美しくな
い)〜5(美しい)の評点を付し評価した。これらを重
回帰分析にかけたところ重相関係数0.6617で(肌
の美しさ)=0.253×(角質細胞に於けるメラニン
の存在状態)+0.936×(肌の色ムラ)+1.35
4で著される式に回帰していることがわかった。この時
の標準回帰係数は角質細胞に於けるメラニンの存在状態
が0.198であり、色ムラが0.590であった。即
ち、その加重比はメラニンの存在状態0.2〜0.4に
対して、色ムラ0.6〜0.8となることがわる。この
寄与率に従って算出した色調順調度と肌の美しさをプロ
ットすると、図3に示す如く、(肌の美しさ)=0.8
961×(色調順調度)+1.5095の直線式に回帰
する。(Statistical processing example) Using 334 female panelists (ages 16 to 71) randomly selected, keratinocytes were collected from the right cheek by the adhesive disk method, transferred to an adhesive tape, and transferred to an adhesive tape. Aqueous ammonia was added dropwise to a 0.5% aqueous solution of silver nitrate to adjust the pH to 10, and a silver stain was used.
℃ 10 minutes, silver-stained, washed 3 times with water, 0.15%
Treated with gentian violet solution for 10 minutes. This specimen was washed with water, dried, poured with a transparent silicone agent so as to cover the stained portion, placed on a cover glass to form a sample, observed under a microscope, and determined the presence state of melanin from 1 (bad) to 1 according to the criteria shown in FIG. A rating of 5 (good) was given for evaluation. Further, using a specialized panel, a standard face of the color unevenness shown in FIG. 2 created by morphing was used to evaluate the state of the unevenness by assigning a score of 1 (bad) to 5 (good). In addition, the overall beauty of the skin was evaluated with a score of 1 (not beautiful) to 5 (beautiful). When these were subjected to multiple regression analysis, a multiple correlation coefficient of 0.6617 (skin beauty) = 0.253 × (the presence of melanin in the keratinocytes) + 0.936 × (skin color unevenness) +1. 35
It turns out that it returns to the formula written in 4. At this time, the standard regression coefficient was 0.198 for the presence of melanin in the keratinocytes and 0.590 for the color unevenness. That is, the weighting ratio varies from 0.6 to 0.8 in color unevenness with respect to the presence state of melanin in 0.2 to 0.4. When the color tone smoothness and skin beauty calculated according to the contribution ratio are plotted, (skin beauty) = 0.8 as shown in FIG.
Regression is made to a linear formula of 961 × (color tone smoothness) +1.5095.
【0015】[0015]
【表2】 [Table 2]
【0016】<2>本発明の選択法の肌の美しさの要素
である皮膚形態 本発明の化粧料の選択法の肌の美しさでは、皮膚形態も
指標とする。皮膚形態を表すものとしては、ミクロ的な
肌の肌理の乱れやマクロ的なシワの形成状態が例示で
き、これらを単独で使用しても、又、組み合わせて使用
しても良い。好ましいものは、ミクロ的な肌の肌理を波
動関数として捉えた指標を使用することである。この様
な指標は将来来るべきシワ形成を予測する値であり、予
防的な措置が高じられる点で指標として含むことが好ま
しい。しかも、この値はレプリカより測定できるため、
私感を含まずに皮膚形態を評価できる利点を有する。勿
論、ミクローマクロを組み合わせて指標として使用する
こともでき、この様にすることによりより正確な判定が
できる。総合的な指標としては、マクロ0.2〜0.3
に対してミクロ0.3〜0.6の加重比で総合的に換算
するのが好ましい。以下、皮膚形態の指標について実施
の形態を説明する。<2> Skin form as an element of skin beauty according to the selection method of the present invention In skin beauty according to the method of selecting a cosmetic according to the present invention, skin form is also used as an index. Examples of the skin morphology include microscopic texture disturbance and macroscopic wrinkle formation, and these may be used alone or in combination. It is preferable to use an index that captures the texture of micro skin as a wave function. Such an index is a value that predicts wrinkle formation that will come in the future, and is preferably included as an index because precautionary measures are enhanced. Moreover, since this value can be measured from the replica,
It has the advantage that skin morphology can be evaluated without including personal feeling. Of course, a combination of micro-macro can be used as an index, and more accurate judgment can be made in this manner. As a comprehensive index, macro 0.2-0.3
It is preferable to comprehensively convert with a weight ratio of 0.3 to 0.6 with respect to. Hereinafter, embodiments of the skin morphology index will be described.
【0017】(1)シワ形成可能性の鑑別法 本発明の指標であるシワ形成可能性の鑑別法は、顔の皮
膚の肌理の乱れを指標とすることを特徴とする。ここ
で、肌の肌理の乱れは、肉眼で大雑把に観察・判定する
こともできるが、より正確にはレプリカ標本や、実態顕
微鏡或いはマイクロビデオ画像として画像処理装置など
に取り込み、5〜20倍の倍率で拡大して、標準の皮膚
などと比較して判定するのが好ましい。これらの手段の
中では、手軽に大がかりな機器を使わずに標本が作製で
きる点で、レプリカを使用するのが好ましい。レプリカ
は既に知られている方法に従って作成すれば良く、市販
のレプリカキットなどのプラスチック板を、溶剤等で軟
化させ、これを皮膚上に圧着し、皮膚の形状をプラスチ
ック板の凸凹として写し取ればよい。又、この様なレプ
リカを採取する位置としては、目尻と頬の間の皮膚が特
に好ましい。これは、この位置の皮膚の肌理がより、シ
ワ形成と深くかかわっているためである。この用にして
得られたレプリカ標本は、顕微鏡などで観察することに
より、その元の皮膚の肌理を知ることが出来る。肌理の
鑑別は、一様に縦横溝が分布している状態が、肌理の良
い状態であり、一方向に深い溝が出来るのが肌理の悪い
状態と鑑別される。この観点に立って鑑別を行えば、正
確に、そして簡便に、容易にシワ形成可能性を鑑別する
ことが出来る。この様な肌理の良し悪しを予め標準の標
本を作成し、数値として判定することにより、連続的な
数値へと変換することが出来る。ビデオ画像や実態顕微
鏡観察に於いても同様に処置すればよい。かくして鑑別
された、皮膚の肌理の乱れ具合は、後記実施例に示す如
く、将来のシワ形成と深くかかわっており、適切な処置
を行わなければ、この乱れはシワ形成へと移行する。こ
の様な、シワ形成可能性は、皮膚の肌理に従って1(非
常に肌理が乱れておりシワ形成可能性が高い)〜5(非
常に肌理が整っており、シワ形成可能性が低い)の5段
階に分けるのが便宜上好ましい。この値を仮にハリ順調
値という。(1) Method of Differentiating Wrinkle Formation The method of determining wrinkle formation, which is an indicator of the present invention, is characterized by using disorder of facial skin texture as an index. Here, the disturbance of the texture of the skin can be roughly observed and determined with the naked eye, but more precisely, a replica specimen or a stereoscopic microscope or a micro video image is taken into an image processing device and the like, and 5 to 20 times. It is preferable that the determination is made by enlarging at a magnification and comparing with standard skin or the like. Among these means, it is preferable to use a replica because a specimen can be easily prepared without using a large-scale device. The replica may be made according to a known method, and a plastic plate such as a commercially available replica kit is softened with a solvent or the like, and this is pressed on the skin, and the shape of the skin is copied as an unevenness of the plastic plate. Good. Also, as a position where such a replica is collected, the skin between the outer corner of the eye and the cheek is particularly preferable. This is because the texture of the skin at this position is more closely related to wrinkle formation. The texture of the original skin can be known by observing the replica specimen obtained for this purpose with a microscope or the like. The state of the texture is uniformly distributed in the vertical and horizontal grooves is a good texture, and a deep groove in one direction is distinguished from the poor texture. If discrimination is performed from this viewpoint, the possibility of wrinkle formation can be accurately and simply determined. Such a texture can be converted into a continuous numerical value by preparing a standard sample in advance and determining it as a numerical value. The same procedure may be applied to video images and observation with a stereoscopic microscope. The disorder of the skin texture thus identified is closely related to future wrinkle formation, as shown in the examples described later, and if appropriate measures are not taken, this disorder will shift to wrinkle formation. Such wrinkle formation possibility is from 5 (very rough texture and high possibility of wrinkle formation) to 5 (very textured and low wrinkle formation possibility) according to the texture of the skin. It is preferable for convenience to divide into stages. This value is temporarily referred to as a "smoothness" value.
【0018】(2)シワの形成状態の鑑別法 本発明の選択法の指標となる、皮膚形態を表す因子の一
つであるシワの形成状態は、顔をマクロに観察すること
により得られる。このシワの形成状態も、モーフィング
により、標準シワモデルを作成し、これと比較すること
により、より客観的にその程度を観察・判定できる。こ
の基準となる標準シワモデルの例を図4に示す。特にこ
の様な鑑別を行う位置としては、目尻について行うのが
正確で好ましい。この値を仮に目尻順調値という。(2) Differentiation method of wrinkle formation state The wrinkle formation state, which is one of the factors representing the skin morphology, which is an index of the selection method of the present invention, can be obtained by observing the face macroscopically. By forming a standard wrinkle model by morphing and comparing the wrinkle formation state with the standard wrinkle model, the degree of wrinkle formation can be more objectively observed and determined. FIG. 4 shows an example of a standard wrinkle model serving as this reference. In particular, it is preferable and accurate to perform such discrimination at the outer corner of the eye. This value is temporarily referred to as a smooth outer corner value.
【0019】(3)皮膚形態に対する化粧料の選択法 皮膚形態に対する化粧料の選択法は、シワ形成過程を正
確に鑑別し、そのステージに合った化粧料を選択し、シ
ワの形成を改善し、防ぐものである。このシワの指標と
しては、下記に示す統計処理例2に示す如く、美肌値と
これらの値の関係は、(美肌値)=0.448×(ハリ
順調値)+0.254×(目尻順調値)+1.124の
式に重回帰係数0.832で回帰する。即ち、この式に
ハリ順調値と目尻順調値を代入して得られた値が、皮膚
形態の代表値となる。上記シワ形成可能性の低いステー
ジに於いてはヘパリン類似物質などの保湿成分の投与な
どの処置を行い、ステージがあがるに従って、保湿成分
のみならず、ビタミンA酸類、フィトステサイド、フィ
トステロール、スフィンゴシンやステロイド等のターン
オーバー促進成分、αーヒドロキシ酸等の角層脱離促進
剤、バクガンコンエキス等のコラーゲン合成促進剤、ロ
ーズマリーエキスやウルソール酸誘導体などのコラーゲ
ン線維束再構築剤等を投与し、処置しシワの改善や予防
を行うことを特徴とする。上記シワ形成可能性の5段階
に対する標準的な化粧料としては、例えば、次の表3に
示すものが例示できる。(3) Method of selecting cosmetics for skin morphology The method of selecting cosmetics for skin morphology accurately discriminates wrinkle formation processes, selects cosmetics suitable for the stage, and improves wrinkle formation. Is to prevent. As a wrinkle index, as shown in the following statistical processing example 2, the relationship between the beautiful skin value and these values is (beautiful skin value) = 0.448 × (smooth smooth tone value) + 0.254 × (eye corner smooth tone value) ) +1.124 is regressed with a multiple regression coefficient of 0.832. That is, the value obtained by substituting the firmness smoothness value and the corner of the eye smoothness value into this equation is the representative value of the skin morphology. In the stage with a low possibility of wrinkle formation, treatment such as administration of a moisturizing component such as a heparin-like substance is performed, and as the stage goes up, not only the moisturizing component but also vitamin A acids, phytosteside, phytosterol, sphingosine and Administer a turnover promoting component such as a steroid, a stratum corneum detachment promoting agent such as α-hydroxy acid, a collagen synthesis promoting agent such as bacgancon extract, a collagen fiber bundle restructuring agent such as rosemary extract or ursolic acid derivative, etc. It is characterized by treating and improving or preventing wrinkles. Examples of the standard cosmetics for the five stages of the wrinkle formation possibility include those shown in Table 3 below.
【0020】[0020]
【表3】 [Table 3]
【0021】(統計処理例2)無作為に抽出した女性パ
ネラー334名(年齢16〜71歳)を用いて、右目尻
のシワの状態を、1(悪い)〜5(良い)の評点を付し
て評価した。更に、目と頬の間の皮膚より採取したレプ
リカに斜め、45度より、平行な光線を当て、これによ
って生じた影の間隔を波形を求めた。この波形を、周期
の均一性と振幅の大きさから、1(周期性にムラが大き
く、振幅も小さく肌理が乱れている。)〜5(周期性が
均一で、振幅も大きく、肌理が整っている。)の基準で
判定した。又、全体的に印象より、肌の美しさを1(美
しくない)〜5(美しい)の評点を付し評価した。これ
らを重回帰分析にかけたところ重相関係数0.832で
(美肌値)=0.448×(ハリ順調値)+0.254
×(目尻順調値)+1.124の式に回帰した。(Statistical processing example 2) Using 334 female panelists (age 16 to 71 years old) randomly selected, the wrinkle state of the right outer corner of the eyes was rated 1 (bad) to 5 (good). Was evaluated. Further, a parallel light beam was applied obliquely at an angle of 45 degrees to a replica collected from the skin between the eyes and the cheek, and the waveform of the interval between the shadows generated thereby was determined. From the uniformity of the cycle and the magnitude of the amplitude, this waveform is expressed as 1 (the periodicity is large, the amplitude is small and the texture is disturbed) to 5 (the periodicity is uniform, the amplitude is large, and the texture is adjusted). ). In addition, the overall beauty of the skin was evaluated with a score of 1 (not beautiful) to 5 (beautiful). When these were subjected to multiple regression analysis, a multiple correlation coefficient of 0.832 (beautiful skin value) = 0.448 × (smooth tone value) +0.254
X (normal value of the outer corner of the eye) + 1.124.
【0022】<3>本発明の選択法の指標である肌の感
受性 上記の選択基準に従って、化粧料を選択することによ
り、通常の人に於いては、問題なく美肌を具現する化粧
料を選択することが出来るが、現代に於いて急増してい
る肌の刺激に対する感受性が高まっている、いわゆる敏
感肌の人たちにとっては、美肌の観点で化粧料を選択し
た場合に於いて、肌トラブルを生じることがある。即
ち、この様な危険を回避することにより、より効果的で
安全な化粧料の選択を行うことが出来る。この点で一番
問題となることは、この敏感肌の要素をどの程度の加重
比で化粧料の選択基準に組み込むかである。言い換えれ
ば、感受性により、肌をいくつに分類するかということ
である。本発明者らは、化粧料使用者152名を対象
に、敏感肌の実態を、調査した結果、極めて頻度高く、
各種刺激に対して炎症反応などの過敏反応を起こしやす
い敏感肌、頻度は低く特定な場合にのみ若干の過敏な反
応を起こすやや敏感肌、通常過敏な反応を起こさない普
通肌に分類することにより、感受性を加味しながら美肌
具現に適した化粧料を選択しうることを見出した。この
様な肌の感受性については、上記粘着ディスク法によ
り、採取した標本の角質細胞の形状を大きさ(大きいほ
ど感受性が高い、敏感肌)と形(6角形の形状が崩れる
ほど感受性が高い、敏感肌)を基準として、箱形モデル
により、1(大きく、形が崩れている)〜5(形が6角
形に整い、小さく均一)の軸で判定することにより、鑑
別できる。即ち、この軸に於いて0〜1は敏感肌、2〜
3はやや敏感肌、4〜5は普通肌と鑑別できる。本発明
では、肌の感受性の代表値として、この値を用いるのが
好ましい。この値の分類に従って、前記の調査結果を表
4に示す。これより、敏感肌、やや敏感肌及び普通肌の
3分類にすることが適当であることがわかる。ここで、
これらの肌感受性に対する対応であるが、敏感肌に対し
ては、刺激発現の可能性のある物質を含有する化粧料の
使用は避け、保湿効果に注力するのが好ましく、普通肌
では、上記の色の不均一と皮膚形態を指標に化粧料の選
択を行えば良く、やや敏感肌では敏感肌と普通肌の中間
的な措置、即ち、保湿作用に注力しつつも、刺激が少な
い色の不均一改善成分やと皮膚形態改善成分を含有する
化粧料を、上記の色の不均一と皮膚形態を指標に選択す
ればよい。<3> Skin Sensitivity as an Index of the Selection Method of the Present Invention By selecting a cosmetic according to the above selection criteria, a normal person can select a cosmetic that embodies beautiful skin without any problem. However, for those with sensitive skin who have increased sensitivity to skin irritation, which is rapidly increasing in modern times, when choosing cosmetics from the viewpoint of beautiful skin, skin troubles may occur. May occur. That is, by avoiding such danger, it is possible to select a more effective and safe cosmetic. The most important issue in this regard is how to incorporate the sensitive skin factor into the selection criteria of the cosmetics at what weighting ratio. In other words, how sensitive the skin is to be classified. The present inventors investigated the actual condition of sensitive skin for 152 cosmetics users, and found that the frequency was extremely high.
By classifying sensitive skin that is susceptible to hypersensitivity reactions such as inflammatory reactions to various stimuli, less frequent, and slightly more sensitive skin only in specific cases, and normal skin that usually does not cause hypersensitivity reactions It has been found that a cosmetic suitable for realizing beautiful skin can be selected while taking sensitivity into account. Regarding the sensitivity of such skin, by the above-mentioned adhesive disc method, the shape of the keratinocytes of the collected specimen is changed in size (the larger the sensitivity, the more sensitive the skin) and the shape (the more the hexagonal shape is broken, the higher the sensitivity). Using the box-shaped model with reference to the sensitive skin), the discrimination can be made by judging on the axis of 1 (large, deformed) to 5 (shape is hexagonal, small and uniform). That is, on this axis, 0-1 is sensitive skin,
3 is slightly sensitive skin, and 4 to 5 can be distinguished from normal skin. In the present invention, it is preferable to use this value as a representative value of skin sensitivity. According to the classification of this value, the above-mentioned investigation results are shown in Table 4. This indicates that it is appropriate to classify the skin into three categories: sensitive skin, slightly sensitive skin, and normal skin. here,
In response to these skin sensitivities, for sensitive skin, it is preferable to avoid using cosmetics containing substances that may cause irritation, and to focus on the moisturizing effect. Cosmetic selection may be made based on uneven color and skin morphology.For slightly sensitive skin, measures that are intermediate between sensitive and normal skin, that is, the color that is less irritating while focusing on the moisturizing effect. A cosmetic containing a uniform improving component and a skin morphology improving component may be selected based on the above-mentioned uneven color and skin morphology.
【0023】[0023]
【表4】 [Table 4]
【0024】<4>本発明の化粧料の選択法 本発明の化粧料の選択法は、上記手法に従って、角質細
胞の形状から肌の感受性を鑑別し、しかる後に色の不均
一と皮膚形態を指標とし、化粧料を選択することを特徴
とする。敏感肌の要素を外せば、色の不均一と皮膚形態
の2項目とも、前記の如く美肌値に直線回帰する。この
ことが意味することは、この両者が整って始めて、美肌
が具現されると言うことである。即ち、どちらかが著し
く損なわれている場合には、他方をいくら改善しても美
肌は具現されにくいと言うことである。従って、本発明
ではこの2者を鑑みて、美肌具現の道しるべとすること
を特徴とする。この2軸の評価の仕方であるが、この両
者が改善され美肌値が向上する方法であれば特段の限定
はなく、例えば、色の不均一値より算出した美肌値と皮
膚形態より算出した美肌値を比較し、より美肌値の低い
項目を処置すべく化粧料を選択する方法や両美肌値の比
に適合するように、美白成分や肌形態改善成分を化粧料
に含有させた化粧料を選択する方法などが例示できる。
これらの内、前者には、1カ月等短い期間に於いてモニ
ターなどする場合に於いては、状況に適合した化粧料を
選択できる強みがあり、後者にはモニター抜きで平均的
に改善が出来る強みがある。本来化粧品が、季節適合、
肌質適合させて使用実態を変化させて使用する特質を有
することを勘案すれば、前者のような使い方が、より好
ましい。やや敏感肌では、上記の如く。成分そのものの
刺激を抑え、保湿作用に注力した上で、普通肌に準じた
選択を行えばよい。<4> Method for Selecting Cosmetic of the Present Invention According to the above-mentioned method, the method for selecting the cosmetic according to the present invention discriminates the sensitivity of the skin from the shape of the keratinocytes, and then determines the uneven color and the skin morphology. It is characterized by selecting cosmetics as an index. If the element of the sensitive skin is removed, both the color unevenness and the skin morphology linearly regress to the beautiful skin value as described above. What this means is that beautiful skin is realized only when both are in order. That is, if either of them is significantly impaired, it is difficult to realize beautiful skin no matter how much the other is improved. Therefore, in the present invention, in view of these two aspects, the present invention is characterized as a guide for realizing beautiful skin. There are no particular limitations on the method of evaluating the two axes, as long as both are improved and the beautiful skin value is improved. For example, the beautiful skin value calculated from the color non-uniformity value and the beautiful skin value calculated from the skin morphology Compare the values and choose a cosmetic to treat items with lower beautiful skin values, or a cosmetic that contains a whitening component or skin morphology improving component in the cosmetic so as to be compatible with the ratio of both beautiful skin values. A selection method can be exemplified.
Of these, the former has the advantage of selecting a cosmetic that matches the situation in the case of monitoring in a short period such as one month, and the latter can improve on average without a monitor. There are strengths. Originally, cosmetics are seasonal,
Considering that it has the characteristic of being used by changing the actual usage by adapting to the skin quality, the former usage is more preferable. For slightly sensitive skin, as described above. After suppressing the irritation of the component itself and focusing on the moisturizing effect, it is sufficient to make a selection according to normal skin.
【0025】[0025]
【実施例】以下に実施例を示して、本発明について更に
詳細に説明を加えるが、本発明がこれら実施例にのみ限
定を受けないのは言うまでもない。The present invention will be described in more detail with reference to the following examples, but it goes without saying that the present invention is not limited to these examples.
【0026】<実施例1>次に示す、敏感肌用化粧料1
種とやや敏感肌用色不均一対応化粧料1種とやや敏感肌
用皮膚形態対応化粧料1種と普通肌用色不均一対応化粧
料5種と普通肌用皮膚形態対応化粧料5種とを作成し、
角質細胞の形状に従って敏感肌、やや敏感肌、普通肌に
分類し、敏感肌の人は敏感肌用の化粧料を選択し、やや
敏感肌の人は、上記回帰式より算出される美肌値の内低
い項目の対応化粧料を選択し、普通肌の人は上記重相関
関係式を用いて、色ムラ対応がより重要か、皮膚形態対
応がより重要かをそれぞれの美肌回帰式より算出した美
肌値(色の不均一)と美肌値(皮膚形態)を比較し、美
肌値の低い項目のステージに合わせて、パネラーに適合
した化粧料の選択を試みた。即ち、無作為に選出した女
性パネラー306名を用い、肌の感受性を判定した後、
これを肌の感受性構成にバラツキがないように3群に分
け、色調順調度、目尻順調度及びハリ順調度を算出し、
1群は肌感受性毎に美肌値(色の不均一)と美肌値(皮
膚形態)を算出し、この値の小さい方の評価項目につい
て、1以上2未満、2以上3未満、3以上4未満、4以
上5未満、5以上(数値が低いほど色ムラやメラニンの
状況が悪い。)に分類し、それぞれに対し、敏感肌化粧
料、やや敏感肌色不均一対応化粧料、やや敏感肌皮膚形
態対応化粧料、普通肌項目対応化粧料1、2、3、4、
5を選択し(本発明の選択群)、1群は、肌感受性を考
慮せずに回帰式に従って、重要項目を対象に普通肌項目
対応化粧料1、2、3、4、5を選択し(美肌指標選択
群)、残る1群は全てのパネラーに対し、普通肌皮膚形
態対応化粧料3を朝用化粧料に、普通肌色不均一対応化
粧料3を夜用化粧料に選択した。(対照群)これらの化
粧料をそれぞれ1.5カ月使用してもらい、同様に化粧
料の選択をもう一度行い、更に1.5カ月使用してもら
った。炎症などのトラブルが生じた場合には直ちに使用
をやめてもらった。使用前と使用後に専門家により、美
肌値を、全体的に印象より、肌の美しさを1(美しくな
い)〜5(美しい)の評点を付し評価した。使用後の美
肌値から使用前の美肌値を減じ美肌向上値を求め、これ
を群毎に平均し、美肌向上群平均値とした。この値は、
本発明の選択群が1.31であり、美肌指標選択群が
1.21であり、対照群が0.63であった。又、トラ
ブルの発生は本発明の選択群が0であり、美肌指標選択
群が2例であり、対照群が5例であった。これにより、
本発明の化粧料選択法が安全性の面でも、美肌具現効果
の点でも個別対応により優れていることがわかる。<Example 1> Cosmetic product 1 for sensitive skin shown below
One kind of cosmetics for non-uniform color for sensitive skin and one kind of cosmetic for skin morphology for slightly sensitive skin, five kinds of cosmetics for non-uniform color for normal skin and five kinds of cosmetics for normal skin To create
Sensitive skin, slightly sensitive skin, and normal skin are classified according to the shape of the keratinocytes.People with sensitive skin choose cosmetics for sensitive skin, and those with slightly sensitive skin have a beautiful skin value calculated from the regression formula above. Select the corresponding lower-level cosmetics, and for people with normal skin, use the multiple correlation formula above to determine whether color unevenness is more important or skin morphology is more important. The values (non-uniform color) and the beautiful skin value (skin morphology) were compared, and an attempt was made to select a cosmetic suitable for the panel according to the stage of the item with the low beautiful skin value. That is, after using 306 female panelists randomly selected to determine the sensitivity of the skin,
This is divided into three groups so that there is no variation in the sensitivity composition of the skin, and the color tone smoothness, the outer corner smoothness and the firmness smoothness are calculated.
One group calculates a beautiful skin value (uneven color) and a beautiful skin value (skin morphology) for each skin sensitivity, and evaluates the smaller evaluation value as 1 to 2 or less, 2 or more to less than 3 and 3 or more to less than 4 4 or more, less than 5 and 5 or more (the lower the numerical value, the worse the color unevenness and melanin situation). For each, sensitive skin cosmetics, slightly sensitive skin color non-uniform cosmetics, and slightly sensitive skin forms Corresponding cosmetics, cosmetics for normal skin items 1, 2, 3, 4,
5 (selection group of the present invention), and 1 group selects normal skin item corresponding cosmetics 1, 2, 3, 4, 5 for important items according to a regression formula without considering skin sensitivity. (Beauty skin index selection group) The remaining group selected the normal skin / skin morphology-adaptive cosmetic 3 as the morning cosmetic and the normal skin color unevenness-adaptive cosmetic 3 as the night cosmetic for all the panelists. (Control group) Each of these cosmetics was used for 1.5 months, and the cosmetics were selected again in the same manner, and further used for 1.5 months. When troubles such as inflammation occurred, they were immediately discontinued. Before and after use, experts evaluated the beauty skin value by giving a score of 1 (not beautiful) to 5 (beautiful) based on the overall impression. The beautiful skin value before use was subtracted from the beautiful skin value after use to obtain a beautiful skin improvement value, which was averaged for each group to obtain a beautiful skin improvement group average value. This value is
The selection group of the present invention was 1.31, the beautiful skin index selection group was 1.21, and the control group was 0.63. The occurrence of trouble was 0 in the selected group of the present invention, 2 cases in the beautiful skin index selection group, and 5 cases in the control group. This allows
It can be seen that the method for selecting cosmetics of the present invention is more excellent in terms of safety as well as the effect of realizing beautiful skin.
【0027】 (敏感肌用化粧料;バイアル形態) グリセリン 3 重量部 1,3−ブタンジオール 3 重量部 コウキエキス 0.1重量部 シラカバエキス 0.1重量部 燐酸緩衝塩 0.1重量部 水 93.7重量部(Cosmetic for sensitive skin; vial form) Glycerin 3 parts by weight 1,3-butanediol 3 parts by weight Kouki extract 0.1 part by weight Birch extract 0.1 part by weight Phosphate buffer salt 0.1 part by weight Water 93 .7 parts by weight
【0028】 (やや敏感肌用色不均一対応化粧料) グリセリン 5 重量部 1,3−ブタンジオール 5 重量部 エタノール 5 重量部 コウキエキス 0.1重量部 シラカバエキス 0.1重量部 ローヤルゼリー 0.1重量部 ウシ胎盤抽出物 0.1重量部 水 84.6重量部(Cosmetic for color unevenness for slightly sensitive skin) Glycerin 5 parts by weight 1,3-butanediol 5 parts by weight Ethanol 5 parts by weight Kouki extract 0.1 parts by weight Birch extract 0.1 parts by weight Royal jelly 0.1 Parts by weight Bovine placenta extract 0.1 parts by weight Water 84.6 parts by weight
【0029】 (やや敏感肌用皮膚形態対応化粧料) グリセリン 5 重量部 1,3−ブタンジオール 5 重量部 エタノール 5 重量部 コウキエキス 0.1重量部 シラカバエキス 0.1重量部 ヘパリン類似物質 0.1重量部 ローズマリーエキス 0.1重量部 水 84.6重量部(Cosmetic for skin morphology for slightly sensitive skin) Glycerin 5 parts by weight 1,3-butanediol 5 parts by weight Ethanol 5 parts by weight Kouki extract 0.1 parts by weight Birch extract 0.1 parts by weight Heparin-like substance 0. 1 part by weight Rosemary extract 0.1 part by weight Water 84.6 parts by weight
【0030】 (色の不均一対応化粧料1;色ムラステージ1用の化粧料) グリセリン 3 重量部 1,3−ブタンジオール 5 重量部 エタノール 10 重量部 アルブチン 0.5重量部 アスコルビン酸燐酸2マグネシウム 0.1重量部 ソウハクヒエキス 0.3重量部 メチルパラベン 0.1重量部 水 81 重量部(Cosmetic for non-uniform color 1; Cosmetic for uneven color stage 1) Glycerin 3 parts by weight 1,3-butanediol 5 parts by weight Ethanol 10 parts by weight Arbutin 0.5 parts by weight Magnesium ascorbate 2 parts by weight 0.1 parts by weight Sour stalk extract 0.3 parts by weight Methyl paraben 0.1 parts by weight Water 81 parts by weight
【0031】 (色の不均一対応化粧料2;色ムラステージ2用の化粧料) グリセリン 3 重量部 1,3−ブタンジオール 5 重量部 エタノール 10 重量部 アルブチン 0.5重量部 ローヤルゼリー 0.1重量部 ソウハクヒエキス 0.3重量部 メチルパラベン 0.1重量部 水 81 重量部(Cosmetic for color unevenness 2; Cosmetic for color unevenness stage 2) Glycerin 3 parts by weight 1,3-butanediol 5 parts by weight Ethanol 10 parts by weight Arbutin 0.5 part by weight Royal jelly 0.1 part by weight Parts Sow arbor extract 0.3 parts by weight Methyl paraben 0.1 parts by weight Water 81 parts by weight
【0032】 (色の不均一対応化粧料3;色ムラステージ3用の化粧料) グリセリン 3 重量部 1,3−ブタンジオール 5 重量部 エタノール 10 重量部 ローヤルゼリー 0.1重量部 アスコルビン酸燐酸2マグネシウム 0.1重量部 ソウハクヒエキス 0.3重量部 メチルパラベン 0.1重量部 水 81.4重量部(Cosmetic for color unevenness 3; Cosmetic for color unevenness stage 3) Glycerin 3 parts by weight 1,3-butanediol 5 parts by weight Ethanol 10 parts by weight Royal jelly 0.1 part by weight Ascorbic acid 2 magnesium phosphate 0.1 part by weight Sour stalk extract 0.3 part by weight Methyl paraben 0.1 part by weight Water 81.4 parts by weight
【0033】 (色の不均一対応化粧料4;色ムラステージ4用の化粧料) グリセリン 3 重量部 1,3−ブタンジオール 5 重量部 エタノール 10 重量部 ローヤルゼリー 0.1重量部 ソウハクヒエキス 0.3重量部 メチルパラベン 0.1重量部 水 81.5重量部(Cosmetic for color unevenness 4; Cosmetic for color unevenness stage 4) Glycerin 3 parts by weight 1,3-butanediol 5 parts by weight Ethanol 10 parts by weight Royal jelly 0.1 part by weight Sohakuhi extract 0.3 Parts by weight methyl paraben 0.1 parts by weight water 81.5 parts by weight
【0034】 (色の不均一対応化粧料5;色ムラステージ5用の化粧料) グリセリン 3 重量部 1,3−ブタンジオール 5 重量部 エタノール 10 重量部 ローヤルゼリー 0.1重量部 ソウハクヒエキス 0.3重量部 メチルパラベン 0.1重量部 水 81.5重量部(Cosmetic for Color Non-uniformity 5; Cosmetic for Color Uneven Stage 5) Glycerin 3 parts by weight 1,3-butanediol 5 parts by weight Ethanol 10 parts by weight Royal jelly 0.1 part by weight Sohakuhi extract 0.3 Parts by weight methyl paraben 0.1 parts by weight water 81.5 parts by weight
【0035】 (皮膚形態対応化粧料1;肌理ステージ1用の化粧料) グリセリン 5 重量部 1,3−ブタンジオール 5 重量部 ローズマリーエキス 0.1重量部 バクガコンエキス 0.1重量部 大豆蛋白 0.1重量部 ステアリルウルソレート 0.1重量部 ヘパリン類似物質 0.1重量部 乳酸ナトリウム 0.1重量部 エタノール 10 重量部 メチルパラベン 0.1重量部 水 79.3重量部(Cosmetic for skin morphology 1; Cosmetic for skin texture stage 1) Glycerin 5 parts by weight 1,3-butanediol 5 parts by weight Rosemary extract 0.1 part by weight Bakagacon extract 0.1 part by weight Soy protein 0.1 part by weight Stearyl ursulate 0.1 part by weight Heparin analog 0.1 part by weight Sodium lactate 0.1 part by weight Ethanol 10 parts by weight Methyl paraben 0.1 part by weight Water 79.3 parts by weight
【0036】 (皮膚形態対応化粧料2;肌理ステージ2用の化粧料) グリセリン 5 重量部 1,3−ブタンジオール 5 重量部 ローズマリーエキス 0.1重量部 バクガコンエキス 0.1重量部 大豆蛋白 0.1重量部 ステアリルウルソレート 0.1重量部 ヘパリン類似物質 0.1重量部 エタノール 10 重量部 メチルパラベン 0.1重量部 水 79.4重量部(Cosmetic for Skin Morphology 2; Cosmetic for Skin Texture Stage 2) Glycerin 5 parts by weight 1,3-butanediol 5 parts by weight Rosemary extract 0.1 part by weight Bakugacon extract 0.1 part by weight Soy protein 0.1 parts by weight Stearyl ursulate 0.1 part by weight Heparin analog 0.1 parts by weight Ethanol 10 parts by weight Methyl paraben 0.1 parts by weight Water 79.4 parts by weight
【0037】 (皮膚形態対応化粧料3;肌理ステージ3用の化粧料) グリセリン 5 重量部 1,3−ブタンジオール 5 重量部 バクガコンエキス 0.1重量部 乳酸ナトリウム 0.1重量部 大豆蛋白 0.1重量部 ヘパリン類似物質 0.1重量部 エタノール 10 重量部 メチルパラベン 0.1重量部 水 79.5重量部(Cosmetic for skin morphology 3; Cosmetic for skin texture stage 3) Glycerin 5 parts by weight 1,3-butanediol 5 parts by weight Bacacone extract 0.1 part by weight Sodium lactate 0.1 part by weight Soy protein 0 0.1 part by weight Heparin-like substance 0.1 part by weight Ethanol 10 parts by weight Methylparaben 0.1 part by weight Water 79.5 parts by weight
【0038】 (皮膚形態対応化粧料4;肌理ステージ4用の化粧料) グリセリン 5 重量部 1,3−ブタンジオール 5 重量部 バクガコンエキス 0.1重量部 大豆蛋白 0.1重量部 ヘパリン類似物質 0.1重量部 エタノール 10 重量部 メチルパラベン 0.1重量部 水 79.6重量部(Cosmetic for skin morphology 4; Cosmetic for skin texture stage 4) Glycerin 5 parts by weight 1,3-butanediol 5 parts by weight Bakgacon extract 0.1 part by weight Soy protein 0.1 part by weight Heparin-like substance 0.1 parts by weight Ethanol 10 parts by weight Methyl paraben 0.1 parts by weight Water 79.6 parts by weight
【0039】 (皮膚形態対応化粧料5;肌理ステージ5用の化粧料) グリセリン 5 重量部 1,3−ブタンジオール 5 重量部 バクガコンエキス 0.1重量部 大豆蛋白 0.1重量部 ヘパリン類似物質 0.1重量部 エタノール 10 重量部 メチルパラベン 0.1重量部 水 79.6重量部(Cosmetic for skin morphology 5; cosmetic for skin texture stage 5) Glycerin 5 parts by weight 1,3-butanediol 5 parts by weight Bakugacon extract 0.1 part by weight Soy protein 0.1 part by weight Heparin-like substance 0.1 parts by weight Ethanol 10 parts by weight Methyl paraben 0.1 parts by weight Water 79.6 parts by weight
【0040】[0040]
【発明の効果】本発明によれば、炎症などのトラブルを
生じることなく、適切な化粧料を客観的且つ容易に選択
する方法を提供することができる。According to the present invention, it is possible to provide a method for objectively and easily selecting an appropriate cosmetic without causing troubles such as inflammation.
【図1】 メラニンの存在状態の基準を示す図である。FIG. 1 is a diagram showing criteria for the state of melanin.
【図2】 色ムラの基準を示す図である。(図面代用写
真)FIG. 2 is a diagram showing a standard of color unevenness. (Drawing substitute photo)
【図3】 肌の美しさと色調順調度の関係を示す図であ
る。FIG. 3 is a diagram showing the relationship between skin beauty and color tone smoothness.
【図4】 シワの形成の基準を示す図である。(図面代
用写真)FIG. 4 is a diagram showing criteria for forming wrinkles. (Drawing substitute photo)
フロントページの続き (72)発明者 平井 義和 神奈川県横浜市神奈川区高島台27番地1 ポーラ横浜研究所内 Fターム(参考) 2G020 AA08 DA05 DA16 DA66 4C083 AA072 AA111 AA112 AC102 AC122 AC302 AC352 AC482 AD312 AD392 AD412 AD642 CC03 DD23 EE12 EE50 Continuation of the front page (72) Inventor Yoshikazu Hirai 27-1 Takashimadai, Kanagawa-ku, Yokohama-shi, Kanagawa Prefecture F-term in the POLA Yokohama Research Laboratory 2G020 AA08 DA05 DA16 DA66 4C083 AA072 AA111 AA112 AC102 AC122 AC302 AC352 AC482 AD312 AD392 AD412 AD642 CC03 DD23 EE12 EE50
Claims (16)
ことを特徴とする、化粧料の選択法。1. A method for selecting a cosmetic, characterized by using skin beauty and skin sensitivity as indices.
態とによって表されることを特徴とする、請求項1に記
載の化粧料の選択法。2. The method for selecting cosmetics according to claim 1, wherein the beauty of the skin is represented by uneven skin color and skin morphology.
及び/又は色ムラであることを特徴とする、請求項1又
は2に記載の化粧料の選択法。3. The method for selecting a cosmetic according to claim 1, wherein the nonuniform skin color is a presence state of melanin and / or color unevenness.
メラニンの存在量と角質細胞に於ける存在の不均一性で
表されるものであることを特徴とする、請求項1〜3の
何れか一項に記載の化粧料の選択法。4. The method according to claim 1, wherein the state of the presence of melanin is represented by the amount of melanin present in the keratinocytes and the heterogeneity of the presence in keratinocytes. A method for selecting a cosmetic according to claim 1.
た、色ムラモデルを用いて、当該色ムラモデル写真と比
較することを特徴とする、請求項1〜4の何れか一項に
記載の化粧料の選択法。5. The cosmetic according to claim 1, wherein the color unevenness is evaluated by using a color unevenness model created by morphing and comparing with the color unevenness model photograph. Selection method.
状態0.2〜0.4に対して、色ムラ0.6〜0.8で
あることを特徴とする、請求項1〜5の何れか一項に記
載の化粧料の選択法。6. The method according to claim 1, wherein the evaluation weight as an index is 0.6 to 0.8 for color unevenness with respect to the presence state of melanin of 0.2 to 0.4. A method for selecting a cosmetic according to claim 1.
標として鑑別される、シワ形成可能性である、請求項1
〜6の何れか一項に記載の化粧料の選択法。7. The skin morphology is a wrinkle-forming possibility, which is distinguished by using the texture of the facial skin as an indicator.
7. The method for selecting a cosmetic according to any one of claims 6 to 6.
別されることを特徴とする、請求項7に記載の化粧料の
選択法。8. The method for selecting a cosmetic according to claim 7, wherein the disorder of the texture is discriminated by the presence or absence of the directionality.
ことを特徴とする、請求項7又は8に記載の化粧料の選
択法。9. The method for selecting a cosmetic according to claim 7, wherein the skin on the face is the skin between the outer corner of the eyes and the cheek.
る、請求項7〜9の何れか一項に記載の化粧料。10. The cosmetic according to any one of claims 7 to 9, wherein a replica specimen is used.
較し、より美肌値より乖離している指標を補正すべく化
粧料を選択することを特徴とする、請求項1〜10の何
れか一項に記載の化粧料の選択法。11. The cosmetic according to claim 1, wherein the color non-uniformity index is compared with the skin morphology index, and a cosmetic is selected so as to correct an index deviating more from the beautiful skin value. A method for selecting a cosmetic according to claim 1.
分類されることを特徴とする、請求項1〜11の何れか
一項に記載の化粧料の選択法。12. The method for selecting a cosmetic according to claim 1, wherein the sensitivity of the skin is classified into three types according to the degree.
や敏感肌及び普通肌である、請求項1〜12の何れか一
項に記載の化粧料の選択法。13. The method for selecting a cosmetic according to claim 1, wherein the three skin sensitivity classifications are sensitive skin, slightly sensitive skin and normal skin.
て鑑別されたものであることを特徴とする、請求項1〜
14の何れか一項に記載の化粧料の選択法。14. The method according to claim 1, wherein the sensitivity of the skin is determined by the shape of the keratinocytes.
15. The method for selecting a cosmetic according to any one of 14 to 14.
着ディスク転写法により採取されたものであることを特
徴とする、請求項1〜14の何れか一項に記載の化粧料
の選択法。15. The selection of the cosmetic according to any one of claims 1 to 14, wherein the keratinocytes for distinguishing skin sensitivity are collected by an adhesive disc transfer method. Law.
ることを特徴とする、請求項1〜15の何れか一項に記
載の化粧料。16. The cosmetic according to claim 1, wherein the selected cosmetic is a basic cosmetic.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002304620A (en) * | 2000-12-21 | 2002-10-18 | L'oreal Sa | Measuring method for degree of expressive feature of body |
JP2010271163A (en) * | 2009-05-21 | 2010-12-02 | Pola Chem Ind Inc | Method of evaluating skin condition |
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Cited By (4)
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---|---|---|---|---|
JP2002304620A (en) * | 2000-12-21 | 2002-10-18 | L'oreal Sa | Measuring method for degree of expressive feature of body |
JP2006048729A (en) * | 2000-12-21 | 2006-02-16 | L'oreal Sa | Methods for evaluating degree of typological characteristics of body |
US7006657B2 (en) | 2000-12-21 | 2006-02-28 | L'oreal S.A. | Methods for enabling evaluation of typological characteristics of external body portion, and related devices |
JP2010271163A (en) * | 2009-05-21 | 2010-12-02 | Pola Chem Ind Inc | Method of evaluating skin condition |
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