Science on Cleaning and Detergents (Masaru Oya)
(https://detergent.jp) 📸 Data Snapshot: May 26, 2026Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.
The site exhibits near-zero fluff, with a 0% saturation of power words in headings. Instead of generic marketing terms, headings and body text contain highly specific technical nouns and scientific queries such as [Q12] Calculation method for pH of carbonate aqueous solutions and [Q19] Components of sebum dirt. The body text is almost entirely comprised of technical protocols, academic references, and specific research areas without any generic marketing fillers.
Information Density is read straight from the body copy: how much of the text carries grounded, checkable substance versus hollow filler. Below is the clean text the engine analyzed, then the industry’s known generic-claim patterns to weigh it against.
📝 The Narrative — clean text per page (the substance-vs-filler signal)
HOMEPAGE · THIN (https://detergent.jp) 洗浄と洗剤の科学
洗浄と洗剤の科学 大矢勝（横浜国立大学名誉教授・放送大学神奈川学習センター客員教授）の洗浄理論、洗浄技術、洗浄試験法、洗剤の化学等に関するページ [IMG: Science on cleaning and detergents] [H3] 大学研究室から学外の新研究室に移転しました。 洗浄・洗剤関連の技術相談等は oya@=@detergent.jp (@=@を@に変更）までご連絡ください。 洗浄・洗剤のQ&Aコーナー 注目点↓ [Q1]洗浄とは？ [Q5]洗浄メカニズムの基礎 [Q8]洗浄理論とは？ [Q12]炭酸塩水溶液のpHの計算法 [Q17]湿式人工汚染布とは？ [Q19]皮脂汚れの成分は？ [Q25]界面活性剤関連外書(1) [Q28]過酸化水素の反応 [IMG: シャル（ロシアンブルー）] 大矢 勝（おおや まさる）自己紹介 新研究室案内 技術相談等 学術論文等 著作 他の文献 学会等発表 講演等 TV出演等 大矢写真館 管 理 [H3] [H3] 【洗剤・洗浄の解説コーナー】 【英語学習（洋楽）】 [H3] 【全画面表示はこちら】 【全画面表示はこちら】 ＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝ 横浜国立大学名誉教授 大矢 勝 oya@=@detergent.jp （@=@を@に書き換えてください）
SUB-PAGE (https://detergent.jp/eng_song50.html) eng_song
洋楽ベスト50（英語学習用） 英語のリスニングがだめ。一般の教材を使って長年練習して、そして英語のニュース番組などは多少適応できるようになったとは思うのですが、映画の中の会話や、ニュース番組中でもインタビューなんて全然聞き取れない。歌なんて全くダメ。それでいっその事、英語の歌を教材にしてトライしてみました。聞いて、意味理解して、覚えて、口ずさめるように。夜寝る前に睡眠薬代わりに思い出せるようになったらOK。それで、50曲達成。下は取り組んだものです。どんな歌があったかを、いつでにどこでも調べられるようにWEB上にまとめておくことにしました。 コロナのせいで海外行きもなくなったし、英語学習の意味は薄れたけれども、歌は楽しむことにしました。認知症防止にもなりそうだし。コロナが落ち着いたら一人カラオケでも行ってみようか・・・と。 [1] Killing me softly with his song (Roberta Flack) ref_1 [2] Uptown girl (Billy Joel) ref_1 [3] Separate ways (Journey) ref_1 [4] Imagine (John Lennon) ref_1 [5] Top of the world (Carpenters) ref_1 [6] We Are The World (Michael Jackson, et al.) ref_1 [7] Let it be (The Beatles) ref_1 [8] Arthur's theme (Christopher Cross) ref_1 [9] Last Christmas (Wham!) ref_1 [10] Can't take my eyes off you (Boys Town Gang) ref_1 [11] Hard to Say I'm Sorry (Chicago) ref_1 [12] Have you never been mellow (Olivia Newton-John) ref_1 [13] I'm in the mood for Dancing (The Nolans) ref_1 [14] Let It Go (Idina Menzel) ref_1 [15] We Are all alone (Boz Scaggs) ref_1 [16] Chiquitita (ABBA) ref_1 [17] Mrs. Robinson (Simon & Garfunkel) ref_1 [18] Ai No Corrida (Quincy Jones) ref_1 [19] I Want To Hold Your Hand (The Beatles) ref_1 [20] I was Born to love you (Queen) ref_1 [21] Stranger (Billy Joel) ref_1 [22] Copacabana (Barry Manilow) ref_1 [23] Dancing queen (ABBA) ref_1 [24] Sound of Silence (Simon & Garfunkel) ref_1 [25] Fantasy (EWF) ref_1 [26] Don't Let Me Be Misunderstood (Santa Esmeralda)［悲しき願い］ ref_1 [27] Help (The Beatles) ref_1 [28] HEY JUDE (The Beatles) ref_1 [29] Minority (Geenday) ref_1 [30] Private Eyes (Daryl Hall & John Oates) ref_1 [31] Honesty (Billy Joel) ref_1 [32] Together Forever (Rick Astley) ref_1 [33] Hotel California (Eagles) ref_1 [34] When will I see you again (The Three Degrees) ref_1 [35] Love in the first degree (Bananarama) ref_1 [36] Superstar (Carpenters) ref_1 [37] Sing a song (The Carpenters) ref_1 [38] Anyway you want it (Journey) ref_1 [39] I've Never Been To Me (Charlene) ref_1 [40] You light up my life (Debby Boone) ref_1 [41] A Hard Day's Night (The Beatles) ref_1 [42] All My Loving (The Beatles) ref_1 [43] Eye of the tiger (Survivor) ref_1 [44] Boxer (Simon & Garfunkel) ref_1 [45] Don't Stop Me Now (Queen) ref_1 [46] Tie A Yellow Ribbon Round The Old Oak Tree (Tony Orlando & Dawn) ref_1 [47] YMCA (The Village People) ref_1 [48] Yesterday (The Beatles) ref_1 [49] Take me home Country roads (John Denver) ref_1 [50] Scarborough Fair (Simon & Garfunkel) ref_1
🧭 Industry Context — common generic-claim patterns in Science, Research & Laboratories to weigh the text against
This page presents a snapshot of public data from Science on Cleaning and Detergents (Masaru Oya), captured on May 26, 2026, to show how machine logic reads Information Density signals into an AI reputation evaluation.
Purpose: This data is presented under “Fair Use” for the purpose of independent signal analysis, allowing readers to see the raw signals behind the reputation score.
Notice to Science on Cleaning and Detergents (Masaru Oya): This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results are intended as professional feedback to help improve any website’s machine-readability and authority signals. The evaluation is free, and any company can request a fresh audit at any time.
Any company can use the insights for free and improve its voice. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://detergent.jp to view the most current version of its content and see directly what this company is about and what it offers.