口腔内での粒子感覚と食品物性との関係 - 粒子の認知と粒度の識別を中心として - Relationship between the Physical Properties of Foods and the Graininess Perceived by the Mouth - Recognition of Particles and Distinction of Particle Size -

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19種類の物性の異なる材料を用い,粒としての認知可能な最小粒度(認知閾値)を粒度の識別の程度を官能検査により明らかにし,物性値との関係を明らかにした.認知閾値はセルロースの51μmから道明寺粉の270μmまでの間に分布した.また粒度が約1.19倍異なる二つの粒子の粒度の識別は全材料がある粒度以上で識別できた.そのある粒度(識別最小粒度)は材料により異なり,セルロースの124μmが最小でそばの487μmが最大であった.しいたけを除いては,すべて認知閾値<識別最小粒度であった.両粒度と各物性値との関係を検討した結果,比較的強固な構造をもち,吸水が緩慢で飽和吸水量も少ないような材料は,両粒度が小さいことが明らかになった.またそのような材料ほど粒度の識別なできなくなってもまだ1粒1粒の認知はできると考えられた.認知閾値は,非常に高い重相関係を持って(R=0.93),七つの物性値を用いた重回帰式で表すことができた.

A sensory evaluation was conducted on 19 types of food material with different, physical properties to clarify the smallest size recognizable as a particle (the recognition threshold value) by the mouth and the minimum particle size difference that could be distinguished. These characteristics were examined in relation to the physical properties of each type of material. The recognition threshold value ranged from 51 μm for cellulose to 270 μm for domyoji flour. On the other hand, two particles differing in size by about 1.19 times were distinguishable for all the materials above a certain particle size (the smallest distinguishable particle size) that depended on the material. The smallest distinguishable particle size ranged from 124 μm for cellulose to 487 μm for buckwheat noodle. With all the materials except shiitake mushroom, the recognition threshold value was less than the smallest distinguishable particle size. The recognition threshold value and the smallest distinguishable particle size were examined in relation to the physical properties of the materials. As a result, both values were small when the materials had a relatively solid structure and their particles absorbed a small amount of water slowly before saturation. For materials with these features, a particle was thought to be perceived even when the particle size could not be distinguished. The recognition threshold value could be expressed by a multiple-regression equation involving seven physical properties with a high multiple-correlation coefficient (R=O.93).

収録刊行物

  • 日本家政学会誌 = Journal of home economics of Japan

    日本家政学会誌 = Journal of home economics of Japan 50(12), 1233-1243, 1999-12-15

    日本家政学会

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各種コード

  • NII論文ID(NAID)
    110003168707
  • NII書誌ID(NCID)
    AN10040097
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09135227
  • NDL 記事登録ID
    4934880
  • NDL 雑誌分類
    ZE16(社会・労働--家事・家政--学術誌)
  • NDL 請求記号
    Z6-113
  • データ提供元
    CJP書誌  CJP引用  NDL  NII-ELS  NDL-Digital 
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