Optimization of Steaming Conditions for Bellflower Root (Platycodon grandiflorus) Using K-Means Clustering-Based Morphological Grading System

  • Oyinloye, Timilehin Martins; 
  • An, Seohee; 
  • Cho, Chang-Won; 
  • Yoon, Won Byong
Citations

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4
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SCOPUS

5

초록

Bellflower roots were categorized into three clusters (class 0, class 1, and class 2) using K-means clustering based on their morphological factors: length (282.8 +/- 29.53, 138.75 +/- 26.8, and 209.89 +/- 20.49 mm), thickness (16.25 +/- 2.82, 16.77 +/- 3.35, and 16.52 +/- 3.05 mm), and body shape coefficient (5.80 +/- 1.15, 12.73 +/- 4.82, and 7.95 +/- 1.71). Internal void formation, a key quality factor for bellflower root, was analyzed under pre-steaming conditions, identifying temperatures between 20 and 25 degrees C as optimal for storage. Within the clustered class, steaming for a prolonged duration increased the formation of internal voids and caused a decrease in normal stress values, total dissolved solids (TDS), and pectin content. Class 0, with larger and thicker roots, exhibited higher internal voids (57% void rate) due to uneven heat distribution and incomplete starch gelatinization. Class 2 roots demonstrated better structural integrity, with a void rate of 26% and a stress value of 48 kN/m2. These findings highlight the importance of morphological classification and optimal storage temperatures to improve the quality of steamed bellflower roots.

키워드

bellflower root; K-means clustering; total dissolvable solid; texture; pectin
제목
Optimization of Steaming Conditions for Bellflower Root (Platycodon grandiflorus) Using K-Means Clustering-Based Morphological Grading System
저자
Oyinloye, Timilehin Martins; An, Seohee; Cho, Chang-Won; Yoon, Won Byong
DOI
10.3390/pr12112347
발행일
2024-11
유형
Article
저널명
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권
12
호
11