Sensory Evaluation of Facial Creams With Quantitative Descriptive Analysis and Pivot‐ <scp>CATA</scp> Methods

ABSTRACT Pivot‐CATA (Pivot Profile Variant Using CATA) was utilized in the sensory evaluation of facial creams, employing a semi‐trained panel. This approach offered a rapid method of assessing product attributes, and the results were similar to those of Descriptive Analysis (DA) with a trained panel: product Y was perceived as having a higher intensity of refreshing, watery, and spreadable than product M; product M was perceived as having a higher intensity of thickness and stickiness than product Y. The RV values of Pivot‐CATA with product P1 and product P2 as Pivot products and DA were 0.840 and 0.814, respectively. The semi‐trained panelists performed well during the evaluation and can partially replace the well‐trained panelists in the sensory evaluation of facial creams. Pivot‐CATA was a practical alternative to DA. Based on the results of Principal Component Analysis of the DA, different products (product P1 and product P2) which were in the middle position of the PCA biplot of DA, were selected as Pivot products for the Pivot‐CATA evaluation and showed very similar results (RV value of 0.925). The choice of Pivot products had a minor influence on the test result.

Authors

Institutions

Publication Details

Journal
Journal of Sensory Studies
Published
2025-09-16
DOI
https://doi.org/10.1111/joss.70072
Citations
1
Primary Topic
Sensory Analysis and Statistical Methods
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sensory Evaluation of Facial Creams With Quantitative Descriptive Analysis and Pivot‐ CATA Methods

Liling Chu, Rong Qi, Dangdang Cheng
1 citations
Journal of Sensory Studies
Sensory Analysis and Statistical Methods
1.16
article

Sensory Evaluation of Facial Creams With Quantitative Descriptive Analysis and Pivot‐ CATA Methods

Liling Chu, Rong Qi, Dangdang Cheng
article en
1 citations

Abstract

ABSTRACT Pivot‐CATA (Pivot Profile Variant Using CATA) was utilized in the sensory evaluation of facial creams, employing a semi‐trained panel. This approach offered a rapid method of assessing product attributes, and the results were similar to those of Descriptive Analysis (DA) with a trained panel: product Y was perceived as having a higher intensity of refreshing, watery, and spreadable than product M; product M was perceived as having a higher intensity of thickness and stickiness than product Y. The RV values of Pivot‐CATA with product P1 and product P2 as Pivot products and DA were 0.840 and 0.814, respectively. The semi‐trained panelists performed well during the evaluation and can partially replace the well‐trained panelists in the sensory evaluation of facial creams. Pivot‐CATA was a practical alternative to DA. Based on the results of Principal Component Analysis of the DA, different products (product P1 and product P2) which were in the middle position of the PCA biplot of DA, were selected as Pivot products for the Pivot‐CATA evaluation and showed very similar results (RV value of 0.925). The choice of Pivot products had a minor influence on the test result.

Journal of Sensory StudiesVol. 40(5)
Yunnan Agricultural University (CN), Fosun Pharma (China) (CN), Yuntianhua Group (China) (CN)
Openalex Percentile: Top 18%
Sensory Analysis and Statistical Methods
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Sensory Evaluation of Facial Creams With Quantitative Descriptive Analysis and Pivot‐ <scp>CATA</scp> Methods — Liling Chu, Rong Qi, et al. · Journal of Sensory Studies (2025) | TGRS Research Map | TGRS