Sensory Profiling of Commercial Sweet Crackers Using Check-All-That-Apply and Just-About Right Methods

This study employed a dual-sensory technique to assess six commercially available sweet cracker products. The just-about-right (JAR) method was used to measure ideal intensity, while the check-all-that-apply (CATA) method was employed to determine attribute presence. A focus group discussion generated a lexicon of eighteen descriptors, from which six essential attributes, coarseness, roughness, creaminess, milkiness, sweet aftertaste, and grittiness, were selected for the JAR evaluation. In a randomized home-use test (HUT), thirty-three Indonesian panelists evaluated these attributes. JAR data were analyzed for deviation percentages and penalty effects on overall liking, while CATA responses were subjected to Cochran’s Q test with Bonferroni-adjusted McNemar comparisons. The findings indicate that adjusting attribute intensities to align with panelists’ ideals significantly improves acceptability, particularly for sample 363. Recommen-dations are provided for improving the formulation.

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Publication Details

Journal
Jurnal Teknologi dan Industri Pangan
Published
2025-05-23
DOI
https://doi.org/10.6066/jtip.2025.36.1.121
Primary Topic
Sensory Analysis and Statistical Methods
Type
article
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article

Sensory Profiling of Commercial Sweet Crackers Using Check-All-That-Apply and Just-About Right Methods

Philipp L. Fuhrmann, Iryna Smetanska, Dias Indrasti, Dase Hunaefi et al.
Jurnal Teknologi dan Industri Pangan
Sensory Analysis and Statistical Methods
article

Sensory Profiling of Commercial Sweet Crackers Using Check-All-That-Apply and Just-About Right Methods

Philipp L. Fuhrmann, Iryna Smetanska, Dias Indrasti, Dase Hunaefi, Dwi Desmiyeni Putri
article en

Abstract

This study employed a dual-sensory technique to assess six commercially available sweet cracker products. The just-about-right (JAR) method was used to measure ideal intensity, while the check-all-that-apply (CATA) method was employed to determine attribute presence. A focus group discussion generated a lexicon of eighteen descriptors, from which six essential attributes, coarseness, roughness, creaminess, milkiness, sweet aftertaste, and grittiness, were selected for the JAR evaluation. In a randomized home-use test (HUT), thirty-three Indonesian panelists evaluated these attributes. JAR data were analyzed for deviation percentages and penalty effects on overall liking, while CATA responses were subjected to Cochran’s Q test with Bonferroni-adjusted McNemar comparisons. The findings indicate that adjusting attribute intensities to align with panelists’ ideals significantly improves acceptability, particularly for sample 363. Recommen-dations are provided for improving the formulation.

Jurnal Teknologi dan Industri PanganVol. 36(1)
IPB University (ID), BOKU University (AT)
Openalex Percentile: Top 87%
Sensory Analysis and Statistical Methods
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