Comparative analysis of post-harvest processing and drying techniques on the cupping quality of Thai Arabica coffee

Climate variability poses significant challenges to Thai Arabica coffee. Unstable weather has negatively impacted the quality of Northern Thai Arabica, leading to issues with quality consistency and reduced market competitiveness for Thai coffee growers. Enhancing refining postharvest processing methods is crucial for improving the overall quality of Thai coffee. This study investigates the impact of drying techniques, i.e., controlled environment drying (CED), sun drying (SD), and fast drying (FD), alongside processing methods. i.e., dry process (DP), washed process (WP), and honey processes (HP), on the pH, total titratable acidity (TA), total soluble solids (TSS), volatile compounds, and cupping scores of roasted coffee beans. Results showed significant differences ( p < 0.05) among the drying methods and processing techniques regarding the pH, TA, TSS, volatile compounds, and cupping scores of the roasted beans. CED-DP and CED-HP obtained the highest cupping scores of 83.17 ± 1.26 and 83.33 ± 0.58, respectively. CED gave high levels of total ester and heterocyclic N, FD gave high total acetate, and SD gave high total acid, alcohol, aldehyde, furan, ketone, and pyrazine which link to the sensory attributes. Principal component analysis (PCA) of the chemical compound groups explained 87.97 % of the cumulative variance, revealing distinct associations between processing methods and sensory attributes. DP samples were aligned with acidity, overall, TA, TSS, and total esters and aldehydes, while WP samples were aligned with characteristics such as uniformity, clean cup, acid, alcohol, and pyrazine and HP samples were linked to the sensory characteristics of sweetness, aftertaste, body, flavor, balance, fragrance/aroma, pH, acetate, ketone, furan, and heterocyclic N. These findings offer actionable insights for Thai coffee producers to improve coffee quality by selecting the proper postharvest processing for desired characteristics, despite climatic challenges. • Postharvest processing significantly influences the cupping quality of coffee. • Fast drying (FD) can enhance the acidity of coffee. • Controlled environment drying (CED) can contribute to a higher cupping score. • CED helps preserve volatile compounds contributing to the desirable coffee’s flavor.

Authors

Institutions

Publication Details

Journal
Journal of Agriculture and Food Research
Published
2025-05-05
DOI
https://doi.org/10.1016/j.jafr.2025.101991
Citations
2
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
2.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative analysis of post-harvest processing and drying techniques on the cupping quality of Thai Arabica coffee

Sirirung Wongsakul, H. Kitazawa, Rattapon Saengrayap, Sai Aung Moon
2 citations
Journal of Agriculture and Food Research
Coffee research and impacts
2.79
article

Comparative analysis of post-harvest processing and drying techniques on the cupping quality of Thai Arabica coffee

Sirirung Wongsakul, H. Kitazawa, Rattapon Saengrayap, Sai Aung Moon
article en
2 citations

Abstract

Climate variability poses significant challenges to Thai Arabica coffee. Unstable weather has negatively impacted the quality of Northern Thai Arabica, leading to issues with quality consistency and reduced market competitiveness for Thai coffee growers. Enhancing refining postharvest processing methods is crucial for improving the overall quality of Thai coffee. This study investigates the impact of drying techniques, i.e., controlled environment drying (CED), sun drying (SD), and fast drying (FD), alongside processing methods. i.e., dry process (DP), washed process (WP), and honey processes (HP), on the pH, total titratable acidity (TA), total soluble solids (TSS), volatile compounds, and cupping scores of roasted coffee beans. Results showed significant differences ( p < 0.05) among the drying methods and processing techniques regarding the pH, TA, TSS, volatile compounds, and cupping scores of the roasted beans. CED-DP and CED-HP obtained the highest cupping scores of 83.17 ± 1.26 and 83.33 ± 0.58, respectively. CED gave high levels of total ester and heterocyclic N, FD gave high total acetate, and SD gave high total acid, alcohol, aldehyde, furan, ketone, and pyrazine which link to the sensory attributes. Principal component analysis (PCA) of the chemical compound groups explained 87.97 % of the cumulative variance, revealing distinct associations between processing methods and sensory attributes. DP samples were aligned with acidity, overall, TA, TSS, and total esters and aldehydes, while WP samples were aligned with characteristics such as uniformity, clean cup, acid, alcohol, and pyrazine and HP samples were linked to the sensory characteristics of sweetness, aftertaste, body, flavor, balance, fragrance/aroma, pH, acetate, ketone, furan, and heterocyclic N. These findings offer actionable insights for Thai coffee producers to improve coffee quality by selecting the proper postharvest processing for desired characteristics, despite climatic challenges. • Postharvest processing significantly influences the cupping quality of coffee. • Fast drying (FD) can enhance the acidity of coffee. • Controlled environment drying (CED) can contribute to a higher cupping score. • CED helps preserve volatile compounds contributing to the desirable coffee’s flavor.

Journal of Agriculture and Food ResearchVol. 21
Japan Women's University (JP), Mae Fah Luang University (TH)
Zero hunger
Openalex Percentile: Top 11%
Coffee research and impacts
2.79
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.