Multiplatform Path-ComDim study of Capixaba, indigenous and non-indigenous Amazonian Canephora coffees

Area of Science:

• Agricultural Science
• Food Science
• Analytical Chemistry

Background:

• Brazilian Canephora coffees exhibit regional variations influenced by geography and climate.
• Botanical varieties (Capixaba, indigenous, non-indigenous Amazonian) present distinct characteristics.
• Understanding these differences is crucial for coffee quality assessment and industry standards.

Purpose of the Study:

• To investigate the impact of geographical origin and botanical variety on Brazilian Canephora coffee characteristics.
• To evaluate the effectiveness of integrating diverse measurement platforms for coffee analysis.
• To uncover correlations between instrumental and sensory coffee attributes.

Main Methods:

• Analysis of Brazilian Canephora coffees from Rondônia and Espírito Santo.
• Utilized nine distinct platforms, including spectroscopic techniques and sensory evaluations.
• Applied multi-block Principal Analysis of Component s for Discriminant Analysis (Path-ComDim) to integrated datasets.

Main Results:

• Confirmed that geographical and climatic differences significantly impact coffee characteristics.
• Demonstrated that integrating multiple data sets provides a more nuanced understanding of coffee profiles.
• Uncovered crucial correlations between instrumental and sensory measurements.

Conclusions:

• Multiplatform approaches enhance coffee quality evaluation, offering a more detailed and comprehensive view.
• The study validates the hypothesis regarding geographical and botanical influences on coffee profiles.
• Integrated data analysis is superior to conventional single-method approaches for coffee characterization.