Department of Food Science and Nutrition, School of Food Engineering, Universidade Estadual de Campinas - UNICAMP, Campinas, São Paulo, Brazil; Department of Chemistry, University of Rome "La Sapienza", Piazzale Aldo Moro 5, 00185 Rome, Italy.
Muséum national d'Histoire naturelle, MCAM, UMR7245 CNRS, Paris, France; Faculté de Pharmacie, Université Paris-Saclay, Orsay, France.
Food Chem. 2025 Jan 15;463(Pt 4):141485. doi: 10.1016/j.foodchem.2024.141485. Epub 2024 Oct 2.
Integrating diverse measurement platforms can yield profound insights. This study examined Brazilian Canephora coffees from Rondônia (Western Amazon) and Espírito Santo (southeast), hypothesizing that geographical and climatic differences along botanical varieties significantly impact coffee characteristics. To test this, capixaba, indigenous, and non-indigenous Amazonian canephora coffees were analyzed using nine distinct platforms, including both spectroscopic techniques and sensory evaluations, to obtain results that are more informative and complementary than conventional single-method analyses. By applying multi-block Path-ComDim analysis to the multiple data sets, we uncovered crucial correlations between instrumental and sensory measurements. This integrated approach not only confirmed the hypothesis but also demonstrated that combining multiple data sets provides a more nuanced understanding of coffee profiles than traditional single-method analyses. The results underscore the value of multiplatform approaches in enhancing coffee quality evaluation, offering a more detailed and comprehensive view of coffee characteristics that can drive future research and improve industry standards.
整合多种测量平台可以带来深刻的见解。本研究考察了来自巴西朗多尼亚（亚马逊西部）和圣埃斯皮里图（东南部）的卡内弗拉咖啡，假设沿植物品种的地理和气候差异会显著影响咖啡的特征。为了检验这一点，采用了九种不同的平台分析了卡皮萨巴、本土和非本土亚马逊卡内弗拉咖啡，包括光谱技术和感官评估，以获得比传统单一方法分析更具信息量和互补性的结果。通过对多个数据集应用多块路径-ComDim 分析，我们揭示了仪器和感官测量之间的关键相关性。这种综合方法不仅证实了假设，还表明结合多个数据集比传统的单一方法分析更能深入了解咖啡的特征。研究结果强调了多平台方法在提高咖啡质量评估中的价值，提供了对咖啡特征的更详细和全面的了解，这可以推动未来的研究并提高行业标准。
