Aung Moon Sai, Wongsakul Sirirung, Kitazawa Hiroaki, Kittiwachana Sila, Saengrayap Rattapon
School of Agro-Industry, Mae Fah Luang University, Chiang Rai 57100, Thailand.
Coffee Quality Research Group, Mae Fah Luang University, Chiang Rai 57100, Thailand.
Foods. 2024 Jul 24;13(15):2331. doi: 10.3390/foods13152331.
Coffee bean oxidation is associated with enzymatic and non-enzymatic browning, the degradation of desirable aromatic compounds, the development of undesirable flavors, increased susceptibility to microbial spoilage, and volatile compound losses. This study investigated natural dry process (DP) and honey process (HP) green coffee beans stored in GrainPro bags for 0, 5, 10, and 20 days under accelerated storage conditions at 30 °C, 40 °C, and 50 °C with relative humidity of 50%. A kinetic model was used to estimate the shelf life of the green coffee beans. DP recorded durability of 45.67, 29.9, and 24.92 days at 30 °C, 40 °C, and 50 °C, respectively, with HP 60.34, 38.07, and 19.22 days. Partial least squares (PLS) analysis was performed to build the models in order to predict the shelf life of coffee based on peroxide (PV) and thiobarbituric acid reactive substances (TBARS) values. In terms of prediction with leave-one-out cross-validation (LOOCV), PLS provided a higher accuracy for TBARS (R2 = 0.801), while PV was lower (R2 = 0.469). However, the auto-prediction showed good agreement among the observed and predicted values in both PV (R2 = 0.802) and TBARS (R2 = 0.932). Based on the variable importance of projection (VIP) scores, the ATR-FTIR peaks as 3000-2825, 2154-2150, 1780-1712, 1487-2483, 1186-1126, 1107-1097, and 1012-949 cm were identified to be the most related to PV and TBARS on green coffee beans shelf life. ATR-FITR showed potential as a fast and accurate technique to evaluate the oxidation reaction that related to the loss of coffee quality during storage.
咖啡豆氧化与酶促和非酶促褐变、理想芳香化合物的降解、不良风味的产生、微生物腐败易感性增加以及挥发性化合物损失有关。本研究调查了在30°C、40°C和50°C、相对湿度50%的加速储存条件下,储存在GrainPro袋中的自然干燥处理(DP)和蜂蜜处理(HP)生咖啡豆,储存时间分别为0、5、10和20天。使用动力学模型来估计生咖啡豆的保质期。DP在30°C、40°C和50°C下的保质期分别为45.67天、29.9天和24.92天,而HP分别为60.34天、38.07天和19.22天。进行了偏最小二乘法(PLS)分析以建立模型,以便根据过氧化物值(PV)和硫代巴比妥酸反应性物质(TBARS)值预测咖啡的保质期。就留一法交叉验证(LOOCV)预测而言,PLS对TBARS的预测准确率较高(R2 = 0.801),而对PV的预测准确率较低(R2 = 0.469)。然而,自动预测显示,PV(R2 = 0.802)和TBARS(R2 = 0.932)的观测值和预测值之间具有良好的一致性。基于投影变量重要性(VIP)得分,鉴定出3000 - 2825、2154 - 2150、1780 - 至1712、1487 - 2483、1186 - 1126、1107 - 1097和1012 - 949 cm处的衰减全反射傅里叶变换红外光谱(ATR - FTIR)峰与生咖啡豆保质期的PV和TBARS最相关。ATR - FITR显示出作为一种快速准确的技术来评估与储存期间咖啡品质损失相关的氧化反应的潜力。