Irudayaraj Joseph, Tewari Jagdish
Department of Agricultural and Biological Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Appl Spectrosc. 2003 Dec;57(12):1599-604. doi: 10.1366/000370203322640242.
A combination of Fourier transform infrared spectroscopy (FT-IR) and chemometrics was used as a screening tool for the determination of sugars and organic acids such as sucrose, glucose, fructose, sorbitol, citric acid, and malic acid in processed commercial and extracted fresh apple juices. Prepared samples of synthetic apple juice in different constituent concentration ranges were scanned by attenuated total reflectance (ATR) accessory and the spectral region in the range between 950 and 1500 cm(-1) was selected for calibration model development using partial least squares (PLS) regression and principal component regression (PCR). The calibration models were successfully validated by high-performance liquid chromatography (HPLC) measurements against several commercial juice varieties as well as juice extracted from different apple varieties to provide an overall R2 correlation of 0.998. The present study demonstrates that Fourier transform infrared spectroscopy could be used for rapid and nondestructive determination of multiple constituents in commercial and fresh apple juices. Results indicate this approach to be a rapid and cost-effective tool for routine monitoring of multiple constituents in a fruit juice production facility.
傅里叶变换红外光谱法(FT-IR)与化学计量学相结合,被用作一种筛选工具,用于测定加工后的商业苹果汁和提取的新鲜苹果汁中的糖类和有机酸,如蔗糖、葡萄糖、果糖、山梨醇、柠檬酸和苹果酸。通过衰减全反射(ATR)附件对不同成分浓度范围的合成苹果汁制备样品进行扫描,并选择950至1500 cm(-1)范围内的光谱区域,使用偏最小二乘法(PLS)回归和主成分回归(PCR)建立校准模型。通过高效液相色谱(HPLC)测量,针对几种商业果汁品种以及从不同苹果品种中提取的果汁,成功验证了校准模型,整体R2相关性为0.998。本研究表明,傅里叶变换红外光谱法可用于快速、无损地测定商业苹果汁和新鲜苹果汁中的多种成分。结果表明,这种方法是一种快速且经济高效的工具,可用于果汁生产设施中多种成分的常规监测。