Feng Chao-Hui, Arai Hirofumi, Rodríguez-Pulido Francisco J
School of Regional Innovation and Social Design Engineering, Faculty of Engineering, Kitami Institute of Technology, Kitami, Hokkaido, Japan.
RIKEN Centre for Advanced Photonics, RIKEN, Sendai, Miyagi, Japan.
Front Nutr. 2024 Mar 4;11:1370339. doi: 10.3389/fnut.2024.1370339. eCollection 2024.
An investigation was conducted using a hyperspectral imaging (HSI) system to non-invasively estimate adenosine triphosphate (ATP) content in vacuum packaged sausages in different modified casing treatments added with orange extracts after a year of storage at 4°C.
Various pre-processing combinations were applied to the spectra to enhance the performance of partial least squares regression (PLSR).
PLSR models, utilising the full absorbance spectrum with pre-treatment of standard normal variate combined with 1 derivative,exhibited prediction coefficients of determination (R) reaching up to 0.6629. A distribution map developed through MATLAB was employed to display the location and concentration of ATP content in these unique sausages for the first time. The integration of HSI and multivariate analysis not only quantifies but also visually represents the changes in ATP content response to the different casing treatments, demonstrating the significant potential for real-time inspection in the processed meat industry.
使用高光谱成像(HSI)系统进行了一项调查,以在4°C下储存一年后,对添加了橙子提取物的不同改良肠衣处理的真空包装香肠中的三磷酸腺苷(ATP)含量进行无创估计。
对光谱应用了各种预处理组合,以提高偏最小二乘回归(PLSR)的性能。
利用全吸收光谱并结合标准正态变量与一阶导数进行预处理的PLSR模型,其预测决定系数(R)高达0.6629。首次使用通过MATLAB开发的分布图来展示这些独特香肠中ATP含量的位置和浓度。HSI与多变量分析的结合不仅对ATP含量进行了量化,还直观地呈现了其对不同肠衣处理的响应变化,证明了在加工肉类行业进行实时检测的巨大潜力。