中国的科学家在食品领域先进期刊Journal of Food Engineering发表了题为Potential of multispectral imaging combined with chemometric methods for rapid detection of sucrose adulteration in tomato paste的文章，研究过程中，使用了VideometerLab多光谱成像系统  ，研究得出结论，多光谱成像系统在快速鉴别西红柿酱中蔗糖掺假领域有巨大应用潜力，在蔗糖浓度低于1%的情况下也无错误鉴别。 

Videometer 总部位于丹麦，是一家专注于光谱成像、自动视觉测量和质量监控的高科技公司，为多个工业领域开发高性能视觉系统，产品应用于植物表型研究、种子表型研究、生态学研究以及食品监测如肉类、海鲜、蔬菜、水果、酸奶的商检、科研等等领域。其多光谱成像技术代表了业界较高水准。光谱成像设备可用于质构、颜色、形态、光泽、形状以及表面化学有效测量等。目前利用其设备进行研究的文章发表在Nature等各个领域先进期刊上，目前全科研人员已经利用Videometer设备发表了200多篇文章。目前主打产品Videometer Lab是一款多功能多光谱成像设备，广泛应用于在植物学、种子学、食品等领域。

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Potential of multispectral imaging combined with chemometric methods for rapid detection of sucrose adulteration in tomato paste

https://doi.org/10.1016/j.jfoodeng.2017.07.026Get rights and content

Highlights

Multispectral imaging could determine sucrose proportion in tomato paste accurately.

Multispectral imaging was able to detect low proportion sucrose in tomato paste.

Multispectral imaging successfully used as a rapid screening technique for sucrose.

Abstract

Confirmation of the authenticity of tomato paste is an increasing challenge for food processors and regulatory authorities. This study focuses on the rapid qualitative and quantitative detection of sucrose adulteration in tomato paste using multispectral imaging (405–970 nm) combined with chemometric methods. Partial least squares (PLS), least squares-support vector machines (LS-SVM), and back propagation neural network (BPNN) were used to develop quantitative models. Compared with PLS and BPNN, LS-SVM considerably improved the prediction performance with coefficient of determination in prediction (RP2) of 0.936 and 0.966, the root-mean-square error of prediction (RMSEP) of 0.521% and 0.445%, and residual predictive deviation (RPD) of 5.014 and 5.865 for batch 1 and batch 2 of tomato paste, respectively. Besides, multispectral imaging was feasible to detect sucrose adulteration in tomato paste at very low proportions (1%) with no misclassification using chemometric methods. It was concluded that multispectral imaging has an excellent potential for rapid determination of sucrose adulteration in tomato paste.

Keywords

Multispectral imaging

Tomato paste

Sucrose

Rapid detection

Chemometric methods