Shi Shijie, Tang Zihan, Ma Yingying, Cao Cougui, Jiang Yang
College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
Shuangshui Shuanglü Institute, Huazhong Agricultural University, Wuhan, Hubei, China.
Crit Rev Food Sci Nutr. 2025;65(5):913-935. doi: 10.1080/10408398.2023.2284246. Epub 2023 Nov 27.
Rice is a staple food for two-thirds of the world's population and is grown in over a hundred countries around the world. Due to its large scale, it is vulnerable to adulteration. In addition, the quality attribute of rice is an important factor affecting the circulation and price, which is also paid more and more attention. The combination of spectroscopy and chemometrics enables rapid detection of authenticity and quality attributes in rice. This article described the application of seven spectroscopic techniques combined with chemometrics to the rice industry. For a long time, near-infrared spectroscopy and linear chemometric methods (e.g., PLSR and PLS-DA) have been widely used in the rice industry. Although some studies have achieved good accuracy, with models in many studies having greater than 90% accuracy. However, higher accuracy and stability were more likely to be obtained using multiple spectroscopic techniques, nonlinear chemometric methods, and key wavelength selection algorithms. Future research should develop larger rice databases to include more rice varieties and larger amounts of rice depending on the type of rice, and then combine various spectroscopic techniques, nonlinear chemometric methods, and key wavelength selection algorithms. This article provided a reference for a more efficient and accurate determination of rice quality and authenticity.
水稻是世界三分之二人口的主食，在全球一百多个国家种植。由于其种植规模大，容易受到掺假影响。此外，水稻的品质属性是影响其流通和价格的重要因素，也越来越受到关注。光谱学与化学计量学相结合能够快速检测水稻的真伪和品质属性。本文介绍了七种光谱技术与化学计量学相结合在水稻产业中的应用。长期以来，近红外光谱和线性化学计量方法（如偏最小二乘回归（PLSR）和偏最小二乘判别分析（PLS-DA））在水稻产业中得到了广泛应用。虽然一些研究取得了良好的准确性，许多研究中的模型准确率超过90%。然而，使用多种光谱技术、非线性化学计量方法和关键波长选择算法更有可能获得更高的准确性和稳定性。未来的研究应根据水稻类型开发更大的水稻数据库，纳入更多水稻品种和更多数量的水稻，然后结合各种光谱技术、非线性化学计量方法和关键波长选择算法。本文为更高效、准确地测定水稻品质和真伪提供了参考。
