Chen Mingming, Quan Zhigang, Sun Xinyue, Li Yanlong, Qian Lili, Zhang Dongjie
College of Food Science, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Key Laboratory of Agri-Products Processing and Quality Safety of Heilongjiang Province, Daqing 163319, China.
Foods. 2025 Jan 1;14(1):89. doi: 10.3390/foods14010089.
The feasibility of the two methodologies was confirmed to compare the results of determining mung bean origins using Raman and Near-Infrared (NIR) spectroscopy. Spectra from mung beans collected in Baicheng City, Jilin Province; Dorbod Mongol Autonomous, Tailai County, Heilongjiang Province; and Sishui County, Shandong Province, China, were analyzed. We established a traceability model using Principal Component Analysis combined with the K-nearest neighbor method to compare the efficacy of these methods in discriminating the origins of the mung beans. The total cumulative variance explained by the first three principal components from the NIR of mung beans from different origins was 99.01%, which is 6.71% higher than that derived from Raman. Additionally, the discrimination rate for mung bean origins based on NIR spectral data reached 98.67%, outperforming the Raman-based approach by 22.67%. These findings indicate that NIR spectroscopy is more effective than Raman spectroscopy is in tracing the provenance of mung beans.
通过拉曼光谱和近红外（NIR）光谱法比较绿豆产地测定结果，证实了这两种方法的可行性。分析了来自中国吉林省白城市、黑龙江省泰来县杜尔伯特蒙古族自治县和山东省泗水县的绿豆光谱。我们使用主成分分析结合K近邻法建立了可追溯性模型，以比较这些方法在鉴别绿豆产地方面的效果。不同产地绿豆近红外光谱前三个主成分解释的总累积方差为99.01%，比拉曼光谱高出6.71%。此外，基于近红外光谱数据的绿豆产地判别率达到98.67%，比基于拉曼光谱的方法高出22.67%。这些结果表明，在追踪绿豆来源方面，近红外光谱比拉曼光谱更有效。
