Research on Identification of Non-Directional Doping of Egg White
Powder Based on Near Infrared Spectroscopy and LOF
ZHU Zhi-hui1, 2, LI Wo-lin1, HAN Yu-tong1, YE Wen-jie1, JIN Yong-tao1, WANG Qiao-hua1, 2, MA Mei-hu3
1. College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
2. Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River, Ministry of Agriculture, Wuhan 430070, China
3. College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
Abstract：Egg white powder adulteration identification technology is of great significance to ensure the quality and safety of egg powder, however, the traditional biomolecular detection methods are complicated and time-consuming, and the adulteration identification model for egg white powder is still mainly a directional identification model, which has a limited detection range and can not effectively cover all the possible adulterants, so it is urgently needed to develop a fast, accurate and generalized method for egg white powder adulteration identification. In this study, we introduced near-infrared spectroscopy detection technology and constructed a LOF non-directional identification model. The model is an unsupervised single classification model, and MSC preprocessing and CARS wavelength screening processing are added to the original model to enhance the model's ability to extract spectral features, reduce noise interference, and lower computational requirements. The experimental results show that the detection rate of the LOF non-directional identification model for adulterated egg white powder can reach 93.6%. Its accuracy, precision, recall, and F1 score reach 93.6%, 95.5%, 93.6%, and 94.5%, respectively. For egg white powder with an adulteration concentration of more than 15%, the total accuracy rate (AAR) of both test sets reaches 100%, and the average detection time (AATS) can be as low as 0.001 1 s. Compared to other non-directional algorithms, this algorithm has higher accuracy and is more generalizable than traditional directional models, making it more suitable for identifying egg white powder adulteration with a wide variety of adulteration types in the market. This study can provide a theoretical basis for the subsequent development of a portable near-infrared spectroscopy detector for detecting egg white powder quality.
Key words：Egg white powder; Near-infrared spectroscopy; Authenticity detection; Local outlier factor detection algorithm; Untargeted detection
祝志慧，李沃霖，韩雨彤，叶文杰，金永涛，王巧华，马美湖. 基于近红外光谱和LOF的蛋清粉非定向掺杂鉴别研究[J]. 光谱学与光谱分析, 2025, 45(06): 1768-1775.
ZHU Zhi-hui, LI Wo-lin, HAN Yu-tong, YE Wen-jie, JIN Yong-tao, WANG Qiao-hua, MA Mei-hu. Research on Identification of Non-Directional Doping of Egg White
Powder Based on Near Infrared Spectroscopy and LOF. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(06): 1768-1775.
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