Li Haoyu, Shen Li, Han Xiang, Liu Yu, Wang Yutong
Tianjin Key Laboratory of Quantum Optics and Intelligent Photonics, School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Sensors (Basel). 2025 Jul 7;25(13):4226. doi: 10.3390/s25134226.
This study aims to rapidly in situ identify starch sausage samples with the improper addition of chicken bone paste. Chicken bones play important roles in building materials, biomass fuels, and as food additives after enzymatic hydrolysis, but no current research indicates that chicken bones can be directly added to food for consumption. Especially in starch sausages, the addition of chicken bone paste is highly controversial due to potential risks of esophageal laceration and religious concerns. This paper first uses laser-induced breakdown spectroscopy (LIBS) to investigate the elemental differences between starch sausages and chicken bone paste. By preparing mixtures of starch sausages and chicken bone paste at different ratios, the relationships between the spectral peak intensities of elements, such as Ca, Ba, and Sr, and the proportion of chicken bone paste were determined. Through processing methods such as normalization with reference spectral lines, selection of the signal of the second laser pulse at the same position, and electron temperature correction, the determination coefficients (R) of each element's spectral lines have significantly improved. Specifically, the R values for Ca I, Ca II, Ba II, and Sr II have increased from 0.302, 0.694, 0.857, and 0.691 to 0.972, 0.952, 0.970, and 0.982, respectively. Finally, principal component analysis (PCA) was used to distinguish starch sausages, chicken bone paste, and their mixtures at different ratios, with further effective differentiation achieved through t-distributed stochastic neighbor embedding (t-SNE). The results show that LIBS technology can serve as an effective and rapid method for detecting elemental composition in food and distinguishing different food products, providing safety guarantees for food production and supervision.
本研究旨在快速原位鉴定添加了不当量鸡骨糊的淀粉香肠样品。鸡骨在建筑材料、生物质燃料以及酶解后作为食品添加剂方面发挥着重要作用,但目前尚无研究表明鸡骨可直接添加到食品中食用。特别是在淀粉香肠中,由于存在食管撕裂的潜在风险和宗教方面的顾虑,添加鸡骨糊极具争议性。本文首先利用激光诱导击穿光谱法(LIBS)研究淀粉香肠和鸡骨糊之间的元素差异。通过制备不同比例的淀粉香肠和鸡骨糊混合物,确定了钙(Ca)、钡(Ba)和锶(Sr)等元素的光谱峰强度与鸡骨糊比例之间的关系。通过采用参考谱线归一化、选择同一位置的第二个激光脉冲信号以及电子温度校正等处理方法,各元素谱线的测定系数(R)有了显著提高。具体而言,Ca I、Ca II、Ba II和Sr II的R值分别从0.302、0.694、0.857和0.691提高到了0.972、0.952、0.970和0.982。最后,利用主成分分析(PCA)区分淀粉香肠、鸡骨糊及其不同比例的混合物,并通过t分布随机邻域嵌入(t-SNE)实现了进一步的有效区分。结果表明,LIBS技术可作为一种有效、快速的方法用于检测食品中的元素组成并区分不同食品,为食品生产和监管提供安全保障。