重复性
拉曼散射
嘌呤
化学
生物系统
可靠性(半导体)
色谱法
拉曼光谱
工艺工程
材料科学
物理
生物化学
光学
生物
酶
功率(物理)
量子力学
工程类
作者
Xingang Xie,Jin Jiang,Jiali Ma,Chenjie Gu,Tao Jiang,Jinjie Zhang
标识
DOI:10.1016/j.foodchem.2023.136011
摘要
Typically, for accurate quantitative tests of molecules, considering the actual solute concentration in the environment with different water activities (Aws) is essential. Accordingly, for effective detection of food substances, this paper proposes a non-destructive pluggable sensor to capture and monitor four free purines based on surface-enhanced Raman scattering characteristics such as sensitivity, uniformity, repeatability, and stability. In particular, we investigate the impact of Aw on the evaluation of purine detection and its deviation corrections. Furthermore, the recoveries of purine from three food products, including fish (Aw: 0.99), ham (Aw: 0.91), and bacon (Aw: 0.73), are subsequently explored to validate the reliability of the proposed method. The results indicate that the proposed non-destructive pluggable sensor performs better when the Aw is considered. Therefore, this strategy for achieving more reliable quantitative detection by rectifying deviations based on the Aw can significantly help monitor food quality.
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