Xie Jun, Pan Qiannan, Li Feili, Tang Yuyi, Hou Shiwei, Xu Changhua
College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, PR China; Shanghai Qinpu Biotechnology Pte Ltd, Shanghai, 201306, China.
College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, PR China.
Talanta. 2021 Jan 15;222:121325. doi: 10.1016/j.talanta.2020.121325. Epub 2020 Aug 19.
Simultaneously rapid detection of trace adulterants in the complex systems of food without extraction is considered highly challenging. Herein, a high-throughput and rapid methodology, multi-molecular infrared (MM-IR) spectroscopy was developed for simultaneous detection of multiple trace adulterants in food. Flour was applied to demonstrate the capabilities of MM-IR with spatial resolution, spectral qualitative and quantitative analysis. Signals of 5 trace adulterants (rongalit, potassium bromate, borax, aluminum potassium sulfate and fluorescent brighter) were spatially revealed by IR hyperspectral imaging with group-peak matching, and further unveiled spectrally with second derivative two dimensional correlation infrared (SD-2DCOS IR) spectroscopy for higher resolution. Moreover, quantitative analysis of trace adulterants was conducted with partial least squares (PLS) modeling in ppm level. Composed of the above techniques and a series of resolution enhancement techniques (MW-2DCOS IR, 2T-2DCOS IR, etc.), MM-IR presented significant advantages on simultaneous detection of trace adulterants in food and therefore possessed the potential for food comprehensive analysis.
