Yue Yao
Jiangsu Normal University
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Publication
Featured researches published by Yue Yao.
PLOS ONE | 2016
Jie Cheng; Xiao-Ou Su; Yue Yao; Caiqin Han; Shi Wang; Yiping Zhao
There is an urgent need for rapid and reliable methods able to detect melamine in animal feed. In this study, a quick, simple, and sensitive method for the determination of melamine content in animal feed was developed using surface-enhanced Raman spectroscopy on fabricated Ag nanorod (AgNR) array substrates with a one-step sample extraction procedure. The AgNR array substrates washed by HNO3 solvent (10−7 M) and methanol and showed the good stability within 6 months. The Raman shift at △ν = 682 cm−1 was used as the characteristic melamine peak in the calculations. Sufficient linearity was obtained in the 2–200 μg·g−1 range (R2 = 0.926). The limits of detection and quantification were 0.9 and 2 μg·g−1, respectively. The recovery rates were 89.7–93.3%, with coefficients of variation below 2.02%. The method showed good accuracy compared with the tradition GC-MS analysis. This new protocol only need 2 min to fininsh the detection which could be developed for rapid onsite screening of melamine contamination in quality control and market surveillance applications.
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy | 2018
Yue Yao; Wen Wang; Kangzhen Tian; Whitney Ingram; Jie Cheng; Lu-Lu Qu; Haitao Li; Caiqin Han
Allura Red (AR) is a highly stable synthetic red azo dye, which is widely used in the food industry to dye food and increase its attraction to consumers. However, the excessive consumption of AR can result in adverse health effects to humans. Therefore, a highly reproducible silver nanorod (AgNR) array was developed for surface enhanced Raman scattering (SERS) detection of AR in candy. The relative standard deviation (RSD) of AgNR substrate obtained from the same batch and different batches were 5.7% and 11.0%, respectively, demonstrating the high reproducibility. Using these highly reproducible AgNR arrays as the SERS substrates, AR was detected successfully, and its characteristic peaks were assigned by the density function theory (DFT) calculation. The limit of detection (LOD) of AR was determined to be 0.05 mg/L with a wide linear range of 0.8-100 mg/L. Furthermore, the AgNR SERS arrays can detect AR directly in different candy samples within 3 min without any complicated pretreatment. These results suggest the AgNR array can be used for rapid and qualitative SERS detection of AR, holding a great promise for expanding SERS application in food safety control field.
Sensors and Actuators B-chemical | 2017
Caiqin Han; Yue Yao; Wen Wang; Lu-Lu Qu; Layne Bradley; Shulin Sun; Yiping Zhao
Mikrochimica Acta | 2017
Caiqin Han; Yuqi Li; Qin Jia; Layne Bradley; Yun Gan; Yue Yao; Lu-Lu Qu; Haitao Li; Yiping Zhao
cross strait quad regional radio science and wireless technology conference | 2018
Wenxin Zhang; Jingjng Cheng; Jingwen Li; Yue Yao; Changchun Yan; Caiqin Han
cross strait quad regional radio science and wireless technology conference | 2018
Jingwen Li; Wen Wang; Yue Yao; Changchun Yan; Caiqin Han
cross strait quad regional radio science and wireless technology conference | 2018
Qi Zou; Yue Yao; Wen Wang; Jingwen Li; Changchun Yan; Caiqin Han
Optik | 2018
Caiqin Han; Yue Yao; Shasha Lv; Ying Wu; Aixia Lu; Changchun Yan; Ying Liu; Xiaosen Luo; Xiaowu Ni
Journal of Raman Spectroscopy | 2018
Kangzhen Tian; Wen Wang; Yue Yao; Xinming Nie; Aixia Lu; Ying Wu; Caiqin Han
Chinese Journal of Chemical Physics | 2018
Caiqin Han; Yue Yao; Wen Wang; Liu-qian Tao; Wenxin Zhang; Whitney Ingram; Kangzhen Tian; Ying Liu; Aixia Lu; Ying Wu; Changchun Yan; Lu-Lu Qu; Haitao Li