文献类型: 外文期刊
作者: Zhang, Jianpeng 1 ; Wang, Miao 2 ; She, Yongxin 2 ; Jin, Fen 2 ; Jin, Maojun 2 ; Wang, Jing 2 ; Zhang, Guohua 1 ; Abd El-Aty, A. M. 4 ;
作者机构: 1.Shanxi Univ, Coll Life Sci, Taiyuan 030006, Shanxi, Peoples R China
2.Chinese Acad Agr Sci, Inst Qual Standardizat & Testing Technol Agroprod, Beijing 100081, Peoples R China
3.Minist Agr & Rural Areas, Key Lab Agrofood Safety & Qual Beijing, Beijing 100081, Peoples R China
4.Cairo Univ, Fac Vet Med, Dept Pharmacol, Giza 12211, Egypt
5.Ataturk Univ, Med Fac, Dept Med Pharmacol, TR-25240 Erzurum, Turkiye
关键词: Benzoic acid; Surface-enhanced Raman scattering; Vinegar; Molecularly imprinted polymer
期刊名称:JOURNAL OF FOOD COMPOSITION AND ANALYSIS ( 影响因子:4.6; 五年影响因子:4.6 )
ISSN: 0889-1575
年卷期: 2025 年 147 卷
页码:
收录情况: SCI
摘要: The excessive use of benzoic acid as a preservative in vinegar may pose health risks, highlighting the need for efficient monitoring methods. Conventional detection techniques are often costly, time intensive, and require complex sample preparation. Herein, a surface-enhanced Raman scattering (SERS) sensor on paper incorporating molecularly imprinted polymers (MIPs) was developed to enable rapid, sensitive, and selective detection of benzoic acid in rice vinegar. The sensor material (BA-MIPs@AgNPs) was synthesized via sodium borohydride reduction of silver nitrate, and its morphology and structural integrity were confirmed through electron microscopy and infrared spectroscopy, respectively. Comprehensive dynamic, static, selective, and anti-interference adsorption experiments were performed to assess the sensor's binding performance and reliability. Under the optimized parameters, the MIP-SERS sensor exhibited a strong linear response for benzoic acid concentrations between 500-2500 mg/L, with a detection limit of 250 mg/L. The recovery rates for spiked samples ranged from 95.17 % to 102.32 %, indicating high accuracy. Statistical comparison via an independent sample t test revealed no significant difference between the results obtained via the MIP-SERS method and those obtained via standard HPLC, confirming its reproducibility and analytical precision. This work presents a cost-effective, environmentally conscious approach for food safety monitoring and quality assurance practices.
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