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ANALYTICA CHIMICA ACTA · 2025 · IF 6

A dummy template molecularly imprinted polymer-coated fiber array extraction for simultaneous HPLC analysis of eight biogenic amines in fermented horse milk

Adila Muhtar,Pengli Jian,Turghun Muhammad,Jia Zhao,Almire Dolkun,Tiantian Zhou,Sergey A. Piletsky

Background Biogenic amines (BAs) are low molecular weight nitrogenous compounds present in various foods. While physiologically essential in trace amounts, elevated concentrations of BAs pose health risks, including serving as precursors to carcinogens. In fermented foods such as kumiss—a traditional fermented horse milk—the quantitative assessment of BAs is critical due to their health implications. However, the wide range of log P and p Ka values among BAs presents significant challenges for their simultaneous extraction and accurate analysis. Result This study introduces a novel approach for the simultaneous extraction of eight BAs in kumiss using dummy molecularly imprinted polymer (DMIP) coated fibers. The DMIP was synthesized using diethylamine dansyl chloride as a derivatized template, enabling selective recognition of eight BA derivatives. The fabricated coated fibers, which are reusable and cost-effective, were integrated into an array device for high-throughput solid-phase microextraction (SPME), achieving an average extraction time of less than 2 min per sample. The SPME method demonstrated high recoveries (70.06–110.92 %) when coupled with high-performance liquid chromatography (HPLC) analysis. Linear calibration curves were established between the peak area and the concentration of BAs over the range of 0.2–10 mg L −1 , with high regression coefficients (>0.99) and low detection limits (0.025–0.123 mg L −1 ). The DMIP coated fiber array extraction device provided highly selective and efficient separation of BA derivatives from complex matrices, as successfully demonstrated using kumiss samples. Significance and novelty This study presents a novel dummy molecular imprinting strategy for the fabrication of DMIP coated fiber array for SPME, addressing the limitations of traditional methods in the simultaneous recognition of structurally diverse BAs. This approach significantly enhances the efficiency and selectivity of BA analysis, which is essential for the quality control of fermented foods.

CAS / MDL: 631-61-8
研究领域: 食品科学 · 分析化学
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Foods · 2023 ·Vol. 12 ·期 11 ·2223 · IF 5.2

Exploring the Characteristic Aroma Components of Traditional Fermented Koumiss of Kazakh Ethnicity in Different Regions of Xinjiang by Combining Modern Instrumental Detection Technology with Multivariate Statistical Analysis Methods for Odor Activity Value and Sensory Analysis

Yongzhen Gou,Xinmiao Ma,Xiyue Niu,Xiaopu Ren,Geminguli Muhatai,Qian Xu

To investigate the characteristic aromatic compounds, present in the traditional fermented koumiss of the Kazakh ethnic group in different regions of Xinjiang, GC-IMS, and GC-MS were used to analyze the volatile compounds in koumiss from four regions. A total of 87 volatile substances were detected, and esters, acids, and alcohols were found to be the main aroma compounds in koumiss. While the types of aroma compounds in koumiss were similar across different regions, the differences in their concentrations were significant and displayed clear regional characteristics. The fingerprint spectrum of GC-IMS, combined with PLS-DA analysis, indicates that eight distinctive volatile compounds, including ethyl butyrate, can be utilized to distinguish between different origins. Additionally, we analyzed the OVA value and sensory quantification of koumiss in different regions. We found that aroma components such as ethyl caprylate and ethyl caprate, which exhibit buttery and milky characteristics, were prominent in the YL and TC regions. In contrast, aroma components such as phenylethanol, which feature a floral fragrance, were more prominent in the ALTe region. The aroma profiles of koumiss from the four regions were defined. These studies provide theoretical guidance for the industrial production of Kazakh koumiss products.Keywords:koumiss;GC-IMS;GC-MS;PLS-DA;OVA;volatile components;QDA;origin discrimination;aroma-presenting substances

CAS / MDL: 589-98-0
研究领域: 食品科学 · 分析化学
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