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FOOD CHEMISTRY · 2020 · IF 6.306

Identification of Chinese teas by a colorimetric sensor array based on tea polyphenol induced indicator displacement assay

Mingyan Jia,Yixuan Pan,Jianbo Zhou,Mei Zhang

In this work, we developed an optical colorimetric sensor array for the discrimination of Chinese teas. The sensor array was carefully designed based on tea polyphenol induced indicators displacement assay (IDA), using phenylboronic acids with different substituents as the receptors to polyphenols. The accurate identification for polyphenols with different species or concentrations proved the potential of the sensor array. The sensor array successfully distinguished tea samples within different categories, grades and origins, coupling with PLS-DA. This work offered an efficient and rapid method to distinguish teas and tea-related products. Besides, the assay is supposed to be suitable for the identification of other polyphenol-related natural products.

研究领域: 食品科学 · 分析化学
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FOOD CHEMISTRY · 2024 · IF 8.5

Single-nanozyme single-readout enabled efficient identification of polyphenols for Chinese tea authentication and brewing evaluation

Xinyu Chen,Yangyu Wu,Yani Zeng,Jinjin Liu,Xiangheng Niu

With the popularity of health-conscious tea drinking, precise sensing of polyphenols as a main class of antioxidants in tea becomes critical for tea authentication and brewing evaluation. Sensor arrays show great potential for the goal, but currently available sensor arrays always need multiple sensing units and/or multi-dimensional signals, resulting in cumbersome sensor construction and operation as well as data processing. Developing easy-to-fabricate and easy-to-use sensor arrays for efficient discrimination is still challenging. Here we propose a new sensor array that only uses a single signal collected dynamically with oxidase-like MnOOH as a sole sensing material. The synthesized MnOOH nanowires exhibit favorable activity to catalyze the chromogenic oxidation of colorless 3,3′,5,5′-tetramethylbenzidine (TMB) to blue oxTMB. By taking gallic acid, tannic acid, L-epicatechin, (−)-epigallocatechin, (−)-epicatechin gallate and (−)-epigallocatechin gallate as models, the six tea polyphenols show discrepant inhibitory effects on the above catalytic system. As a result, these polyphenols, no matter as a single component at various concentrations or multi-component mixtures with different ratios, can be well distinguished by the single-nanozyme single-readout sensor array. Besides, different Chinese tea species, black tea varieties and impacts of brewing methods are accurately identified. Evidently, our sensor array avoids the requirement for multiple sensing units and multi-dimensional signals, greatly simplifying the fabrication of sensor arrays and their use, which provides an efficient yet facile tool for tea authentication and brewing evaluation.

研究领域: 生物化学 · 食品科学 · 分析化学
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Journal of Cleaner Production · 2024 · IF 9.7

Covalent organic framework modified magnetic MXene for high enrichment and sensitive detection of polycyclic and sulfur-containing heterocyclic aromatic hydrocarbons in Chinese tea samples

Liushan Jiang,Yue Zhang,Shiyu Huang,Jingwen Niu,Huanhuan Liu,Shuai Yuan,Qingxiang Zhou

Polycyclic aromatic hydrocarbons (PAHs) and sulfur-containing heterocyclic aromatic hydrocarbons (PASHs) are typical organic pollutants that are commonly present in the environment. Due to the continuous accumulation and transfer in the food chain, they will pose a significant threat to human life and health. In the present work, a new method was constructed with a ternary magnetic nanocomposite (Fe 0 @MXene@COF-LZU1) based magnetic solid phase extraction in combination with gas chromatography-tandem mass spectrometry (GC-MS/MS) for sensitive determination of them at trace level in Chinese tea samples. The magnetic nanomaterial Fe 0 @MXene@COF-LZU1 was synthesized via reduction and Schiff base reactions. The experimental results demonstrated that Fe 0 @MXene@COF-LZU1 had high adsorption ability and satisfactory chemical stability. Under the optimal experimental conditions, the method possessed good linearity in the concentration ranges of 0.0005 μgL −1 - 50 μg L −1 for dibenzothiophene (DBT), phenanthrene (PHE), fluoranthene (FLT) and pyrene (PYR), and 0.001 μg L −1 - 50 μg L −1 for 4-methyldibenzothiophene (4-MDBT) and 4,6-dimethyldibenzothiophene (4,6-DMDBT). The detection limits of this method were in the range of 0.014 ng L −1 -0.83 ng L −1 . The results of real samples demonstrated that the designed magnetic nanocomposite had a promising application prospect for measuring PAHs and PASHs.

CAS / MDL: 919-30-2 7789-24-4
研究领域: 环境科学 · 分析化学
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FOOD CHEMISTRY · 2020 · IF 6.306

Silver microspheres aggregation-induced Raman enhanced scattering used for rapid detection of carbendazim in Chinese tea

Jie He,Hongxia Li,Lulu Zhang,Xiao Zhi,Xin Li,Xin Wang,Zijian Feng,Guangxia Shen,Xianting Ding

Due to the excessive use of fungicides, pesticide residues have become a growing concern in recent years. Herein, we demonstrated an easy-prepared and low-cost surface enhanced Raman Scattering (SERS) chip composed of 3D silver microspheres (AgMSs) pattern for the quantitative testing of carbendazim in Chinese tea. Compared with the common monolayer SERS substrate, the 3D patterns formed by self-assembly AgMSs with fine nanostructure can offer much more aggregation-induced hotspots and generate strong 3D synergetic effects. Furthermore, when the thickness of the 3D pattern exceeded 6 μm, we replaced the conductive supporting coatings using the glass slides to reduce the cost without any impact on SERS properties. The prepared 3D chips achieved the determination of carbendazim within the linear range of 0.1–10 mg/L and the detection limit of 0.01 mg/L. It is simple and sensitive enough for the detection of most pesticide residues or other harmful organic molecules in our food or environment.

研究领域: 分析化学 · 食品安全 · 材料科学
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JOURNAL OF CHROMATOGRAPHY A · 2020 · IF 4.049

Comparison of three second-order multivariate calibration methods for the rapid identification and quantitative analysis of tea polyphenols in Chinese teas using high-performance liquid chromatography

Xiao-Hua Zhang,Qian Zhou,Zhi Liu,Xiang-Dong Qing,Jing-Jing Zheng,Shu-Ting Mu,Pan-Hua Liu

Retention time shifts in second-order calibration-assisted chromatographic analysis seriously impact the modeling and quantitative accuracies in complex systems. In this work, three second-order methods, i.e. alternating trilinear decomposition (ATLD) algorithm, multivariate curve resolution-alternating least squares (MCR-ALS), alternating trilinear decomposition-assisted multivariate curve resolution (ATLD-MCR), were compared their performance to process liquid chromatographic data in the presence of retention time shifts and overlapped peaks. Firstly, the validation samples contain five tea polyphenols at three concentrate levels within the calibration ranges, helped to understand, visualize and interpret these features of three second-order multivariate methods. Secondly, experimental data were studied concerning the determination of polyphenols in Chinese tea samples by HPLC-DAD. The results showed that all three second-order multivariate methods realized satisfactory quantification for five targeted analytes in Pu-Er ripe tea samples and Green tea samples even with the interference of slight retention time shifts, average recoveries were 91.23% –113.16% for ATLD, 89.96%–115.96% for ATLD-MCR, 90.64%–117.60% for MCR-ALS, respectively. However, ATLD was disappointing in the case of larger time shifts (approx. 4.00 s and 6.40 s) occurring for the quantitative analysis of Black tea and Clinacanthus nutans tea, the average recoveries were just 67.33–84.05%. Relatively, MCR-ALS and ATLD-MCR were more significantly excellent, satisfactory results still can be obtained, the average recoveries for MCR-ALS and ATLD-MCR were in the range of 86.04–117.60% and 89.96–115.96%, respectively.

研究领域: 分析化学 · 色谱学 · 食品科学 · 植物化学
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