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ANALYTICAL CHEMISTRY · 2018 · IF 6.042

Mercury Speciation with Fluorescent Gold Nanocluster as a Probe

Jian-Yu Yang,Ting Yang,Xiao-Yan Wang,Ming-Li Chen,Yong-Liang Yu,Jian-Hua Wang

Fluorescent nanoparticles are widely used for sensing biologically significant species. However, there are only rare reports of the discrimination or speciation of metal species. In this work, we report for the first time the speciation of mercury (Hg2+) and methylmercury (CH3Hg+) by taking advantage of the fluorescence feature of folic-acid-capped gold nanoclusters (FA-AuNCs). FA-Au NCs exhibit an average size of 2.08 ± 0.15 nm and a maximum emission at λex/λem = 280/440 nm with a quantum yield of 27.3%. It is interesting that Hg2+ causes a significant quench of the fluorescence of FA-Au NCs, whereas CH3Hg+ leads to a remarkable fluorescence enhancement. On the basis of this discriminative fluorescent response between Hg2+ and CH3Hg+, a novel nanosensor for the speciation of CH3Hg+ and Hg2+ was developed, providing limits of detection (LODs) of 28 nM for Hg2+ and 25 nM for CH3Hg+ within 100–1000 nM. This sensing system is highly selective to mercury. Its practical applications were further demonstrated by the analysis of CH3Hg+ and the speciation of mercury (CH3Hg+ and Hg2+) in environmental water and fish samples.

研究领域: 环境科学 · 分析化学
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Analytical Methods · 2022 ·Vol. 14 ·期 23 ·2318-2328 · IF 3.532

A dual-channel “on–off–on” fluorescent probe for the detection and discrimination of Fe3+ and Hg2+ in piggery feed and swine wastewater

Qing Fan,Guang-Ming Bao,Si-Han Li,Si-Yi Liu,Xin-Ru Cai,Yi-Fan Xia,Wei Li,Xiao-Ying Wang,Ke Deng,Hou-Qun Yuan

Blue-fluorescent blood-CDs were synthesized through a one-pot hydrothermal method using a mixture of chicken blood and trisodium citrate and then explored as a fluorescent probe for detecting Fe3+ and Hg2+. The probe showed excellent selectivity and sensitivity towards Fe3+ and Hg2+ with a dramatic “on–off” fluorescence response. F− recovered the fluorescence quenching by Fe3+, and Al3+ recovered the fluorescence quenching by Hg2+, showing an “off–on” fluorescence response. The blood-CDs were used as an “on–off–on” dual-channel fluorescent sensor for the detection and discrimination of Fe3+ and Hg2+ ions. The probe showed wide linear ranges for determination of Fe3+ (0–100 μM) and Hg2+ (0–120 μM) with low detection limits of 0.23 μM for Fe3+ and 0.17 μM for Hg2+. This probe was practically applied for the determination of Fe3+ and Hg2+ in piggery feed and wastewater with good recoveries. This work provides a fluorescent probe for the quantification of Fe3+ and Hg2+ in livestock feed and environmental water samples.

研究领域: 分析化学 · 环境科学 · 生物医学
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SENSORS · 2020 ·Vol. 20 ·期 4 ·1065 · IF 3.275

Collaborative Analysis on the Marked Ages of Rice Wines by Electronic Tongue and Nose based on Different Feature Data Sets

Huihui Zhang,Wenqing Shao,Shanshan Qiu,Jun Wang,Zhenbo Wei

Aroma and taste are the most important attributes of alcoholic beverages. In the study, the self-developed electronic tongue (e-tongue) and electronic nose (e-nose) were used for evaluating the marked ages of rice wines. Six types of feature data sets (e-tongue data set, e-nose data set, direct-fusion data set, weighted-fusion data set, optimized direct-fusion data set, and optimized weighted-fusion data set) were used for identifying rice wines with different wine ages. Pearson coefficient analysis and variance inflation factor (VIF) analysis were used to optimize the fusion matrixes by removing the multicollinear information. Two types of discrimination methods (principal component analysis (PCA) and locality preserving projections (LPP)) were used for classifying rice wines, and LPP performed better than PCA in the discrimination work. The best result was obtained by LPP based on the weighted-fusion data set, and all the samples could be classified clearly in the LPP plot. Therefore, the weighted-fusion data were used as independent variables of partial least squares regression, extreme learning machine, and support vector machines (LIBSVM) for evaluating wine ages, respectively. All the methods performed well with good prediction results, and LIBSVM presented the best correlation coefficient (R2≥ 0.9998).Keywords:e-tongue;e-nose;rice wine;modified electrodes;smartphone

研究领域: 食品科学 · 分析化学
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JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY · 2023 · IF 6.1

Combining Untargeted Lipidomics Analysis and Chemometrics to Identify the Edible and Poisonous Mushrooms (Pleurotus cornucopiae vs Omphalotus japonicus)

Jiaxu Yao,Li Zhou,Yueqi Hu,Minjie Zhao,Yue Ma,Jikai Liu,Eric Marchioni

The global phenomenon of eating poisonous mushrooms by mistake occurs every year. Untargeted lipidomics analysis combined with chemometrics was used to identify mushroom varieties. Two kinds of mushrooms with similar appearance, namely, Pleurotus cornucopiae (P. cornucopiae) and Omphalotus japonicus (O. japonicus) were selected as models, where O. japonicus was a poisonous mushroom and P. cornucopiae was an edible mushroom. First, the lipid extraction efficiency of eight solvents was compared. The methyl tert-butyl ether/methanol (2:1, v/v) had higher lipid extraction efficiency of extracting mushroom lipids than other solvents, in terms of the lipid coverage, response intensity, and solvent safety. Afterward, the comprehensive lipidomics analysis of the two mushrooms was conducted. A total of 21 lipid classes and 267 molecular species were identified in O. japonicus, whereas 22 lipid classes and 266 molecular species in P. cornucopiae. The principal component analysis demonstrated that 37 characteristic metabolites, including TAG 18:1_18:2_18:0;1O, TAG 18:1_18:1_18:2, TAG 16:2_18:2_18:2, etc., could be used to distinguish the two mushrooms. These differential lipids were able to identify P. cornucopiae blended with 5% (w/w) O. japonicus. This study explored a novel method for identifying poisonous mushrooms from edible mushrooms and provided a reference for food safety of consumers.

CAS / MDL: 631-61-8
研究领域: 食品安全 · 分析化学 · 毒理学
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FOOD CHEMISTRY · 2023 · IF 8.8

A three-modal fluorescent sensor harnessing diverse luminescent mechanisms for the purpose of segmented Baijiu identification

Lin Chen,Zhenyu Mao,Yi Ma,Huibo Luo,Suyi Zhang,Danqun Huo,Changjun Hou

The classification and verification of segmented Baijiu hold significant importance as they profoundly influence the blending and overall quality of the Baijiu. Our scholarly investigation yielded a fluorescent sensor with three luminescent modes by integrating Tb 3+ and RHB into UiO-66. The interplay between carboxyl-containing compounds and RHB/Tb@TLU-2 orchestrates a harmonious molecular association, where the convergence of carboxyl groups with Tb 3+ yields a resonating impact on the antenna effect of BDC-SO 3 - . Furthermore, the acidity and alkalinity of reactants induced a charge transfer interaction between BDC-NH 2 and Zr 4+ and led to structural changes in RHB/Tb@TLU-2, resulting in observable fluorescence signal variations across the three emission centers. The sensor array successfully identified eight organic acids, achieving an impressive 97.5 % accuracy in discerning segmented Baijiu samples from four Baijiu pits. This meticulous methodology prioritizes simplicity, swiftness, and effectiveness, paving the path for comprehensive segmented Baijiu analysis in the esteemed realm of Brewing production.

研究领域: 化学 · 食品科学 · 分析化学
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CHEMICAL ENGINEERING JOURNAL · 2020 · IF 10.652

Tri-channel photon emission of lanthanides in lithium-sublattice core-shell nanostructures for multiple anti-counterfeiting

Songbin Liu,Long Yan,Qiqing Li,Jinshu Huang,Lili Tao,Bo Zhou

Lithium-sublattice nanoparticles have recently shown to be a promising nano-sized host candidate for photon upconversion of lanthanides. However, it remains a challenge for the controllable synthesis of high-quality lithium-sublattice core-shell nanostructures due to its tetragonal crystal structure in contrast to the commonly investigated hexagonal (or cubic) sodium-sublattice counterparts. Herein, we present a novel synthetic strategy of using the pre-synthesized optically-active (sensitive or emissive) seeds to guide the epitaxial growth of LiGdF 4 -based core-shell nanostructures. By further constructing the Gd 3+ -mediated interfacial energy transfer in such nanoparticles , both upconverting and down-shifting emissions from a set of lanthanide ions including Eu 3+ , Tb 3+ , Dy 3+ , Sm 3+ and Nd 3+ were realized. Such core-shell nanoparticles also show good spectral Stark-splitting feature owing to their lower local structural symmetry compared to other nano-sized hosts. Moreover, the tri-channel emission from a single nanoparticle was achieved by integrating upconverting and down-shifting emissions under the dual wavelength excitations (980/254 nm), exhibiting a great promise in the multiple anti-counterfeiting identification. These results open a door to the research on new kinds of efficient luminescent nanomaterials, and further help the design of multi-functional nanostructures towards emerging cutting-edge applications.

研究领域: 材料科学 · 光学 · 纳米技术
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MOLECULES · 2022 ·Vol. 27 ·期 9 ·2982 · IF 4.927

Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS)

Chao Ji,Jinyu Liu,Qin Zhang,Juan Li,Zhiqiang Wu,Xingyu Wang,Yuxin Xie,Jiangchao Zhao,Rui Shi,Xing Ma,Mohammad Rizwan Khan,Rosa Busquets,Xiahong He,Youyong Zhu,Shusheng Zhu,Wenjie Zheng

Panax notoginsengis an important functional health product, and has been used worldwide because of a wide range of pharmacological activities, of which the taproot is the main edible or medicinal part. However, the technologies for origin discrimination still need to be further studied. In this study, an ICP-MS/MS method for the accurate determination of 49 elements was established, whereby the instrumental detection limits (LODs) were between 0.0003 and 7.716 mg/kg, whereas the quantification limits (LOQs) were between 0.0011 and 25.7202 mg/kg, recovery of the method was in the range of 85.82% to 104.98%, and the relative standard deviations (RSDs) were lower than 10%. Based on the content of multi-element inP. notoginseng(total of 89 mixed samples), the discriminant models of origins and cultivation models were accurately determined by the neural networks (prediction accuracy was 0.9259 and area under ROC curve was 0.9750) and the support vector machine algorithm (both 1.0000), respectively. The discriminant models established in this study could be used to support transparency and traceability of supply chains ofP. notoginsengand thus avoid the fraud of geographic identification.Keywords:Panax notoginseng;ICP-MS/MS;multi-element;origin discrimination;cultivation model discrimination

CAS / MDL: 7664-39-3
研究领域: 植物学 · 药学 · 分析化学
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FOOD CHEMISTRY · 2023 · IF 8.8

A colorimetric sensor array based on peroxidase activity nanozyme for the highly efficient differential sensing of tea polyphenols and Tieguanyin adulteration

Xiaoyu Yang,Zhichun Bi,Chenghui Yin,Shuyi Zhang,Donghui Song,Hui Huang,Yongxin Li

Tieguanyin (TGY) is one of top ten famous teas in China, but in the process of brand building there is the phenomenon of falsehood, thus harming the interests of consumers. To solve the   adulterate problem of TGY, a colorimetric sensor array (CSA) based on   peroxidase activity of nanozyme was constructed. Nanozymes can catalyze 3,3′,5,5′-tetramethylbenzidine (TMB) to 3,3′,5,5′-tetramethyl -[1,1′-bis(cyclohexyl)]-2,2′,5,5′-tetraene-4,4′-diimine (oxTMB), while the tea polyphenols (TPs) can inhibit this process, and the degree of inhibition varies significantly with the reaction time. We selected two nanozymes   and three reaction time points to construct CSA. It can successfully distinguish TPs   in TGY. The discriminative analysis   can achieve: (1)   distinction between TGY and adulterated tea, (2)   discrimination of TGY in various seasons and seasonal adulteration in different degrees. The method constructed in this work is promising for both the class and quality differentiation of TGY and other teas with TPs as the main activity.

CAS / MDL: 490-46-0
研究领域: 食品科学 · 分析化学 · 生物技术
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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 CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES · 2020 · IF 3.004

Rapid identification model based on decision tree algorithm coupling with 1H NMR and feature analysis by UHPLC-QTOFMS spectrometry for sandalwood

Youzhen Tan,Biying Chen,Cui Ren,Mingxin Guo,Juanxia Wang,Kexing Shi,Xia Wu,Yifan Feng

Sandalwood is one of the most valuable woods in the world. However, today's counterfeits are widespread, it is difficult to distinguish authenticity. In this paper, similar genus ( Dalbergia and Pterocarpus ) and confused species ( Gluta sp .) of sandalwood were quickly and efficiently identified. Rapid identification model based on 1 H NMR and decision tree (DT) algorithm was firstly developed for the identification of sandalwood, and the accuracy was improved by introducing the AdaBoost algorithm. The accuracy of the final model was above 95%. And the feature components between different species of sandalwood were further explored using UHPLC-QTOFMS and NMR spectrometry. The results showed that 183 compounds were identified, among which 99 were known components, 84 were unknown components. The 1 H NMR and 13 C NMR signals of 505 samples were assigned, among them, 14 compounds were attributed, characteristic chemical shift intervals with great differences in the model were analysed. Furthermore, the fragmentation pattern of different compounds from sandalwood, in both positive and negative ion ESI modes, was summarized. The results showed a potential and rapid tool based on DT, NMR spectroscopy and UHPLC-QTOFMS, which had performed great potential for rapid identification and feature analysis of sandalwood.

CAS / MDL: 64-18-6
研究领域: 植物学 · 分析化学 · 药用植物研究
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Analytical Methods · 2018 ·Vol. 10 ·期 47 ·5679-5686 · IF 2.073

A nanophase material and organic dye modified colorimetric sensor array for the discrimination of baijiu

Jia Zheng,Ping Yang,Jiawei Li,Pan Li,Jingzhou Hou,Danqun Huo,Changjun Hou,Suyi Zhang

In the present study, we fabricated a 3 × 3 colorimetric sensor array using nanomaterials/dyes as sensing dots to discriminate 8 commercial baijiu samples. Sensing dots can cross-respond to baijiu samples, enabling color changes of the sensor array and subsequently providing special fingerprints. Eight baijiu samples were successfully discriminated using principal component analysis (PCA), linear discriminant analysis (LDA) and hierarchical cluster analysis (HCA) without misclassification. A radial basis function neural network (RBFN) was employed to determine the fitting relationship between the predicted samples and the actual samples. From all the evidence, we draw the conclusion that this 3 × 3 NP-dye colorimetric discrimination system can perform successful distinction of baijiu. Moreover, a separation tendency of different baijiu samples was shown via alcoholic-strength (38° and 52°) without detection of alcoholic-strength. This effort may benefit quality control of baijiu in the market and in mass-production in the factory.

研究领域: 分析化学 · 食品科学 · 材料科学
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