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ANALYTICAL AND BIOANALYTICAL CHEMISTRY · 2019 ·Vol. 411 ·期 27 ·7187-7196 · IF 3.286

Detection of systemic pesticide residues in tea products at trace level based on SERS and verified by GC–MS

Zhang De,Liang Pei,Ye Jiaming,Xia Jing,Zhou Yongfeng,Huang Jie,Ni Dejiang,Tang Lisha,Jin Shangzhong,Yu Zhi

Surface-enhanced Raman spectroscopy (SERS) has the potential to detect pesticide residues in agricultural products. However, some systemic pesticides, such as chlorpyrifos, can enter the plant tissue, and not just stay on the surface. Consequently, many SERS studies halted at practical application because of its complexity. In this work, SERS technology was used to detect chlorpyrifos residues in tea products at the semiquantitative level. A simple pretreatment method effectively avoided interference of other fluorescent substances, and all major peaks could be distinguished on the basis of a novel substrate. A principal component analysis algorithm was applied to form a regression model, and a nanogram detection limit was obtained. Furthermore, chlorpyrifos residues in the same tea products were also measured by gas chromatography–mass spectrometry, and the results show a small range of errors. From the comparative study of the two detection methods, the results suggest the great promise of SERS technology for rapid inspection of agricultural products.

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INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES · 2019 · IF 4.784

Antioxidant and antibacterial chitosan film with tea polyphenols-mediated green synthesis silver nanoparticle via a novel one-pot method

Wanli Zhang,Weibo Jiang

In the present study, the antioxidant and antibacterial chitosan/tea polyphenols-silver nanoparticles composite film (CS/TP-AgNPs) was developed via a novel one-pot method. The TP was added to the CS film not only as the reducing agent of AgNPs but also as the cross-linking agent and antioxidant. The AgNPs and nanocomposite films developed were characterized by field emission scanning electron microscopy (FE-SEM), Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TGA). Besides, the physical, mechanical, antioxidant and antibacterial properties of the nanocomposite films were also analyzed. As the content of TP-AgNPs incorporation increased, the color of CS/TP-AgNPs nanocomposite film gradually shifted to brown, accompanied by an increase in opacity and thickness. The decrease in moisture contents and water vapor permeability of CS/TP-AgNPs nanocomposite film indicated that the TP-AgNPs varied the original bond between the CS-CS and CS-water. The denser cross-section of CS/TP-AgNPs nanocomposite film confirmed the enhanced mechanical properties. It is worth noting that CS/TP-AgNPs nanocomposite film exhibited more excellent antioxidant and antibacterial activity than CS film. This study developed the multi-functionality chitosan film by the simultaneous incorporation of AgNPs and TP and revealed the multiple effects of TP acting as reducing agent for AgNPs, cross-linking agent and antioxidant on chitosan film.

CAS / MDL: 7761-88-8
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INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY · 2026 · IF 5.7

Microbial transformation of Apocynum venetum L. tea by Eurotium cristatum during solid-state fermentation: Insights from multi-omics analysis

Xiaoyu Yang,Jiawei Zhang,Jinyu Yang,Junhua Wang,XiaoXiao Jiang,Jianzhi Zhao,Xiangyan Chen,Leilei Chen,Qingxin Zhou

E. cristatum drives metabolic transformation during solid-state fermentation. • Multi-omics reveals microbial mechanisms underlying AVL fermentation. • Metaproteomics identified enzymes involved in plant substrate transformation. • Fermentation reshaped non-volatile metabolites and aroma profiles of AVL. • Protein–metabolite associations reveal functional modules in fungal fermentation. Fermentation by food microorganism provides an effective approach for transforming plant-based substrates, yet the microbial mechanisms underlying these biochemical processes remain insufficiently understood. In this study, Eurotium cristatum -mediated solid-state fermentation of Apocynum venetum L. tea (AVL) was investigated at 2, 4 and 6 days using an integrated multi-omics approach and sensory-related analyses. Fermentation decreased bitterness and astringency of AVL infusions, accompanied by reductions in total polyphenols and flavonoids. Untargeted metabolomics identified 41 core differential non-volatile metabolites, predominantly fatty acyls, glycerophospholipids, steroids, phenolics, and terpenoids. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment highlighted phenylpropanoid-, flavonoid-, and isoflavonoid-related pathways. Volatile profiling identified 16 aroma-active compounds. Changes in aldehydes, ketones, alcohols, and esters contributed to fermentation-associated aroma characteristics. Metaproteomic analysis identified 4614 E. cristatum proteins, including 1838 differential proteins enriched in functional categories related to catalytic activity, oxidoreductase activity, glycosyl bond hydrolase activity, carbohydrate metabolism, and secondary metabolism. Integrated multi-omics analysis showed that non-volatile metabolite remodeling was associated with multiple microbial functional modules related to carbon metabolism, redox reactions, and secondary metabolism while fatty acid and amino acid metabolism were associated with the formation of characteristic aroma-active compounds. Overall, E. cristatum -mediated fermentation of AVL represents a growth-coupled, enzyme-associated biotransformation process in which coordinated microbial metabolic activities contribute to metabolites remodeling and the development of characteristic taste and aroma properties. These findings provide a mechanistic basis for understanding E. cristatum -mediated transformation of plant substrates and offer insights into the formation of characteristic quality attributes during fermented tea production.

CAS / MDL: 108-95-2
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Biomaterials Advances · 2023 · IF 0

An antibacterial and anti-oxidant hydrogel containing hyperbranched poly-l-lysine and tea polyphenols accelerates healing of infected wound

Jie Wang,Yiming Sun,Xiaoqing Liu,Yongyuan Kang,Wangbei Cao,Juan Ye,Changyou Gao

Both bacteria-infection and excessive inflammation delay the wound healing process and even create non-healing wound, thus it is highly desirable to endow the wound dressing with bactericidal and anti-oxidation properties. Herein an antibacterial and antioxidation hydrogel based on Carbomer 940 (CBM) and hydroxypropyl methyl cellulose (HPMC) loaded with tea polyphenols (TP) and hyperbranched poly- l -lysine (HBPL) was designed and fabricated. The hydrogel killed 99.9 % of methicillin-resistant Staphylococcus aureus ( MRSA ) and Escherichia coli ( E. coli ) at 10 7  CFU mL −1 , and showed strong antioxidation against H 2 O 2 and 2,2-di(4- tert -octylphenyl)-1-picryl-hydrazyl (DPPH) radicals without noticeable cytotoxicity in vitro . The CBM/HPMC/HBPL/TP hydrogel significantly shortened the inflammatory period of the MRSA-infected full-thickness skin wound of rats in vivo , with 2 orders of lower MRSA colonies compared with the blank control, and promoted the wound closure especially at the earlier stage. The inflammation was suppressed and the vascularization was promoted significantly as well, resulting in reduced pro-inflammatory factors including interleukin-6 (IL-6), interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α), and increased anti-inflammatory factors such as interleukin-4 (IL-4) and interleukin-10 (IL-10).

CAS / MDL: 1898-66-4 54827-17-7
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JOURNAL OF CHROMATOGRAPHY A · 2014 · IF 4.258

Poly(ionic liquid) immobilized magnetic nanoparticles as new adsorbent for extraction and enrichment of organophosphorus pesticides from tea drinks

Xiaoyan Zheng,Lijun He,Yajing Duan,Xiuming Jiang,Guoqiang Xiang,Wenjie Zhao,Shusheng Zhang

New poly(ionic liquid) immobilized magnetic nanoparticles (PIL-MNPs) were synthesized via co-polymerization of 1-vinyl-3-hexylimidazolium-based ionic liquid and vinyl-modified magnetic particles and were characterized by Fourier transform infrared spectroscopy, X-ray diffraction, transmission electron microscopy, and magnetic measurements. The PIL-MNPs were utilized as adsorbent phases in magnetic solid-phase extraction (MSPE). The extraction and enrichment efficiency were evaluated by using four organophosphorus pesticides (parathion, fenthion, phoxim and temephos) as test analytes. Various parameters, such as amount of adsorbent, adsorption time, desorption solvent and time, and ionic strength were investigated. The proposed method showed good linearity for the analytes in the concentration range of 1–200   μg   L −1 with a correlation coefficient ( R )   >   0.9963. Low limit of detection of 0.01   μg   L −1 and high enrichment factors ranging from 84 to 161 were achieved. The proposed method has been successfully used to determine organophosphorus pesticides from three tea drink samples with satisfactory recovery of 81.4–112.6% and RSDs of 4.5–11.3%. The PIL-MNP adsorbent can be reused for 20 times without a noticeable decrease in extraction efficiency.

CAS / MDL: 1072-63-5
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LWT-FOOD SCIENCE AND TECHNOLOGY · 2023 · IF 6

Distinguishing raw pu-erh tea production regions through a combination of HS-SPME-GC-MS and machine learning algorithms

Zhichao Xiong,Wanzhen Feng,Dongzhou Xia,Jixin Zhang,Yuming Wei,Tiehan Li,Junlan Huang,Yujie Wang,Jingming Ning

The authenticity of the geographical origin of agricultural products has received widespread attention. Tea tree varieties, processing processes and origins influence the quality and price of raw pu-erh tea (RPT). This study distinguished RPT from 10 different production areas through headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) combined with orthogonal partial least squares–discriminant analysis (OPLS-DA) model and machine learning algorithms. Among the thirty-five types of common volatiles identified, pentanal, heptanal, naphthalene, cedrol, and 2,6-di- tert -butylbenzoquinone were considered the key differential compounds distinguishing the 10 different production areas of the RPT samples through the screening of variable importance in projection values of the OPLS-DA and coefficient weights of the linear discriminant analysis function. Among them, heptanal and 2,6-di- tert -butylbenzoquinone had the highest content in West of Bingdao and the lowest content in Nannuoshan. The random forest algorithm achieved a discrimination accuracy of 98.4% based on the discrimination of five key compounds in 63 RPT samples. The random forest model was demonstrated to be reliable and valid by using receiver operating characteristic curves (area under the curve = 0.7603). The study results serve as a reference for the differentiation of 10 production areas of RPT.

CAS / MDL: 110-38-3
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SENSORS AND ACTUATORS B-CHEMICAL · 2023 · IF 8.4

Electrochemiluminescent silica nanoparticles encapsulating structure-optimized iridium complex to sensitively detect acetamiprid residues in tea based on aptamer sensor

Ziwang Mao,Yibo Zhao,Jianhua Dong,Liangzhi Li,Yuyang Zhou

To explore novel and efficient ECL luminophores, a series of cationic iridium(III) complexes with 4,7-diphenyl-1,10-phenanthroline as the ancillary ligand and various main ligands were investigated in this work. The comprehensive studies demonstrate complex 1, with 2-phenylbenzothiazole (bt) as main ligand, exhibited superior ECL properties in aqueous buffer compared to other complexes. Importantly, the structurally optimized complex 1 was successfully further encapsulated into silica nanoparticles to prepare electrochemiluminescent iridium(III)-doped silica nanoparticles (Ir@SiO 2 NPs). These Ir@SiO 2 NPs were then utilized to construct a sensitive and specific ECL aptamer sensor for detecting acetamiprid residues in tea. Notably, our developed sensor demonstrated wide linear ranges from 10 pM to 10 μM and low limit of detection of 1.3 pM. These experimental results presented in this work undoubtedly demonstrate iridium(III)-doped silica nanoparticles as a new and efficient type of ECL nano-emitter have great potentials in ECL-related analytical applications in the future.

CAS / MDL: 110-82-7 111-27-3
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Foods · 2023 ·Vol. 12 ·期 16 ·2987 · IF 5.2

Dynamic Formation of Green Tea Cream and the Identification of Key Components Using the “Knock-Out/Knock-In” Method

Cheng Guo,Wangyang Shen,Weiping Jin,Xiwu Jia,Zhili Ji,Jinling Li,Bin Li

The composition of green tea cream is extremely complex, and identification of key components is a prerequisite for elucidating its microstructure formation mechanism. This study examined the dynamic changes in the content of components and properties of colloid particles during the formation process of tea cream by chemical analysis and dynamic laser scattering (DLS). A “knock-out/knock-in” method was developed and used to further explore the relationship between the interaction of these components and the microstructure formation of tea cream. The results revealed that polysaccharides, proteins, epigallocatechin gallate (EGCG), and caffeine were the main components involved in tea cream formation. These components participated in the formation process in the form of polysaccharide–protein and EGCG–caffeine colloidal particles. Consequently, there were synchronized dynamic changes in the levels of polysaccharides, proteins, EGCG, and caffeine. The “knock-out/knock-in” experiment revealed that the interactions between EGCG or caffeine and macro-molecule components were not the key factors in tea cream microstructure formation. However, it was found that the complexation between EGCG and caffeine played a crucial role in the formation of tea cream. The findings suggested that decreasing the concentrations of EGCG and caffeine could be useful in controlling tea cream formation during tea beverage processing and storage.Keywords:green tea cream;dynamic formation process;key components;colloid particles;“knock-out/knock-in” method

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LWT-FOOD SCIENCE AND TECHNOLOGY · 2023 · IF 6

Effects of calcium ions on the particle performance of luteolin-loaded zein-gum arabic-tea polyphenols ternary complex nanoparticles

Renjie Li,Jin Chen,Huihui Li,Zhuangwei Zhang,Hongjin Tang

Zein-gum arabic-tea polyphenols ternary complex nanoparticles have been developed for the encapsulation of luteolin, but there are still shortages existed in their particle properties such as encapsulation efficiency, stability, and release ability of luteolin. To improve their performance, calcium ions (Ca 2+ ) were employed as a cross-linking stabilizer to investigate their effects on particle properties and functional performance. Particle parameters, physicochemical stability, antioxidant activity, and in vitro simulated gastrointestinal digestion were evaluated based on zetasizer measurement and multi-spectral methods, which were analyzed using Graphpad Prism v6.0.2. As a result, low concentrations of Ca 2+ induced the formation of smaller and more compact nanoparticles with improved luteolin encapsulation efficiency, while higher concentrations had the opposite effect. Hydrophobic, electrostatic, and hydrogen bonding interactions were found to be responsible for nanoparticle assembly and stability with Ca 2+ incorporation. Appropriate amounts of Ca 2+ promoted the physicochemical stability of the nanoparticles under different conditions such as pH, salt ion concentration, temperature, and storage time. Additionally, low levels of Ca 2+ strengthened the antioxidant activity of the nanoparticles and improved sustained release of luteolin under in vitro gastrointestinal conditions. These findings suggest that zein-gum arabic-tea polyphenols nanoparticles assembled with Ca 2+ have potential applications as a delivery system for bioactive substances.

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FOOD CHEMISTRY · 2023 · IF 8.8

Au-Ag OHCs-based SERS sensor coupled with deep learning CNN algorithm to quantify thiram and pymetrozine in tea

Huanhuan Li,Xiaofeng Luo,Suleiman A. Haruna,Muhammad Zareef,Quansheng Chen,Zhen Ding,Yiyong Yan

Pesticide residue detection in food has become increasingly important. Herein, surface-enhanced Raman scattering (SERS) coupled with an intelligent algorithm was developed for the rapid and sensitive detection of pesticide residues in tea. By employing octahedral Cu 2 O templates, Au-Ag octahedral hollow cages (Au-Ag OHCs) were developed, which improved the surface plasma effect via rough edges and hollow inner structure, amplifying the Raman signals of pesticide molecules. Afterward, convolutional neural network (CNN), partial least squares (PLS), and extreme learning machine (ELM) algorithms were applied for the quantitative prediction of thiram and pymetrozine. CNN algorithms performed optimally for thiram and pymetrozine, with correlation values of 0.995 and 0.977 and detection limits (LOD) of 0.286 and 29 ppb, respectively. Accordingly, no significant difference ( P  greater than 0.05) was observed between the developed approach and HPLC in detecting tea samples. Hence, the proposed Au-Ag OHCs-based SERS technique could be utilized for quantifying thiram and pymetrozine in tea.

CAS / MDL: 50-81-7
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FOOD CONTROL · 2023 · IF 6

Metabolomics and electronic tongue reveal the effects of different storage years on metabolites and taste quality of Oolong Tea

Lingli Sun,Suwan Zhang,Qiuhua Li,Erdong Yuan,Ruohong Chen,Feiteng Yan,Xingfei Lai,Zhenbiao Zhang,Zhongzheng Chen,Qian Li,Shili Sun

Oolong tea have better richness, sweetness and throat after a certain time of storage. These variations in taste and quality are closely related to changes in the composition of oolong tea during storage, however, the metabolic profiles of oolong tea during storage have not been reported so far. Therefore, we evaluated the differences in taste quality of oolong tea in four storage years (1991, 2001, 2011 and 2021) by using electronic tongue technology, and the results showed that the bitterness, astringency and richness of oolong tea are significantly reduced during storage, but the acidity have the opposite trend, while the sweetness did not trend, with the least sweetness in 2011 and no difference in sweetness in the rest of the years. We further explored the metabolites contributing to the differences in taste quality of Dancong tea in four storage years (1991, 2001, 2011 and 2021) using metabolomics technique and the results showed that a total of 1245 metabolites were detected, of which nine were taste characteristic components of Aged Dancong tea. Dancong tea mainly increased azelaic acid, suberic acid, 2-hydroxyphenylacetic acid and other sour characteristic components in aged tea by regulating phenylalanine metabolism, metabolic pathways, and pyrimidine metabolism and mainly decreased benzamide, propyl 4-hydroxybenzoate, pyrrole-2-carboxylic acid and other bitterness and astringency characteristic components by regulating arginine and proline metabolism, flavonoid biosynthesis, biosynthesis of secondary metabolites, which enhanced the sour and umami of aged tea and reduced its bitterness and astringency. This study provides theoretical support for the quality of aged oolong tea, with a view to providing guidance for the storage of oolong tea.

CAS / MDL: 64-18-6
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FOOD CHEMISTRY · 2023 · IF 8.8

Detection of volatile organic compounds in adulterated tea using Fourier transform infrared spectroscopy and Proton-transfer-reaction mass spectrometry

Chongshan Yang,Dandan Duan,Chunwang Dong,Chuanxia Li,Guanglin Li,Yunhai Zhou,Yifan Gu,Yachao Liu,Chunjiang Zhao,Daming Dong

Aroma is a key factor used to evaluate tea quality. Illegal traders usually add essence to expired or substandard tea to improve its aroma so as to gain more profit. Traditional physical and chemical testing methods are time-consuming and costly. Furthermore, rapid detection techniques, such as near-infrared spectroscopy and machine vision, can only be used to detect adulterated powdered solid essences in tea. In this study, proton-transfer reaction mass spectrometry (PTR-MS) and Fourier-transform infrared spectroscopy (FTIR) were employed to detect volatile organic compounds (VOCs) in samples, and rapid detection of different tea adulterated liquid essence was achieved. The prediction accuracies of PTR-MS and FTIR reached over 0.941 and 0.957, respectively, and the minimum detection limits were lower than the actual used values in both. In this study, the different application scenarios of the two technologies are discussed based on their performance characteristics.

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