Article
Chemistry, Applied
Yujie Wang, Menghui Li, Luqing Li, Jingming Ning, Zhengzhu Zhang
Summary: In this study, a micro near-infrared (NIR) spectrometer was used for the qualitative and quantitative evaluation of tea, achieving optimal discriminant and predictive performance through chemometrics analysis. This study provided a portable and low-cost method for in-situ assessing tea quality.
Article
Chemistry, Analytical
Guangxin Ren, Xusheng Zhang, Rui Wu, Lingling Yin, Wenyan Hu, Zhengzhu Zhang
Summary: The taste of tea is crucial in evaluating its quality and pricing. This study utilized miniature near-infrared (NIR) spectroscopy and electronic tongue (ET) sensors to objectively assess the taste quality of black tea. Using data fusion strategies and chemometric tools, the combination of NIR spectroscopy and ET sensor signals effectively predicted the multiple grades of black tea. The ACO-SVM model achieved the highest classification accuracy of 93.56%. These results demonstrate the feasibility of qualitatively distinguishing black tea grades and categories using NIR spectroscopy and ET techniques.
Article
Food Science & Technology
Ziyun Yan, Honggao Liu, Tao Li, Jieqing Li, Yuanzhong Wang
Summary: This study analyzed the spectra of bolete species using different data pretreatment methods, and compared the modeling results of different models. The results showed that the ResNet model is the best model for bolete species identification.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Agriculture, Multidisciplinary
Weixin Wang, Christina Ohland, Christian Jobin, Shengmin Sang
Summary: This study investigates the chemical structures and mechanisms underlying the health benefits of thearubigins, the polymers of tea catechins. The researchers found that thearubigins can be metabolized by gut microbiota into smaller molecular metabolites such as theaflavins and theasinensins, which are the building units for the complex thearubigins. These findings provide insights into the bioavailability and metabolism of thearubigins.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2022)
Article
Food Science & Technology
Xiong Gao, Xiaorong Lin, Chi-Tang Ho, Yuanyuan Zhang, Bin Li, Zhongzheng Chen
Summary: This study compared the chemical composition and anti-inflammatory activity of black cocoa tea and Yunnan Daye tea. Results showed that black cocoa tea had higher levels of gallic acid, total catechins, and total polyphenols, and exhibited stronger anti-inflammatory activity.
FOOD RESEARCH INTERNATIONAL
(2022)
Article
Agriculture, Multidisciplinary
Ting Luo, Jian-Guo Jiang
Summary: Theaflavins, a natural tea pigment in black tea, have significant anti-cancer properties and potential health benefits. Studies have shown that theaflavins could be developed into new health-care foods based on their antioxidant and anticancer activities, making them a promising resource for cancer prevention and treatment.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2021)
Article
Agriculture, Multidisciplinary
Dan Chen, Yanni Zhao, Jiakun Peng, Yue Zhang, Jianjian Gao, Wenliang Wu, Dongchao Xie, Zhengyan Hu, Zhi Lin, Weidong Dai
Summary: This study investigated the dynamic changes in compounds in black teas stored for a period of time, revealing that some compounds decrease while others increase during storage. Additionally, new compounds called N-ethyl-2-pyrrolidinone-substituted TFs were discovered for the first time in tea during the study.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2021)
Article
Food Science & Technology
Mingchun Wen, Yuqing Cui, Cai-Xia Dong, Liang Zhang
Summary: Monosaccharides in Keemun black tea were quantitatively determined using PMP pre-column derivatization and HPLC method, with D-glucose identified as the predominant monosaccharide. The concentration of D-glucose continuously increased during tea processing, while the concentration of theaflavins decreased significantly. Additionally, the study identified some theaflavins glucose adducts through LC-MS/MS analysis.
FOOD RESEARCH INTERNATIONAL
(2021)
Article
Chemistry, Analytical
Ziyun Yan, Honggao Liu, Jieqing Li, Yuanzhong Wang
Summary: In order to ensure food safety, it is necessary to establish a reliable and rapid prediction model of mushroom storage life. This study detected the changes of nucleosides content in Lanmaoa asiatica using HPLC and analyzed L. asiatica in different storage periods using FT-NIR and chemometrics. The results showed that with the prolongation of storage time, the contents of uridine, adenosine, and guanosine increased.
MICROCHEMICAL JOURNAL
(2023)
Article
Pharmacology & Pharmacy
Fengfeng Qu, Zeyi Ai, Shuyuan Liu, Haojie Zhang, Yuqiong Chen, Yaomin Wang, Dejiang Ni
Summary: This study revealed that the low bioavailability of theaflavins in Caco-2 monolayers is attributed to their structural instability, efflux transporters, and cell metabolism.
Article
Chemistry, Applied
Haroon Elrasheid Tahir, Abdalbasit Adam Mariod, Sulafa B. H. Hashim, Muhammad Arslan, Gustav Komla Mahunu, Huang Xiaowei, Li Zhihua, Isameldeen I. H. Abdalla, Zou Xiaobo
Summary: Gas chromatography-mass spectrometry (GC-MS) and Fourier transform infrared spectroscopy (FT-NIR) combined with chemometrics were used to identify the geographical origin of Black Mahlab Seeds (BMSs) and showed good classification and prediction performance.
Article
Agriculture, Multidisciplinary
Maiquan Li, Can Zhang, Xing Xiao, Mingzhi Zhu, Wei Quan, Xia Liu, Sheng Zhang, Zhonghua Liu
Summary: Theaflavins (TFs) have been found to play a role in mitigating aging-induced cognitive dysfunction through the microbiota-gut-brain axis. TFs improve gut homeostasis, restructure the gut microbiota, and alter core microbiota metabolites, thereby enhancing antioxidant ability, immune response, tight junction protein expression, and brain neurotrophic factors. Removing the gut microbiota partly diminishes the neuroprotective effects of TFs. Overall, TFs can serve as a novel dietary intervention approach against aging-associated cognitive decline.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2023)
Article
Food Science & Technology
Huajie Wang, Shuai Shen, Jinjin Wang, Yongwen Jiang, Jia Li, Yanqin Yang, Jinjie Hua, Haibo Yuan
Summary: The study found that 3 hours was the optimal fermentation time for retaining key compounds such as simple catechins, promoting the formation of TFs and TRs, facilitating sugar formation and conversion, and degrading flavonoid glycosides. At this time, volatile compounds were most abundant, and the samples had the best sensory quality.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Cheng-Peng Sun, Xiang-Ge Tian, Lei Feng, Chao Wang, Jing-Xin Li, Xiao-Kui Huo, Wen-Yu Zhao, Jing Ning, Zhen-Long Yu, Sa Deng, Bao-Jing Zhang, Xia Lv, Jie Hou, Xiao-Chi Ma
Summary: The study found that ethanol extracts of black tea showed significant inhibitory activities against Escherichia coli beta-glucuronidase, with some polyphenols being identified as stronger inhibitors. This provides important information for the development of black tea and its constituents for treating drug-induced enteropathy.
ARABIAN JOURNAL OF CHEMISTRY
(2021)
Article
Chemistry, Analytical
Geetanjali Basavaraj Hubli, Shantanu Banerjee, Anurag S. Rathore
Summary: In this study, a robust FT-NIR based quantification method has been developed for the measurement of all 20 amino acids, glucose, lactate, and trastuzumab in CHO cell culture. The method achieved good calibration statistics and demonstrated the ability to accurately predict the concentrations of these components. The proposed tool has the potential to play a critical role in biopharmaceutical manufacturing and process control.
Review
Food Science & Technology
Md Mehedi Hassan, Yi Xu, Muhammad Zareef, Huanhuan Li, Yawen Rong, Quansheng Chen
Summary: The abuse of pesticides in agricultural land can cause residue increase and environmental pollution, ultimately affecting human health. Detecting trace amounts of residue in food and water is crucial. Recently, nanomaterial-based optical detection methods have gained interest due to their high sensitivity, low detection limit, and good selectivity. This review focuses on the application of these methods to monitor benzimidazole fungicide residue in food and water samples.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Biophysics
Huanhuan Li, Wenhui Geng, Zhixiong Qi, Waqas Ahmad, Quansheng Chen
Summary: A stimuli-responsive SERS biosensor was developed for tetracycline detection using EDTA-driven polyethyleneimine grafted calcium carbonate microcapsules and chitosan-Fe magnetic microbeads. The biosensor showed high sensitivity and stability, with a linear relationship established and a LOD of 0.03 ng/mL. The biosensor's application in detecting tetracycline in food matrices was also validated and yielded consistent results with the standard ELISA method. This SERS biosensor offers promising prospects for tetracycline detection.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Chemistry, Applied
Qin Ouyang, Lihua Liu, Li Wang, Muhammad Zareef, Zhen Wang, Haoquan Li, Juan Yin, Quansheng Chen
Summary: This study proposes a method for predicting the compositions of matcha using a portable NIR spectroscopy system and compares it with a benchtop FT-NIR spectroscopy system. The results show that the BOSS-PLS models yield satisfactory predictions for both NIR spectroscopy types. Moreover, the portable NIR-IS system has a prediction ability comparable to the benchtop FT-NIR, making it suitable for on-site prediction of matcha compositions.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2023)
Article
Chemistry, Analytical
Baoning Wang, Waqas Ahmad, Quansheng Chen, Qin Ouyang
Summary: A sensitive fluorescence nanosensor was developed for the detection of nitrite in pickled meat products, offering rapid detection and low detection limits.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Spectroscopy
Suleiman A. Haruna, Huanhuan Li, Wenya Wei, Wenhui Geng, Xiaofeng Luo, Muhammad Zareef, Selorm Yao-Say Solomon Adade, Ngouana Moffo A. Ivane, Adamu Isa, Quansheng Chen
Summary: In this study, the potential of near-infrared spectroscopy coupled with efficient variable selection algorithms for quantitative prediction of flavonoids and phenolic compounds in raw peanut seeds was explored. The Si-CARS-PLS model performed optimally for predicting total flavonoids and total phenolics.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Chemistry, Analytical
Rui Ge, Hanjie Dai, Shumin Zhang, Jie Wei, Tianhui Jiao, Qingmin Chen, Quansheng Chen, Xiaomei Chen
Summary: In this study, a photoelectrochemical (PEC) biosensor combined with recombinase polymerase amplification (RPA) technology (RPA-PEC) was proposed for rapid detection of multiple foodborne pathogens. The RPA was initiated on homemade three-dimensional screen-printed paper-based electrodes, forming a lab-on-paper platform. Using the DNA-PEC signaler, photocurrents were achieved after only 20 minutes of RPA, with superior detection performance compared to conventional agarose gel electrophoresis.
ANALYTICAL CHEMISTRY
(2023)
Review
Biophysics
Yizhuo Yang, Fang Xu, Jisen Chen, Chunxu Tao, Yunxin Li, Quansheng Chen, Sheng Tang, Hian Kee Lee, Wei Shen
Summary: Artificial intelligence (AI) has rapidly developed and been widely applied in various fields since its conception, especially in conjunction with the advanced hardware technologies of smartphones. Researchers have explored the integration of smartphones with AI algorithms for intelligent analysis and have developed diverse applications in bioanalytical detection. This review provides an overview of this field, focusing on hardware design, software algorithms, specific application areas, limitations, and future prospects of AI-based smartphone detection and analysis. While the limitations of smartphone hardware and insufficient data for AI model building restrict the application of AI in detection analysis, the technology is expected to make further advancements in other fields, with the potential for increased participation from the general public.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Automation & Control Systems
Jiaji Zhu, Xin Jiang, Qianjin Wang, Jizhong Wu, Shengde Wu, Xiaojing Chen, Quansheng Chen
Summary: A novel hybrid variable selection strategy, MA-iPLS + HSIC-VSIO, is proposed in this study for spectroscopic analysis. It combines MA-iPLS and HSIC-VSIO methods to optimize variable selection. The results demonstrate the excellent performance of MA-iPLS + HSIC-VSIO for molecular spectroscopic analysis.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Chemistry, Applied
Lihua Liu, Muhammad Zareef, Zhen Wang, Haoquan Li, Quansheng Chen, Qin Ouyang
Summary: The study aims to explore the mechanism of chlorophyll changes during Tencha processing and evaluate the feasibility of predicting its content using a portable near-infrared (NIR) spectrometer. Various preprocessing techniques were used to preprocess the Tencha samples' spectral data, and IVSO, BOSS, and CARS were used to optimize and build PLS models. The CARS-PLS models achieved the best predictive accuracy, with correlation coefficients of prediction (Rp) = 0.9204 for chlorophyll a, Rp = 0.9282 for chlorophyll b, and Rp = 0.9385 for total chlorophyll. These findings suggest that NIR spectroscopy could be used as a surrogate for immediate quantification and monitoring of chlorophyll during Tencha processing.
Article
Chemistry, Analytical
Waqas Ahmad, Li Wang, Muhammad Zareef, Quansheng Chen
Summary: A highly structured fluorometric bioassay utilizing upconversion nanoparticles and a dark receptor has been developed for screening Staphylococcus aureus. The assay relies on the energy transfer between donor-labeled nanoparticles and a receptor molecule, resulting in fluorescence activation upon target detection. The assay demonstrated excellent sensitivity and accuracy in detecting S. aureus in various samples. This method offers a fast and precise screening approach for S. aureus in food and environmental settings.
Article
Instruments & Instrumentation
Hui Jiang, Yingchao Xue, Quansheng Chen
Summary: This study introduces a novel deep transfer learning (DTL) approach based on convolutional neural networks (CNN) and Fourier transform near-infrared (FT-NIR) spectroscopy to enhance the accuracy of predicting the residual levels of chlorpyrifos in corn oil. The proposed method utilizes DTL to transfer the parameters learned from a trained model to enhance the performance of a new model. The research findings demonstrate that the developed DTL method achieves superior predictive accuracy while utilizing a smaller amount of FT-NIR spectral data.
INFRARED PHYSICS & TECHNOLOGY
(2023)
Article
Instruments & Instrumentation
Mingxing Zhao, Hui Jiang, Quansheng Chen
Summary: A method for the quantitative detection of procymidone residues in grain and oil products using NIR spectroscopy was proposed. Three wavelength selection algorithms and two parameter optimization algorithms were compared, and the SVR model using CARS and PIO algorithm demonstrated the best performance. The results showed that the SVR model optimized by input feature and parameter based on NIR spectral data can achieve high-precision and rapid detection of procymidone in edible oil, which is of great significance in ensuring the safety of grain and oil food.
INFRARED PHYSICS & TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Wenwen Wu, Md Mehedi Hassan, Xiaodan Ding, Jizhong Wu, Qin Ouyang, Quansheng Chen
Summary: A novel fluorescence aptasensor was developed for detection of sulfadiazine (SDZ) using a pH-sensitive strategy to enhance fluorescence resonance energy transfer (FRET). Acetylcholinesterase (AChE) regulated the FRET between upconversion nanoparticles (UCNPs) and pH-sensitive fluorescein isothiocyanate (FITC) dye. The specific recognition of aptamer to SDZ disrupted the assembly, leading to reduced fluorescence recovery. The biosensor exhibited a linear relationship with a concentration range of 0.1-100 ng/mL and a limit of detection (LOD) of 0.031 ng/mL. Comparison with enzyme-linked immunosorbent assay (ELISA) showed satisfactory results (p > 0.05).
MICROCHEMICAL JOURNAL
(2023)
Article
Chemistry, Applied
Huanhuan Li, Xiaofeng Luo, Suleiman A. Haruna, Muhammad Zareef, Quansheng Chen, Zhen Ding, Yiyong Yan
Summary: This study developed a method for the rapid and sensitive detection of pesticide residues in tea using surface-enhanced Raman scattering (SERS) and an intelligent algorithm. Au-Ag octahedral hollow cages (Au-Ag OHCs) were developed to amplify the Raman signals of pesticide molecules, using octahedral Cu2O templates to improve the surface plasma effect. Convolutional neural network (CNN), partial least squares (PLS), and extreme learning machine (ELM) algorithms were applied for the quantitative prediction of thiram and pymetrozine, with CNN algorithms performing optimally. The proposed Au-Ag OHCs-based SERS technique could be utilized for quantifying thiram and pymetrozine in tea.
Article
Chemistry, Analytical
Afang Zhu, Shujat Ali, Zhen Wang, Yi Xu, Rongxi Lin, Tianhui Jiao, Qin Ouyang, Quansheng Chen
Summary: In this study, a microarray SERS chip was synthesized for rapid and accurate detection of bacteria and effective inhibition or inactivation of pathogens. The chip demonstrated high sensitivity for bacterial detection and confirmed antibacterial and photocatalytic sterilization properties. It offers promising strategies for foodborne diseases caused by pathogenic bacteria.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Gang Qu, Yuxin Zhao, Qiaoli Zhang, Jina Wu, Xiaosen Li, Yang Yang, Shilei Liu
Summary: In this study, magnetic mesoporous materials combined with real-time in situ mass spectrometry were used for the high-throughput detection of hydrolyzed products of organophosphorus nerve agents. The method showed good linearity, low limits of detection and quantification, and high extraction recoveries. The magnetic preparation method used was quick, cost-effective, rugged, and safe. The results demonstrated the potential of this method for rapid and efficient determination of the target analytes in environmental samples.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Anna Hildebrand, Mariam Merchant, Danny O'Hare
Summary: Substandard and falsified artemisinin derivatives in antimalarials have caused significant deaths and economic losses. This study evaluates the feasibility of voltammetric methods for identifying and quantifying artemether. The findings suggest that electrochemical analysis shows promise as a method for artemether identification and quantification.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Marx Osorio Araujo Pereira, Alvaro Ferreira Junior, Edson Silvio Batista Rodrigues, Helena Mulser, Giovanna Nascimento de Mello e Silva, Wallans Torres Pio dos Santos, Eric de Souza Gil
Summary: Brazilian spotted fever (BSF) is a serious and rapidly evolving disease. A new impedimetric immunosensor was developed for rapid diagnosis by measuring specific antibodies in plasma. The sensor demonstrated selectivity and accuracy, and has potential for important applications in diagnostic testing.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Kathrin Schilling, Ronald A. Glabonjat, Olgica Balac, Marta Galvez-Fernandez, Arce Domingo-Relloso, Vesna Slavkovich, Jeff Goldsmith, Miranda R. Jones, Tiffany R. Sanchez, Ana Navas-Acien
Summary: Analysis of trace elements in urine is an important tool for assessing exposures, diagnosing nutritional status, and guiding public health and healthcare intervention. This study provides a sensitive method for analyzing 18 elements in urine samples, using only 100 μL. The results show good accuracy and sensitivity of the method.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Mengya Li, Shijie Liu, Shiliang Guo, Dong Liang, Miaoyun Li, Yaodi Zhu, Lijun Zhao, Jong-Hoon Lee, Gaiming Zhao, Yangyang Ma, Yanxia Liu
Summary: In this study, a magnetic flow device was developed to purify spores in a culture medium system. The device used magnetic nanoparticles to absorb vegetative cells, separating them from the spores. The achieved purity of the collected spores was over 95%. The study also demonstrated a rapid quantitative detection method using Raman spectroscopy.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Wanqiong Liu, Zixuan Wu, Jianwei Peng, Zebin Xu, Yong Liang
Summary: Metal-organic frameworks (MOFs) are effective carriers for molecular imprinting, but their poor dispersibility in aqueous solution is a significant drawback. In this study, we have applied amphiphilic block copolymers and molecularly imprinted technology on MOFs to improve the hydrophilicity of molecularly imprinted fluorescent materials.
ANALYTICAL METHODS
(2024)