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rapid detection of pathogenic fungi from coastal population with respiratory infections using microfluidic chip technology

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BMC INFECTIOUS DISEASES 2024年第1期24卷 326页

作者： Yao, Qingmei He, Yuan Deng, Liehua Chen, Dafeng Zhang, Yuanli Luo, Hui Lei, Wei Guangdong Med Univ Univ Joint Lab Guangdong Prov & Macao Reg Mol Targ Affiliated Hosp Guangdong Prov Engn Technol Res Ctr Mol Diag & Inn Zhanjiang 524001 Peoples R China Guangdong Med Univ Affiliated Hosp Dept Precis Lab Zhanjiang 524001 Peoples R China Guangdong Med Univ Marine Biomed Res Inst Guangdong Prov Lab Southern Marine Sci & Engn Zhanjiang 524023 Peoples R China Guangdong Med Univ Affiliated Hosp Lab Cardiovasc Dis Zhanjiang 524001 Peoples R China Guangdong Med Univ Affiliated Hosp Dept Crit Care Med Zhanjiang 524001 Peoples R China

BackgroundCurrently, culture methods are commonly used in clinical tests to detect pathogenic fungi including Candida spp. Nonetheless, these methods are cumbersome and time-consuming, thereby leading to considerable difficulties in diagnosis of pathogenic fungal infections, especially in situations that respiratory samples such as alveolar lavage fluid and pleural fluid contain extremely small amounts of microorganisms. The aim of this study was to elucidate the utility and practicality of microfluidic chip technology in quick detection of respiratory pathogenic *** of clinical samples (mainly derived from sputa, alveolar lavage fluid, and pleural fluid) from 64 coastal patients were quickly detected using microfluidic chip technology with 20 species of fungal spectrum and then validated by Real-time qPCR, and their clinical baseline data were *** chip results showed that 36 cases infected with Candida spp. and 27 cases tested negative for fungi, which was consistent with Real-time qPCR validation. In contrast, only 16 cases of fungal infections were detected by the culture method;however, one of the culture-positive samples tested negative by microfluidic chip and qPCR validation. Moreover, we found that the patients with Candida infections had significantly higher rates of platelet count reduction than fungi-negative controls. When compared with the patients infected with C. albicans alone, the proportion of males in the patients co-infected with multiple Candidas significantly increased, while their platelet counts significantly *** findings suggest that constant temperature amplification-based microfluidic chip technology combined with routine blood tests can increase the detection speed and accuracy (including sensitivity and specificity) of identifying respiratory pathogenic fungi.

关键词： Pathogenic fungi Respiratory infections Microfluidic chip rapid detection Diagnostic accuracy

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rapid detection of zoonotic Streptococcus suis serotype 2 and 14 by enzyme-activated probe fluorescence quantitative PCR method

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BMC VETERINARY RESEARCH 2024年第1期20卷 1-7页

作者： Su, Yaxing Meng, Jiajia Zhao, Mingwei Li, Chunling Zhai, Shaolun Li, Yan Chu, Pinpin Bian, Zhibiao Zhang, Kunli Yang, Dongxia Jiang, Zhiyong Gou, Hongchao Xu, Chenggang South China Agr Univ Coll Vet Med Guangdong Lab Lingnan Modern Agr Guangzhou 510642 Peoples R China Guangdong Acad Agr Sci Guangdong Prov Key Lab Livestock Dis Prevent Sci Observat & Expt Stn Vet Drugs & Diagnost Tech Inst Anim Hlth Guangzhou 510640 Peoples R China Guangdong Lab Lingnan Modern Agr Maoming Branch Maoming Peoples R China Guangdong Prov Key Lab Res Technol Pig Breeding & Guangzhou 510640 Peoples R China

Streptococcus suis serotypes 2 and 14 are the most common zoonotic strains, but previous identification methods made distinguish these two serotypes from other S. suis serotypes difficult. To effectively prevent and control them, there is an urgent need for a highly sensitive and specific method to identify these two serotypes. In this study, a fluorescent probe was designed for the single nucleotide polymorphism site at cpsK 483 of Streptococcus suis type 2 and type 14 compared with other serotypes, and an enzyme-activated probe quantitative PCR (EA-probe qPCR) method was established for the detection of Streptococcus suis type 2 and type 14 by combining with the specific hydrolysis characteristics of the RNase H2 enzyme. The results showed that the optimal probe concentration for this method was 0.5 mu M and the optimal RNase H2 enzyme concentration was 25 *** method showed no reactivity with genomic DNA from Streptococcus suis strains 1/2, 5, 7, 9, 23, 28, 29, and 31, confirming its high specificity. And its sensitivity can reach 18.4 CFU. In addition, 19 clinical strains of Streptococcus suis type 2 or type 1/2 were tested. The results showed 100% agreement with the gene sequencing method. In conclusion, this method can meet the needs of accurate laboratory testing of Streptococcus suis serotypes 2 and 14 and has value for clinical prevention.

关键词： Streptococcus suis serotypes 2 and 14 Single-nucleotide polymorphism EA-probe qPCR rapid detection RNase H2 enzyme

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rapid detection of carbendazim residue in tea by machine learning assisted electrochemical sensor

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JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2023年第6期17卷 6363-6369页

作者： Tang, Man Guo, Junying Shen, Zhen Nanyang Inst Technol Sch Comp & Software Nanyang 473000 Peoples R China

The presence of pesticide residues in agricultural products, such as tea, poses significant health risks to consumers and has become a major concern for the food industry. Carbendazim, a widely used fungicide, has been identified as one of the harmful contaminants in tea. rapid and accurate detection of carbendazim residues is therefore essential for ensuring food safety and quality. In this study, we propose a novel machine learning-assisted electrochemical sensor based on a CuO/reduced graphene oxide (rGO)/poly N-phenylglycine (NPAN) composite electrode for the rapid detection of carbendazim residues in tea. The CuO/rGO/NPAN electrode offers enhanced selectivity and sensitivity, enabling reliable detection of carbendazim even in the presence of other pesticides. By systematically evaluating various machine learning models and preprocessing techniques, we optimize the sensor's performance and achieve accurate classification and identification of carbendazim residues. Our research contributes to the field of food safety assessment by introducing a novel electrode design and demonstrating the effectiveness of machine learning-assisted electrochemical sensors for the detection of carbendazim residues in tea.

关键词： Machine learning Electrochemical sensor Carbendazim Tea Food safety Pesticide residue CuO/rGO/NPAN electrode Selectivity Sensitivity rapid detection

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rapid detection of murine-derived ingredients in meat products using real-time enzymatic recombinase amplification

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JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2025年第1期105卷 444-452页

作者： Xie, Qingqing Liu, Zhifei Liang, Qianqian Wang, Xiaohui Yang, Qiquan Cai, Wenyu Lei, Jiawen Cheng, Guojun Zhang, Li South Cent Minzu Univ Coll Life Sci Hubei Prov Key Lab Protect & Applicat Special Plan Wuhan 430074 Peoples R China

BACKGROUNDAccurate identification of meat species is critical to prevent economic fraud and safeguard public health. The use of inappropriate meat sources, such as murine, poses significant health risks because of potential contamination with pathogens and allergens, leading to foodborne illnesses. The present study aimed to develop a novel real-time enzymatic recombinase amplification (ERA) method for the rapid and specific detection of murine DNA in meat *** novel ERA primer and probe set was designed, targeting a murine-specific single-copy nuclear gene identified through bioinformatics analysis. The assay demonstrates high specificity, showing no amplification in commonly consumed meats, other animals or major crops. Additionally, it exhibits remarkable sensitivity, detecting as few as five copies of murine genomic DNA. For practical application, the ERA method could effectively identify mouse DNA in laboratory-prepared samples at concentrations as low as 0.5% and also quantify samples with mouse DNA content as low as 5%. It also accurately detects the presence of murine-derived ingredients in commercially available meat products. The detection process is straightforward, utilizing a simple isothermal device for incubation, blue light excitation and a smartphone camera for result interpretation. This rapid analysis can be completed within 20 *** newly developed real-time ERA method provides a valuable tool for standardizing meat trade practices, promoting food safety and enhancing consumer confidence in the authenticity of meat products. (c) 2024 Society of Chemical Industry.

关键词： food authenticity murine DNA detection single-copy nuclear gene real-time enzymatic recombinase amplification rapid detection

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rapid detection of four polycyclic aromatic hydrocarbons in drinking water by constant-wavelength synchronous fluorescence spectrometry

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ANALYTICAL SCIENCES 2023年第1期39卷 59-66页

作者： Cai, Qihong Wang, Menglin Zheng, Xiaodan Xu, Guifen Lin, Yuanping Tang, Yaoji Putian Univ Pharmaceut & Med Technol Coll Putian 351100 Fujian Peoples R China Fujian Prov Univ Key Lab Pharmaceut Anal & Lab Med Putian Univ Putian 351100 Fujian Peoples R China Fujian Med Univ Sch Pharm Fuzhou 350000 Fujian Peoples R China Shandong Univ Sci & Technol Coll Chem & Biol Engn Qingdao 266590 Shandong Peoples R China

Based on the advantages of the good selectivity and high sensitivity of the synchronous fluorescence method, an efficient method using constant-wavelength synchronous fluorescence spectrometry (CWSFS) for simultaneous and rapid determination of four polycyclic aromatic hydrocarbons (PAHs) (acenaphthene, phenanthrene, benzo[a]anthracene and fluoranthene) in drinking water was established in this study. When the difference in wavelength (Delta lambda) at 100 nm was chosen for CWSFS scanning, the synchronous fluorescence spectra of the four PAHs could be well separated with only one single scan. Different from conventional fluorescence analysis, the established method can avoid the interference among the four PAHs each other and the interference of the drinking water sample matrix, so the four PAHs in drinking water could be well distinguished and determined. The concentrations of four PAHs in the range of 0.05-100 mu g/L, 0.1-400 mu g/L, 0.05-100 mu g/L and 0.5-2000 mu g/L showed a good linear relationship with fluorescence intensity. The limits of detection were 0.0058 mu g/L, 0.021 mu g/L, 0.0061 mu g/L and 0.056 mu g/L, respectively. The recoveries were in the range of 86.55-98.74%. Overall, the established CWSFS had the characteristics of simple, rapid, sensitive and accuracy, and had been applied to the determination of the four PAHs in various drinking water with satisfactory results.

关键词： Constant-wavelength synchronous fluorescence spectrometry Polycyclic aromatic hydrocarbons Drinking water rapid detection

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rapid detection of Multi-QR Codes Based on Multistage Stepwise Discrimination and a Compressed MobileNet

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IEEE INTERNET OF THINGS JOURNAL 2023年第18期10卷 15966-15979页

作者： Chen, Rongjun Huang, Hongxing Yu, Yongxing Ren, Jinchang Wang, Peixian Zhao, Huimin Lu, Xu Guangdong Polytech Normal Univ Sch Comp Sci Guangzhou 510665 Peoples R China South China Univ Technol Sch Automat Sci & Engn Guangzhou 510641 Peoples R China Robert Gordon Univ Natl Subsea Ctr Aberdeen AB21 0BH Scotland

Poor real-time performance in multi-QR codes detection has been a bottleneck in QR code decoding-based Internet of Things (IoT) systems. To tackle this issue, we propose in this article a rapid detection approach, which consists of multistage stepwise discrimination (MSD) and a Compressed MobileNet. Inspired by the object category determination analysis, the preprocessed QR codes are extracted accurately on a small scale using the MSD. Guided by the small scale of the image and the end-to-end detection model, we obtain a lightweight Compressed MobileNet in a deep weight compression manner to realize rapid inference of multi-QR codes. The average detection precision (ADP), multiple box rate (MBR) and running time are used for quantitative evaluation of the efficacy and efficiency. Compared with a few state-of-the-art methods, our approach has higher detection performance in rapid and accurate extraction of all the QR codes. The approach is conducive to embedded implementation in edge devices along with a bit of overhead computation to further benefit a wide range of real-time IoT applications.

关键词： QR codes Codes Internet of Things Image edge detection Task analysis Image coding Terminology Embedded edge devices Internet of Things (IoT) MobileNet multi-QR codes rapid detection

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rapid detection of carbamate nerve agent analogues using dually functionalized gold nanoclusters

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ANALYTICAL AND BIOANALYTICAL CHEMISTRY 2023年第16期415卷 3275-3284页

作者： Zhang, Qiaoli Lv, Jiale Xia, Junmei Wang, Liangliang Qu, Gang Yang, Yuntao Yang, Yang Liu, Shilei State Key Lab NBC Protect Civilian Beijing 102205 Peoples R China Sichuan Univ Sci & Engn Coll Chem Engn Zigong 643000 Peoples R China

Carbamate nerve agents (CMNAs) are a type of lethal cholinesterase inhibitor with one or more quaternary amine centres and aromatic rings. CMNAs have been recently added to the Annex on Chemicals of the Chemical Weapons Convention (CWC) and Schedules of Controlled Chemicals of China. In this study, a rapid, sensitive and selective method was developed for the fluorescence detection of ambenonium chloride (AC) through host-guest and electrostatic dual interactions between AC and cyclodextrin/11-mercaptoundecanoic acid (CD/MUA) dually functionalized gold nanoclusters (AuNCs). Through this method, AC was detected with a limit of detection of 10.0 ng/mL. Method evaluation showed high selectivity towards AC over other related compounds. The practical applicability was verified, as satisfactory recoveries were obtained for AC spiked in river water and urine, as well as Proficiency Test samples from Organisation for the Prohibition of Chemical Weapons (OPCW). In addition, a fluorescence sensing array comprising four AuNCs was designed to distinguish six carbamates and structurally similar compounds. This method provides a potential approach for the rapid, sensitive and selective recognition and detection of CMNAs.

关键词： Carbamate nerve agents Ambenonium chloride Dually functionalized gold nanoclusters rapid detection Fluorescence sensing array

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Engineered Aptamer-Derived Fluorescent Aptasensor: the Label-Free, Single-Step, rapid detection of Vancomycin in Clinical Samples

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SMALL 2025年第5期21卷 e2407799页

作者： Liu, Zhou-Jie Liang, Yu-Qi Li, Jia-Yi Wu, Bing Huang, Chen Liu, Yi-Wei Zhang, Chen-Zhi Yang, Ye Cai, Nai-Qing Chen, Jin-Yuan Lin, Xin-Hua Fujian Med Univ Affiliated Hosp 1 Natl Reg Med Ctr Dept Pharm Binhai Campus Fuzhou 350212 Peoples R China Fujian Med Univ Affiliated Hosp 1 Fuzhou 350005 Peoples R China Fujian Med Univ Fac Pharm Dept Pharmaceut Anal Higher Educ Key Lab Nano Biomed Technol Fujian Pro Fuzhou 350122 Peoples R China

Currently, the reported vancomycin (VCM) aptamers, including the 3- (Kd = 9.13 x 10-6 m) and 4-truncated variants (Kd = 45.5 x 10-6 m), are engineered via stem truncation of the VCM parent aptamer, which inevitably compromises their affinities, thus affecting their clinical application within the VCM therapeutic window of 6.9-13.8 x 10-6 m. Herein, the binding pocket of the VCM parent aptamer is elucidated for the first time and we implemented the Post-SELEX modification strategy involving truncation and mutagenesis to refined the VCM parent aptamer. This yielded a VCM aptamer (ABC20-11) with an intramolecular G-triplex, an enhanced thioflavin T (ThT) fluorescence intensity, and an improved affinity (Kd = 0.591 x 10-6 m) and specificity (one-methyl level) for VCM. Utilizing a portable fluorescence detector specifically designed for rapidly detecting VCM concentration and leveraging the competitive binding between VCM and ThT to ABC20-11, a label-free fluorescent aptasensor is developed. This aptasensor exhibits exceptional analytical performances across various clinical samples (serum, cerebrospinal fluid, and joint fluid), with corresponding linear ranges of 0.5-50, 0.5-40, and 0.5-50 x 10-6 m and detection limits at 0.11, 0.12, and 0.16 x 10-6 m, respectively. Consequently, the proposed VCM aptasensor displays considerable clinical value and potential for use in rapid VCM detection.

关键词： engineered aptamer label-free rapid detection single-step vancomycin concentration

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Advanced imidazole-functionalized metal-organic framework-based dual-mode sensor for rapid detection of FLU pesticide residues in food

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FOOD CHEMISTRY 2025年 468卷 142373页

作者： Xin, Xuelian Chen, Qiaoxia Liu, Shangying Wang, Zhiqiang Li, Cuiping Cao, Jiankun Niu, Can Chen, Jianling Fan, Weidong Han, Dandan Yan, Hongyuan Hebei Univ Coll Publ Hlth Baoding 071002 Hebei Peoples R China Hebei Univ Key Lab Publ Hlth Safety Hebei Prov Baoding 071002 Hebei Peoples R China China Univ Petr East China Sch Mat Sci & Engn Qingdao 266580 Shandong Peoples R China

In this study, an advanced imidazole-functionalized 2D metal-organic framework (HBU-169), {[Cd2(L)2H2O]2(H2O)}center dot(4H2O)center dot(DMF) was presented, which possesses both fluorescent properties and oxidaselike activity. HBU-169 demonstrates the ability to detect fluazinam (FLU) via fluorescent and colorimetric modes. In the fluorescent mode, a pronounced fluorescence quenching is observed, with the limit of detection (LOD) of 1.68 mu M. The mechanism may involve dynamic quenching process and competitive absorption of excitation energy. The method could be utilized for rapid in-situ imaging detection of pesticide residues on cabbage surface. In the colorimetric mode, a semi-quantitative test paper was developed, featuring visible color changes and smartphone-assisted detection. The mechanism was attributed to the catalytic effect of HBU-169. A high-throughput method combining fluorescent and colorimetric modes were established for FLU detection. This study provides a promising avenue for assessing the safety of FLU-contaminated food and holds potential for application in ensuring the safety of other agricultural products.

关键词： Metal-organic framework Fluazinam Fluorescence Colorimetric rapid detection

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Machine learning-driven fluorescent sensor array using aqueous CsPbBr3 perovskite quantum dots for rapid detection and sterilization of foodborne pathogens

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JOURNAL OF HAZARDOUS MATERIALS 2025年 483卷 136655页

作者： Zhang, Shanting Zhu, Weiwei Zhang, Xin Mei, Lianghui Liu, Jian Wang, Fangbin Hefei Univ Technol Hefei 230009 Peoples R China

With the growing global concern over food safety, the rapid detection and disinfection of foodborne pathogens have become critical in public health. This study presents a novel machine learning-driven fluorescent sensor array utilizing aqueous CsPbBr3 perovskite quantum dots (PQDs) for the rapid identification and eradication of foodborne pathogens. The relative signal intensity changes (Delta RGB) generated by the sensor array were analyzed using the machine learning algorithm-Support Vector Machine (SVM). The study achieved the identification and recognition of five pathogens and their mixtures within a concentration range of 1.0 x 10(3) to 1.0 x 107 CFU/ mL with an accuracy rate of 100 %, and the limits of detection (LOD) for the pathogens were found to be low. Additionally, the array also showed excellent performance in the identification of pathogens in tap water, achieving an accuracy rate of 100 %. Furthermore, the fluorescent sensor array was capable of inactivating the pathogens with an efficiency of over 99 % within 30 min post-detection. This development provides an efficient and reliable tool for the field of food safety detection.

关键词： Fluorescent sensor array Perovskite quantum dots Machine learning Foodborne pathogens rapid detection

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