4.7 Article

Fabricating Upconversion Fluorescent Probes for Rapidly Sensing Foodborne Pathogens

期刊

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 63, 期 36, 页码 8068-8074

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jafc.5b02331

关键词

bacteria; sensing; upconversion nanoparticles; fluorescent probe; Escherichia coli

资金

  1. National Natural Science Foundation of China [31271875]
  2. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)

向作者/读者索取更多资源

Rare earth-doped upconversion nanoparticles (UCNPs) have promising potential in the field of food safety because of their unique frequency upconverting capability and high detection sensitivity. Here, we report a rapid and sensitive UCNP-based bacterium-sensing strategy using Escherichia coli. Highly fluorescent and water-soluble UCNPs were fabricated and conjugated with antibodies against E. coli for use as fluorescent probes. The E. coli were successively captured by the fluorescent probes. After the captured cell samples were pelleted, the differences in the fluorescence intensities between sample supernatants and the control were observed to increase linearly with E. coli concentration from 42 to 42 X 10(6) colony-forming units (cfu)/mL (R-2 = 0.9802), resulting in a relatively low limit of detection of 10 cfu/mL. Furthermore, the ability of the bioassay to detect E. coli was also confirmed in adulterated meat and milk samples.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Review Food Science & Technology

Recent advancement in nano-optical strategies for detection of pathogenic bacteria and their metabolites in food safety

Yi Xu, Md Mehedi Hassan, Arumugam Selva Sharma, Huanhuan Li, Quansheng Chen

Summary: This review summarized the recent advances in nano-optical strategies for bacteria and their metabolites sensing in the field of food safety. Nano-optical sensors, integrated with various technologies, have greatly improved the sensitivity and reduced the detection time and cost. However, challenges remain in the simple fabrication of biosensors and their practical application in complex matrices.

CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION (2023)

Review Chemistry, Analytical

Metal-organic frameworks (MOFs) for milk safety and contaminants monitoring

Brij Mohan, Gurjaspreet Singh, Armando J. L. Pombeiro, Alexander A. Solovev, Pawan Kumar Sharma, Quansheng Chen

Summary: As the excessive use of pesticides, drugs, and chemicals in agriculture has raised milk safety concerns, the development of monitoring methods for toxicants in milk samples is of great importance. Metal-organic frameworks (MOFs) materials have shown promise in this area due to their tunable porosity and active functional sites. This review focuses on the electrochemical and luminescence MOF sensors for monitoring contaminants in milk samples, discussing their development, sensitivity, selectivity, and application, as well as the challenges and future directions in next-generation milk monitoring using MOF sensors.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2023)

Article Chemistry, Applied

Bipyridine-mediated fluorescence charge transfer process based on copper ion grafted upconversion nanoparticle platform for ciprofloxacin sensing in aquatic products

Xiaodan Ding, Waqas Ahmad, Jizhong Wu, Yawen Rong, Qin Ouyang, Quansheng Chen

Summary: An ultrasensitive detection strategy for ciprofloxacin (CIP) has been developed using copper ions-induced charge transfer in poly acrylic acid (PAA) functionalized upconversion nanoparticles (UCNPs)/2,2-bipyridine (bipy) system. Copper ions adhere to the surface of PAA-UCNPs, deactivating fluorescence, while bipy controls aggregation. CIP coordinates with the bipy-Cu complex, causing the release of trapped fluorescence. The method shows a good calibration plot (0.05-1000 ng/mL) and a detection limit of 0.13 ng/mL.

FOOD CHEMISTRY (2023)

Article Food Science & Technology

Mesoporous silica-modified upconversion biosensor coupled with real-time ion release properties for ultrasensitive detection of Staphylococcus aureus in meat

Qin Ouyang, Mingming Zhang, Yongcun Yang, Zia-ud Din, Quansheng Chen

Summary: In this study, a novel fluorescence biosensor was designed for the rapid detection of Staphylococcus aureus in meat. By using mesoporous silica-modified upconversion nanoparticles, the biosensor achieved low detection limits and wide detection range. The results showed that the biosensor had comparable performance to the traditional plate counting method in detecting S. aureus in meat.

FOOD CONTROL (2023)

Article Food Science & Technology

Olfactory sensor combined with chemometrics analysis to determine fatty acid in stored wheat

Hui Jiang, Jihong Deng, Quansheng Chen

Summary: This study presents a quantitative method utilizing olfactory sensor technique for determining fatty acids in stored wheat. An olfactory sensor array was prepared using chemical dyes, and a dung beetle optimizer algorithm was employed to select the best color variable combination for the sensor. The support vector regression model based on the selected color variables showed the best performance in detecting wheat fatty acid values.

FOOD CONTROL (2023)

Article Biochemistry & Molecular Biology

Highly Sensitive β-Lactoglobulin Fluorescent Aptamer Biosensors Based on Tungsten Disulfide Nanosheets and DNase I-Assisted Signal Amplification

Yuying Wang, Sisi Chen, Wanmei Chen, Jingjing Wang, Kun Li, Chengyi Hong, Kailong Zhang, Quansheng Chen

Summary: Beta-lactoglobulin is a protein found in milk that can cause severe allergic reactions. This study presents a novel fluorescent aptamer biosensor for detecting beta-lactoglobulin, which has a linear detection range of 1-100 ng mL (-1) and a limit of detection of 0.344 ng mL (-1). The method has been successfully used for detecting beta-lactoglobulin in milk samples.

MOLECULES (2023)

Article Food Science & Technology

A Novel Colorimetric Sensor Array Coupled Multivariate Calibration Analysis for Predicting Freshness in Chicken Meat: A Comparison of Linear and Nonlinear Regression Algorithms

Wenhui Geng, Suleiman A. A. Haruna, Huanhuan Li, Hafizu Ibrahim Kademi, Quansheng Chen

Summary: In this study, a novel colorimetric sensor array (CSA) combined with linear and nonlinear regression models was used to evaluate the freshness of chicken meat based on the occurrence of total volatile basic nitrogen (TVB-N). The TVB-N concentration was determined by steam distillation, and the CSA was fabricated using nine chemically responsive dyes. The emissions of volatile organic compounds (VOCs) were found to be correlated to the utilized dyes. Different regression algorithms were applied and compared, and the nonlinear model based on competitive adaptive reweighted sampling coupled with support vector machines (CARS-SVM) achieved the best results.
Review Multidisciplinary Sciences

Recent advances in the biomolecules mediated synthesis of nanoclusters for food safety analysis

Devaraj Sabarinathan, Arumugam Selva Sharma, Marimuthu Murugavelu, Balakrishnan Kirubasankar, Indhiradevi Balusamy, Zhang Han, Huanhuan Li, Quansheng Chen

Summary: The development of nanoclusters based on incorporating biomolecules shows promising future as stable and high fluorescence biosensors with high sensitivity, detection level, and selectivity. The review provides an overview of recent advancements in synthesizing metal nanoclusters and their applications in food safety analysis.

HELIYON (2023)

Article Chemistry, Applied

Application of visible-near infrared spectroscopy in tandem with multivariate analysis for the rapid evaluation of matcha physicochemical indicators

Jizhong Wu, Muhammad Zareef, Quansheng Chen, Qin Ouyang

Summary: Consumer preference for matcha is influenced by its physicochemical properties. The combination of visible-near infrared (Vis-NIR) spectroscopy and multivariate analysis allows for rapid and non-invasive evaluation of matcha particle size and the ratio of tea polyphenols to free amino acids (P/F ratio). The study compared different variable selection algorithms and proposed the hybridization of interval combination population analysis (ICPA) and competitive adaptive reweighted sampling (CARS) for selecting characteristic wavelengths to build partial least squares (PLS) models. The results showed that the ICPA-CARS-PLS models performed well in evaluating matcha particle size (Rp = 0.9376) and P/F ratio (Rp = 0.9283), demonstrating the significance of rapid, effective, and nondestructive online monitoring using Vis-NIR reflectance spectroscopy and chemometric models in matcha production.

FOOD CHEMISTRY (2023)

Article Chemistry, Applied

Facile synthesis of fluorescence-SERS dual-probe nanocomposites for ultrasensitive detection of sulfur-containing gases in water and beer samples

Afang Zhu, Shujat Ali, Tianhui Jiao, Zhen Wang, Yi Xu, Qin Ouyang, Quansheng Chen

Summary: A highly structured fluorescent-SERS dual-probe nanocomposite was synthesized for the determination of sulfur-containing gases in water and beer samples. The nanocomposite was prepared by growing an Ag shell on an Au core, modifying with a surfactant and Zn2+, and assembling with MOF-5-NH2 through coordination. The system offered a precise detection of H2S/SO2 in food/environmental settings, with a ultra-low detection limit of 2.26 nM.

FOOD CHEMISTRY (2023)

Article Chemistry, Applied

On-line monitoring of total sugar during kombucha fermentation process by near-infrared spectroscopy: Comparison of linear and non-linear multiple calibration methods

Songguang Zhao, Selorm Yao-Say Solomon Adade, Zhen Wang, Jizhong Wu, Tianhui Jiao, Huanhuan Li, Quansheng Chen

Summary: In this study, near-infrared (NIR) spectroscopy combined with partial least squares (PLS), backpropagation neural network (BPANN), and their combination (PLS-BPANN) were used to monitor the total sugar content of kombucha. A total of 16 mathematical models were constructed and evaluated. The results showed that the PLS-BPANN model outperformed others, with a determination coefficient (R2p) of 0.9437 and a root mean square error of prediction (RMSEP) of 0.8600 g/L, indicating good verification results. The findings suggest that NIR coupled with PLS-BPANN can be a nondestructive and online technique for monitoring total sugar changes.

FOOD CHEMISTRY (2023)

Article Chemistry, Analytical

Identification of procymidone in rapeseed oils based on olfactory visualization technology

Mingxing Zhao, Hui Jiang, Quansheng Chen

Summary: A new method based on olfactory visualization technology is proposed for qualitative identification of pesticide residues in edible oil. Suitable chemical dyes were selected to prepare sensor arrays, which were used to gather volatile odor information in rapeseed oil samples. The olfactory information was then translated into a visual representation and subjected to principal component analysis for dimensionality reduction. Three different models, SVM, RF, and KELM, were constructed based on the sensor image features for analysis.

MICROCHEMICAL JOURNAL (2023)

Article Chemistry, Analytical

Polydimethylsiloxane assisted surface-enhanced Raman spectroscopy for Staphylococcus aureus detection based on aptamer recognition

Afang Zhu, Shujat Ali, Zhen Wang, Tianhui Jiao, Qin Ouyang, Quansheng Chen

Summary: A highly structured SERS biosensor was developed for the detection of Staphylococcus aureus. The biosensor utilized a chemically modified PDMS film as the SERS substrate, with self-assembled Au@Ag NPs for enhancing detection sensitivity. The bacterial surface was covered with Au@Ag NPs, resulting in more hot spots for improved detection. The biosensor achieved an ultra-low detection response of 16 cfu/mL and showed satisfactory results in the detection of S. aureus in tap water, milk, and fish samples.

MICROCHEMICAL JOURNAL (2023)

Article Chemistry, Analytical

Determination of active constituents in kombucha fermentation broth using nano-composite colorimetric sensor based on selected volatile markers determined by GC-MS

Wencui Kang, Hao Lin, Waqas Ahmad, Huanhuan Li, Quansheng Chen

Summary: A nano-composite colorimetric sensor array coupled with near infrared spectroscopy was developed for the determination of active constituents. The sensor array, composed of chemically responsive dyes doped metal-organic frameworks, showed sensitive interaction with different volatile markers. Chemometric methods were used to separate kombucha broth samples with different fermentation times, enabling the estimation of the chemical and physical properties of tea fermentation broth.

MICROCHEMICAL JOURNAL (2023)

Review Chemistry, Analytical

SERS-activated platforms for chemical contaminants in food: Probes, encoding methods, and detection

Huanhuan Li, Suleiman A. Haruna, Wei Sheng, Qiyi Bei, Waqas Ahmad, Muhammad Zareef, Quansheng Chen, Zhen Ding

Summary: This review evaluates the progress of SERS-based sensors in detecting and monitoring chemical pollutants in food. Significant advancements have been made in the last decade, and factors leading to improved SERS performance are discussed. The review also summarizes the theory and application of label-free SERS-based sensors.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2023)

暂无数据