1
|
Lu J, Wang L. Multiple electromagnet synergistic control enabled fast and automatic biosensing of Salmonella in a sealed microfluidic chip. Biosens Bioelectron 2023; 237:115459. [PMID: 37392491 DOI: 10.1016/j.bios.2023.115459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/02/2023] [Accepted: 06/08/2023] [Indexed: 07/03/2023]
Abstract
Point-of-care testing of pathogens is vital for prevention of food poisoning. Herein, a colorimetric biosensor was elaborately developed to rapidly and automatically detect Salmonella in a sealed microfluidic chip with one central chamber for housing immunomagnetic nanoparticles (IMNPs), bacterial sample and immune manganese dioxide nanoclusters (IMONCs), four functional chambers for housing absorbent pad, deionized water and H2O2-TMB substrate, and four symmetric peripheral chambers for achieving fluidic control. Four electromagnets were placed under peripheral chambers and synergistically controlled to manipulate their respective iron cylinders at the top of these chambers for deforming these chambers, resulting in precise fluidic control with designated flowrate, volume, direction and time. First, the electromagnets were automatically controlled to mix IMNPs, target bacteria and IMONCs, resulting in the formation of IMNP-bacteria-IMONC conjugates. Then, these conjugates were magnetically separated by a central electromagnet and the supernatant was directionally transferred to the absorbent pad. After these conjugates were washed by deionized water, the H2O2-TMB substrate was directionally transferred to resuspend the conjugates and catalyzed by the IMONCs with peroxidase-mimic activity. Finally, the catalysate was directionally transferred back to its initial chamber, and its color was analyzed by the smartphone APP to determinate bacterial concentration. This biosensor could detect Salmonella quantitatively and automatically in 30 min with a low detection limit of 101 CFU/mL. More importantly, the whole bacterial detection procedure from bacterial separation to result analysis was achieved on a sealed microfluidic chip through multiple electromagnet synergistic control, and this biosensor has great potential for point-of-care testing of pathogens without cross contaminations.
Collapse
Affiliation(s)
- Jialin Lu
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100083, China
| | - Lei Wang
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100083, China.
| |
Collapse
|
2
|
Lu Y, Chen R, Dong Y, Zhao W, Ruan S, Yang W, Chen Y, Wang C. Magnetic relaxation switching immunoassay based on "limited-magnitude" particles for sensitive quantification of aflatoxin B 1. Anal Chim Acta 2023; 1266:341329. [PMID: 37244666 DOI: 10.1016/j.aca.2023.341329] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/29/2023]
Abstract
Aflatoxin B1 (AFB1) is a highly toxic and carcinogenic chemical substance that endangers food safety and human health. Magnetic relaxation switching (MRS) immunosensors are utilized in a variety of applications in food analysis due to its resistance to matrix interferences, but they often suffer from magnetic separation-based multi-washing steps and low sensitivity. Herein, we propose novel MRS strategy for the sensitive detection of AFB1 using "Limited-Magnitude" size particles: a single millimeter sized polystyrene spheres (PSmm) and 150 nm superparamagnetic nanoparticles (MNP150). Only a single PSmm is used as the microreactor to enhance all of the magnetic signal on its surface in high concentration by an immune competitive response, successfully preventing signal dilution, which can be transferred by pipette, simplifying the process of separation and washing. The established single polystyrene sphere magnetic relaxation switch biosensor (SMRS) was able to quantify AFB1 from 0.02 to 200 ng/mL with a detection limit of 14.3 pg/mL. SMRS biosensor has been successfully used for the detection of AFB1 in wheat and maize samples, and the results in agreement with high performance liquid chromatography-tandem mass spectrometry (HPLC-MS). Benefiting from high sensitivity and convenient operation, the simple and enzyme-free method is promising in trace small molecules applications.
Collapse
Affiliation(s)
- Yingying Lu
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Rui Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Yongzhen Dong
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Weiqi Zhao
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Shilong Ruan
- Daye Public Inspection and Test Center, Daye, 435100, Hubei, China
| | - Weihai Yang
- Qingdao Customs District PR China, Qingdao, 266005, Shandong, China
| | - Yiping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China; Shenzhen Institute of Food Nutrition and Health, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - Chengming Wang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| |
Collapse
|
3
|
Li L, Hong F, Pan S, Ren L, Xiao R, Liu P, Li N, Wang J, Chen Y. "Lollipop" particle counting immunoassay based on antigen-powered CRISPR-Cas12a dual signal amplification for the sensitive detection of deoxynivalenol in the environment and food samples. JOURNAL OF HAZARDOUS MATERIALS 2023; 455:131573. [PMID: 37182461 DOI: 10.1016/j.jhazmat.2023.131573] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/29/2023] [Accepted: 05/02/2023] [Indexed: 05/16/2023]
Abstract
Deoxynivalenol is one of the most widely distributed mycotoxins in cereals and poses tremendous threats to the agricultural environment and public health. Therefore, it is particularly important to develop sensitive and interference-resistant deoxynivalenol analysis methods. Here, we establish a "Lollipop" particle counting immunoassay (LPCI) based on antigen-powered CRISPR-Cas12a dual signal amplification. LPCI achieves high sensitivity and accuracy through antigen-powered CRISPR-Cas dual signal amplification combined with particle counting immunoassay. This strategy not only broadens the applicability of the CRISPR-Cas system in the field of non-nucleic acid target detection; it also improves the sensitivity of particle counting immunoassay. The introduction of a polystyrene "lollipop" immunoassay carrier further enables efficiently simultaneous pre-treatment of multiple samples and overcomes complex matrix interference in real samples. The linear detection range of LPCI for deoxynivalenol was 0.1-500 ng/mL with a detection limit of 0.061 ng/mL. The platform greatly broadens the scope of the CRISPR-Cas sensor for the detection of non-nucleic acid hazards in the environment and food samples.
Collapse
Affiliation(s)
- Letian Li
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070 Hubei, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642 Guangdong, China
| | - Feng Hong
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070 Hubei, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642 Guangdong, China
| | - Shixing Pan
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070 Hubei, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642 Guangdong, China
| | - Liangqiong Ren
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070 Hubei, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642 Guangdong, China
| | - Ruiheng Xiao
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070 Hubei, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642 Guangdong, China
| | - Puyue Liu
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070 Hubei, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642 Guangdong, China
| | - Nan Li
- Daye Public Inspection and Test Center, Daye 435100 Hubei, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100 Shaanxi, China
| | - Yiping Chen
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070 Hubei, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642 Guangdong, China; Daye Public Inspection and Test Center, Daye 435100 Hubei, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen, China.
| |
Collapse
|
4
|
Deshmukh S, Pawar K, Koli V, Pachfule P. Emerging Graphitic Carbon Nitride-based Nanobiomaterials for Biological Applications. ACS APPLIED BIO MATERIALS 2023; 6:1339-1367. [PMID: 37011107 DOI: 10.1021/acsabm.2c01016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Graphitic carbon nitride (g-CN) based nanostructures are distinctive materials with unique compositional, structural, optical, and electronic properties with exceptional band structure, moderate surface area, and exceptional thermal and chemical stability. Because of these properties, g-CN based nanomaterials have shown promising applications and higher performance in the biological avenue. This review covers the state-of-the-art synthetic strategies used for the preparation of the materials, the basic structure, and a panorama of different optimization strategies leading to improved physicochemical properties responsible for the biological application. The following sections include the recent progress in the use of g-CN based nanobiomaterials for biosensors, bioimaging, photodynamic therapy, drug delivery, chemotherapy, and the antimicrobial segment. Furthermore, we have summarized the role and evaluation of biosafety and biocompatibility of the material. Finally, the unresolved issues, plausible challenges, current status, and future perspectives for the development and design of g-CN have been summarized and are expected to promote a clinical path for the medical sector and human well-being.
Collapse
Affiliation(s)
- Shamkumar Deshmukh
- Department of Chemistry, Damani Bhairuratan Fatechand, Dayanand College of Arts and Science, Solapur 413002, India
| | - Krishna Pawar
- School of Nanoscience and Technology, Shivaji University, Kolhapur 416004, India
| | - Valmiki Koli
- Department of Physics, National Dong Hwa University, Shou-Feng, Hualien 97401, Taiwan
| | - Pradip Pachfule
- Department of Chemical and Biological Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata 700106, India
| |
Collapse
|
5
|
Zhou Y, Zhao W, Feng Y, Niu X, Dong Y, Chen Y. Artificial Intelligence-Assisted Digital Immunoassay Based on a Programmable-Particle-Decoding Technique for Multitarget Ultrasensitive Detection. Anal Chem 2023; 95:1589-1598. [PMID: 36571573 DOI: 10.1021/acs.analchem.2c04703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The development of a multitarget ultrasensitive immunoassay is significant to fields such as medical research, clinical diagnosis, and food safety inspection. In this study, an artificial intelligence (AI)-assisted programmable-particle-decoding technique (APT)-based digital immunoassay system was developed to perform multitarget ultrasensitive detection. Multitarget was encoded by programmable polystyrene (PS) microspheres with different characteristics (particle size and number), and subsequent visible signals were recorded under an optical microscope after the immune reaction. The resultant images were further analyzed using a customized, AI-based computer vision technique to decode the intrinsic properties of polystyrene microspheres and to reveal the types and concentrations of targets. Our strategy has successfully detected multiple inflammatory markers in clinical serum and antibiotics with a broad detection range from pg/mL to μg/mL without extra signal amplification and conversion. An AI-based digital immunoassay system exhibits great potential to be used for the next generation of multitarget detection in disease screening for candidate patients.
Collapse
Affiliation(s)
- Yang Zhou
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.,College of Engineering, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Weiqi Zhao
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Yaoze Feng
- College of Engineering, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Xiaohu Niu
- College of Engineering, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Yongzhen Dong
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Yiping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.,Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518120, Guangdong, China
| |
Collapse
|
6
|
Novel bioorthogonal reaction-mediated particle counting sensing platform using phage for rapid detection of Salmonella. Anal Chim Acta 2022; 1236:340564. [DOI: 10.1016/j.aca.2022.340564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/18/2022] [Accepted: 10/27/2022] [Indexed: 11/21/2022]
|
7
|
Li X, Wei L, Nie R, Wang Z, Huang W, Liu J, Zhang X, Chen Y. Integrating magnetic metal-organic frameworks-based sample preparation with microchannel resistance biosensor for rapid and quantitative detection of aflatoxin B 1. JOURNAL OF HAZARDOUS MATERIALS 2022; 438:129425. [PMID: 35785736 DOI: 10.1016/j.jhazmat.2022.129425] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 06/13/2022] [Accepted: 06/18/2022] [Indexed: 06/15/2023]
Abstract
Aflatoxin B1, a secondary metabolite produced by fungi, is one of the most toxic mycotoxins that poses a major food security and public health threat worldwide. Effective sample pretreatment and high sensitivity detection techniques are urgently needed due to its trace amount in complex samples. Herein, an integrated detection strategy was developed by combining Mg/Zn-metal organic framework-74 modified Fe3O4 magnetic nanoparticles (Mg/Zn-MOF-74 @Fe3O4 MNPs)-based sample preparation and microchannel resistance biosensor for rapid and highly sensitive detection of aflatoxin B1 in food samples. The synthesis and characterization of Mg/Zn-MOF-74 @Fe3O4 MNPs was reported, which exhibited efficient separation and enrichment capacity when exposed to complex grain samples. The competitive immunoassay-based microchannel resistance biosensor enabled specific and high-sensitive analysis of aflatoxin B1 by using current as a readout, which caused by the blocking effect between the functionalized-polystyrene microspheres and microchannel. Under optimized conditions, this biosensor was capable to quantitatively analysis aflatoxin B1 from 10 pg/mL to 20 ng/mL, and with a limit of detection of 4.75 pg/mL. This integrated detection strategy has been tested for the quantitative detection of aflatoxin B1 in grain samples that is a potential protocol for food safety control and environmental monitoring.
Collapse
Affiliation(s)
- Xiaohan Li
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Luyu Wei
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Rongbin Nie
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Zhilong Wang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Wei Huang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Jiawei Liu
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiya Zhang
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
| | - Yiping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, Guangdong, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
| |
Collapse
|
8
|
Ren L, Feng W, Hong F, Wang Z, Huang H, Chen Y. One-step homogeneous micro-orifice resistance immunoassay for detection of chlorpyrifos in orange samples. Food Chem 2022; 386:132712. [PMID: 35339078 DOI: 10.1016/j.foodchem.2022.132712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 02/28/2022] [Accepted: 03/13/2022] [Indexed: 11/19/2022]
Abstract
In this work, a one-step homogeneous micro-orifice resistance immunoassay has been proposed for chlorpyrifos detection by integrating functionalized polystyrene (PS) microsphere probes with particle counting technology. The particle counter is highly sensitive and accurate for detecting the state of PS microspheres, where the particles of different states exhibit significant differences in resistance. The state of the functionalized PS microspheres is altered from dispersed to aggregated during the antigen-antibody recognition. Based on the degree of aggregation of the functionalized PS microsphere probes, chlorpyrifos can be quantitatively detected through the competitive immune response between PS antibodies and PS complete antigens. This one-step homogeneous micro-orifice resistance immunoassay simplified the procedures and greatly increased the sensitivity of detection, which has been successfully applied to detect chlorpyrifos in orange samples within 0.5 h, with the detection limit of 0.058 ng/mL.
Collapse
Affiliation(s)
- Liangqiong Ren
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China.
| | - Wanxian Feng
- College of Engineering, Huazhong Agricultural University, Wuhan 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China
| | - Feng Hong
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
| | - Zhilong Wang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China; Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Science, Shenzhen, China.
| | - Hanying Huang
- College of Engineering, Huazhong Agricultural University, Wuhan 430070, China.
| | - Yiping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China; Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Science, Shenzhen, China.
| |
Collapse
|
9
|
Hu X, Cheng X, Wang Z, Zhao J, Wang X, Yang W, Chen Y. Multiplexed and DNA amplification-free detection of foodborne pathogens in egg samples: Combining electrical resistance-based microsphere counting and DNA hybridization reaction. Anal Chim Acta 2022; 1228:340336. [DOI: 10.1016/j.aca.2022.340336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/22/2022] [Accepted: 08/27/2022] [Indexed: 11/01/2022]
|
10
|
Chen R, Mao Z, Lu R, Wang Z, Hou Y, Zhu W, Li S, Ren S, Han D, Liang J, Gao Z. Simple and programmed three-dimensional DNA tweezer for simultaneous one-step detection of ochratoxin A and zearalenone. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 272:120991. [PMID: 35182923 DOI: 10.1016/j.saa.2022.120991] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 01/18/2022] [Accepted: 01/31/2022] [Indexed: 06/14/2023]
Abstract
Three-dimensional (TD) deoxyribonucleic acid (DNA) tweezers were programmed for one-step identification and detection of ochratoxin A (OTA) and zearalenone (ZEN). The unfolding of the TD-DNA tweezers by aptamers specific to these two mycotoxins "turned" the fluorescent signals "on." The bonding of the aptamers to their corresponding targets in OTA and ZEN "turned" the fluorescent signals and the DNA tweezers "off." The detection limit of the TD-DNA tweezers for OTA and ZEN was 0.032 and 0.037 ng mL-1, respectively. The feasibility of this method was tested using two samples. Detection via this method increased the recovery of OTA and ZEN from 95.8% to 110.2%. Spike recovery and certified food products were used to detect applicability in actual situations. Analyte detection in complex samples using TD-DNA tweezers is rapid, as the process involves a single operational step. This proposed design has considerable potential for application in mycotoxin detection.
Collapse
Affiliation(s)
- Ruipeng Chen
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China; State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Zefeng Mao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China; State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Ran Lu
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China; State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Zhiguang Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Yue Hou
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Wenyan Zhu
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Shuang Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Shuyue Ren
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Dianpeng Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
| | - Jun Liang
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China.
| | - Zhixian Gao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
| |
Collapse
|
11
|
Chen R, Dong Y, Hong F, Zhang X, Wang X, Wang J, Chen Y. Polydopamine nanoparticle-mediated, click chemistry triggered, microparticle-counting immunosensor for the sensitive detection of ochratoxin A. JOURNAL OF HAZARDOUS MATERIALS 2022; 428:128206. [PMID: 35033914 DOI: 10.1016/j.jhazmat.2021.128206] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 12/23/2021] [Accepted: 12/30/2021] [Indexed: 06/14/2023]
Abstract
A rapid and accurate detection method is needed for the quantitation of ochratoxin A in agricultural products due to its high toxicity. A microparticle-counting immunosensor based on polydopamine nanoparticle-mediated click chemistry was established for the highly-sensitive detection of ochratoxin A. Polydopamine nanoparticles with good biocompatibility and a strong metal-chelating ability were synthesized and conjugated with the antibody. The Coupled compounds were then used as an immune carrier to change the Cu2+ concentration via an immuno-reaction. Some of the remaining Cu2+ ions were reduced to Cu+ ions, which caused azide-polystyrene microspheres and alkyne-polystyrene microspheres to aggregate via a Cu+ ion-mediated click reaction. Particle counting was used to distinguish changes in the sizes of the polystyrene microspheres from dispersed to aggregated to detect ochratoxin A. It showed a wide linear detection range of 0.5-800 ng/mL, and a detection limit of 0.2 ng/mL. This assay provides an attractive analytical tool for the accurate detection of trace targets in complex samples.
Collapse
Affiliation(s)
- Rui Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Yongzhen Dong
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Feng Hong
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Xiya Zhang
- College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, Henan 450002, China
| | - Xiaohong Wang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Jia Wang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Yiping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Hongshan Laboratory, Wuhan, Hubei 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China.
| |
Collapse
|
12
|
Wang Z, Wei L, Zeng L, Feng N, Chen J, Chen Y. Click Chemistry-Mediated Particle Counting Sensing via Cu(II)-Polyglutamic Acid Coordination Chemistry and Enzymatic Reaction. Anal Chem 2022; 94:5293-5300. [PMID: 35319873 DOI: 10.1021/acs.analchem.1c05127] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
An electrical resistance-based particle counter (ERPC) with simple operation and high resolution has proved to be a promising biosensing toolkit, whereas amplification-free ERPC biosensors are incapable of analyzing trace small molecules due to their relatively low sensitivity. In this work, click chemistry-mediated particle counting sensing of small-molecule hazards in food samples with high sensitivity was developed. In this strategy, unbound alkyne-functionalized polystyrene microspheres were collected by magnetic separation from the copper-ion-mediated click reaction between alkyne-functionalized polystyrene microspheres and azido-functionalized magnetic beads, which could be used as signal probes for the readout. This click chemistry-mediated ERPC biosensor converts the detection of targets to the quantification of copper ions or ascorbic acid by performing competitive immunoassay-based coordination chemistry and enzymatic reaction, respectively. The sensitivity of the ERPC biosensor has been improved by an order of magnitude due to the signal amplification effects of click chemistry, coordination adsorption, and enzyme catalysis. Furthermore, because of the efficient separation and enrichment of immunomagnetic beads and the robustness of click chemistry, the interference from food matrixes and immunoassay is effectively reduced, and thus, our strategy is exceedingly suitable for detecting trace targets in complex samples.
Collapse
Affiliation(s)
- Zhilong Wang
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070, China
| | - Luyu Wei
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070, China
| | - Lingwen Zeng
- Wuhan Zhongke Zhikang Biological Technology Co., Ltd., Gaoxin Avenue, East Lake High-tech Zone, Wuhan 430074, China
| | - Niu Feng
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070, China
| | - Jianjun Chen
- Wuhan Shangcheng Biotechnology Co., Ltd., Gaoxin Avenue, East Lake New Technology Development Zone, Wuhan 430063, China
| | - Yiping Chen
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan 430070, China.,Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Pengfei Road, Dapeng District, Shenzhen 518120, China
| |
Collapse
|
13
|
Lee D, Kim E, Lee KW, Kim KR, Chun HJ, Yoon H, Yoon HC. Retroreflection-based sandwich type affinity sensing of isothermal gene amplification products for foodborne pathogen detection. Analyst 2022; 147:450-460. [PMID: 34985468 DOI: 10.1039/d1an01543e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Loop-mediated isothermal amplification (LAMP) is an outstanding method for molecular diagnostics, as the rapid, specific, and sensitive amplification of target genes is possible. However, it is necessary to measure fluorescence in the quantitative analysis of LAMP products, so a sophisticated optical setup is required. This study tried to develop a novel sensing method that can quantify target analytes with simple equipment, such as nonspectroscopic white light and a CMOS camera. To achieve this, a retroreflective Janus particle (RJP) as a probe and specially designed loop primers, fluorescein isothiocyanate (FITC)- and biotin-modified loop primers, were introduced into the LAMP system. By performing LAMP in the presence of designed primers, double-stranded amplicons possessing FITC and biotin labels at each end are generated in proportion to the quantity of the target pathogen. Using the anti-FITC antibody-modified sensing surface and streptavidin-conjugated RJP probes, the amplicons can be captured in sandwich-configuration and detected under nonspectroscopic conditions composed of white light and a camera. To confirm the feasibility of the sensing system, the invA gene of Salmonella was selected as the target. It was possible to quantitatively analyze the Salmonella concentration from 0 to 106 colony-forming units, sufficiently covering the required detection range. In addition, quantitative analyses of pathogens in contaminated food sources, including milk and chicken meat, were successfully conducted with a limit of detection of 10 CFU.
Collapse
Affiliation(s)
- Danbi Lee
- Department of Molecular Science & Technology, Ajou University, Suwon 16499, Republic of Korea.
| | - Eunsuk Kim
- Department of Molecular Science & Technology, Ajou University, Suwon 16499, Republic of Korea.
| | - Kyung Won Lee
- Department of Molecular Science & Technology, Ajou University, Suwon 16499, Republic of Korea.
| | - Ka Ram Kim
- Department of Molecular Science & Technology, Ajou University, Suwon 16499, Republic of Korea.
| | - Hyeong Jin Chun
- Department of Molecular Science & Technology, Ajou University, Suwon 16499, Republic of Korea.
| | - Hyunjin Yoon
- Department of Molecular Science & Technology, Ajou University, Suwon 16499, Republic of Korea.
| | - Hyun C Yoon
- Department of Molecular Science & Technology, Ajou University, Suwon 16499, Republic of Korea.
| |
Collapse
|
14
|
He H, Nie R, Lu P, Peng X, Li X, Chen Y. Low-Cost and Convenient Microchannel Resistance Biosensing Platform by Directly Translating Biorecognition into a Current Signal. Anal Chem 2021; 93:15049-15057. [PMID: 34726904 DOI: 10.1021/acs.analchem.1c03006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
We report a low-cost and convenient microchannel resistance (MCR) biosensing platform that uses current signal to report biorecognition. The biorecognition behavior between targets and biometric molecules (antigens, antibodies, or oligonucleotides) immobilized on magnetic beads and polystyrene (PS) microspheres induces a quantitative change in the unreacted PS microspheres. After magnetic separation, the unreacted PS microsphere solution is passed through the microchannel, leading to an obvious blocking effect, resulting in an increase in resistance, which can in turn be measured by monitoring the electric current. Thus, the biorecognition is directly converted into a detectable current signal without any bulky instruments or additional chemical reactions. The MCR biosensing platform is cost-effective and user-friendly with high accuracy. It can be an appropriate analysis technique for point-of-care testing in resource-poor settings.
Collapse
Affiliation(s)
- Huiyu He
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.,Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China
| | - Rongbin Nie
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.,Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China
| | - Peng Lu
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Xuewen Peng
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiaohan Li
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Yiping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.,Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China.,Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| |
Collapse
|