1
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Cheng Y, Yin X, Li Y, Wang S, Xue S, Wu Q, Wang J, Zhang D. Multiple-readout lateral flow immunoassay for the sensitive detection of nitrofurazone metabolites through ultrabright AIE-MOF coupled in-situ growth strategy. Biosens Bioelectron 2024; 262:116556. [PMID: 38996596 DOI: 10.1016/j.bios.2024.116556] [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: 02/18/2024] [Revised: 05/07/2024] [Accepted: 07/03/2024] [Indexed: 07/14/2024]
Abstract
The multiple-readout capability of multimodal detection enhances the flexibility, reliability, and accuracy of lateral flow immunoassay (LFIA). The conjugation of two different metal-organic frameworks (MOFs) as a new-generation composite material offers extraordinary opportunities for developing multimodal LFIA. It is anticipated to compensate limitations of traditional single colorimetric signal LFIA and improve the analysis performance. Herein, an ultra-bright fluorescent AIE-MOF was proposed and coupled with an in-situ growth of Prussian blue (PB) nanoparticles strategy to obtain a novel multimodal signal tracer (AIE-MOF@PB). Thereafter, it was successfully applied to develop the multimodal LFIA platform for the detection of nitrofurazone metabolites. The synergy of AIE-MOF and PB endows AIE-MOF@PB with superb water dispersibility, robust fluorescence emission, brilliant colorimetric signal, marvelous photothermal conversion, and enhanced antibody coupling efficiency, all of which facilitate a highly sensitive triple-readout LFIA platform. The detection sensitivity improved by at least 5-fold compared with the colloidal gold-based LFIA. This work not only inspires the rational design of aggregation-induced emission luminogens (AIEgen)-based complex materials but also highlights the promising potential in flexible point-of-care applications.
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Affiliation(s)
- Yuanyuan Cheng
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Xuechi Yin
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yuechun Li
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Shaochi Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Shouyu Xue
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Qiaoying Wu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China; College of Food Engineering, Ludong University, Yantai, 264025, Shandong, China; Bio-Nanotechnology Research Institute, Ludong University, Yantai, 264025, Shandong, China.
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2
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Jiang H, Chang W, Zhu X, Liu G, Liu K, Chen W, Wang H, Qin P. Development of a Colorimetric and SERS Dual-Signal Platform via dCas9-Mediated Chain Assembly of Bifunctional Au@Pt Nanozymes for Ultrasensitive and Robust Salmonella Assay. Anal Chem 2024; 96:12684-12691. [PMID: 39037392 DOI: 10.1021/acs.analchem.4c01474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2024]
Abstract
Timely screening for harmful pathogens is a great challenge in emergencies where traditional culture methods suffer from long assay time and alternative methods are limited by poor accuracy and low robustness. Herein, we present a dCas9-mediated colorimetric and surface-enhanced Raman scattering (SERS) dual-signal platform (dCas9-CSD) to address this challenge. Strategically, the platform used dCas9 to accurately recognize the repetitive sequences in amplicons produced by loop-mediated isothermal amplification (LAMP), forming nucleic acid frameworks that assemble numerous bifunctional gold-platinum (Au@Pt) nanozymes into chains on the surface of streptavidin-magnetic beads (SA-MB). The collected Au@Pt converted colorless 3,3',5,5'-tetramethylbenzidine (TMB) to blue oxidized TMB (oxTMB) via its Pt shell and then enhanced the Raman signal of oxTMB by its Au core. Therefore, the presence of Salmonella could be dexterously converted into cross-validated colorimetric and SERS signals, providing more reliable conclusions. Notably, dCas9-mediated secondary recognition of amplicons reduced background signal caused by nontarget amplification, and two-round signal amplification consisting of LAMP reaction and Au@Pt catalysis greatly improved the sensitivity. With this design, Salmonella as low as 1 CFU/mL could be detected within 50 min by colorimetric and SERS modes. The robustness of dCas9-CSD was further confirmed by various real samples such as lake water, cabbage, milk, orange juice, beer, and eggs. This work provides a promising point-of-need tool for pathogen detection.
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Affiliation(s)
- Han Jiang
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, PR China
| | - Wei Chang
- Department of Toxicology, Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, School of Public Health, Anhui Medical University, Hefei 230032, PR China
| | - Xiaofan Zhu
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, PR China
| | - Gang Liu
- Environmental Protection Monitoring Station, Anhui Provincial Lake Chaohu Administration, Chaohu 238000, PR China
| | - Kaiyong Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, PR China
| | - Wei Chen
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui 230009, PR China
| | - Hua Wang
- Department of Toxicology, Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, School of Public Health, Anhui Medical University, Hefei 230032, PR China
| | - Panzhu Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, PR China
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3
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Yin L, Cai J, Ma L, You T, Arslan M, Jayan H, Zou X, Gong Y. Dual function of magnetic nanocomposites-based SERS lateral flow strip for simultaneous detection of aflatoxin B1 and zearalenone. Food Chem 2024; 446:138817. [PMID: 38401299 DOI: 10.1016/j.foodchem.2024.138817] [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: 12/18/2023] [Revised: 02/15/2024] [Accepted: 02/19/2024] [Indexed: 02/26/2024]
Abstract
Aflatoxin B1 (AFB1) and zearalenone (ZEN) are two mycotoxins that often co-occur in corn. A surface-enhanced Raman scattering-based lateral flow immunoassay (SERS-LFIA) that can simultaneously detect AFB1 and ZEN in corn samples was developed employing the core-interlayer-satellite magnetic nanocomposites (Fe3O4@PEI/AuMBA@AgMBA) as dual-functional SERS tags. Under the optimal conditions, the detection ranges of AFB1 and ZEN in corn samples were 0.1-10 μg/kg and 4-400 μg/kg, respectively. Moreover, the test results for two mycotoxins in contaminated corn samples employing the suggested SERS-LFIA was in line with those of the HPLC technique. In view of its satisfactory sensitivity, accuracy, precision and short testing time (20 min), the developed system has a promising application prospect in the on-site simultaneous detection of AFB1 and ZEN.
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Affiliation(s)
- Limei Yin
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China; China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
| | - Jianrong Cai
- China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Lixin Ma
- China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Tianyan You
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Muhammad Arslan
- China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Heera Jayan
- China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Xiaobo Zou
- China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Yunyun Gong
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK.
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Wang Y, Jing Y, Cao J, Sun Y, Guo K, Chen X, Li Z, Shi Q, Hu X. Application of Surface-Enhanced Raman Spectroscopy Combined with Immunoassay for the Detection of Adrenoceptor Agonists. Foods 2024; 13:1805. [PMID: 38928747 PMCID: PMC11202903 DOI: 10.3390/foods13121805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 06/05/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024] Open
Abstract
Rapid, sensitive, and accurate detection of adrenoceptor agonists is a significant research topic in the fields of food safety and public health. Immunoassays are among the most widely used methods for detecting adrenoceptor agonists. In recent years, surface-enhanced Raman spectroscopy combined with immunoassay (SERS-IA) has become an effective technique for improving detection sensitivity. This review focuses on the innovation of Raman reporter molecules and substrate materials for the SERS-IA of adrenoceptor agonists. In addition, it also investigates the challenges involved in potentially applying SERS-IA in the detection of adrenoceptor agonists. Overall, this review provides insight into the design and application of SERS-IA for the detection of adrenoceptor agonists, which is critical for animal-derived food safety and public health.
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Affiliation(s)
- Yao Wang
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Yubing Jing
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Jinbo Cao
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
- Henan Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Yingying Sun
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Kaitong Guo
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
- Henan Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Xiujin Chen
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Zhaozhou Li
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Qiaoqiao Shi
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, China;
| | - Xiaofei Hu
- Henan Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
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Tian Y, Yin X, Li J, Dou L, Wang S, Jia C, Li Y, Chen Y, Yan S, Wang J, Zhang D. A dual-mode lateral flow immunoassay by ultrahigh signal-to background ratio SERS probes for nitrofurazone metabolites ultrasensitive detection. Food Chem 2024; 441:138374. [PMID: 38219366 DOI: 10.1016/j.foodchem.2024.138374] [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: 08/28/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 01/16/2024]
Abstract
In this work, an ultra-sensitive lateral flow immunoassay (LFIA) with SERS/colorimetric dual signal mode was constructed for the detection of nitrofurazone metabolites, an antibiotic prohibited in animal-origin foods. Au@4-MBN@AgNRs nano-sandwich structural signal tag integrates the unique advantages of high signal-to-background ratio and anti-matrix interference through geometric control of SERS tag and nanoengineering adjustment of chemical composition. Under the optimal conditions, the detection limits of nitrofurazone metabolites by SERS/colorimetric dual-mode LFIA were 20 pg/mL (colorimetric mode) and 0.08 pg/mL (SERS mode). Excitingly, the vLOD of the colorimetric signal improved by a factor of 100 compared to Au NPs-based LFIA. In this study, the proposed dual-mode LFIA was successfully applied to the on-site real-time detection of honey, milk powder, and chicken. It is anticipated that with low background interference and anti-matrix interference output signal, our proposed dual-mode strategy can pave an innovative pathway for the fabrication of a powerful biosensor.
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Affiliation(s)
- Yanli Tian
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Xuechi Yin
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Jiawei Li
- Shandong Marine Resource and Environment Research Institute, Shandong Key Laboratory of Marine Ecological Restoration, No.216 Changjiang Road, Development Zone, Yantai City, Shandong Province, China
| | - Leina Dou
- College of Veterinary Medicine, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China
| | - Shaochi Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Conghui Jia
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Yuechun Li
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Yaqian Chen
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Shengxue Yan
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China.
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6
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Li J, Shen W, Liang X, Zheng S, Yu Q, Wang C, Wang C, Gu B. 2D Film-Like Magnetic SERS Tag with Enhanced Capture and Detection Abilities for Immunochromatographic Diagnosis of Multiple Bacteria. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2310014. [PMID: 38193262 DOI: 10.1002/smll.202310014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/07/2023] [Indexed: 01/10/2024]
Abstract
Here, a multiplex surface-enhanced Raman scattering (SERS)-immunochromatography (ICA) platform is presented using a graphene oxide (GO)-based film-like magnetic tag (GFe-DAu-D/M) that effectively captures and detects multiple bacteria in complex specimens. The 2D GFe-DAu-D/M tag with universal bacterial capture ability is fabricated through the layer-by-layer assembly of one layer of small Fe3O4 nanoparticles (NPs) and two layers of 30 nm AuNPs with a 0.5 nm built-in nanogap on monolayer GO nanosheets followed by co-modification with 4-mercaptophenylboronic acid (MPBA) and 5,5'-dithiobis-(2-nitrobenzoic acid).The GFe-DAu-D/M enabled the rapid enrichment of multiple bacteria by MPBA and quantitative analysis of target bacteria on test lines by specific antibodies, thus achieving multiple signal amplification of magnetic enrichment effect and multilayer dense hotspots and eliminating matrix interference in real-world applications. The developed technology can directly and simultaneously diagnose three major pathogens (Staphylococcus aureus, Pseudomonas aeruginosa, and Salmonella typhimurium) with detection limits down to the level of 10 cells mL-1. The good performance of the proposed method in the detection of real urinary tract infection specimens is also demonstrated, suggesting the great potential of the GFe-DAu-D/M-ICA platform for the highly sensitive monitoring of bacterial infections or contamination.
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Affiliation(s)
- Jiaxuan Li
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
- School of Medicine, South China University of Technology, Guangzhou, 510006, China
| | - Wanzhu Shen
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Xueyan Liang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Shuai Zheng
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Qing Yu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Chaoguang Wang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073, China
| | - Chongwen Wang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
- School of Medicine, South China University of Technology, Guangzhou, 510006, China
| | - Bing Gu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
- School of Medicine, South China University of Technology, Guangzhou, 510006, China
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7
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Wang J, Jiang H, Chen Y, Zhu X, Wu Q, Chen W, Zhao Q, Wang J, Qin P. CRISPR/Cas9-mediated SERS/colorimetric dual-mode lateral flow platform combined with smartphone for rapid and sensitive detection of Staphylococcus aureus. Biosens Bioelectron 2024; 249:116046. [PMID: 38241798 DOI: 10.1016/j.bios.2024.116046] [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: 11/26/2023] [Revised: 01/09/2024] [Accepted: 01/16/2024] [Indexed: 01/21/2024]
Abstract
Pathogenic bacteria infections pose a significant threat to global public health, making the development of rapid and reliable detection methods urgent. Here, we developed a surface-enhanced Raman scattering (SERS) and colorimetric dual-mode platform, termed smartphone-integrated CRISPR/Cas9-mediated lateral flow strip (SCC-LFS), and applied it to the ultrasensitive detection of Staphylococcus aureus (S. aureus). Strategically, functionalized silver-coated gold nanostar (AuNS@Ag) was prepared and used as the labeling material for LFS assay. In the presence of S. aureus, target gene-induced amplicons can be accurately recognized and unwound by the user-defined CRISPR/Cas9 system, forming intermediate bridges that bind many AuNS@Ag to the test line (T-line) of the strip. As a result, the T-line was colored and a recognizable SERS signal was obtained using a smartphone-integrated portable Raman spectrometer. This design not only maintains the simplicity of visual readout, but also integrates the quantitative capability of SERS, enabling the user to flexibly select the assay mode as needed. With this method, S. aureus down to 1 CFU/mL can be detected by both colorimetric and SERS modes, which is better than most existing methods. By incorporating a rapid extraction procedure, the entire assay can be completed in 45 min. The robustness and practicality of the method were further demonstrated by various real samples, indicating its considerable potential toward reliable screening of S. aureus.
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Affiliation(s)
- Junfeng Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China; School of Pharmacy, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Han Jiang
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Yuhong Chen
- School of Pharmacy, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Xiaofan Zhu
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Qian Wu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, Anhui, PR China
| | - Wei Chen
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, Anhui, PR China.
| | - Qihong Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Jie Wang
- School of Pharmacy, Anhui Medical University, Hefei, 230032, Anhui, PR China.
| | - Panzhu Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China.
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Xiao H, Chen W, Lin M, Jiang S, Cui X, Zhao S. Rapid immunoassay for dual-mode detection of HPV16 and HPV18 DNA based on Au@PdPt nanoparticles. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:1862-1869. [PMID: 38463013 DOI: 10.1039/d3ay02307a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Cervical cancer (CC) remains one of the most severe global health challenges affecting women, primarily due to persistent infection with high-risk human papillomavirus (HPV) subtypes, particularly with HPV16 and HPV 18. Effective detection of these high-risk HPV strains is crucial for CC prevention. Current screening programs for HPV DNA include PCR and in situ hybridization, which are accurate and sensitive. However, these approaches demand a high level of expertise, along with expensive instruments and consumables, thus hindering their widespread use. Therefore, there is a compelling demand to develop an efficient, straightforward, and cost-effective method. Herein, we propose a lateral flow immunoassay (LFIA) method based on Au@PdPt nanoparticles for the simultaneous detection and genotyping of HPV16 and HPV18 within 15 min. This innovative approach allows for qualitative assessment by the naked eye and enables semi-quantitative detection through a smartphone. In this study, under optimal conditions, the qualitative visual limits of detection (vLOD) for HPV16 and HPV18 reached 0.007 nM and 0.01 nM, respectively, which were 32-fold and 20-fold more sensitive than conventional AuNPs-LFIA for HPV16 and HPV18, respectively. Meanwhile, semi-quantitative limits of detection (qLOD) for HPV16 and HPV18 were 0.05 nM and 0.02 nM, respectively. In conclusion, our formulated approach represents a significant step forward in HPV detection and genotyping, with the potential to enhance accessibility and effectiveness in the early diagnosis of CC at the point of care and beyond.
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Affiliation(s)
- Huanxin Xiao
- Department of Pharmaceutical Engineering, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.
| | - Weiguang Chen
- Department of Pharmaceutical Engineering, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.
| | - Mingxia Lin
- Department of Pharmaceutical Engineering, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.
| | - Shilin Jiang
- Department of Pharmaceutical Engineering, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.
| | - Xiping Cui
- Department of Pharmaceutical Engineering, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.
| | - Suqing Zhao
- Department of Pharmaceutical Engineering, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.
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9
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Zhu J, Guo G, Liu J, Li X, Yang X, Liu M, Fu C, Zeng J, Li J. One-pot synthesized Au@Pt nanostars-based lateral flow immunoassay for colorimetric and photothermal dual-mode detection of SARS-CoV-2 nucleocapsid antibody. Anal Chim Acta 2024; 1292:342241. [PMID: 38309851 DOI: 10.1016/j.aca.2024.342241] [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: 11/22/2023] [Revised: 01/06/2024] [Accepted: 01/11/2024] [Indexed: 02/05/2024]
Abstract
In addition to confirming virus infection, quantitative identification of the antibodies to severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) also evaluates persons immunity to guide personal protection. However, portable assays for fast and accurate quantification of SARS-CoV-2 antibodies remain challenging. In this work, we synthesized Au@Pt star-like nanoparticles (NPs) quickly and easily by a one-pot wet-chemical approach, allowing the stellate Au core to be partially decorated by Pt nanoshells. The nanoparticles were used as probe in a lateral flow immunoassay (LFIA) that operated in both colorimetric and photothermal dual modes, which could detect the antibodies to the SARS-CoV-2 nucleocapsid (N) protein with high sensitivity. Due to the sharp tips on the external region of nanostars and surface plasmon coupling effect between the Au core and Pt shell, the NIR absorption capacity and photothermal performance of these NPs were exceptional. Under optimal conditions, the colorimetric mode's detection limit for SARS-CoV-2 N protein antibody was 1 ng mL-1, which is significantly lower by 2-order of magnitude compared to commercially available colloidal gold strips. And the detection limit for the photothermal mode was as low as 24.91 pg mL-1, which was approximately 40-fold more sensitive than colorimetric detection. Moreover, the method demonstrated favorable specificity, reproducibility and stability. Finally, the approach was employed for the successful identification of actual serum samples. Therefore, the dual-mode LFIA can be applied for screening and tracking the early immunological reaction to SARS-CoV-2, and it has great promise for clinical application.
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Affiliation(s)
- Jinyue Zhu
- College of Chemistry and Chemical Engineering and State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Gengchen Guo
- College of Chemistry and Chemical Engineering and State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Jianting Liu
- Huangdao Customs of the People's Republic of China, 266580, PR China
| | - Xiang Li
- College of Chemistry and Chemical Engineering and State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Xianning Yang
- College of Chemistry and Chemical Engineering and State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Min Liu
- College of Chemistry and Chemical Engineering and State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Chunhui Fu
- Qingdao Henderson Biological Technology Co., Ltd, Qingdao, 266109, PR China
| | - Jingbin Zeng
- College of Chemistry and Chemical Engineering and State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, 266580, PR China.
| | - Jingwen Li
- College of Chemistry and Chemical Engineering and State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, 266580, PR China.
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10
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Zheng S, Xiao J, Zhang J, Sun Q, Liu D, Liu Y, Gao X. Python-assisted detection and photothermal inactivation of Salmonella typhimurium and Staphylococcus aureus on a background-free SERS chip. Biosens Bioelectron 2024; 247:115913. [PMID: 38091898 DOI: 10.1016/j.bios.2023.115913] [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: 08/31/2023] [Revised: 11/09/2023] [Accepted: 12/03/2023] [Indexed: 01/02/2024]
Abstract
In this study, a background-free surface-enhanced Raman scattering (SERS) chip with a sandwich configuration was fabricated to enable reliable detection and photothermal inactivation of multiple bacteria. The SERS chip consists of a graphene-coated, phenylboronic-modified plasmonic gold substrate (pAu/G/PBA), and two aptamer-functionalized core (gold)-shell (Prussian blue/Poly-L-lysine and 4-mercaptobenzonitrile/polydopamine) SERS tags (Au@PB@PLL@Apt and Au@MB@PDA@Apt). The detection signals rely on the characteristic and nonoverlapping Raman bands of the SERS tags within the Raman-silent region (1800-2800 cm-1), where no background signals from the sample matrix are observed, leading to improved detection sensitivity and accuracy. Considering the relatively large size of bacteria (e.g., micron level), a rapid Raman mapping technique was chosen over conventional point-scan methods to achieve more reliable quantitative analysis of bacteria. This technique involves collecting and analyzing intensity signals of SERS tags from all the scattering points with an average ensemble effect, which is facilitated by the use of Python. As a proof-of-concept, model bacterium of Salmonella typhimurium and Staphylococcus aureus were successfully detected using the SERS chip with a dynamic range of 10-107 CFU/mL. Additionally, the SERS chip demonstrated successful detection of these bacteria in whole blood samples. Moreover, the photothermal effect of pAu/G led to efficient bacteria elimination, achieving approximately 100% eradication. This study integrated a background-free SERS chip with a Python-assisted rapid Raman mapping technique, resulting in a reliable, rapid and accurate method for detecting and eliminating multiple bacteria, which may provide a promising alternative for multiple screening of bacteria in real samples.
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Affiliation(s)
- Shuo Zheng
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Jinru Xiao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Jing Zhang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Qixiu Sun
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Dingbin Liu
- College of Chemistry, Nankai University, Tianjin, 300071, China
| | - Yaqing Liu
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China.
| | - Xia Gao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China.
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11
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Li T, Zhang J, Bu P, Wu H, Guo J, Guo J. Multi-modal nanoprobe-enabled biosensing platforms: a critical review. NANOSCALE 2024; 16:3784-3816. [PMID: 38323860 DOI: 10.1039/d3nr03726f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Nanomaterials show great potential for applications in biosensing due to their unique physical, chemical, and biological properties. However, the single-modal signal sensing mechanism greatly limits the development of single-modal nanoprobes and their related sensors. Multi-modal nanoprobes can realize the output of fluorescence, colorimetric, electrochemical, and magnetic signals through composite nanomaterials, which can effectively compensate for the defects of single-modal nanoprobes. Following the multi-modal nanoprobes, multi-modal biosensors break through the performance limitation of the current single-modal signal and realize multi-modal signal reading. Herein, the current status and classification of multi-modal nanoprobes are provided. Moreover, the multi-modal signal sensing mechanisms and the working principle of multi-modal biosensing platforms are discussed in detail. We also focus on the applications in pharmaceutical detection, food and environmental fields. Finally, we highlight this field's challenges and development prospects to create potential enlightenment.
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Affiliation(s)
- Tong Li
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jiani Zhang
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Pengzhi Bu
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Haoping Wu
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jiuchuan Guo
- University of Electronic Science and Technology of China, Chengdu, China.
| | - Jinhong Guo
- School of Sensing Science and Engineering, Shanghai Jiao Tong, University, Shanghai, China.
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12
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Zhang X, Ding W, Jiao C, Kang X, Liu Z. Ultrasensitive Eu-Based MOF Luminescence Sensor for Clenbuterol Visible Recognition. Inorg Chem 2024; 63:3383-3392. [PMID: 38315637 DOI: 10.1021/acs.inorgchem.3c03941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Clenbuterol (CLB) as an illegal feed additive may cause a great security risk to food safety. However, convenient and efficient detection means for CLB in practical application remain a formidable challenge. Herein, a stable Eu-based organic framework {[H2N(CH3)2]2[Eu2(ttca)2]·H2O}n (compound 1) (H4ttca = [1,1':2',1″-terphenyl]-4,4',4″,5'-tetracarboxylic acid) has been harvested, exhibiting excellent chemical stability and thermal stability. Luminescence investigation reveals that compound 1 can sensitively and selectively detect CLB without being affected by different components from simulated serum and urine (limit detection: 22.7 nM). Furthermore, sensor 1 can also be applicable to CLB recognition in real swine feeds, presenting excellent anti-interference performance. The good cyclicity of compound 1 endows CLB determination with many advantages: low cost, high stability, and simplicity. Importantly, in view of the indication of the luminescence color (red to blue), test membranes were fabricated and employed for convenient and fast CLB detection, providing a valuable scheme for the visual monitoring of CLB in meat products. This work enriches rare earth metal compounds and luminescence sensor portfolios and breaks the concentration record (nM) for detecting CLB compared with reported complex materials, providing an effective monitoring platform for CLB visually.
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Affiliation(s)
- Xudong Zhang
- College of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot 010021, P. R. China
- State Key Laboratory of Baiyunobo Rare Earth Resource Researches and Comprehensive Utilization, Baotou Research Institute of Rare Earths, Baotou 014030, P. R. China
| | - Wenyu Ding
- College of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot 010021, P. R. China
| | - Chuanbao Jiao
- College of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot 010021, P. R. China
| | - Xiaomin Kang
- College of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot 010021, P. R. China
| | - Zhiliang Liu
- College of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot 010021, P. R. China
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13
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Wang F, Li X, Liu Z, Zhao X, Zhao C, Hou G, Liu Q, Liu X. A Magnetic-Optical Triple-Mode Lateral Flow Immunoassay for Sensitive and Rapid Detection of Respiratory Adenovirus. Anal Chem 2024; 96:2059-2067. [PMID: 38258754 DOI: 10.1021/acs.analchem.3c04696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Human respiratory adenovirus (ADV) is a highly infectious respiratory virus with potential for pandemics. There are currently no specific drugs to treat ADV worldwide, so early rapid detection of ADV infection is essential. In this study, we developed an innovative magnetic-optical triple-mode lateral flow immunoassay (LFIA) using magnetic quantum dots as immunomarkers. This novel approach addresses the need for rapid and accurate ADV detection, allowing for multimodal quantitative/semiquantitative analysis of magnetic, fluorescent, and visible signals within a mere 15 min. The lower limit of detection (LOD) for magnetic, fluorescent, and visual signals was determined to be 5.6 × 103, 1.2 × 103, and 1.95 × 104 copies/mL, respectively. The detection range for ADV using this approach was 1.2 × 103-5 × 107 copies/mL. Additionally, semiquantitative analysis, which is user-friendly and does not necessitate specialized equipment, was successfully implemented. Notably, seven respiratory viruses showed no cross-reactivity with the generated LFIA test strips. The intrabatch repeatability exhibited a coefficient of variation (CV) of less than 5%, while the interbatch repeatability had a CV of less than 15%. Furthermore, recovery values ranged from 95% to 106.8% for samples analyzed concurrently with dual signals at the same spiking concentration. The assay developed in this study boasts a wide detection range and exceptional sensitivity and specificity. This technique is exceptionally well-suited for on-site rapid detection, with the potential for personal self-testing and early ADV infection diagnosis. Its versatility extends to a broad array of application scenarios.
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Affiliation(s)
- Fei Wang
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Xiaoyan Li
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Zhining Liu
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
| | - Xin Zhao
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
| | - Changxu Zhao
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Guangzheng Hou
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Qiqi Liu
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Xin Liu
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
- Jinzhou Medical University Huludao Central Hospital Teaching Base, Huludao 125001,PR China
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14
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Liu X, Su X, Chen M, Xie Y, Li M. Self-calibrating surface-enhanced Raman scattering-lateral flow immunoassay for determination of amyloid-β biomarker of Alzheimer's disease. Biosens Bioelectron 2024; 245:115840. [PMID: 37988777 DOI: 10.1016/j.bios.2023.115840] [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: 07/11/2023] [Revised: 10/24/2023] [Accepted: 11/12/2023] [Indexed: 11/23/2023]
Abstract
Rapid early diagnosis of Alzheimer's disease (AD) is critical for its effective and prompt treatment since the clinically available treatments can only relieve the symptoms or slow the disease progression. However, it is still a grand challenge to accurately diagnose AD at its early stage because of the indiscernible early symptoms and the lack of sensitive detection tools. Here, we develop a self-calibrating surface-enhanced Raman scattering (SERS)-lateral flow immunoassay (LFIA) biosensor for quantitative analysis of amyloid-β1-42 (Aβ1-42) biomarker in biofluids, enabling accurate AD diagnosis. The designed SERS-LFIA biosensor makes full use of the unique aspects of the LFIA format and the SERS technique to quantify the Aβ1-42 level in complex biofluids with high sensitivity, excellent anti-interference capability, low-cost, and operation simplicity. The key aspect of the design of this biosensor is that internal standard (IS)-SERS nanoparticles are embedded in the test line of the test strip as a self-calibration unit for correction of fluctuations of SERS signals caused by various external factors such as test parameters and sample heterogeneity. We demonstrate significant improvement of the detection performance of the SERS-LFIA biosensor for ratiometric quantification of Aβ1-42 owing to the built-in IS in the test line. We expect that the present IS-based biosensing strategy provides a promising tool for accurate AD diagnosis and longitudinal monitoring of therapeutic response with great promises for clinical translation.
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Affiliation(s)
- Xinyu Liu
- School of Materials Science and Engineering, Central South University, Changsha, Hunan, 410083, China
| | - Xiaoming Su
- School of Materials Science and Engineering, Central South University, Changsha, Hunan, 410083, China
| | - Mingyang Chen
- School of Materials Science and Engineering, Central South University, Changsha, Hunan, 410083, China
| | - Yangcenzi Xie
- School of Materials Science and Engineering, Central South University, Changsha, Hunan, 410083, China
| | - Ming Li
- School of Materials Science and Engineering, Central South University, Changsha, Hunan, 410083, China.
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15
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Huang P, Yang S, Chen Z, Shang A, Liu D, Xi J. A SERS-based immune-nanoprobe for ultrasensitive detection of glycinin via a lateral flow assay. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 305:123439. [PMID: 37774588 DOI: 10.1016/j.saa.2023.123439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 09/13/2023] [Accepted: 09/18/2023] [Indexed: 10/01/2023]
Abstract
Glycinin is one of the most nutritious ingredients in soybean, but it is also an allergen that can cause allergic reactions in humans and animals, and even endanger life in severe cases. Therefore, it is imperative to develop a rapid and ultrasensitive detection method for glycinin. In order to achieve this goal, this experiment combined surface-enhanced Raman spectroscopy (SERS) technology with an economical, simple, fast and easy-to-carry immunochromatographic test strip, and successfully constructed an efficient sandwich immunochromatographic test strip. The immunoprobe of the test strip was covalently coupled by gold nanostars (AuNSs), Raman molecule 4-aminothiophenol (4-PATP) and rabbit polyclonal antibody. In this experiment, a gold nanostar immunochromatographic test strip for detecting glycinin was established. The detection limit of the test strip was 0.23 ng / mL, the recovery rate was 91.5-96.6 %, and the coefficient of variation was 1.61-6.15 %. In addition, the test strip had no cross reaction with whey protein, wheat protein, peanut protein, sesame protein and β-conglycinin, indicating that the detection method had good specificity and the ability to avoid false positive results. Hence, this experiment successfully prepared a rapid and sensitive test strip for glycinin.
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Affiliation(s)
- Pengbo Huang
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China
| | - Shuo Yang
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China
| | - Zixin Chen
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China
| | - Achen Shang
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China
| | - Deguo Liu
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China
| | - Jun Xi
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China.
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16
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Ganganboina AB, Park EY. Signal-Amplified Nanobiosensors for Virus Detection Using Advanced Nanomaterials. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2024; 187:381-412. [PMID: 38337075 DOI: 10.1007/10_2023_244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/12/2024]
Abstract
Rapid diagnosis and treatment of infectious illnesses are crucial for clinical outcomes and public health. Biosensing developments enhance diagnostics at the point of care. This is superior to traditional procedures, which need centralized lab facilities, specialized personnel, and large equipment. The emerging coronavirus epidemic threatens global health and economic security. Increasing viral surveillance and regulatory actions against disease transmission necessitate rapid, sensitive testing tools for viruses. Due to their sensitivity and specificity, biosensors offer a possible reliable and quantifiable viral detection method. Current advances in genetic engineering, such as genetic alteration and material engineering, have provided several opportunities to enhance biosensors' sensitivity, selectivity, and recognition efficiency. This chapter explains biosensing techniques, biosensor varieties, and signal amplification technologies. Challenges and potential developments for viral microorganisms based on biosensors and signal amplification were also investigated.
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Affiliation(s)
- Akhilesh Babu Ganganboina
- International Center for Young Scientists ICYS-NAMIKI, National Institute for Materials Science, Ibaraki, Japan.
| | - Enoch Y Park
- Research Institute of Green Science and Technology, Shizuoka University, Shizuoka, Japan.
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17
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Zheng L, Hu F, Zhao Y, Zhu J, Wang X, Su M, Liu H. Core-Satellite Nanoassemblies as SPR/SERS Dual-Mode Plasmonic Sensors for Sensitively Detecting Ractopamine in Complex Media. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:20793-20800. [PMID: 38095450 DOI: 10.1021/acs.jafc.3c06475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
Highly sensitive and reliable detection of β-adrenergic agonists is especially necessary due to the illegal abuse of growth-promoting feed additives. Here, we develop a novel surface plasmon resonance/surface-enhanced Raman scattering (SPR/SERS) dual-mode plasmonic sensor based on core-satellite nanoassemblies for the highly sensitive and reliable detection of ractopamine (RAC). The addition of RAC results in the decomposition of core-satellite nanoassemblies and consequently changes the Rayleigh scattering color of dark-field microscopy (DFM) images and the Raman scattering intensity of SERS spectra. The excellent sensitivity, specificity, and uniformity of this strategy were confirmed by detecting RAC in various complex media in the farm-to-table chain, and the limit of detection (LOD) was 0.03 ng/mL in an aqueous solution. In particular, the convenient access to livestock sewage not only ensures animal welfare but also provides great convenience for the market regulation of β-agonists. The success of our on-site strategy only with a portable Raman device promises great application prospects for β-agonist detection.
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Affiliation(s)
- Liqin Zheng
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230009, P. R. China
| | - Fan Hu
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230009, P. R. China
| | - Yueyue Zhao
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230009, P. R. China
| | - Juanjuan Zhu
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230009, P. R. China
| | - Xian Wang
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230009, P. R. China
| | - Mengke Su
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230009, P. R. China
| | - Honglin Liu
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230009, P. R. China
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18
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Zhou Y, Wang H, Zhao Z, Luan D, Bian X, Lai K, Yan J. Colloidal SERS measurement of enrofloxacin with petaloid nanostructure clusters formed by terminal deoxynucleotidyl transferase catalyzed cytosine-constituted ssDNA. Food Chem 2023; 429:136954. [PMID: 37499513 DOI: 10.1016/j.foodchem.2023.136954] [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: 01/11/2023] [Revised: 07/18/2023] [Accepted: 07/18/2023] [Indexed: 07/29/2023]
Abstract
We developed petal-like plasmonic nanoparticle (PLNP) clusters-based colloidal SERS method for enrofloxacin (EnFX) detection. PLNPs were synthesized by the regulation of single-stranded DNA composed of homo-cytosine deoxynucleotides (hC) catalyzed by terminal deoxynucleotidyl transferase. SERS hot spots were created via the agglomeration process of PLNPs by adding an inorganic salt potassium iodide solution, in which EnFX molecules were attached to the negatively charged PLNPs surface by electrostatic interactions. This approach enabled direct in situ detection of antibiotic residues, achieving a limit of detection (LOD) of 1.15 μg/kg for EnFX. The spiked recoveries of the SERS method were approximately 92.7% to 107.2% and the RSDs ranged from 1.05% to 7.8%, indicating that the method can be applied to actual sample detection. This colloidal SERS measurement platform would be very promising in various applications, especially in real-time and on-site food safety screening owing to its rapidness, simplicity, and sensitivity.
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Affiliation(s)
- Yangyang Zhou
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai Engineering Research Center of Aquatic-Product Process & Preservation, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, PR China
| | - Huiyuan Wang
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai Engineering Research Center of Aquatic-Product Process & Preservation, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, PR China
| | - Zhihui Zhao
- Shanghai Oceanhood Optoelctronics Technology Co., Shanghai 200444, PR China
| | - Donglei Luan
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai Engineering Research Center of Aquatic-Product Process & Preservation, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, PR China
| | - Xiaojun Bian
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai Engineering Research Center of Aquatic-Product Process & Preservation, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, PR China
| | - Keqiang Lai
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai Engineering Research Center of Aquatic-Product Process & Preservation, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, PR China
| | - Juan Yan
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai Engineering Research Center of Aquatic-Product Process & Preservation, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, PR China.
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19
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Tong L, Li D, Huang M, Huang L, Wang J. Gold-Silver Alloy Nanoparticle-Incorporated Pitaya-Type Silica Nanohybrids for Sensitive Competitive Lateral Flow Immunoassay. Anal Chem 2023; 95:17318-17327. [PMID: 37967331 DOI: 10.1021/acs.analchem.3c03569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2023]
Abstract
Although the competitive lateral flow immunoassay (CLFIA) using gold nanoparticles (AuNPs) as labels has been widely adopted for the rapid detection of small molecules, its sensitivity is often constrained by the insufficient colorimetric signal produced by conventional AuNPs labels. Herein, we introduce a new type of intensified colorimetric label, denoted as SAAS, which is engineered by integrating gold-silver alloy nanoparticles (Au-Ag NPs) within a dendritic silica scaffold. These pitaya-type silica nanohybrids combine the advantages of the amplified molar extinction coefficient of alloy units with the signal collective effect of numerous Au-Ag NPs in a singular label. The SAAS-based CLFIA strips not only achieve qualitative screening of aflatoxin B1 (AFB1) at an extraordinarily low concentration of 0.2 ng/mL by the naked eye but also enable precise AFB1 quantification through a smartphone, with a remarkable limit of detection of 0.00314 ng/mL. Moreover, by leveraging SAAS as a quencher, we have delved into transforming the conventional signal-off mode of competitive immunoassay into a signal-on configuration. This innovation led to the development of a fluorescent LFIA that augments interpretative precision and sensitivity. Our study demonstrates the substantial potential of the proposed nanohybrid labels in enhancing the sensitivity of CLFIA for detecting small molecules.
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Affiliation(s)
- Lu Tong
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
| | - Daquan Li
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
| | - Mei Huang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
| | - Liang Huang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
| | - Jing Wang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
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20
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Zhao L, Hu Y, Li G, Zou S, Ling L. Chemical-Chemical Redox Cycle Signal Amplification Strategy Combined with Dual Ratiometric Immunoassay for Surface-Enhanced Raman Spectroscopic Detection of Cardiac Troponin I. Anal Chem 2023; 95:16677-16682. [PMID: 37916775 DOI: 10.1021/acs.analchem.3c03238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
Improving the sensitivity and reproducibility of surface-enhanced Raman spectroscopy (SERS) methods for the detection of bioactive molecules is crucial in biological process research and clinical diagnosis. Herein, we designed a novel SERS platform for cardiac troponin I (cTnI) detection by a chemical-chemical redox cycle signal amplification strategy combined with a dual ratiometric immunoassay. First, ascorbic acid (AA) was generated by enzyme-assisted immunoreaction with a cTnI-anchored sandwich structure. Then, oxidized 4-mercaptophenol (ox4-MP) was reacted with AA to produce 4-mercaptophenol (4-MP). Quantitative analysis of cTnI was realized by a Raman signal switch between ox4-MP and 4-MP. Specifically, AA could be regenerated by reductant (tris(2-carboxyethyl) phosphine, TCEP), which in turn produced more signal indicator 4-MP, causing significant signal amplification for cTnI analysis by SERS immunosensing. Moreover, a dual ratiometric-type SERS method was established with the intensity ratio I1077/I822 and I633/I822, which improved the reproducibility of the cTnI assay. The excellent performance of the chemical-chemical redox cycle strategy and ratio-type SERS assay endows the method with high sensitivity and reproducibility. The linear ranges of cTnI were 0.001 to 50.0 ng mL-1 with detection limits of 0.33 pg mL-1 (upon I1077/I822) and 0.31 pg mL-1 (upon I635/I822), respectively. The amount of cTnI in human serum samples yielded recoveries from 89.0 to 114%. This SERS method has remarkable analytical performance, providing an effective approach for the early diagnosis of cardiovascular diseases, and has great latent capacity in the sensitive detection of bioactive molecules.
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Affiliation(s)
- Lizhen Zhao
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Yuling Hu
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Gongke Li
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Seyin Zou
- Department of Laboratory Medicine, Guangdong Second Provincial General Hospital, Guangzhou 510317, China
| | - Liansheng Ling
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
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21
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Guo Q, Peng Y, Qin J, Chao K, Zhao X, Yin T. Advance in Detection Technique of Lean Meat Powder Residues in Meat Using SERS: A Review. Molecules 2023; 28:7504. [PMID: 38005225 PMCID: PMC10673115 DOI: 10.3390/molecules28227504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/31/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
Food that contains lean meat powder (LMP) can cause human health issues, such as nausea, headaches, and even death for consumers. Traditional methods for detecting LMP residues in meat are often time-consuming and complex and lack sensitivity. This article provides a review of the research progress on the use of surface-enhanced Raman spectroscopy (SERS) technology for detecting residues of LMP in meat. The review also discusses several applications of SERS technology for detecting residues of LMP in meat, including the enhanced detection of LMP residues in meat based on single metal nanoparticles, combining metal nanoparticles with adsorbent materials, combining metal nanoparticles with immunizing and other chemicals, and combining the SERS technology with related techniques. As SERS technology continues to develop and improve, it is expected to become an even more widely used and effective tool for detecting residues of LMP in meat.
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Affiliation(s)
- Qinghui Guo
- College of Engineering, China Agricultural University, Beijing 100083, China
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Yankun Peng
- College of Engineering, China Agricultural University, Beijing 100083, China
| | - Jianwei Qin
- USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, 10300 Baltimore Ave., Beltsville, MD 20705, USA
| | - Kuanglin Chao
- USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, 10300 Baltimore Ave., Beltsville, MD 20705, USA
| | - Xinlong Zhao
- College of Engineering, China Agricultural University, Beijing 100083, China
| | - Tianzhen Yin
- College of Engineering, China Agricultural University, Beijing 100083, China
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22
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Lin C, Liu Z, Fang F, Zhao S, Li Y, Xu M, Peng Y, Chen H, Yuan F, Zhang W, Zhang X, Teng Z, Xiao R, Yang Y. Next-Generation Rapid and Ultrasensitive Lateral Flow Immunoassay for Detection of SARS-CoV-2 Variants. ACS Sens 2023; 8:3733-3743. [PMID: 37675933 DOI: 10.1021/acssensors.3c01019] [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] [Indexed: 09/08/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic highlighted the need for rapid and accurate viral detection at the point-of-care testing (POCT). Compared with nucleic acid detection, lateral flow immunoassay (LFIA) is a rapid and flexible method for POCT detection. However, the sensitivity of LFIA limits its use for early identification of patients with COVID-19. Here, an innovative surface-enhanced Raman scattering (SERS)-LFIA platform based on two-dimensional black phosphorus decorated with Ag nanoparticles as important antigen-capturing and Raman-signal-amplification unit was developed for detection of SARS-CoV-2 variants within 5-20 min. The novel SERS-LFIA platform realized a limit of detection of 0.5 pg/mL and 100 copies/mL for N protein and SARS-CoV-2, demonstrating 1000 times more sensitivity than the commercial LFIA strips. It could reliably detect seven different SARS-CoV-2 variants with cycle threshold (Ct) < 38, with sensitivity and specificity of 97 and 100%, respectively, exhibiting the same sensitivity with q-PCR. Furthermore, the detection results for 48 SARS-CoV-2-positive nasopharyngeal swabs (Ct = 19.8-38.95) and 96 negative nasopharyngeal swabs proved the reliability of the strips in clinical application. The method also had good specificity in double-blind experiments involving several other coronaviruses, respiratory viruses, and respiratory medications. The results showed that the innovative SERS-LFIA platform is expected to be the next-generation antigen detection technology. The inexpensive amplification-free assay combines the advantages of rapid low-cost POCT and highly sensitive nucleic acid detection, and it is suitable for rapid detection of SARS-CoV-2 variants and other pathogens. Thus, it could replace existing antigens and nucleic acids to some extent.
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Affiliation(s)
- Chenglong Lin
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Zhenzhen Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No.20 Dongdajie, Fengtai District, Beijing 100101, People's Republic of China
| | - Fanghao Fang
- Shanghai Municipal Centre for Disease Control and Prevention, No. 1380, Zhongshan West Road, Shanghai 200336, People's Republic of China
| | - Shuai Zhao
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Yanyan Li
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Meimei Xu
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Yusi Peng
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Hongyou Chen
- Shanghai Municipal Centre for Disease Control and Prevention, No. 1380, Zhongshan West Road, Shanghai 200336, People's Republic of China
| | - Fang Yuan
- Shanghai Municipal Centre for Disease Control and Prevention, No. 1380, Zhongshan West Road, Shanghai 200336, People's Republic of China
| | - Wanju Zhang
- Shanghai Municipal Centre for Disease Control and Prevention, No. 1380, Zhongshan West Road, Shanghai 200336, People's Republic of China
| | - Xi Zhang
- Shanghai Municipal Centre for Disease Control and Prevention, No. 1380, Zhongshan West Road, Shanghai 200336, People's Republic of China
| | - Zheng Teng
- Shanghai Municipal Centre for Disease Control and Prevention, No. 1380, Zhongshan West Road, Shanghai 200336, People's Republic of China
| | - Rui Xiao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No.20 Dongdajie, Fengtai District, Beijing 100101, People's Republic of China
| | - Yong Yang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
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23
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Kim SK, Lee JU, Jeon MJ, Kim SK, Hwang SH, Hong ME, Sim SJ. Bio-conjugated nanoarchitectonics with dual-labeled nanoparticles for a colorimetric and fluorescent dual-mode serological lateral flow immunoassay sensor in detection of SARS-CoV-2 in clinical samples. RSC Adv 2023; 13:27225-27232. [PMID: 37701275 PMCID: PMC10494995 DOI: 10.1039/d3ra04373h] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/05/2023] [Indexed: 09/14/2023] Open
Abstract
Serological detection of antibodies for diagnosing infectious diseases has advantages in facile diagnostic procedures, thereby contributing to controlling the spread of the pathogen, such as in the recent SARS-CoV-2 pandemic. Lateral flow immunoassay (LFIA) is a representative serological antibody detection method suitable for on-site applications but suffers from low clinical accuracy. To achieve a simple and rapid serological screening as well as the sensitive quantification of antibodies against SARS-CoV-2, a colorimetric and fluorescent dual-mode serological LFIA sensor incorporating metal-enhanced fluorescence (MEF) was developed. For the strong fluorescence signal amplification, fluorophore Cy3 was immobilized onto gold nanoparticles (AuNPs) with size-controllable spacer polyethyleneglycol (PEG) to maintain an optimal distance to induce MEF. The sensor detects the target IgG with a concentration as low as 1 ng mL-1 within 8 minutes. The employment of the MEF into the dual-mode serological LFIA sensor shows a 1000-fold sensitivity improvement compared with that of colorimetric LFIAs. The proposed serological LFIA sensor was tested with 73 clinical samples, showing sensitivity, specificity, and accuracy of 95%, 100%, and 97%, respectively. In conclusion, the dual-mode serological LFIA has great potential for application in diagnosis and an epidemiological survey of vaccine efficacy and immunity status of individuals.
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Affiliation(s)
- Sang Ki Kim
- Department of Chemical and Biological Engineering, Korea University 145, Anam-ro, Seongbuk-gu Seoul 02841 Republic of Korea
| | - Jong Uk Lee
- Department of Chemical Engineering, Sunchon National University 225 Jungang-ro Suncheon Jeollanam-do 57922 Republic of Korea
| | - Myeong Jin Jeon
- Department of Chemical and Biological Engineering, Korea University 145, Anam-ro, Seongbuk-gu Seoul 02841 Republic of Korea
| | - Soo-Kyung Kim
- Department of Laboratory Medicine, Ewha Womans University Mokdong Hospital Seoul 07985 Republic of Korea
| | - Sang-Hyun Hwang
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine Seoul 05505 Republic of Korea
| | - Min Eui Hong
- Business Development, Kyung Nam Pharm.Co.,Ltd 702 Eonju-ro Gangnam-gu Seoul 06061 Republic of Korea
| | - Sang Jun Sim
- Department of Chemical and Biological Engineering, Korea University 145, Anam-ro, Seongbuk-gu Seoul 02841 Republic of Korea
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24
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Zhang Y, Wang Y, Liu A, Liu S. Fabrication of flexible SERS substrate based on Au nanostars and PDMS for sensitive detection of Thiram residue in apple juice. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 297:122721. [PMID: 37054572 DOI: 10.1016/j.saa.2023.122721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 03/08/2023] [Accepted: 04/06/2023] [Indexed: 05/14/2023]
Abstract
We developed a novel fabrication of flexible surface-enhanced Raman scattering (SERS) substrate to perform selective and sensitive determination of thiram residue in fruits and juices. Au nanostars (Au NSs) with multi-branching structure were self-assembled on aminated Polydimethylsiloxane (PDMS) slides by electrostatic interaction. By measuring the Thiram's characteristic peak intensity at 1371 cm-1, the SERS method could distinguish Thiram from other pesticide residues. A good linear relationship between the peak intensity at 1371 cm-1 and thiram's concentration was established at the range from 0.01 ppm to 100 ppm and the Limit of detection is 0.0048 ppm. We directly used this SERS substrate to detect Thiram in apple juice. By standard addition method, recoveries varied in the range of 97.05% to 106.00% and the RSD were from 3.26% to 9.35%. The SERS substrate exhibited a good sensitivity, stability and selectively for the detection of Thiram in food samples, which can be spread as a common method for the detection of pesticides in food samples.
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Affiliation(s)
- Yusheng Zhang
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device (CMD), Jiangsu Province Hi-Tech Key Laboratory for Bio-medical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, PR China
| | - Yong Wang
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device (CMD), Jiangsu Province Hi-Tech Key Laboratory for Bio-medical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, PR China; Institute of Forensic Science and Technology of Nanjing Public Security Bureau, Nanjing 210012, PR China
| | - Anran Liu
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device (CMD), Jiangsu Province Hi-Tech Key Laboratory for Bio-medical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, PR China.
| | - Songqin Liu
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device (CMD), Jiangsu Province Hi-Tech Key Laboratory for Bio-medical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, PR China
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25
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Huang J, Zhang M, Fang Z. Perspectives on Novel Technologies of Processing and Monitoring the Safety and Quality of Prepared Food Products. Foods 2023; 12:3052. [PMID: 37628050 PMCID: PMC10453564 DOI: 10.3390/foods12163052] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 08/08/2023] [Accepted: 08/12/2023] [Indexed: 08/27/2023] Open
Abstract
With the changes of lifestyles and rapid growth of prepared food industry, prepared fried rice that meets the consumption patterns of contemporary young people has become popular in China. Although prepared fried rice is convenient and nutritious, it has the following concerns in the supply chain: (1) susceptible to contamination by microorganisms; (2) rich in starch and prone to stall; and (3) vegetables in the ingredients have the issues of water loss and discoloration, and meat substances are vulnerable to oxidation and deterioration. As different ingredients are used in prepared fried rice, their food processing and quality monitoring techniques are also different. This paper reviews the key factors that cause changes in the quality of prepared fried rice, and the advantages and limitations of technologies in the processing and monitoring processes. The processing technologies for prepared fried rice include irradiation, high-voltage electric field, microwave, radio frequency, and ohmic heating, while the quality monitoring technologies include Raman spectral imaging, near-infrared spectral imaging, and low-field nuclear magnetic resonance technology. These technologies will serve as the foundation for enhancing the quality and safety of prepared fried rice and are essential to the further development of prepared fried rice in the emerging market.
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Affiliation(s)
- Jinjin Huang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China;
- Jiangsu Province International Joint Laboratory on Fresh Food Smart Processing and Quality Monitoring, Jiangnan University, Wuxi 214122, China
| | - Min Zhang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China;
- China General Chamber of Commerce Key Laboratory on Fresh Food Processing & Preservation, Jiangnan University, Wuxi 214122, China
| | - Zhongxiang Fang
- School of Agriculture and Food, The University of Melbourne, Parkville, VIC 3010, Australia;
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26
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Cui Y, Zhao J, Li H. Chromogenic Mechanisms of Colorimetric Sensors Based on Gold Nanoparticles. BIOSENSORS 2023; 13:801. [PMID: 37622887 PMCID: PMC10452725 DOI: 10.3390/bios13080801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 07/31/2023] [Accepted: 08/08/2023] [Indexed: 08/26/2023]
Abstract
The colorimetric signal readout method is widely used in visualized analyses for its advantages, including visualization of test results, simple and fast operations, low detection cost and fast response time. Gold nanoparticles (Au NPs), which not only exhibit enzyme-like activity but also have the advantages of tunable localized surface plasmon resonance (LSPR), high stability, good biocompatibility and easily modified properties, provide excellent platforms for the construction of colorimetric sensors. They are widely used in environmental monitoring, biomedicine, the food industry and other fields. This review focuses on the chromogenic mechanisms of colorimetric sensors based on Au NPs adopting two different sensing strategies and summarizes significant advances in Au NP-based colorimetric sensing with enzyme-like activity and tunable LSPR characteristics. In addition, the sensing strategies based on the LSPR properties of Au NPs are classified into four modulation methods: aggregation, surface modification, deposition and etching, and the current status of visual detection of various analytes is discussed. Finally, the review further discusses the limitations of current Au NP-based detection strategies and the promising prospects of Au NPs as colorimetric sensors, guiding the design of novel colorimetric sensors.
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Affiliation(s)
- Yanyun Cui
- College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China; (J.Z.); (H.L.)
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27
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Wang W, Yu Q, Zheng S, Li J, Wu T, Wang S, Wang C, Gu B. Ultrasensitive and simultaneous monitoring of multiple small-molecule pollutants on an immunochromatographic strip with multilayered film-like fluorescent tags. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 878:162968. [PMID: 36958566 DOI: 10.1016/j.scitotenv.2023.162968] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/03/2023] [Accepted: 03/16/2023] [Indexed: 05/13/2023]
Abstract
A wide variety of small-molecule pollutants is harmful to human health, and their highly sensitive universal and rapid detection in complex environments remains a challenge. Herein, a multiplexed and ultrasensitive immunochromatographic strip (ICS) was developed for the universal analysis of three kinds of different pollutants based on multilayered fluorescent nanofilm-guided signal amplification. Flexible three-dimensional nanofilms (GO-MQD) with large surface areas, high quantum dot (QD) loading, superior luminescence, and good stability were synthesized through the electrostatic adsorption-mediated layer-by-layer assembly of three layers of small QDs onto two-dimensional graphene oxide (GO) nanosheets, modified with specific antibodies, and utilized as enhanced fluorescent tags in the ICS method for quantitative target detection. By combining the GO-MQD nanofilms and multiplexed ICS, the proposed assay can rapidly and sensitively detect aflatoxin B1, clenbuterol, and kanamycin in actual samples/environmental samples (pork extract, milk, river water, and lake water) with low detection limit (0.87, 2.04, and 0.81 pg/mL), fast testing time (15 min), good stability and high reproducibility (RSD < 8.71 %). The GO-MQD-ICS method developed here exhibits great potential to meet the demands of the on-site and practical detection of small-molecule pollutants.
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Affiliation(s)
- Wenqi Wang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Qing Yu
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Shuai Zheng
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China; Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230036, PR China
| | - Jiaxuan Li
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Ting Wu
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China; Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230036, PR China
| | - Shu Wang
- Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230036, PR China.
| | - Chongwen Wang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China.
| | - Bing Gu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China.
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28
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Kaur Rajput J. Nanosensors: A smart remedy for early detection of clenbuterol contamination in food. Food Chem 2023; 426:136569. [PMID: 37302312 DOI: 10.1016/j.foodchem.2023.136569] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 06/01/2023] [Accepted: 06/05/2023] [Indexed: 06/13/2023]
Abstract
Veterinary drugs which are primarily meant for livestock treatment have now been categorised under potential food contaminant due to its unregulated usage and abuse. Their over usage by animal workers lead to production of contaminated animal-based food products which contain veterinary drug residues. These drugs are also misused as growth promoters to enhance the muscle to fat ratio in human body. This review highlights the misuse of such a veterinary drug; Clenbuterol. In this review, we have comprehensively discussed the usage of nanosensors to detect clenbuterol in food samples. Colorimetric, fluorescent, electrochemical, SERS and electrochemiluminescence are major categories of nanosensors that have been utilized for this purpose. The mechanism through which these nanosensors detect clenbuterol have been discussed in detail. The limit of detection and recovery percentage values of each nanosensor have been compared. This review will impart significant information on various nanosensors for clenbuterol detection in real samples.
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Affiliation(s)
- Jaspreet Kaur Rajput
- Department of Chemistry, Dr B R Ambedkar National Institute of Technology, Jalandhar 144011, Punjab, India.
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29
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Tu J, Wu T, Yu Q, Li J, Zheng S, Qi K, Sun G, Xiao R, Wang C. Introduction of multilayered magnetic core-dual shell SERS tags into lateral flow immunoassay: A highly stable and sensitive method for the simultaneous detection of multiple veterinary drugs in complex samples. JOURNAL OF HAZARDOUS MATERIALS 2023; 448:130912. [PMID: 36758436 DOI: 10.1016/j.jhazmat.2023.130912] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/15/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
Direct, convenient, and sensitive monitoring of the residues of multiple drugs in complex environments is important but remains a challenge. Here, we report a surface-enhanced Raman scattering (SERS)-based multiplexed lateral flow immunoassay (LFA) that supports the simultaneous and sensitive detection of commonly used drugs kanamycin, ractopamine, clenbuterol, and chloramphenicol in unprocessed complex samples through the dual signal amplification strategy of numerous efficient hotspots and magnetic enrichment. Multilayered magnetic-core dual-shell nanoparticles (MDAu@Ag) with controllable subtle nanogaps were fabricated via the polyethyleneimine-mediated layer-by-layer (LBL) assembly of two layers of Au@Ag satellites onto superparamagnetic Fe3O4 cores and conjugated with specific antibodies as multifunctional tags in the LFA system for rapid capture, separation, and quantitative analysis. Two Raman reporters were embedded in internal nanogaps and modified on the surface of MDAu@Ag for the simultaneous and ultrasensitive detection of four targets on two test lines, which greatly simplified the fabrication and signal reading of SERS-LFA. The proposed assay can rapidly detect multiple drug residues in 35 min with detection limits down to pg/mL level. Moreover, the MDAu@Ag-based SERS-LFA demonstrated better stability, higher throughput, and superior sensitivity (at least 400 times) than traditional colloidal gold immunochromatography, showing its great potential in the field of point-of-care testing.
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Affiliation(s)
- Jian Tu
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Ting Wu
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Qing Yu
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China; College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Jiaxuan Li
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China; Beijing Institute of Microbiology and Epidemiology, Beijing 100850, PR China
| | - Shuai Zheng
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Kezong Qi
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Guohui Sun
- Beijing Key Laboratory of Environmental and Viral Oncology, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, PR China.
| | - Rui Xiao
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, PR China.
| | - Chongwen Wang
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China; Beijing Institute of Microbiology and Epidemiology, Beijing 100850, PR China; College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China; Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000, PR China.
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30
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Chen X, Li Q, Yuan T, Ma M, Ye Z, Wei X, Fang X, Mao S. Highly Specific Antibiotic Detection on Water-Stable Black Phosphorus Field-Effect Transistors. ACS Sens 2023; 8:858-866. [PMID: 36701186 DOI: 10.1021/acssensors.2c02562] [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: 01/27/2023]
Abstract
Two-dimensional (2D) black phosphorus (BP) has been reported to have appealing semiconducting properties as the sensing channel in field-effect transistor (FET) sensors. However, the intrinsic instability of BP in water greatly hinders its application, and little is known about its sensing performance and mechanism in aqueous medium. Herein, a water-stable BP FET sensor for antibiotic detection is reported. A novel surface engineering strategy with Ag+ coordination and melamine cyanurate (MC) supramolecular passivation is utilized to enhance the stability and transistor performance of BP. With molecularly imprinted polymers (MIPs) as the detection probe for tetracycline, the BPAg(+)/MC/MIPs sensor shows high sensitivity to tetracycline with a detection limit of 7.94 nM and a quick response within 6 s as well as high selectivity against other antibiotics with similar molecular structures. A new sensing mechanism relying on the conjugation effect of the probe structure is proposed, and new knowledge about alkalinity-enhanced and ionic strength-related response from the electrostatic gating effect is given based on the solution chemistry impact study. This work offers an efficient surface engineering strategy to enable the application of 2D BP for antibiotic detection in aqueous medium and presents a new sensing mechanism in chemical analysis by FET sensors.
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Affiliation(s)
- Xiaoyan Chen
- Department of Chemistry and Materials Science, College of Science, Nanjing Forestry University, 159 Longpan Road, Nanjing, Jiangsu210037, China
| | - Qiuju Li
- College of Environmental Science and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, 1239 Siping Road, Shanghai200092, China
| | - Taoyue Yuan
- Department of Chemistry and Materials Science, College of Science, Nanjing Forestry University, 159 Longpan Road, Nanjing, Jiangsu210037, China
| | - Mengtao Ma
- Department of Chemistry and Materials Science, College of Science, Nanjing Forestry University, 159 Longpan Road, Nanjing, Jiangsu210037, China
| | - Ziwei Ye
- College of Environmental Science and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, 1239 Siping Road, Shanghai200092, China
| | - Xiaojie Wei
- College of Environmental Science and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, 1239 Siping Road, Shanghai200092, China
| | - Xian Fang
- School of Exercise and Health, Shanghai University of Sport, Shanghai200438, China
| | - Shun Mao
- College of Environmental Science and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, 1239 Siping Road, Shanghai200092, China
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31
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Shen W, Li J, Jiang B, Nie Y, Pang Y, Wang C, Xiao R, Hao R. Electrostatic Adsorption of Dense AuNPs onto Silica Core as High-Performance SERS Tag for Sensitive Immunochromatographic Detection of Streptococcus pneumoniae. Pathogens 2023; 12:pathogens12020327. [PMID: 36839599 PMCID: PMC9965993 DOI: 10.3390/pathogens12020327] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/08/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
Streptococcus pneumoniae (S. pneumoniae) is a prominent pathogen of bacterial pneumonia and its rapid and sensitive detection in complex biological samples remains a challenge. Here, we developed a simple but effective immunochromatographic assay (ICA) based on silica-Au core-satellite (SiO2@20Au) SERS tags to sensitively and quantitatively detect S. pneumoniae. The high-performance SiO2@20Au tags with superior stability and SERS activity were prepared by one-step electrostatic adsorption of dense 20 nm AuNPs onto 180 nm SiO2 core and introduced into the ICA method to ensure the high sensitivity and accuracy of the assay. The detection limit of the proposed SERS-ICA reached 46 cells/mL for S. pneumoniae and was 100-fold more sensitive than the traditional AuNPs-based colorimetric ICA method. Further, considering its good stability, specificity, reproducibility, and easy operation, the SiO2@20Au-SERS-ICA developed here has great potential to meet the demands of on-site and accurate detection of respiratory pathogens.
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Affiliation(s)
- Wanzhu Shen
- School of Public Health, Capital Medical University, Beijing 100069, China
- Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Jiaxuan Li
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Bo Jiang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - You Nie
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yuanfeng Pang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Chongwen Wang
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
- Correspondence: (C.W.); (R.X.); (R.H.)
| | - Rui Xiao
- Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
- Correspondence: (C.W.); (R.X.); (R.H.)
| | - Rongzhang Hao
- School of Public Health, Capital Medical University, Beijing 100069, China
- Correspondence: (C.W.); (R.X.); (R.H.)
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32
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Chen Y, An Q, Teng K, Liu C, Sun F, Li G. Application of SERS in In-Vitro Biomedical Detection. Chem Asian J 2023; 18:e202201194. [PMID: 36581747 DOI: 10.1002/asia.202201194] [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: 11/25/2022] [Revised: 12/24/2022] [Accepted: 12/29/2022] [Indexed: 12/31/2022]
Abstract
Surface-enhanced Raman scattering (SERS), as a rapid and nondestructive biological detection method, holds great promise for clinical on spot and early diagnosis. In order to address the challenging demands of on spot detection of biomedical samples, a variety of strategies has been developed. These strategies include substrate structural and component engineering, data processing techniques, as well as combination with other analytical methods. This report summarizes the recent SERS developments for biomedical detection, and their promising applications in cancer detection, virus or bacterial infection detection, miscarriage spotting, neurological disease screening et al. The first part discusses the frequently used SERS substrate component and structures, the second part reports on the detection strategies for nucleic acids, proteins, bacteria, and virus, the third part summarizes their promising applications in clinical detection in a variety of illnesses, and the forth part reports on recent development of SERS in combination with other analytical techniques. The special merits, challenges, and perspectives are discussed in both introduction and conclusion sections.
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Affiliation(s)
- Yunfan Chen
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Qi An
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Kaixuan Teng
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Chao Liu
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Department of Chemistry, China, Tsinghua University, Beijing, 100084, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Fuwei Sun
- Fujian Provincial Key Laboratory of, Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, P. R. China
| | - Guangtao Li
- Department of Chemistry, China, Tsinghua University, Beijing, 100084, P. R. China
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Hu H, Tian Y, Yin X, Ren J, Su L, Xu J, Jia C, Wang J, Zhang D. A lateral flow immunoassay based on chemisorbed probes in virtue of hydrogen bond receptors on the Bi2S3 NPs. Food Chem 2023; 401:134133. [DOI: 10.1016/j.foodchem.2022.134133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 08/27/2022] [Accepted: 09/03/2022] [Indexed: 11/27/2022]
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Pei F, Feng S, Hu W, Liu B, Mu X, Hao Q, Cao Y, Lei W, Tong Z. Sandwich mode lateral flow assay for point-of-care detecting SARS-CoV-2. Talanta 2023; 253. [PMCID: PMC9612878 DOI: 10.1016/j.talanta.2022.124051] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The global corona virus disease 2019 (COVID-19) has been announced a pandemic outbreak, and has threatened human life and health seriously. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as its causative pathogen, is widely detected in the screening of COVID-19 patients, infected people and contaminated substances. Lateral flow assay (LFA) is a popular point-of-care detection method, possesses advantages of quick response, simple operation mode, portable device, and low cost. Based on the above advantages, LFA has been widely developed for detecting SARS-CoV-2. In this review, we summarized the articles about the sandwich mode LFA detecting SARS-CoV-2, classified according to the target detection objects indicating genes, nucleocapsid protein, spike protein, and specific antibodies of SARS-CoV-2. In each part, LFA is further classified and summarized according to different signal detection types. Additionally, the properties of the targets were introduced to clarify their detection significance. The review is expected to provide a helpful guide for LFA sensitization and marker selection of SARS-CoV-2.
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Affiliation(s)
- Fubin Pei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Shasha Feng
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Wei Hu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Bing Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Xihui Mu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Qingli Hao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China
| | - Yang Cao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China
| | - Wu Lei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China,Corresponding author
| | - Zhaoyang Tong
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China,Corresponding author
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Luo L, Pan Y, Li Q, Zhang Y, Chen C, Shen J, Wang Z. Current progress in the detection of adrenergic receptor agonist residues in animal-derived foods. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2022.116875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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36
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Colorimetric and Raman dual-mode lateral flow immunoassay detection of SARS-CoV-2 N protein antibody based on Ag nanoparticles with ultrathin Au shell assembled onto Fe 3O 4 nanoparticles. Anal Bioanal Chem 2023; 415:545-554. [PMID: 36414739 PMCID: PMC9685096 DOI: 10.1007/s00216-022-04437-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/27/2022] [Accepted: 11/14/2022] [Indexed: 11/24/2022]
Abstract
Serological antibody tests are useful complements of nuclei acid detection for SARS-CoV-2 diagnosis, which can significantly improve diagnostic accuracy. However, antibody detection in serum or plasma remains challenging to do with high sensitivity. In this study, Ag nanoparticles with ultra-thin Au shells embedded with 4-mercaptobenzoic acid (MBA) (AgMBA@Au) were manufactured and then assembled onto Fe3O4 surface by electrostatic interaction to construct the Fe3O4-AgMBA@Au nanoparticles (NPs) with magnetic-Raman-colorimetric properties. Based on the composite nanoparticles, a colorimetric and Raman dual-mode lateral flow immunoassay (LFIA) for ultrasensitive identification of SARS-CoV-2 nucleocapsid (N) protein antibody was constructed. The magnetic nanoparticles (Fe3O4 NPs) were acted as the core and coated a layer of AgMBA@Au particles on the surface by electrostatic interaction to prepare Fe3O4-AgMBA@Au NPs, which can amplify the SERS signal due to multiple AgMBA@Au particles concentrated on a single magnetic nanoparticle. Moreover, the Fe3O4-AgMBA@Au NPs facilitated pre-purifying sample using magnetic separation, and complex matrix interference would be greatly decreased in the detection. The Fe3O4-AgMBA@Au NPs modified with N protein recognized and bound with N protein antibodies, which were trapped on the T-line, forming color band for observing detection. Under optimal conditions, the N protein antibodies could be qualitatively detected in colorimetric mode with the visual limit of 10-8 mg/mL and quantitatively detected by SERS signals between 10-6 and 10-10 mg /mL with 0.08 pg/mL detection limit. The coefficients variations (CV) of intra-assay was 8.0%, whereas of inter-assay was 11.7%, confirming of good reproducibility. Finally, this approach was able to discriminate between positive, negative, and weakly positive samples when detecting 107 clinical serum samples. The process enables highly sensitive quantitative assays that are valuable for evaluating disease processes and guiding treatment. Colorimetric and Raman dual-mode LFIA detection of SARS-CoV-2 N protein antibody based on Fe3O4-AgMBA@Au nanoparticles.
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37
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Shu R, Liang Y, Liu S, Dou L, Bu T, Wang S, Lan X, Zhang D, Sun J, Zhu M, Wang J. "From food waste to food supervision"-Cuttlefish Ink Natural Nanoparticles-Driven Dual-mode Lateral Flow Immunoassay for Advancing Point-of-Care Tests. Biosens Bioelectron 2023; 219:114807. [PMID: 36327557 DOI: 10.1016/j.bios.2022.114807] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 10/10/2022] [Indexed: 11/19/2022]
Abstract
Apart from the obvious benefit of "trash-to-treasure", the acquisition of natural nanomaterials from cheap and renewable waste has been intensively researched because of various bioactivities and physical-chemical features. Herein, for the first time, we employed natural cuttlefish ink nanoparticles (CINPs) as a multifunctional label and designed colorimetric-photothermal dual-mode lateral flow immunoassays (CINPs-mediated CPLFIA) for sensitive detection of clenbuterol (CL). The accessibility and renewability of CINPs overcome barriers that artificial nanomaterials face, such as complex manufacturing and relatively high costs. Additionally, inspired by the mussel adhesion, the bio-affinity of CINPs, such as antibody coupling and preservation, was investigated and showed to be considerably superior to Au NPs, leading to significantly increased immunosensor sensitivity. Meanwhile, CINPs exhibit excellent photothermal conversion efficiency for dual-signal production, avoiding the effect of environmental elements (particularly light) for colorimetric mode. Besides, the biosensor was integrated with a smartphone and a thermal imager for portable sensing. After optimization, the detection limit of CINPs-mediated CPLFIA was 0.179 ng mL-1 (colorimetric mode) and 0.076 ng mL-1 (photothermal mode), which were significantly lower than traditional gold nanoparticles-based LFIA (0.786 ng mL-1). This research attempted to explain the rise in sensitivity. From food waste to food supervision, this research explores the hidden value of natural resources.
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Affiliation(s)
- Rui Shu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yanmin Liang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Sijie Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Leina Dou
- College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, And Beijing Laboratory for Food Quality and Safety, Beijing, 100193, China
| | - Tong Bu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Shaochi Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Xi Lan
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jing Sun
- Qinghai Provincial Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Qinghai, 810008, China
| | - Mingqiang Zhu
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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38
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Cheng H, Wang Z, Sun H, Chen B, Huang J, Jia R, He X, Wang K. Colorimetric and electrochemical integrated dual-mode detection of glucose by utilizing CoOOH@Cu nanosheets as peroxidase mimetics. Chem Commun (Camb) 2022; 58:13487-13490. [PMID: 36383163 DOI: 10.1039/d2cc05578c] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Herein, we developed a colorimetric and electrochemical integrated dual-mode assay for glucose detection by utilizing CoOOH@Cu nanosheets as peroxidase mimetics. With the advantages of self-calibration, sensitivity and lower sample cost, this designed dual-mode assay offers great potential in blood glucose analysis.
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Affiliation(s)
- Hong Cheng
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha 410082, China.
| | - Zhaoyang Wang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha 410082, China.
| | - Huanhuan Sun
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha 410082, China.
| | - Biao Chen
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha 410082, China.
| | - Jin Huang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha 410082, China.
| | - Ruichen Jia
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha 410082, China.
| | - Xiaoxiao He
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha 410082, China.
| | - Kemin Wang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha 410082, China.
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39
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Pan Y, Han Z, Chen S, Wei K, Wei X. Metallic nanoclusters: From synthetic challenges to applications of their unique properties in food contamination detection. Coord Chem Rev 2022. [DOI: 10.1016/j.ccr.2022.214964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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40
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Xie Z, Feng S, Pei F, Xia M, Hao Q, Liu B, Tong Z, Wang J, Lei W, Mu X. Magnetic/fluorescent dual-modal lateral flow immunoassay based on multifunctional nanobeads for rapid and accurate SARS-CoV-2 nucleocapsid protein detection. Anal Chim Acta 2022; 1233:340486. [PMID: 36283777 PMCID: PMC9544234 DOI: 10.1016/j.aca.2022.340486] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 09/27/2022] [Accepted: 10/04/2022] [Indexed: 11/03/2022]
Abstract
The SARS-CoV-2 pandemic has posed a huge challenge to rapid and accurate diagnosis of SARS-CoV-2 in the early stage of infection. In this work, we developed a novel magnetic/fluorescent dual-modal lateral flow immunoassay (LFIA) based on multifunctional nanobeads for rapid and accurate determination of SARS-CoV-2 nucleocapsid protein (NP). The multifunctional nanobeads were fabricated by using polyethyleneimine (PEI) as a mediate shell to combine superparamagnetic Fe3O4 core with dual quantum dot shells (MagDQD). The core-shell structure of MagDQD label with high loading density of quantum dots (QDs) and superior magnetic content realized LFIA with dual quantitative analysis modal from the assemblies of individual single nanoparticles. The LFIA integrated the advantages of magnetic signal and fluorescent signal, resulting excellent accuracy for quantitative analysis and high elasticity of the overall detection. In addition, magnetic signal and fluorescent signal both had high sensitivity with the limit of detection (LOD) as 0.235 ng mL-1 and 0.012 ng mL-1, respectively. The recovery rates of the methods in simulated saliva samples were 91.36%-103.60% (magnetic signal) and 94.39%-104.38% (fluorescent signal). The results indicate the method has a considerable potential to be an effective tool for diagnose SARS-CoV-2 in the early stage of infection.
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Affiliation(s)
- Zihao Xie
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Shasha Feng
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Fubin Pei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Mingzhu Xia
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China
| | - Qingli Hao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China
| | - Bing Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Zhaoyang Tong
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Jiang Wang
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Wu Lei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China,Corresponding author
| | - Xihui Mu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China,Corresponding author
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41
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Zhang T, Quan X, Cao N, Zhang Z, Li Y. Label-Free Detection of DNA via Surface-Enhanced Raman Spectroscopy Using Au@Ag Nanoparticles. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:nano12183119. [PMID: 36144907 PMCID: PMC9505376 DOI: 10.3390/nano12183119] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/03/2022] [Accepted: 09/04/2022] [Indexed: 06/12/2023]
Abstract
DNA is a building block of life; surface-enhanced Raman spectroscopy (SERS) has been broadly applied in the detection of biomolecules but there are challenges in obtaining high-quality DNA SERS signals under non-destructive conditions. Here, we developed a novel label-free approach for DNA detection based on SERS, in which the Au@AgNPs core-shell structure was selected as the enhancement substrate, which not only solved the problem of the weak enhancement effect of gold nanoparticles but also overcame the disadvantage of the inhomogeneous shapes of silver nanoparticles, thereby improving the sensitivity and reproducibility of the SERS signals of DNA molecules. The method obtained SERS signals for four DNA bases (A, C, G, and T) without destroying the structure, then further detected and qualified different specific structures of DNA molecules. These results promote the application of SERS technology in the field of biomolecular detection.
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Affiliation(s)
- Ting Zhang
- Department of Pharmaceutical Analysis and Analytical Chemistry, Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin 150081, China
| | - Xubin Quan
- Department of Pharmaceutical Analysis and Analytical Chemistry, Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin 150081, China
| | - Naisi Cao
- Department of Pharmaceutical Analysis and Analytical Chemistry, Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin 150081, China
| | - Zhaoying Zhang
- The Fourth Hospital of Harbin Medical University, Harbin 150001, China
| | - Yang Li
- Department of Pharmaceutical Analysis and Analytical Chemistry, Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin 150081, China
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42
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Shen W, Wang C, Zheng S, Jiang B, Li J, Pang Y, Wang C, Hao R, Xiao R. Ultrasensitive multichannel immunochromatographic assay for rapid detection of foodborne bacteria based on two-dimensional film-like SERS labels. JOURNAL OF HAZARDOUS MATERIALS 2022; 437:129347. [PMID: 35753301 DOI: 10.1016/j.jhazmat.2022.129347] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/30/2022] [Accepted: 06/08/2022] [Indexed: 05/26/2023]
Abstract
Rapid and sensitive detection of multiple foodborne bacteria without DNA amplification is still challenging. Here, we proposed an immunochromatographic assay (ICA) with multiplex analysis ability and high sensitivity for direct detection of bacteria in real food samples, based on an improved surface-enhanced Raman scattering (SERS) sensing strategy. Multifunctional Au shell-coated graphene oxide nanosheets (GO@Au) were fabricated and for the first time introduced into the ICA system as a two-dimensional film-like SERS label, which possessed huge surface area, excellent stability, and superior SERS activity. Different from the conventional spherical nanotags, the antibody-conjugated GO@Au nanosheet effectively and rapidly adhered to bacterial cells, improved the dispersibility of bacteria-nanolabel complexes on the ICA strips, and provided numerous stable hotspots for SERS signal enhancement. The combination of GO@Au labels and the ICA system achieved the multiplex and ultrasensitive determination of three major foodborne pathogens, namely, Staphylococcus aureus, Escherichia coli O157:H7, and Salmonella typhimurium, in a single test, with low detection limits (8, 10, and 10 cells/mL) and short detection time (20 min). The proposed biosensor demonstrated high stability and good accuracy in various food samples and is thus a promising tool for the rapid identification of bacteria.
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Affiliation(s)
- Wanzhu Shen
- School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Institute of Microbiology and Epidemiology, Beijing, PR China
| | - Chaoguang Wang
- College of Intelligence Science, National University of Defense Technology, Changsha 410073, PR China
| | - Shuai Zheng
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Bo Jiang
- School of Public Health, Capital Medical University, Beijing 100069, PR China
| | - Jiaxuan Li
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Yuanfeng Pang
- School of Public Health, Capital Medical University, Beijing 100069, PR China
| | - Chongwen Wang
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China.
| | - Rongzhang Hao
- School of Public Health, Capital Medical University, Beijing 100069, PR China.
| | - Rui Xiao
- Beijing Institute of Microbiology and Epidemiology, Beijing, PR China.
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43
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Wu T, Li J, Zheng S, Yu Q, Qi K, Shao Y, Wang C, Tu J, Xiao R. Magnetic Nanotag-Based Colorimetric/SERS Dual-Readout Immunochromatography for Ultrasensitive Detection of Clenbuterol Hydrochloride and Ractopamine in Food Samples. BIOSENSORS 2022; 12:bios12090709. [PMID: 36140094 PMCID: PMC9496078 DOI: 10.3390/bios12090709] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 08/28/2022] [Accepted: 08/28/2022] [Indexed: 12/29/2022]
Abstract
Direct and sensitive detection of multiple illegal additives in complex food samples is still a challenge in on-site detection. In this study, an ultrasensitive immunochromatographic assay (ICA) using magnetic Fe3O4@Au nanotags as a capture/detection difunctional tool was developed for the direct detection of β2-adrenoceptor agonists in real samples. The Fe3O4@Au tag is composed of a large magnetic core (~160 nm), a rough Au nanoshell, dense surface-modified Raman molecules, and antibodies, which cannot only effectively enrich targets from complex solutions to reduce the matrix effects of food samples and improve detection sensitivity, but also provide strong colorimetric/surface-enhanced Raman scattering (SERS) dual signals for ICA testing. The dual readout signals of the proposed ICA can meet the detection requirements in different environments. Specifically, the colorimetric signal allows for rapid visual detection of the analyte, and the SERS signal is used for the sensitive and quantitative detection modes. The proposed dual-signal ICA can achieve the simultaneous determination of two illegal additives, namely, clenbuterol hydrochloride and ractopamine. The detection limits for the two targets via colorimetric and SERS signals were down to ng mL−1 and pg mL−1 levels, respectively. Moreover, the proposed assay has demonstrated high accuracy and stability in real food samples.
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Affiliation(s)
- Ting Wu
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
| | - Jiaxuan Li
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
| | - Shuai Zheng
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Qing Yu
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Kezong Qi
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Ying Shao
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Chongwen Wang
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
- Correspondence: (C.W.); (J.T.); (R.X.)
| | - Jian Tu
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Correspondence: (C.W.); (J.T.); (R.X.)
| | - Rui Xiao
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
- Correspondence: (C.W.); (J.T.); (R.X.)
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Raman Spectroscopy for Food Quality Assurance and Safety Monitoring: A Review. Curr Opin Food Sci 2022. [DOI: 10.1016/j.cofs.2022.100910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Yin L, You T, El-Seedi HR, El-Garawani IM, Guo Z, Zou X, Cai J. Rapid and sensitive detection of zearalenone in corn using SERS-based lateral flow immunosensor. Food Chem 2022; 396:133707. [PMID: 35853376 DOI: 10.1016/j.foodchem.2022.133707] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 07/12/2022] [Accepted: 07/12/2022] [Indexed: 11/29/2022]
Abstract
Zearalenone (ZEN) is a universal mycotoxin contaminant in corn and its products. A surface-enhanced Raman scattering (SERS) based test strip was proposed for the detection of ZEN, which had the advantages of simplicity, rapidity, and high sensitivity. Core-shell Au@AgNPs with embedded reporter molecules (4-MBA) were synthesized as SERS nanoprobe, which exhibited excellent SERS signals and high stability. The detection range of ZEN for corn samples was 10-1000 μg/kg with the limit of detection (LOD) of 3.6 μg/kg, which is far below the recommended tolerable level (60 μg/kg). More importantly, the SERS method was verified by HPLC in the application on corn samples contaminated with ZEN, and the coincidence rates were in the range of 86.06%-111.23%, suggesting a high accuracy of the SERS assay. Therefore, the SERS-based test strip with an analysis time of less than 15 min is a promising tool for accurate and rapid detection of ZEN-field contamination.
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Affiliation(s)
- Limei Yin
- Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
| | - Tianyan You
- Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Hesham R El-Seedi
- Pharmacognosy Group, Department of Pharmaceutical Biosciences, BMC, Uppsala University, Box 591, SE-751 24 Uppsala, Sweden
| | - Islam M El-Garawani
- Department of Zoology, Faculty of Science, Menoufia University, Menoufia 32511, Egypt
| | - Zhiming Guo
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang 212013, China
| | - Xiaobo Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang 212013, China
| | - Jianrong Cai
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
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Luo H, Liu S, Shi L, Li Z, Bai Q, Du X, Wang L, Zha H, Li C. Paper-Based Fluidic Sensing Platforms for β-Adrenergic Agonist Residue Point-of-Care Testing. BIOSENSORS 2022; 12:bios12070518. [PMID: 35884321 PMCID: PMC9313176 DOI: 10.3390/bios12070518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 07/07/2022] [Accepted: 07/08/2022] [Indexed: 11/16/2022]
Abstract
The illegal use of β-adrenergic agonists during livestock growth poses a threat to public health; the long-term intake of this medication can cause serious physiological side effects and even death. Therefore, rapid detection methods for β-adrenergic agonist residues on-site are required. Traditional detection methods such as liquid chromatography have limitations in terms of expensive instruments and complex operations. In contrast, paper methods are low cost, ubiquitous, and portable, which has led to them becoming the preferred detection method in recent years. Various paper-based fluidic devices have been developed to detect β-adrenergic agonist residues, including lateral flow immunoassays (LFAs) and microfluidic paper-based analytical devices (μPADs). In this review, the application of LFAs for the detection of β-agonists is summarized comprehensively, focusing on the latest advances in novel labeling and detection strategies. The use of μPADs as an analytical platform has attracted interest over the past decade due to their unique advantages and application for detecting β-adrenergic agonists, which are introduced here. Vertical flow immunoassays are also discussed for their shorter assay time and stronger multiplexing capabilities compared with LFAs. Furthermore, the development direction and prospects for the commercialization of paper-based devices are considered, shedding light on the development of point-of-care testing devices for β-adrenergic agonist residue detection.
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Affiliation(s)
- Hongzhi Luo
- Department of Laboratory Medicine, The Third Affiliated Hospital of Zunyi Medical University (The First People’s Hospital of Zunyi), Zunyi 563002, China;
| | - Shan Liu
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Department of Medical Genetics, Department of Laboratory Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, University of Electronic Science and Technology, Chengdu 610072, China;
| | - Lina Shi
- School of Medicine, University of Electronic Science and Technology of China, Chengdu 610054, China;
| | - Zhu Li
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China;
| | - Qianwen Bai
- Sichuan Jinxin Women & Children Hospital, Chengdu 610066, China;
| | - Xiaoxin Du
- Office of Scientific Research & Development, University of Electronic Science and Technology, Chengdu 610054, China;
| | - Lijun Wang
- Department of Ophthalmology, The Third People’s Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China
- Correspondence: (L.W.); (H.Z.); (C.L.)
| | - He Zha
- Department of Laboratory Medicine, The Third Affiliated Hospital of Zunyi Medical University (The First People’s Hospital of Zunyi), Zunyi 563002, China;
- Correspondence: (L.W.); (H.Z.); (C.L.)
| | - Chenzhong Li
- Department of Biochemistry and Molecular Biology, School of Medicine, Tulane University, New Orleans, LA 70112, USA
- Correspondence: (L.W.); (H.Z.); (C.L.)
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Li Q, Li X, Zhou P, Chen R, Xiao R, Pang Y. Split aptamer regulated CRISPR/Cas12a biosensor for 17β-estradiol through a gap-enhanced Raman tags based lateral flow strategy. Biosens Bioelectron 2022; 215:114548. [PMID: 35870335 DOI: 10.1016/j.bios.2022.114548] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/06/2022] [Accepted: 07/04/2022] [Indexed: 12/26/2022]
Abstract
It is significant to exploit the full potential of CRISPR/Cas based biosensor for non-nucleic-acid targets. Here, we developed a split aptamer regulated CRISPR/Cas12a and gap-enhanced Raman tags based lateral flow biosensor for small-molecule target, 17β-estradiol. In this assay, one split aptamer of 17β-estradiol was designed to complement with crRNA of Cas12a so that the trans-cleavage ability of CRISPR/Cas12a can be regulated by the competitive binding of 17β-estradiol and split aptamers. Through integration of the signal amplification ability of CRISPR/Cas12a and the ultra-sensitive gap-enhanced Raman tags based lateral flow assay, a visible-SERS dual mode determination of 17β-estradiol can be established. 17β-estradiol can be visibly recognized as low as 10 pM and accurately quantified with a detection limit of 180 fM by SERS signals, which is at least 103-fold lower than that of the previous immunoassay lateral flow strategies. Our assay provides a novel perspective to develop split aptamer regulated CRISPR/Cas12a coupling with SERS lateral flow strips for ultrasensitive and easy-to-use non-nucleic-acid targets detection.
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Affiliation(s)
- Qing Li
- Capital Medical University, Department of Toxicology, No. 10 Xitoutiao, You An Men, Beijing, 100069, PR China
| | - Xiaobo Li
- Capital Medical University, Department of Toxicology, No. 10 Xitoutiao, You An Men, Beijing, 100069, PR China
| | - Pengyou Zhou
- Capital Medical University, Department of Toxicology, No. 10 Xitoutiao, You An Men, Beijing, 100069, PR China
| | - Rui Chen
- Capital Medical University, Department of Toxicology, No. 10 Xitoutiao, You An Men, Beijing, 100069, PR China.
| | - Rui Xiao
- Beijing Institute of Microbiology and Epidemiology, 27 Taiping Road, 100850, Beijing, PR China.
| | - Yuanfeng Pang
- Capital Medical University, Department of Toxicology, No. 10 Xitoutiao, You An Men, Beijing, 100069, PR China.
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48
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Liu S, Shu R, Nie C, Li Y, Luo X, Ji Y, Yin X, Sun J, Zhang D, Wang J. Bioresource-derived tannic acid-supported immuno-network in lateral flow immunoassay for sensitive clenbuterol monitoring. Food Chem 2022; 382:132390. [DOI: 10.1016/j.foodchem.2022.132390] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 01/16/2022] [Accepted: 02/06/2022] [Indexed: 12/14/2022]
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49
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Chen M, Zhang J, Zhu X, Liu Z, Huang J, Jiang X, Fu F, Lin Z, Dong Y. Hybridizing Silver Nanoparticles in Hydrogel for High-Performance Flexible SERS Chips. ACS APPLIED MATERIALS & INTERFACES 2022; 14:26216-26224. [PMID: 35605108 DOI: 10.1021/acsami.2c04087] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
An ideal surface-enhanced Raman scattering (SERS) substrate should have high sensitivity, long-term stability, excellent repeatability, and strong anti-interference. In the present work, single-layer carbon-based dot (CD)-capped Ag nanoparticle aggregates (a-AgNPs/CDs) with high SERS activity are synthesized and hybridized with a hydrogel to prepare novel hydrogel SERS chips. Benefiting from the unique properties of a-AgNPs/CDs and the hydrogel, the constructed hydrogel SERS chips show excellent performances. Taking crystal violet detection as an example, the hydrogel SERS chips show a detection limit of around 1 × 10-16 mol/L (high sensitivity), maintain above 96.40% of SERS activity even after 14 weeks of storage (long-term stability), and display point-to-point relative standard deviation (RSD) in one chip as low as 1.43% (outstanding repeatability) and RSD in different chips as low as 2.75% (excellent reproducibility). Furthermore, the self-extraction effect of the hydrogel enables the flexible hydrogel SERS chips to be used for analyzing various real samples including soybean milk, juices, and fruits without any complex pretreatment. For instance, the hydrogel SERS chips are able to detect trace thiram and 2-(4-thiazolyl)benzimidazole with the detection limits of 1 and 5 ppb in liquid samples, respectively, and of 1 and 2.5 ng/cm2 on the peel of fruits, respectively. The self-extraction functional flexible SERS chips offer a reliable and convenient platform for the quick detection and on-site monitoring of chemical contaminants.
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Affiliation(s)
- Mingming Chen
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350025, China
| | - Jiaxin Zhang
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350025, China
| | - Xiajun Zhu
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350025, China
| | - Zhihong Liu
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350025, China
| | - Jianli Huang
- Institute of Grain and Oil Quality Supervision and Test of Fujian, Fuzhou 350012, China
| | - Xianchai Jiang
- College of Chemical Engineering, Fuzhou University, Fuzhou 350025, China
| | - Fengfu Fu
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350025, China
| | - Zhenyu Lin
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350025, China
| | - Yongqiang Dong
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350025, China
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50
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Liu B, Zheng S, Tang H, Liu Q, Li H, Gao B, Zhao X, Sun F. Highly sensitive detection of free testosterone assisted by magnetic nanobeads and gap-enhanced SERS nanotags. Colloids Surf B Biointerfaces 2022; 214:112460. [PMID: 35298951 DOI: 10.1016/j.colsurfb.2022.112460] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 03/07/2022] [Accepted: 03/10/2022] [Indexed: 01/03/2023]
Abstract
The quantitative determination of trace free testosterone (FT) is of great significance for the diagnosis of androgen-related endocrine diseases. Herein, a fascinating detection protocol was developed for highly sensitive FT analysis through a competitive immunoassay mechanism, which was composed of magnetic nanobeads (MNBs) and gap-enhanced surface enhanced Raman scattering (SERS) nanotags. With the MNBs as detection carriers, trace FT could be enriched by simple magnetic separation. The SERS nanotag constructed with silver-gold core-shell nanoparticle was acted as quantitative label, and Raman indicators were located at the interface between silver core and gold shell. It is demonstrated that the as-proposed protocol achieves high detection sensitivity for FT of 12.11 fg mL-1, and wider linear dynamic detection range (LDR) in the concentration of 100 fg mL-1 to 100 ng mL-1 with R2 value of 0.979, which is due to the enhanced Raman signal of the gap-enhanced SERS nanotag and the high surface-to-volume ratio of the MNB, respectively. Taking advantages of such sensitivity and accuracy approach, the as-developed powerful strategy presents potential applications for rapid disease diagnosis through analyzing trace levels of FT, and can also provide guidance for the exploitation of analysis project of other analytes.
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Affiliation(s)
- Bing Liu
- Medical School, Institute of Reproductive Medicine, Nantong University, Nantong 226001, China.
| | - Shiya Zheng
- Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Hanyu Tang
- Medical School, Institute of Reproductive Medicine, Nantong University, Nantong 226001, China
| | - Qian Liu
- Medical School, Institute of Reproductive Medicine, Nantong University, Nantong 226001, China
| | - Haitao Li
- Medical School, Institute of Reproductive Medicine, Nantong University, Nantong 226001, China
| | - Bingbing Gao
- School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 211816, China
| | - Xiangwei Zhao
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China; Southeast University Shenzhen Research Institute, Shenzhen 518000, China.
| | - Fei Sun
- Medical School, Institute of Reproductive Medicine, Nantong University, Nantong 226001, China.
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