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Zhao H, Zhao H, Wang J, Ren J, Yao J, Li Y, Zhang R. Bovine Omasum-Inspired Interfacial Carbon-Based Nanocomposite for Saliva Metabolic Screening of Gastric Cancer. Anal Chem 2023; 95:11296-11305. [PMID: 37458487 DOI: 10.1021/acs.analchem.3c01358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Gastric cancer is one of the most common malignant digestive cancers, and its diagnostic has still faced challenges based on metabolic analysis due to complex sample pretreatment and low metabolite abundance. In this study, inspired by the structure of bovine omasum, we in situ synthesized a novel interfacial carbon-based nanocomposite of graphene supported nickel nanoparticles-encapsulated in the nitrogen-doped carbon nanotube (Ni/N-CNT/rGO), which was served as a novel matrix with enhanced ionization efficiency for the matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) saliva metabolic analysis of gastric cancer. Benefiting from its high sp2 graphitic degree, large surface area, strong UV absorption, and rich active sites, Ni/N-CNT/rGO matrix exhibited excellent performances of reproducibility, coverage, salt-tolerance, sensitivity, and adsorption ability in MALDI-TOF MS. The differential scanning calorimetry (DSC) and thermal conversion behaviors explained the highly efficient LDI mechanism. Based on saliva metabolic fingerprints, Ni/N-CNT/rGO assisted LDI MS with cross-validation analysis could successfully distinguish gastric cancer patients from healthy controls through the screening of four potential biomarkers with an accuracy of 92.50%, specificity of 88.03%, and sensitivity of 97.12%. This work provided a fast and sensitive MS sensing platform for the metabolomics characterization of gastric cancer and might have potential value for precision medicine in the future.
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Affiliation(s)
- Huifang Zhao
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, China
- School of Basic Medical Sciences, Shanxi Medical University, Taiyuan 030001, China
| | - Huayu Zhao
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, China
| | - Jie Wang
- CAS Key Laboratory of Carbon Materials, Analytical Instrumentation Center & State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China
| | - Jianying Ren
- School of Basic Medical Sciences, Shanxi Medical University, Taiyuan 030001, China
| | - Jia Yao
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, China
| | - Yanqiu Li
- CAS Key Laboratory of Carbon Materials, Analytical Instrumentation Center & State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China
| | - Ruiping Zhang
- The Radiology Department of First Hospital of Shanxi Medical University, Taiyuan 030001, China
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Khajavinia A, El-Aneed A. Carbon-Based Nanoparticles and Their Surface-Modified Counterparts as MALDI Matrices. Anal Chem 2023; 95:100-114. [PMID: 36625120 DOI: 10.1021/acs.analchem.2c04537] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Amir Khajavinia
- College of Pharmacy and Nutrition, Drug Discovery and Development Research Group, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
| | - Anas El-Aneed
- College of Pharmacy and Nutrition, Drug Discovery and Development Research Group, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
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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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Jing H, Ouyang H, Li W, Long Y. Molten salt synthesis of BCNO nanosheets for the electrochemical detection of clenbuterol. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107359] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Xiao S, Sun L, Lu J, Dong Z. A label-free aptasensor for rapid detection of clenbuterol based on SYBR GREEN I. NEW J CHEM 2022. [DOI: 10.1039/d2nj01959k] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A label-free fluorescent biosensor based on clenbuterol binding aptamer and the fluorescent intercalator SYBR Green I (SGI) was established for the sensitive and selective detection of clenbuterol. In the absence...
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Su L, Hu H, Tian Y, Jia C, Wang L, Zhang H, Wang J, Zhang D. Highly Sensitive Colorimetric/Surface-Enhanced Raman Spectroscopy Immunoassay Relying on a Metallic Core-Shell Au/Au Nanostar with Clenbuterol as a Target Analyte. Anal Chem 2021; 93:8362-8369. [PMID: 34077199 DOI: 10.1021/acs.analchem.1c01487] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Lateral flow immunoassay (LFIA) has emerged as an effective technique in the field of food safety and environmental monitoring. However, sensitive and quantitative detection is still challenging for LFIAs in complex environments. In this work, a dual-model colorimetric/SERS lateral flow immunoassay for ultrasensitive determination of clenbuterol was constructed based on a metallic core-shell Au/Au nanostar acting as a multifunction tag. Raman reporter molecules are located between the core (AuNP) and shell (Au nanostar) to form a sandwich structure, which contributes to eliminate the environmental interference and improve the detection stability. In addition, the Au/Au nanostar provides a much higher Raman enhancement due to the presence of sharp tips and larger surface roughness in comparison with gold nanoparticles (AuNPs). Thus, on the basis of the antibody-antigen interaction, the dual-model immunoassay can produce strong colorimetric and surface-enhanced Raman spectroscopy (SERS) signals for highly sensitive detection of the target analyte, clenbuterol. Under optimal conditions, clenbuterol could be detected by the colorimetric model with a visual detection limit of 5 ng/mL. Meanwhile, the SERS signal of the Au/Au nanostar was accumulated on the test line for the SERS model detection with a quantitative detection limit as low as 0.05 ng/mL, which is at least 200-fold lower than that of the traditional AuNPs-based immunoassay. Furthermore, recovery rates of the proposed method in food samples were 86-110%. This dual-model immunoassay provides an effective tool for antibiotic residues analysis and demonstrates a broad potential for future applications in food safety monitoring.
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Affiliation(s)
- Lihong Su
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shanxi, 712100 China
| | - Huilan Hu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shanxi, 712100 China
| | - Yanli Tian
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shanxi, 712100 China
| | - Conghui Jia
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shanxi, 712100 China
| | - Lulu Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shanxi, 712100 China
| | - Han Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shanxi, 712100 China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shanxi, 712100 China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shanxi, 712100 China
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