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Wang Y, Shen J, Song R, Xu Q, Hu X, Shu Y. Highly bright and stable CsPbBr 3 perovskite nanocrystals with amphiphilic polymer binding based dual-readout lateral flow immunoassay for detection of carcinoembryonic antigen. Talanta 2024; 266:125017. [PMID: 37541002 DOI: 10.1016/j.talanta.2023.125017] [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: 06/02/2023] [Revised: 07/24/2023] [Accepted: 07/29/2023] [Indexed: 08/06/2023]
Abstract
Rapid and highly sensitive detection of tumor marker (TM) is critical for the early diagnosis and treatment of cancers. Herein, utilizing highly bright and water-stable CsPbBr3 perovskite nanocrystals (NCs) capped with amphiphilic polymer ligand of octylamine-modified polyacrylic acid (OPA) and gold nanoparticles (AuNPs) as reporters, a lateral flow immunoassay (LFIA) strip is developed for fluorescence and colorimetric dual-mode detection of carcinoembryonic antigen (CEA). The prepared CsPbBr3 NCs capped by an amphiphilic polymeric of OPA ligand showed high stability and bright fluorescence. Moreover, the AuNPs immunoprobes were captured with CEA antigen and quench the green fluorescence of CsPbBr3/OPA NCs on the T line due to the inner filter effect (IFE). Therefore, CEA could be quantitative analyzed by the dual-readout of fluorescence and colorimetric signal. The detection limits of CEA can reach as low as 0.023 ng/mL and 0.027 ng/mL for the fluorescence and colorimetric mode, respectively. Good specificity and reproducibility were also demonstrated for this method. Finally, the CsPbBr3/OPA NCs-based LFIA showed good accuracy in detection of CEA level from clinical serum samples. This work firstly enables the application of CsPbBr3 perovskite NCs in a LFIA, displaying great potential in point-of-care clinical diagnosis.
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Affiliation(s)
- Yan Wang
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, PR China
| | - Jin Shen
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, PR China
| | - Ruilong Song
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, 225002, PR China
| | - Qin Xu
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, PR China
| | - Xiaoya Hu
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, PR China
| | - Yun Shu
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, PR China.
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2
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Quan C, Quan L, Wen Q, Yang M, Li T. Alanine aminotransferase electrochemical sensor based on graphene@MXene composite nanomaterials. Mikrochim Acta 2023; 191:45. [PMID: 38114837 DOI: 10.1007/s00604-023-06131-0] [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: 10/05/2023] [Accepted: 11/29/2023] [Indexed: 12/21/2023]
Abstract
Graphene@MXene composite nanomaterials were utilized to construct an electrochemical sensor for alanine aminotransferase (ALT) detection. The combination of graphene nanosheets with MXene avoids the self-stacking of MXene and graphene, and broadens the charge transfer channel. In addition, the composite nanomaterial provides increased loading sites for pyruvate oxidase. The principle of ALT detection is a two-step enzymatic reaction. L-Alanine was initially transferred to pyruvate catalyzed by ALT. The formed pyruvate was then oxidized by pyruvate oxidase, generating H2O2. Through the detection of the generated H2O2, ALT activity was measured. The linear range of the sensor to ALT was from 5 to 400 U·L-1 with a detection limit of 0.16 U·L-1 (S/N = 3). For real sample analysis, the spiked recovery test results of ALT in serum samples were between 96.89 and 103.93% with RSD < 5%, confirming the reliability of the sensor testing results and potential clinical application of the sensor.
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Affiliation(s)
- Changyun Quan
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China
- Cofoe Medical Technology Co., Ltd, No.816 Zhenghua Road, Changsha, 410000, China
| | | | - Qinying Wen
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China
| | - Minghui Yang
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
| | - Ting Li
- Department of Liver Transplantation, The Second Xiang-Ya Hospital, Central South University, Changsha, 410011, China.
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Chen G, Chen X, Xu G, Wei X, Lin X, Su Y, Xiong Y, Huang X. Ultrabright orange-yellow aggregation-induced emission nanoparticles for highly sensitive immunochromatographic quantification of ochratoxin A in corn. Food Chem 2023; 412:135580. [PMID: 36736185 DOI: 10.1016/j.foodchem.2023.135580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 01/16/2023] [Accepted: 01/24/2023] [Indexed: 01/28/2023]
Abstract
Herein, we report a novel aggregation-induced emission nanoparticles (AIENPs)-based immunochromatography assay (ICA) platform to detect ochratoxin A (OTA) using orange-yellow-emitting AIENPs as fluorescent nanoprobes. Immunochromatographic strip is used for the quantitative detection of OTA in crop matrix using AIENPs coupled with anti-OTA ascites. Under optimal conditions, AIENPs-ICA exhibits stronger signal output capacity and higher sensitivity than traditional gold nanoparticles-based ICA. The half-maximal inhibitory concentration is as low as 0.149 ng mL-1, and the limit detection is 0.042 ng mL-1 at 10 % competitive inhibition concentration. The average recovery of AIENPs-ICA ranges from 82.60 % to 113.14 % with the coefficient of variation ranging from 1.26 % to 11.57 %, proving the proposed method possesses good reliability and reproducibility. Moreover, the developed AIENPs-ICA exhibits negligible cross-reactions with other mycotoxins. We believe the presented AIENPs-ICA platform holds promising potential as a powerful tool for on-site detection of OTA and other molecules detection in food samples.
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Affiliation(s)
- Guoxin Chen
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Xirui Chen
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Ge Xu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Xiaxia Wei
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Xiangkai Lin
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Yu Su
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China; Jiangxi-OAI Joint Research Institute, Nanchang University, Nanchang 330047, PR China
| | - Xiaolin Huang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.
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Li Y, Huang Z, Li Z, Li C, Liu R, Lv Y. Mass Spectrometric Multiplex Detection of MicroRNA and Protein Biomarkers for Liver Cancer. Anal Chem 2022; 94:17248-17254. [PMID: 36448711 DOI: 10.1021/acs.analchem.2c04171] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
The occurrence of cancers is often accompanied by the abnormal expression of several sorts of biomarkers (e.g., nucleic acids and proteins). The multiplex assessment of them would substantially aid in the early detection and precise diagnosis, which is often hampered by their different detection schemes, different reaction matrix and reagents, and spectral overlapping. Herein, we propose a simple and sensitive mass spectrometric method for the multiplex detection of nucleic acid and protein, in which liver cancer-related biomarkers miRNA 223 and alpha-fetoprotein (AFP) were selected as model analytes. The self-amplification effect of metal atom-based nanoparticle probes can provide high sensitivity in complex serum samples without any additional amplification procedure. The detection limits for the simultaneous detection of miRNA 223 and AFP were 103 (2.1 pM) and 219 amol (0.15 ng/mL), respectively, with high specificity and selectivity. The proposed method is potentially useful for the rapid screening of cancers.
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Affiliation(s)
- Yan Li
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064 Sichuan, China
| | - Zili Huang
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064 Sichuan, China
| | - Ziyan Li
- Analytical & Testing Center, Sichuan University, Chengdu 610064 Sichuan, China
| | - Caixia Li
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064 Sichuan, China
| | - Rui Liu
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064 Sichuan, China
| | - Yi Lv
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064 Sichuan, China.,Analytical & Testing Center, Sichuan University, Chengdu 610064 Sichuan, China
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Huang Z, Zhao X, Hu J, Zhang C, Xie X, Liu R, Lv Y. Single-Nanoparticle Differential Immunoassay for Multiplexed Gastric Cancer Biomarker Monitoring. Anal Chem 2022; 94:12899-12906. [PMID: 36069220 DOI: 10.1021/acs.analchem.2c03013] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Precision medicine demands the best application of multiple unambiguous biomarkers to bring uniform decisions in disease prognosis. The remarkable development of heterogeneous immunoassay greatly promotes precision medicine when combined with the biomarker combination strategy. Nevertheless, the cumbersome washing steps in heterogeneous immunoassay have inevitably compromised the accuracy because of the sample losses and nature change of the matrix, challenging the further exploration of a more facile and lower limit-of-detection analysis. The new methodologies with high throughputs and specificity are never out of date to provide simultaneous evaluations and uniform decisions on multiple analytes through a simple process. Herein, we propose a new wash-free immunoassay, named differential assay, for multiplexed biomarker monitoring. The method is based on counting the number difference of unbound nanoparticle tags before and after immunoreactions from a solid support (i.e., magnetic microsphere) by single-particle inductively coupled plasma mass spectrometry (sp-ICP-MS), discarding the tedious washing steps. We primarily explore the proof-of-concept proposal within two types (sandwich and competitive assay), demonstrating the good feasibility for further facile clinical practice. To provide efficient multiplexed evaluations, we synthesized PtNPs with four diameters and screened the most suitable size for efficient differential immunoassay. The wash-free strategy was successfully utilized in simultaneous serological biomarker (CA724, CA199, and CEA) evaluation, with results in good accordance with those measured by the clinical routine method. Potentially, the proposed differential bioassay can be regarded as a more facile and valuable tool in malignancy prognosis and cancer recurrence monitoring.
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Affiliation(s)
- Zili Huang
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, Sichuan, P. R. China
| | - Xin Zhao
- Department of Clinical Laboratory, Chengdu Seventh People's Hospital, Chengdu 610041, Sichuan, P. R. China
| | - Jianyu Hu
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta T6G 2G3, Canada
| | - Chengchao Zhang
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, Sichuan, P. R. China
| | - Xiaobo Xie
- Analytical & Testing Center, Sichuan University, Chengdu 610064, P. R. China
| | - Rui Liu
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, Sichuan, P. R. China
| | - Yi Lv
- Analytical & Testing Center, Sichuan University, Chengdu 610064, P. R. China
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Wen M, Li J, Zhong W, Xu J, Qu S, Wei H, Shang L. High-Throughput Colorimetric Analysis of Nanoparticle-Protein Interactions Based on the Enzyme-Mimic Properties of Nanoparticles. Anal Chem 2022; 94:8783-8791. [PMID: 35676761 DOI: 10.1021/acs.analchem.2c01618] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
While an in-depth understanding of the biological behavior of engineered nanoparticles (NPs) is of great importance for their various applications, it remains challenging to quantitatively characterize NP-protein interactions in a simple and high-throughput manner. In the present work, we propose a new, colorimetric approach capable of quantitatively analyzing the adsorption of proteins onto the surface of NPs by their distinct peroxidase-mimic properties. Taking cationic AuNPs as an example, we demonstrate that this colorimetric method is capable of evaluating NP-protein interactions in a simple and high-throughput manner in multiwell plates. Important binding parameters (e.g., the binding affinity) of three different serum proteins (bovine serum albumin, transferrin, and lysozyme) as well as human serum to AuNPs with three different sizes (average diameters of 5, 10, and 15 nm) have been obtained. Based on a quantitative analysis of NP-protein interactions, we observe that the binding affinity and the inhibition efficiency of the nanozyme activity of AuNPs are strongly affected by the characteristics of proteins as well as the sizes of NPs. These results illustrate the great potential of the present colorimetric method as a simple, low-cost, and high-throughput platform for quantitatively investigating NP-protein interactions.
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Affiliation(s)
- Mengyao Wen
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, China
| | - Juanmin Li
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, China
| | - Wencheng Zhong
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, China
| | - Jie Xu
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, China
| | - Shaohua Qu
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, China
| | - Hui Wei
- Department of Biomedical Engineering, College of Engineering and Applied Sciences, Nanjing National Laboratory of Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Li Shang
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, China
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Jing L, Xie CY, Li QQ, Yao HF, Yang MQ, Li H, Xia F, Li SG. A Sandwich-type Lateral Flow Strip Using a Split, Single Aptamer for Point-of-Care Detection of Cocaine. JOURNAL OF ANALYSIS AND TESTING 2022. [DOI: 10.1007/s41664-022-00228-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Cheng R, Zhu F, Huang M, Zhang Q, Yan HH, Zhao XH, Luo FK, Li CM, Liu H, Liang GL, Huang CZ, Wang J. “Hepatitis virus indicator”----the simultaneous detection of hepatitis B and hepatitis C viruses based on the automatic particle enumeration. Biosens Bioelectron 2022; 202:114001. [DOI: 10.1016/j.bios.2022.114001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/10/2022] [Accepted: 01/12/2022] [Indexed: 12/11/2022]
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