|
1
|
Xu Y, Guo C, Zhou C, He Y, Cao K, Li D. Enhancing chiral molecule detection: A weak measurement approach utilizing two-dimensional information. Talanta 2025; 281:126845. [PMID: 39260249 DOI: 10.1016/j.talanta.2024.126845] [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: 05/09/2024] [Revised: 08/18/2024] [Accepted: 09/07/2024] [Indexed: 09/13/2024]
Abstract
This study addresses the critical need for high purity chiral molecules in biological systems by overcoming the challenges associated with the quantitative detection of chiral molecules and their enantiomeric mixtures. We developed an innovative detection approach that leverages the two-dimensional information gleaned from natural optical rotation (NOR) and Faraday optical rotation (FOR) under magnetic fields in chiral molecules, combined with an ultrahigh-resolution weak measurement sensor. This novel weak measurement system achieves unparalleled accuracy in detecting spin angles, with a precision of 1.86 × 10-5°. Notably, our method introduces no chemical reactions or interference with the substances under test. It offers enhanced discrimination capabilities through the dual-dimensional analysis of both natural and Faraday optical rotation, alongside a simple and compact sensor design. Conclusively, our study introduces a novel, high-precision, and multi-dimensional optical detection paradigm for chiral molecules. By incorporating Faraday rotation in the presence of a magnetic field, we expand the informational dimensionality accessible to the original weak measurement sensor, facilitating the quantitative analysis of chiral molecules and their enantiomers. This breakthrough not only furnishes a novel instrument for the exploration and development of chiral pharmaceuticals but also propels the advancement of weak measurement sensing technology forward.
Collapse
Affiliation(s)
- Yang Xu
- Department of Laboratory Medicine, Shenzhen Children's Hospital, Shenzhen, 518038, China
| | - Cuixia Guo
- School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
| | - Chongqi Zhou
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Yonghong He
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Ke Cao
- Department of Laboratory Medicine, Shenzhen Children's Hospital, Shenzhen, 518038, China.
| | - Defa Li
- Department of Laboratory Medicine, Shenzhen Children's Hospital, Shenzhen, 518038, China.
| |
Collapse
|
|
2
|
Meng L, Zhang L, Liang G, Wang B, Xu Y, Li H, Song Z, Yan H, Guo C, Guan T, He Y. Highly sensitive antibiotic sensing based on optical weak value amplification: A case study of chloramphenicol. Food Chem 2024; 458:140184. [PMID: 38968708 DOI: 10.1016/j.foodchem.2024.140184] [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: 04/01/2024] [Revised: 06/20/2024] [Accepted: 06/20/2024] [Indexed: 07/07/2024]
Abstract
The public health concern of antibiotic residues in animal-origin food has been a long-standing issue. In this work, we present a novel method for antibiotic detection, leveraging optical weak value amplification and harnessing an indirect competitive inhibition assay, which significantly boosts the system's sensitivity in identifying small molecule antibiotics. We chose chloramphenicol as a model compound and mixed it with chloramphenicol-bovine serum albumin conjugates to bind to the chloramphenicol antibody competitively. We achieved a broad linear detection range of up to 3.24 ng/mL and a high concentration resolution of 33.20 pg/mL. To further validate the universality of our proposed detection methodology, we successfully applied it to testing gibberellin and tetracycline. Moreover, we conducted regeneration experiments and real-sample correlation studies. This study introduces a novel strategy for the label-free optical sensing of small molecule antibiotics, greatly expanding the range of applications for sensors utilizing optical weak value amplification.
Collapse
Affiliation(s)
- Lingqin Meng
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Shenzhen International Graduate School, Tsinghua University, Shenzhen City, Guangdong Province, China; Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing, China
| | - Lizhong Zhang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Shenzhen International Graduate School, Tsinghua University, Shenzhen City, Guangdong Province, China
| | - Gengyu Liang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Shenzhen International Graduate School, Tsinghua University, Shenzhen City, Guangdong Province, China
| | - Bei Wang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Shenzhen International Graduate School, Tsinghua University, Shenzhen City, Guangdong Province, China
| | - Yang Xu
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Shenzhen International Graduate School, Tsinghua University, Shenzhen City, Guangdong Province, China
| | - Han Li
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Shenzhen International Graduate School, Tsinghua University, Shenzhen City, Guangdong Province, China
| | - Zishuo Song
- Key Laboratory of Medicinal Resource Chemistry and Pharmaceutical Molecular Engineering, School of Chemistry and Pharmacy, Guangxi Normal University, Guilin City, Guangxi Provence, China
| | - Hui Yan
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Shenzhen International Graduate School, Tsinghua University, Shenzhen City, Guangdong Province, China
| | - Cuixia Guo
- School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou City, Fujian Province, China.
| | - Tian Guan
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Shenzhen International Graduate School, Tsinghua University, Shenzhen City, Guangdong Province, China.
| | - Yonghong He
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Shenzhen International Graduate School, Tsinghua University, Shenzhen City, Guangdong Province, China.
| |
Collapse
|
|
3
|
Wang B, Zhang L, Liang G, Meng L, Xu Y, Li H, Song Z, Zhang X, Li Z, Guo C, Guan T, He Y. Realization of high-performance biosensor through sandwich analysis utilizing weak value amplification. Talanta 2024; 277:126302. [PMID: 38830277 DOI: 10.1016/j.talanta.2024.126302] [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: 02/15/2024] [Revised: 05/07/2024] [Accepted: 05/20/2024] [Indexed: 06/05/2024]
Abstract
A label-free optical sandwich immunoassay sensor, utilizing weak value amplification and total internal reflection, was devised for real-time, high-sensitivity analysis and detection of low-concentration targets. 3D printed channels and sodium chloride solution were employed to ensure reproducibility, reliability, and stability of the measurements for calibration. The sandwich structure demonstrated enhanced responsiveness in the proposed optical biosensor through a comparative analysis of the direct assay and sandwich assay for detecting alpha-fetoprotein (AFP) at the same concentration. By optimizing the binding sequences of the coating antibody, target, and detection antibody in the sandwich method, a more suitable sandwich sensing approach based on weak value amplification was achieved. With this approach, the limit of detection (LOD) of 6.29 ng/mL (pM level) for AFP in PBS solution was achieved. AFP testing and regeneration experiments in human serum have proved the feasibility of our methods in detecting complex samples and the reusability of sensing chips. Additionally, the method demonstrated excellent selectivity for unpaired antigens. The efficacy of this methodology was evaluated by simultaneously detecting AFP, carcinoembryonic antigen (CEA), and CA15-3 on a singular sensor chip. In conclusion, the label-free sandwich immunoassay sensing scheme holds promise for advancing the proposed optical sensors based on weak value amplification in early diagnosis and prevention applications. Compared to other biomarker detection methods, it will be easier to promote in practical applications.
Collapse
Affiliation(s)
- Bei Wang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Lizhong Zhang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Gengyu Liang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Lingqin Meng
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Yang Xu
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Han Li
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Zishuo Song
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Xiaonan Zhang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Zhangyan Li
- College of Physics and Information Engineering, Zhaotong University, Zhaotong, 657000, China
| | - Cuixia Guo
- School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China.
| | - Tian Guan
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Yonghong He
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
| |
Collapse
|
|
4
|
Zhang X, Zhang L, Li H, Xu Y, Meng L, Liang G, Wang B, Liu L, Guan T, Guo C, He Y. Weak Value Amplification Based Optical Sensor for High Throughput Real-Time Immunoassay of SARS-CoV-2 Spike Protein. BIOSENSORS 2024; 14:332. [PMID: 39056608 PMCID: PMC11274545 DOI: 10.3390/bios14070332] [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: 05/06/2024] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 07/28/2024]
Abstract
The demand for accurate and efficient immunoassays calls for the development of precise, high-throughput analysis methods. This paper introduces a novel approach utilizing a weak measurement interface sensor for immunoassays, offering a solution for high throughput analysis. Weak measurement is a precise quantum measurement method that amplifies the weak value of a system in the weak interaction through appropriate pre- and post-selection states. To facilitate the simultaneous analysis of multiple samples, we have developed a chip with six flow channels capable of conducting six immunoassays concurrently. We can perform real-time immunoassay to determine the binding characteristics of spike protein and antibody through real-time analysis of the flow channel images and calculating the relative intensity. The proposed method boasts a simple structure, eliminating the need for intricate nano processes. The spike protein concentration and relative intensity curve were fitted using the Log-Log fitting regression equation, and R2 was 0.91. Utilizing a pre-transformation approach to account for slight variations in detection sensitivity across different flow channels, the present method achieves an impressive limit of detection(LOD) of 0.85 ng/mL for the SARS-CoV-2 the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein, with a system standard deviation of 5.61. Furthermore, this method has been successfully verified for monitoring molecular-specific binding processes and differentiating binding capacities.
Collapse
Affiliation(s)
- Xiaonan Zhang
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (X.Z.); (H.L.); (Y.X.); (L.M.); (G.L.); (B.W.); (T.G.); (Y.H.)
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Lizhong Zhang
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (X.Z.); (H.L.); (Y.X.); (L.M.); (G.L.); (B.W.); (T.G.); (Y.H.)
| | - Han Li
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (X.Z.); (H.L.); (Y.X.); (L.M.); (G.L.); (B.W.); (T.G.); (Y.H.)
| | - Yang Xu
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (X.Z.); (H.L.); (Y.X.); (L.M.); (G.L.); (B.W.); (T.G.); (Y.H.)
| | - Lingqin Meng
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (X.Z.); (H.L.); (Y.X.); (L.M.); (G.L.); (B.W.); (T.G.); (Y.H.)
| | - Gengyu Liang
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (X.Z.); (H.L.); (Y.X.); (L.M.); (G.L.); (B.W.); (T.G.); (Y.H.)
| | - Bei Wang
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (X.Z.); (H.L.); (Y.X.); (L.M.); (G.L.); (B.W.); (T.G.); (Y.H.)
| | - Le Liu
- Institute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China;
| | - Tian Guan
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (X.Z.); (H.L.); (Y.X.); (L.M.); (G.L.); (B.W.); (T.G.); (Y.H.)
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Cuixia Guo
- School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
| | - Yonghong He
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (X.Z.); (H.L.); (Y.X.); (L.M.); (G.L.); (B.W.); (T.G.); (Y.H.)
- Jilin Fuyuan Guan Food Group Joint Research Center, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| |
Collapse
|
|
5
|
Lin H, Xu Y, Chen X, Fang Z, Yan T, Ma K, Liu L, Xi J. In Situ Mapping of Activity Distribution of V(II)/V(III) and Onset Potential Distribution of Hydrogen Evolution Side Reaction in Vanadium Flow Batteries. SMALL METHODS 2023:e2300841. [PMID: 37882331 DOI: 10.1002/smtd.202300841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/25/2023] [Indexed: 10/27/2023]
Abstract
Vanadium flow batteries (VFBs) face a challenge with the low reaction rates of the V(II)/V(III) redox couple, which limits the performance of VFBs. Additionally, the negative electrode in VFBs is often accompanied by the persistent hydrogen evolution reaction (HER), which is difficult to eliminate. Therefore, understanding the spatial distribution of activity on the negative electrode and the HER side reaction on the electrode surface is of critical importance. This study proposes a weak measurement imaging method to characterize the spatial distribution of surface activity and HER onset potential on the negative electrode in VFBs). This method enables the visualization and in situ detection of key parameters such as the absolute values of |ipa |, |ipc |, |∆E|, |ipc /ipa |, and the HER onset potential. By comparing three different types of graphite felts with varying activity levels, it validates the feasibility of this method. Furthermore, electrochemical stability tests are conducted to study the electrodes repeatability, uniformity, and durability. This method holds promise in guiding the design of electrodes with enhanced activity, good reversibility, minimized HER side reactions, and uniform distribution.
Collapse
Affiliation(s)
- Hao Lin
- Institute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Yang Xu
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Xiao Chen
- Institute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Zengxian Fang
- Institute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Tian Yan
- Institute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Kaijie Ma
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, 14853-1301, USA
| | - Le Liu
- Institute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Jingyu Xi
- Institute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| |
Collapse
|
|
6
|
Zhang L, Huang Q, Zhang X, Zeng Z, Zhang H, Guan T, Xu Y, Zhou C, Meng L, Liang G, Li Z, Wang B, Liu L, Guo C, He Y. Ultra-precise weak measurement-based interfacial biosensors. Talanta 2023; 257:124217. [PMID: 36801563 DOI: 10.1016/j.talanta.2022.124217] [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: 09/22/2022] [Revised: 12/17/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022]
Abstract
In this study, an interfacial biosensing scheme with ultra-precision is proposed. The scheme uses weak measurement techniques to ensure ultra-high sensitivity of the sensing system while improving the stability of the system through self-referencing and pixel point averaging, thus achieving ultra-high detection accuracy of biological samples. In specific experiments, we have used the biosensor in this study to perform specific binding reaction experiments for protein A and Mouse IgG with a detection line of 2.71 ng/mL for IgG. In addition, the sensor is non-coated, simple in structure, easy to operate, and low in cost of use.
Collapse
Affiliation(s)
- Lizhong Zhang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Qiang Huang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Shenzhen Shengqiang Technology Co., Ltd, China; Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Xiaonan Zhang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Zhen Zeng
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Hailong Zhang
- Key Laboratory of Photonic Control Technology (Tsinghua University), Ministry of Education, Beijing, 100084, China; Department of Precision Instrument, Tsinghua University, Beijing, 100084, China
| | - Tian Guan
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Yang Xu
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Chongqi Zhou
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Department of Physics, Tsinghua University, Beijing, 100084, China
| | - Lingqin Meng
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Gengyu Liang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Zhangyan Li
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Department of Physics, Tsinghua University, Beijing, 100084, China
| | - Bei Wang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Le Liu
- Institute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Cuixia Guo
- School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China.
| | - Yonghong He
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
| |
Collapse
|
|
7
|
Hu L, Cui J, Wang Y, Jia J. An ultrasensitive electrochemical biosensor for bisphenol A based on aptamer-modified MrGO@AuNPs and ssDNA-functionalized AuNP@MBs synergistic amplification. CHEMOSPHERE 2023; 311:137154. [PMID: 36351468 DOI: 10.1016/j.chemosphere.2022.137154] [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: 07/18/2022] [Revised: 10/30/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
Bisphenol A (BPA) is a harmful endocrine disruptor, sensitive and rapid quantification of BPA is highly desirable. In this work, a novel synergistic signal-amplifying electrochemical biosensor was developed for BPA detection by using a recognition probe (RP) constructed by BPA aptamer modified gold nanoparticles-loaded magnetic reduced graphene oxide (Aptamer-MrGO@AuNPs), and a signal probe (SP) constructed by BPA aptamer-complementary single-stranded DNA (ssDNA) functionalized methylene blue (MB)-loaded gold nanoparticle (ssDNA-AuNP@MBs). The RP and SP can self-assemble to form a stable RP-SP complex through complementary base pairing. The current intensity of the biosensor correlates with the number of RP-SP complexes. In the presence of BPA, the BPA aptamer can capture BPA with high selectivity and affinity, form an RP-BPA complex and dissociate the RP-SP complex to release SP, resulting in a decrease in the current signal intensity of the biosensor. A single AuNP could be loaded with multiple BPA aptamers and MBs, which improves the recognition efficiency and enhances the signal intensity. Due to the magnetic properties of MrGO@AuNPs, the magnetic separation and adsorption of RP or RP-SP complex is very convenient, enabling all reaction processes to be carried out in solution, which not only improves the mass transfer efficiency, but also simplifies the operation. Under optimal conditions, the developed biosensor had a detection limit as low as 0.141 pg/mL and had been successfully applied to the detection of real environmental water samples. Therefore, the synergistic signal amplification strategy of RP and SP has potential value in the detection of trace pollutants in the water environment.
Collapse
Affiliation(s)
- Liuyin Hu
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai, 200240, PR China
| | - Jiahua Cui
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai, 200240, PR China
| | - Yalin Wang
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai, 200240, PR China
| | - Jinping Jia
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai, 200240, PR China; School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai, 200240, PR China.
| |
Collapse
|
|
8
|
Xu Y, Shi L, Zhou C, Li Z, Guan T, Xing X, Liu L, He Y. Demonstration of a New Characterization Method for Weak Measurement. Front Chem 2022; 10:913035. [PMID: 35711959 PMCID: PMC9195586 DOI: 10.3389/fchem.2022.913035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 04/29/2022] [Indexed: 11/13/2022] Open
Abstract
In this work, the difference between the weak measurement method and the weak value amplification process and the classical measurement process is thoroughly discussed, and the transition conditions of the weak value enhancement are obtained. A transition mode of the weak measurement and the classical measurement is proposed for the first time, and a better fitting model of the measurement results is found by performing a systematic analysis. On top of that, the importance of the new fitting method for the application of the weak measurement system is verified during the industrial production of organic molecular -nucleic acid, protein, polysaccharide-hydrolysis or synthesis. At the same time, a variety of spectral characterization methods are proposed and the advantages and disadvantages of the different characterization methods are analyzed through carrying out experiments. Consequently, the wide implementation of weak measurement-based detection technology is attained.
Collapse
Affiliation(s)
- Yang Xu
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Institute of Optical Imaging and Sensing, Tsinghua University, Shenzhen, China
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Lixuan Shi
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Institute of Optical Imaging and Sensing, Tsinghua University, Shenzhen, China
- Department of Physics, Tsinghua University, Beijing, China
| | - Chongqi Zhou
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Institute of Optical Imaging and Sensing, Tsinghua University, Shenzhen, China
- Department of Physics, Tsinghua University, Beijing, China
| | - Zhangyan Li
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Institute of Optical Imaging and Sensing, Tsinghua University, Shenzhen, China
- Department of Physics, Tsinghua University, Beijing, China
| | - Tian Guan
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Institute of Optical Imaging and Sensing, Tsinghua University, Shenzhen, China
- School of Medicine, Tsinghua University, Beijing, China
| | - Xinhui Xing
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Le Liu
- Shenzhen International Graduate School, Institute of Materials Research, Tsinghua University, Shenzhen, China
- *Correspondence: Le Liu, ; Yonghong He,
| | - Yonghong He
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Institute of Optical Imaging and Sensing, Tsinghua University, Shenzhen, China
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
- *Correspondence: Le Liu, ; Yonghong He,
| |
Collapse
|
|
9
|
Liu Y, Zhang Y, Xu Z, Zhou L, Zou Y, Zhang B, Hu Z. Ultra-low noise phase measurement of fiber optic sensors via weak value amplification. OPTICS EXPRESS 2022; 30:18966-18977. [PMID: 36221685 DOI: 10.1364/oe.455588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 03/30/2022] [Indexed: 06/16/2023]
Abstract
The noise floor is a vital specification that determines the minimum detectable signal in the phase measurement. However, the noise floor in optical phase measurement conducted via conventional optical interferometry tends to approach the intrinsic limit. In this study, a low noise phase measurement of a fiber optic sensor conducted via weak value amplification is experimentally demonstrated. The system has a flat, wideband frequency response from 0.1 Hz to 10 kHz, as well as adequate linearity. The operating band is wider than the present sensor using the same mechanism. In particular, the system noise floor is measured to be -98 dB at 1 Hz and -155 dB at 1 kHz. The results indicate that the minimum detectable signal can reach as low as 5.6 × 10-6 rad at 1 Hz and 8 × 10-9 rad at 1 kHz. In addition, it is demonstrated that the noise result of the proposed system is two-order of magnitude lower than that of the typical interferometric fiber optic sensors through the comparison experiment. With the characteristic of low-noise, the system is promising in the field of weak signal detection such as underwater acoustic signal detection, seismic wave detection, and mineral resource exploration.
Collapse
|