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学者姓名：郭翠霞
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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. © 2024 by the authors.
Keyword ：
high throughput immunoassay high throughput immunoassay optical biosensor optical biosensor SARS-CoV-2 spike protein SARS-CoV-2 spike protein weak measurement weak measurement
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| GB/T 7714 | Zhang, X. , Zhang, L. , Li, H. et al. Weak Value Amplification Based Optical Sensor for High Throughput Real-Time Immunoassay of SARS-CoV-2 Spike Protein [J]. | Biosensors , 2024 , 14 (7) . |
| MLA | Zhang, X. et al. "Weak Value Amplification Based Optical Sensor for High Throughput Real-Time Immunoassay of SARS-CoV-2 Spike Protein" . | Biosensors 14 . 7 (2024) . |
| APA | Zhang, X. , Zhang, L. , Li, H. , Xu, Y. , Meng, L. , Liang, G. et al. Weak Value Amplification Based Optical Sensor for High Throughput Real-Time Immunoassay of SARS-CoV-2 Spike Protein . | Biosensors , 2024 , 14 (7) . |
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叶黄素是天然的抗氧化剂,对人体健康有多种益处,异养小球藻具有叶黄素纯度和产量均较高的优势,而小球藻叶黄素产量主要取决于生物质产量和叶黄素含量两个因素.传统的光密度法测生物质产量和高效液相色谱法测叶黄素含量存在操作复杂、时效性低等不足.为了快速、无损测定小球藻生长过程中叶黄素含量变化,搭建可见-近红外双模式快照式多光谱成像检测系统,根据光谱响应区域,分别利用可见光相机获取叶黄素光谱信息,近红外相机获取生物质光谱信息,构建含有生物质量和叶黄素含量信息的可见-近红外双模式多光谱数据集.针对系统所使用的快照式多光谱相机光谱范围宽、波长数量少的特征波长选取问题,提出一种结合序列浮动前向选择的改进型连续投影算法(mSPA);将mSPA与常规的连续投影算法、遗传算法及随机蛙跳三种波长选择算法作对比分析后,构建了基于特征波长的多元线性回归和极限学习机模型;最后,利用生物质产量和叶黄素含量的最佳预测模型生成小球藻叶黄素产量的可视化分布图.结果表明,在利用近红外、可见光相机分别检测小球藻生物质、叶黄素量时,mSPA得到的特征波长数均较少,并具有最高的预测精度.生物质量与叶黄素含量的最佳模型均为mSPA筛选特征波长后建立的极限学习机模型,对应的预测集决定系数分别为0.947和0.907,预测集均方根误差分别为0.698 g·L-1和0.077 mg·g-1,剩余预测偏差分别为3.535和3.338,模型的预测能力较好.可视化分布实现了直观监测小球藻叶黄素产量的变化,有助于后续实际生产中在线检测叶黄素产量.mSPA在快照式多光谱检测小球藻生物质含量及叶黄素含量中,通过对排序波长逐个评估以选择出最佳特征波长组合,有效地避免了特征波长的错选、漏选,提高了模型的预测精度,为快照式多光谱成像技术应用提供新的波长选择思路.
Keyword ：
叶黄素产量 叶黄素产量 小球藻 小球藻 快照式多光谱 快照式多光谱 特征波长 特征波长
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| GB/T 7714 | 沈英 , 占秀兴 , 黄春红 et al. 基于快照式多光谱特征波长的小球藻叶黄素产量快速测定 [J]. | 光谱学与光谱分析 , 2024 , 44 (8) : 2216-2223 . |
| MLA | 沈英 et al. "基于快照式多光谱特征波长的小球藻叶黄素产量快速测定" . | 光谱学与光谱分析 44 . 8 (2024) : 2216-2223 . |
| APA | 沈英 , 占秀兴 , 黄春红 , 谢友坪 , 郭翠霞 , 黄峰 . 基于快照式多光谱特征波长的小球藻叶黄素产量快速测定 . | 光谱学与光谱分析 , 2024 , 44 (8) , 2216-2223 . |
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The precise biomolecular detection is crucial in medical diagnosis, biological research, and bioengineering. In this article, a phase multiplexing-based molecularly imprinted polymer biosensor (PM-MIPB) is proposed. It considers the high-throughput and nonlabeling detection mode by multiplexing without increasing the number of scanning and detecting elements, as well as the high specificity and affinity of molecular imprinting technology (MIT), to improve the throughput and accuracy of molecular detection. Phase multiplexing originates from phase-sensitive spectral-domain optical coherence tomography, where the low-coherence interferometric spectra with multiple optical path differences are spectrally analyzed to identify and extract the interferometric phases across these paths. Based on this principle, simultaneous quantitative detection and interaction analysis of multiple analytes can be realized by preparing multiple optical-path difference-encoded (also thickness-encoded) detection channels and simultaneously extracting the phases of the interfering signals. Furthermore, the PM-MIPB utilizes molecularly imprinted polymer as an alternative to antigen-antibody systems, creating selective recognition sites through specific template molecules to achieve highly selective, specific, and stable detection of target molecules. Theoretically, the PM-MIPB can simultaneously measure up to 255 biomolecules, with a detection speed of 0.025 s, recovery rate ranging from 95.65% to 103.41%, and sensitivity of 4.05x10(-3) nm center dot mL/mu g. By integrating phase multiplexing with molecular imprinting, the PM-MIPB meets the high demand for efficient, high throughput, and accurate biomolecular detection in the life science field.
Keyword ：
Biomedical optical imaging Biomedical optical imaging Biosensor Biosensor Biosensors Biosensors Interference Interference molecular imprinting molecular imprinting Multiplexing Multiplexing optical coherence tomography optical coherence tomography Optical interferometry Optical interferometry Optical sensors Optical sensors phase multiplexing phase multiplexing Sensors Sensors
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| GB/T 7714 | Guo, Cuixia , Pan, Zhijie , Huang, Zeyu et al. Phase Multiplexing-Based Molecular Imprint Biosensor [J]. | IEEE SENSORS JOURNAL , 2024 , 24 (20) : 31763-31772 . |
| MLA | Guo, Cuixia et al. "Phase Multiplexing-Based Molecular Imprint Biosensor" . | IEEE SENSORS JOURNAL 24 . 20 (2024) : 31763-31772 . |
| APA | Guo, Cuixia , Pan, Zhijie , Huang, Zeyu , Zou, Zhanghuang , Huang, Feng . Phase Multiplexing-Based Molecular Imprint Biosensor . | IEEE SENSORS JOURNAL , 2024 , 24 (20) , 31763-31772 . |
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In this work, we investigate photon localization and filtering effects in disordered scattering structures which might be used for future on-chip terahertz integrated systems. Through a reverse-design platform based on a discrete binary particle swarm optimization (BPSO) algorithm, a 2-D periodic dielectric cylindrical photonic crystal was transformed into a disordered scattering structure. Appropriate objective and figure of merit (FOM) functions are defined in order to achieve terahertz filtering function based on Anderson localization. The filters are in the bandgap range of 0.177-0.303 THz, with a FWHM bandwidth of 0.01 THz. We found that photon localization in disordered scattering structures is caused by coupling and resonance between adjacent microcavities.
Keyword ：
Disordered scattering structures Disordered scattering structures photonic crystal photonic crystal reverse-design reverse-design terahertz terahertz
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| GB/T 7714 | Chen, Yanqing , Xiong, Shixin , Huang, Feng et al. Terahertz Localization and Filtering Effects in Two-Dimensional Disordered Scattering Structures [J]. | IEEE TRANSACTIONS ON PLASMA SCIENCE , 2024 . |
| MLA | Chen, Yanqing et al. "Terahertz Localization and Filtering Effects in Two-Dimensional Disordered Scattering Structures" . | IEEE TRANSACTIONS ON PLASMA SCIENCE (2024) . |
| APA | Chen, Yanqing , Xiong, Shixin , Huang, Feng , Guo, Cuixia , Chen, Ying , Wang, Xiangfeng et al. Terahertz Localization and Filtering Effects in Two-Dimensional Disordered Scattering Structures . | IEEE TRANSACTIONS ON PLASMA SCIENCE , 2024 . |
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Allergy is a prevalent disease, and the potential allergic population is expanding with industrialization and changes in people's living standards. Serum immunoglobulin E (IgE) level is one of the critical indicators for determining allergy. Here, we proposed a simple, real-time monitoring, low chip cost, label-free aptamer biosensing strategy based on weak value amplification (WVA) for the quantitative detection of IgE in serum samples, enabling early and accurate diagnosis of allergic or hypersensitive patients. The aptasensor combined an imaging weak measurement system with the high specificity of the aptamer for the marker IgE. By modifying the amino group at the 3-terminal end, the anti-IgE aptamers can attach to a dopamine-modified prism's surface and selectively recognize IgE in human serum. In the presence of IgE, a specific binding reaction occurred, resulting in a change in the refractive index of the reactive region's surface, manifested as a change in the light intensity of the camera acquired experimental images. As the concentration of IgE increased, the relative light intensity advanced sequentially. The WVA-aptasensing strategy achieved a wide detection range of 0.01 ng/mL to 2 mu g/mL in phosphate buffered saline buffer, with the resolution as low as 4.3 pg/mL. IgE testing experiments in human serum have proved the feasibility of our methods in detecting complex samples. In addition, the method specifically recognized IgE without interference from other proteins. We believe that our proposed sensing strategy opens up new possibilities for ultrahigh sensitivity screening of IgE and can be expanded to detecting other biomolecules.
Keyword ：
aptasensor aptasensor human IgE human IgE refractive index refractive index relative light intensity relative light intensity weak value amplification weak value amplification
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| GB/T 7714 | Wang, Bei , Meng, Lingqin , Liang, Gengyu et al. Optical Label-Free Aptasensor Based on Weak Value Amplification for Real-Time and Ultrasensitive Detection of IgE [J]. | ACS SENSORS , 2024 , 9 (7) : 3625-3632 . |
| MLA | Wang, Bei et al. "Optical Label-Free Aptasensor Based on Weak Value Amplification for Real-Time and Ultrasensitive Detection of IgE" . | ACS SENSORS 9 . 7 (2024) : 3625-3632 . |
| APA | Wang, Bei , Meng, Lingqin , Liang, Gengyu , Zhang, Lizhong , Xu, Yang , Zhang, Xiaonan et al. Optical Label-Free Aptasensor Based on Weak Value Amplification for Real-Time and Ultrasensitive Detection of IgE . | ACS SENSORS , 2024 , 9 (7) , 3625-3632 . |
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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.
Keyword ：
Antibiotic small molecules Antibiotic small molecules High resolution High resolution Imaging detection Imaging detection Indirect competitive inhibition assay Indirect competitive inhibition assay Weak measurement Weak measurement
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| GB/T 7714 | Meng, Lingqin , Zhang, Lizhong , Liang, Gengyu et al. Highly sensitive antibiotic sensing based on optical weak value amplification: A case study of chloramphenicol [J]. | FOOD CHEMISTRY , 2024 , 458 . |
| MLA | Meng, Lingqin et al. "Highly sensitive antibiotic sensing based on optical weak value amplification: A case study of chloramphenicol" . | FOOD CHEMISTRY 458 (2024) . |
| APA | Meng, Lingqin , Zhang, Lizhong , Liang, Gengyu , Wang, Bei , Xu, Yang , Li, Han et al. Highly sensitive antibiotic sensing based on optical weak value amplification: A case study of chloramphenicol . | FOOD CHEMISTRY , 2024 , 458 . |
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Lutein is a natural antioxidant that has numerous benefits for human health. Heterotrophic Chlorella sorokiniana has the advantage of high purity and production of lutein. In contrast, the production of lutein in Chlorella sorokiniana mainly depends on two factors: biomass productivity and lutein content. However, conventional approaches such as the optical density method for measuring biomass productivity and high-performance liquid chromatography for measuring lutein content suffer from drawbacks, including complex procedures and limited timeliness. A visible near-infrared dual-mode snapshot multispectral imaging detection system was constructed to rapidly and non-destructively determine the variations in lutein production during the growth process of Chlorella sorokiniana. Based on the spectral response range, the visible camera was used to obtain the spectral information image of lutein content, and the near-infrared camera was used to obtain the spectral information image of biomass productivity to build a visible near-infrared dual mode multispectral dataset containing biomass productivity and lutein content information. To address the issue of wide spectral range and limited wavelengths in the snapshot multispectral camera used in the system, a novel approach combining sequential floating forward selection with a modified successive projections algorithm (mSPA) was proposed. A comparative study was conducted, evaluating mSPA against successive projections algorithm, genetic algorithm, and random frog algorithm for wavelength selection. Multiple linear regression and extreme learning machine models were constructed based on the selected feature wavelengths. Finally, the optimal predictive models for biomass productivity and lutein content were used to generate a visualization distribution map of lutein production in Chlorella sorokiniana. The results indicated that when using near-infrared and visible cameras for biomass productivity and lutein detection in Chlorella sorokiniana, the mSPA algorithm consistently yielded fewer feature wavelengths for both biomass productivity and lutein and achieved the highest prediction accuracy. The optimal models of biomass productivity and lutein content were established using the mSPA-selected feature wavelengths in combination with an extreme learning machine. The corresponding coefficients of determination for the prediction sets were 0. 947 for biomass productivity and 0. 907 for lutein, with root mean square errors of 0. 698 g . L-1 and 0. 077 mg . g(-1) and residual prediction deviations of 3. 535 and 3. 338, respectively. The models demonstrated good predictive capabilities. The visualization distribution successfully achieved intuitive monitoring of lutein production variations in Chlorella sorokiniana which is beneficial for online detection of lutein content in practical production scenarios. The mSPA algorithm, employed in the snapshot multispectral detection of biomass productivity and lutein content in Chlorella sorokiniana, effectively avoided the incorrect selection and omission of feature wavelengths by evaluating each sorted wavelength individually, thereby improving the prediction accuracy of the models. This approach provides a new wavelength selection strategy for applying snapshot multispectral imaging technology.
Keyword ：
Chlorella sorokiniana Chlorella sorokiniana Feature wavelengths Feature wavelengths Lutein production Lutein production Snapshot multispectral Snapshot multispectral
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| GB/T 7714 | Shen Ying , Zhan Xiu-xing , Huang Chun-hong et al. Rapid Determination of Chlorella Sorokiniana Lutein Production Based on Snapshot Multispectral Feature Wavelengths [J]. | SPECTROSCOPY AND SPECTRAL ANALYSIS , 2024 , 44 (8) : 2216-2223 . |
| MLA | Shen Ying et al. "Rapid Determination of Chlorella Sorokiniana Lutein Production Based on Snapshot Multispectral Feature Wavelengths" . | SPECTROSCOPY AND SPECTRAL ANALYSIS 44 . 8 (2024) : 2216-2223 . |
| APA | Shen Ying , Zhan Xiu-xing , Huang Chun-hong , Xie You-ping , Guo Cui-xia , Huang Feng . Rapid Determination of Chlorella Sorokiniana Lutein Production Based on Snapshot Multispectral Feature Wavelengths . | SPECTROSCOPY AND SPECTRAL ANALYSIS , 2024 , 44 (8) , 2216-2223 . |
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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.
Keyword ：
high throughput immunoassay high throughput immunoassay optical biosensor optical biosensor SARS-CoV-2 spike protein SARS-CoV-2 spike protein weak measurement weak measurement
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| GB/T 7714 | Zhang, Xiaonan , Zhang, Lizhong , Li, Han et al. Weak Value Amplification Based Optical Sensor for High Throughput Real-Time Immunoassay of SARS-CoV-2 Spike Protein [J]. | BIOSENSORS-BASEL , 2024 , 14 (7) . |
| MLA | Zhang, Xiaonan et al. "Weak Value Amplification Based Optical Sensor for High Throughput Real-Time Immunoassay of SARS-CoV-2 Spike Protein" . | BIOSENSORS-BASEL 14 . 7 (2024) . |
| APA | Zhang, Xiaonan , Zhang, Lizhong , Li, Han , Xu, Yang , Meng, Lingqin , Liang, Gengyu et al. Weak Value Amplification Based Optical Sensor for High Throughput Real-Time Immunoassay of SARS-CoV-2 Spike Protein . | BIOSENSORS-BASEL , 2024 , 14 (7) . |
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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.
Keyword ：
3D printed channels 3D printed channels Binding sequence Binding sequence Label -free sensor Label -free sensor Sandwich immunoassay Sandwich immunoassay Weak value amplification Weak value amplification
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| GB/T 7714 | Wang, Bei , Zhang, Lizhong , Liang, Gengyu et al. Realization of high-performance biosensor through sandwich analysis utilizing weak value amplification [J]. | TALANTA , 2024 , 277 . |
| MLA | Wang, Bei et al. "Realization of high-performance biosensor through sandwich analysis utilizing weak value amplification" . | TALANTA 277 (2024) . |
| APA | Wang, Bei , Zhang, Lizhong , Liang, Gengyu , Meng, Lingqin , Xu, Yang , Li, Han et al. Realization of high-performance biosensor through sandwich analysis utilizing weak value amplification . | TALANTA , 2024 , 277 . |
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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 x 10(-5 degrees). 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.
Keyword ：
Chiral molecule Chiral molecule Faraday effect Faraday effect Optical rotation Optical rotation Two-dimensional information Two-dimensional information Weak measurement Weak measurement
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| GB/T 7714 | Xu, Yang , Guo, Cuixia , Zhou, Chongqi et al. Enhancing chiral molecule detection: A weak measurement approach utilizing two-dimensional information [J]. | TALANTA , 2024 , 281 . |
| MLA | Xu, Yang et al. "Enhancing chiral molecule detection: A weak measurement approach utilizing two-dimensional information" . | TALANTA 281 (2024) . |
| APA | Xu, Yang , Guo, Cuixia , Zhou, Chongqi , He, Yonghong , Cao, Ke , Li, Defa . Enhancing chiral molecule detection: A weak measurement approach utilizing two-dimensional information . | TALANTA , 2024 , 281 . |
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