Review
Chemistry, Analytical
Kiran Kaladharan, Ashish Kumar, Pallavi Gupta, Kavitha Illath, Tuhin Subhra Santra, Fan-Gang Tseng
Summary: The efficient delivery of foreign molecules into single living cells is crucial for cell biology, with single-cell measurement technologies offering a better understanding of molecular interactions. Various microfluidic-based physical methods play a key role in achieving single-cell transfection, aiding in the development of therapeutics and diagnostic tools.
Review
Chemistry, Analytical
Yupan Wu, Yingqi Meng
Summary: This paper reviews emerging tools enabled by microfluidic technologies for cell manipulation, including sorting and single cell trapping, and even single cell characterization. The focus is on electric field, mechanical, and fluorescence-based methods for single cell analysis and characterization, as well as the integrated microfluidic devices. The authors further discuss future commercialization and research prospects, highlight current bottlenecks, and provide their perspective on the prospects for microfluidic cell manipulation.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Review
Chemistry, Analytical
Xuhao Luo, Jui-Yi Chen, Marzieh Ataei, Abraham Lee
Summary: Traditional cellular analytical technologies often overlook the individual differences within a cell population, while microfluidic technology allows for precise manipulation of individual cells in small volumes, thus providing a better understanding of cellular heterogeneity.
Review
Chemistry, Analytical
Minruihong Wang, Hongyan Liang, Xiao Chen, Deyong Chen, Junbo Wang, Yuan Zhang, Jian Chen
Summary: Single-cell analysis plays a crucial role in scientific research and clinical diagnosis, especially in the study of dynamic immune processes and tumor research. The development of optoelectronic flow cytometry technology offers new possibilities for complete blood cell counting and is expected to become the standard for future blood analysis.
Article
Chemistry, Multidisciplinary
Chenlong Wang, Wanting Hu, Liandi Guan, Xiaoping Yang, Qionglin Liang
Summary: Metabolites directly influence cell responses and phenotypical changes by affecting energy balances, intercellular signals, and other cellular functions. Single-cell metabolite analysis provides insights into functional processes within individual cells. Microfluidics has emerged as a powerful tool in the field of single-cell metabolite analysis.
CHINESE CHEMICAL LETTERS
(2022)
Review
Chemistry, Analytical
Mashooq Khan, Yanhui Bi, Guangyong Zhang, Fangchao Yin, Yaoshuang Xie, Ling Lin, Qiongzheng Hu
Summary: Microfluidics revolutionized single-cell analysis by integrating with various analytical approaches. This review discusses the recent advances, challenges, and future directions of each approach.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Immunology
Julia Reinhardt, Virag Sharma, Antigoni Stavridou, Annett Lindner, Susanne Reinhardt, Andreas Petzold, Mathias Lesche, Fabian Rost, Ezio Bonifacio, Anne Eugster
Summary: In this study, resting and antigen-responsive T effector (Tconv) and Treg cells were distinguished using single-cell technologies. Machine learning was used to identify a minimal set of 27 genes that could accurately discriminate the four-cell populations. TRIM was identified as a novel marker to distinguish Treg cells.
Review
Chemistry, Analytical
Xiaoting Guo, Qiuxia Shen, Ziyu Chen, Ziyi He, Xianghua Yan
Summary: This review provides an overview of microfluidic technology for bacterial single-cell analysis in mammals. It discusses single-bacterial compartmentalization strategies and detection techniques in microfluidic systems, and highlights recent advances in single-bacterial microfluidics from nine aspects. It also discusses current challenges and future perspectives for improving microfluidic technology for bacterial single-cell analysis. This review will contribute to a better understanding of the evolutionary and functional diversity of mammalian microbiomes.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Review
Chemistry, Analytical
Sheng Yan, Dan Yuan
Summary: The development of microfluidic technologies, particularly microflow cytometry with 3D focusing capabilities, has shown great promise in single-cell analysis, offering a wide range of applications in biology and medicine.
Article
Chemistry, Physical
Zoltan Szittner, Beatrix Peter, Sandor Kurunczi, Inna Szekacs, Robert Horvath
Summary: This review summarizes the current state of label-free identification and functional characterization of leukocytes using biosensors and novel single cell techniques. Label-free characterization offers advantages such as decreased processing time and reagent costs, point-of-care diagnostics, and the ability to analyze cells in real-time kinetic processes. Techniques for characterizing single cells on solid substrates, particularly surface sensitive technologies, are emphasized. These techniques are important for studying small cell populations and individual cells in health and disease. Novel label-free approaches also provide solutions for extracting unlabeled cells for downstream processing.
ADVANCES IN COLLOID AND INTERFACE SCIENCE
(2022)
Article
Engineering, Biomedical
Pallavi Gupta, Ashwini Shinde, Kavitha Illath, Srabani Kar, Moeto Nagai, Fan-Gang Tseng, Tuhin Subhra Santra
Summary: Single-neuron actions are crucial for brain function, and microfluidic systems provide precise control over the micro-environment for single-neuron analysis. These platforms offer insights into brain cell diversity and dynamics related to brain development and disorders. This review highlights recent advances in microfluidic devices for single-neuron analysis and emphasizes limitations and future challenges.
MATERIALS TODAY BIO
(2022)
Article
Chemistry, Analytical
Lili Cong, Jiaqi Wang, Xinli Li, Yu Tian, Shizhi Xu, Chongyang Liang, Weiqing Xu, Weigang Wang, Shuping Xu
Summary: A microfluidic-based surface-enhanced Raman scattering (SERS) platform has been developed for analyzing cytokines secreted by single cells, demonstrating the importance of tracking specific cell-secreted cytokines and providing guidance for cancer early diagnosis and single-cell secretion research.
ANALYTICAL CHEMISTRY
(2022)
Article
Oncology
Ahmad Raza, Meng-Chi Yen, Gangga Anuraga, Iram Shahzadi, Muhammad Waqar Mazhar, Hoang Dang Khoa Ta, Do Thi Minh Xuan, Sanskriti Dey, Sachin Kumar, Adrian Wangsawijaya Santoso, Bianca Tobias William, Chih-Yang Wang
Summary: This study aimed to find a prognostic biomarker for GBM treatment. By analyzing data from the TCGA database, it was found that GNAI3 is associated with poor prognosis in GBM and is involved in important pathways such as macrophage maturation and cytoskeleton arrangements. These findings suggest that GNAI3 may serve as a valuable prognostic biomarker for the treatment of GBM.
Review
Chemistry, Analytical
Yishen Tian, Rong Hu, Guangshi Du, Na Xu
Summary: Adoptive cell therapy (ACT) is a personalized therapy that has shown great success in treating hematologic malignancies and potential applications for solid tumors. Microfluidic chips have advantages of high throughput, low cell damage, and fast amplification rates, and can simplify ACT preparation steps and reduce costs.
Review
Chemistry, Analytical
Xiaowen Ou, Peng Chen, Bi-Feng Liu
Summary: Cell analysis at the single-cell level is crucial for understanding the heterogeneity within cell populations and the characteristics of individual cells. Microfluidic chip systems have been widely used for single-cell analysis due to their precise manipulation and sensitive detection capabilities. This review focuses on the optical technologies used in single-cell analysis on microfluidic chip systems, including fluorescence, surface-enhanced Raman spectroscopy, surface plasmon resonance, and interferometry. The recent applications and future directions of these optical technologies are discussed.
Article
Biochemical Research Methods
Yan Liu, Ke Wang, Xiaohao Sun, Deyong Chen, Junbo Wang, Jian Chen
Summary: This study presented a microfluidic platform that characterizes single-cell biomechanical and bioelectrical parameters simultaneously, enabling classification of different cell types and quantification of multiple cell parameters for the first time.
Article
Biochemical Research Methods
Huiwen Tan, Minruihong Wang, Yi Zhang, Xukun Huang, Deyong Chen, Yueying Li, Min-Hsien Wu, Ke Wang, Junbo Wang, Jian Chen
Summary: This study collected inherent bioelectrical parameters of white blood cells using an impedance flow cytometry, and successfully achieved 3-part classification of leukocytes, providing a new approach for label-free electrical characterization of white blood cells.
Article
Engineering, Electrical & Electronic
Sen Zhang, Yu Zheng, Yulan Lu, Bo Xie, Deyong Chen, Junbo Wang, Jian Chen
Summary: This article presents a resonant micro-pressure sensor with glass-silicon coupling wafer packaging, which reduces the impact of environmental temperature and improves the accuracy and stability of measurement.
IEEE SENSORS JOURNAL
(2022)
Article
Chemistry, Analytical
Yumo Duan, Anxiang Zhong, Yulan Lu, Jian Chen, Deyong Chen, Junbo Wang
Summary: This paper presents an integrated structure of an electrochemical seismic micro sensor based on four centrosymmetric electrodes. Numerical simulations and experimental characterizations show the feasibility and advantages of this structure in seismic monitoring.
Article
Engineering, Electrical & Electronic
Jie Yu, Yulan Lu, Bo Xie, Qinggang Meng, Zongze Yu, Jiaxin Qin, Jian Chen, Junbo Wang, Deyong Chen
Summary: In this study, a sensor based on double resonators was developed for high-accuracy and high-pressure applications. The measurement of pressure was achieved by measuring the frequency shifts of the resonators suspended in a sensitive diaphragm. The sensor structures were optimized using finite element analysis, and the direct current biased voltage and the negative stiffness effect were reduced by adopting dual synthetic comb-driven-force in the resonator. The developed sensor exhibited high Q-factor value, differential pressure sensitivity, temperature sensitivity, and low fitting errors and measurement errors.
IEEE SENSORS JOURNAL
(2022)
Article
Nanoscience & Nanotechnology
Bowen Liu, Tian Liang, Wenjie Qi, Anxiang Zhong, Mingwei Chen, Yulan Lu, Jian Chen, Deyong Chen, Junbo Wang
Summary: A new electrochemical angular microaccelerometer with integrated sensitive electrodes perpendicular to flow channels was developed, with better sensitivity and performance compared to traditional products and previous microaccelerometers, suitable for measuring rotational accelerations.
MICROSYSTEMS & NANOENGINEERING
(2022)
Article
Biochemical Research Methods
Minruihong Wang, Huiwen Tan, Yimin Li, Xiao Chen, Deyong Chen, Junbo Wang, Jian Chen
Summary: This study demonstrated the feasibility of differential diagnosis of five types of leukocytes based on label-free impedance profiles of single cells. By utilizing two types of neural pattern recognition, classification accuracies of 84.9% and 97.5% were achieved, providing a new perspective for differentiating white blood cells using impedance flow cytometry.
Article
Biochemical Research Methods
Guang Yang, Hongyu Yang, Ting Zhang, Chiyuan Gao, Deyong Chen, Junbo Wang, Jian Chen
Summary: This study presents a quantitative flow cytometry using droplet-based constriction microchannels, which provides high reliability and sensitivity. The method encapsulates single cells and labeled antibodies in droplets, and measures protein expression by sampling fluorescent signals and calibrating fluorescence intensity. The detection reliability was improved by analyzing and comparing multiple stripping agents, while detection sensitivity was enhanced using light modulation and quartz microchannels. The study demonstrated the quantification of mutant p53 and other protein expressions in single cells, offering a new quantitative perspective for flow cytometry.
Article
Engineering, Electrical & Electronic
Jie Yu, Zongze Yu, Yulan Lu, Bo Xie, Deyong Chen, Junbo Wang, Jian Chen
Summary: This study developed a resonant high-pressure microsensor with a measurement range of 30 MPa using a vertical distribution of dual resonators and an oil-filled structure. The microsensor demonstrated high accuracies and sensitivities with pressure sensitivities quantified as 0.135 kHz/MPa, -0.085 kHz/MPa, and 0.219 kHz/MPa for Resonator I, Resonator II, and the differential output of the dual resonators under 20 degrees Celsius, respectively. The study presented a new perspective in high-pressure measurements in harsh environments.
IEEE ELECTRON DEVICE LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Huiwen Tan, Xiao Chen, Xukun Huang, Deyong Chen, Xuzhen Qin, Junbo Wang, Jian Chen
Summary: This study introduces a microfluidic impedance flow cytometry that allows the quantification of intrinsic bio-dielectric parameters of single cells. It combines constrictional microchannel, numerical simulation, and neural network to accurately determine the cell parameters. Compared to conventional methods, this microfluidic platform provides a more effective tool for flow cytometry.
IEEE SENSORS JOURNAL
(2023)
Article
Nanoscience & Nanotechnology
Xiao Chen, Minruihong Wang, Yan Liu, Mingyue Liu, Deyong Chen, Bo Chen, Junbo Wang, Jian Chen
Summary: Single-cell impedance flow cytometry is a label-free tool that can measure electrical properties and distinguish cell populations. However, converting preliminary electrical data into single-cell intrinsic electrical properties (e.g., membrane relative permittivity and cytoplasmic conductivity) is challenging. This study used numerical simulation and neural network fitting to interpret the electrical data in impedance flow cytometry. The results showed that neural network fitting was more accurate in quantifying single-cell electrical properties compared to the conventional method using the Maxwell's mixture equation.
MICROFLUIDICS AND NANOFLUIDICS
(2023)
Article
Materials Science, Multidisciplinary
Mingyue Liu, Bo Chen, Dehai Zhang, Jian Chen
Summary: This paper studies the spectral characteristics of biomimetic micro-nano structures in microwave-transmitting thermal control materials, and finds that the tip height and the air gap have a regulatory effect on the spectral characteristics. The biomimetic structures can decrease the solar absorptance and increase the infrared emissivity, which may give suggestions on adjusting the spectral characteristics of aerospace microwave-transmitting thermal control materials.
Article
Engineering, Electrical & Electronic
Jiahui Yao, Chao Cheng, Han Xue, Xingyu Li, Yulan Lu, Bo Xie, Junbo Wang, Deyong Chen, Jian Chen
Summary: This article presents a high-sensitivity resonant differential pressure microsensor based on wafer-level eutectic bonding. The microsensor includes dual resonators embedded in the pressure-sensitive diaphragm and a silicon cap to form a vacuum cavity. Differential pressures cause deflections of the diaphragm and result in shifts in resonant frequencies. The microsensor exhibits excellent performance with a differential pressure sensitivity of 181.53 Hz/kPa and a maximum fitting error of less than 80 Pa.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Chemistry, Analytical
Siyuan Chen, Jiaxin Qin, Yulan Lu, Bo Xie, Junbo Wang, Deyong Chen, Jian Chen
Summary: In this paper, an all-silicon resonant pressure microsensor based on eutectic bonding was developed, which effectively tackles the issue of thermal expansion coefficient mismatches and residual thermal stresses during the bonding process. By employing a silicon cap, temperature disturbances of the microsensor were effectively addressed, resulting in improved accuracy and reduced frequency fluctuations. The characterization results showed that the performance of the microsensor encapsulated with the silicon cap was significantly better than that with a glass cap.
Article
Biochemical Research Methods
Huiwen Tan, Xiao Chen, Xukun Huang, Deyong Chen, Xuzhen Qin, Junbo Wang, Jian Chen
Summary: This paper presents the development of an electrical micro flow cytometry system for leukocyte differentials using a constrictional microchannel and a deep neural network. The system achieved a classification accuracy of 95.2% by analyzing electrical results and optimizing key elements of the recurrent neural network. The system was validated on leukocyte mixtures, demonstrating its ability to accurately classify different types of white blood cells.
