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Zhang C, Tian K, Meng Z, Zhang J, Lu Y, Tan L, Zhang M, Xu D. A versatile dilution-treatment-detection microfluidic chip platform for rapid In vitro lung cancer drug combination sensitivity evaluation. Talanta 2024; 277:126298. [PMID: 38823330 DOI: 10.1016/j.talanta.2024.126298] [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: 03/14/2024] [Revised: 04/30/2024] [Accepted: 05/20/2024] [Indexed: 06/03/2024]
Abstract
Combination drug therapy represents an effective strategy for treating certain drug-resistant and intractable cancer cases. However, determining the optimal combination of drugs and dosages is challenging due to clonal diversity in patients' tumors and the lack of rapid drug sensitivity evaluation methods. Microfluidic technology offers promising solutions to this issue. In this study, we propose a versatile microfluidic chip platform capable of integrating all processes, including dilution, treatment, and detection, for in vitro drug sensitivity assays. This platform innovatively incorporates several modules, including automated discrete drug logarithmic concentration generation, on-chip cell perfusion culture, and parallel drug treatments of cancer cell models. Moreover, it is compatible with microplate readers or high-content imaging systems for swift detection and automated monitoring, simplifying on-chip drug evaluation. Proof of concept is demonstrated by assessing the in vitro potency of two drugs, cisplatin, and etoposide, against the lung adenocarcinoma A549 cell line, under both single-drug and combination treatment conditions. The findings reveal that, compared to conventional microplate approaches with static cultivation, this on-chip automated perfusion bioassays yield comparable IC50 values with lower variation and a 50 % reduction in drug preparation time. This versatile dilution-treatment-detection microfluidic platform offers a promising tool for rapid and precise drug assessments, facilitating in vitro drug sensitivity evaluation in personalized cancer chemotherapy.
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Affiliation(s)
- Chenchen Zhang
- School of Chemistry and Chemical Engineering, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, China
| | - Kuo Tian
- School of Chemistry and Chemical Engineering, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, China
| | - Zixun Meng
- School of Chemistry and Chemical Engineering, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, China
| | - Jianing Zhang
- School of Chemistry and Chemical Engineering, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, China
| | - Yihong Lu
- NMPA Key Laboratory for Impurity Profile of Chemical Drugs, Jiangsu Institute for Food and Drug Control, Nanjing, China
| | - Li Tan
- NMPA Key Laboratory for Impurity Profile of Chemical Drugs, Jiangsu Institute for Food and Drug Control, Nanjing, China
| | - Mei Zhang
- NMPA Key Laboratory for Impurity Profile of Chemical Drugs, Jiangsu Institute for Food and Drug Control, Nanjing, China
| | - Danke Xu
- School of Chemistry and Chemical Engineering, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, China.
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Deng X, Su Y, Xu M, Gong D, Cai J, Akhter M, Chen K, Li S, Pan J, Gao C, Li D, Zhang W, Xu W. Magnetic Micro/nanorobots for biological detection and targeted delivery. Biosens Bioelectron 2023; 222:114960. [PMID: 36463650 DOI: 10.1016/j.bios.2022.114960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 10/12/2022] [Accepted: 11/25/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Xue Deng
- College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Yuan Su
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health Institute of Nutrition and Health, China Agricultural University, Beijing, 100083, China
| | - Minghao Xu
- College of Engineering, China Agricultural University, Beijing, 100083, China
| | - De Gong
- School of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China
| | - Jun Cai
- School of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China
| | - Muhammad Akhter
- College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China
| | - Kehan Chen
- College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Shuting Li
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health Institute of Nutrition and Health, China Agricultural University, Beijing, 100083, China
| | - Jingwen Pan
- College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Chao Gao
- College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Daoliang Li
- College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China
| | - Wenqiang Zhang
- College of Engineering, China Agricultural University, Beijing, 100083, China.
| | - Wentao Xu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health Institute of Nutrition and Health, China Agricultural University, Beijing, 100083, China; Key Laboratory of Safety Assessment of Genetically Modified Organism Food Safety MOA, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
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Wei Y, Ren Z, Liu C, Jiang T, Wang R, Shi C, Liu C. All-fiber biological detection microfluidic chip based on space division and wavelength division multiplexing technologies. LAB ON A CHIP 2022; 22:4501-4510. [PMID: 36305279 DOI: 10.1039/d2lc00681b] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
To further reduce the size of a microfluidic detection chip and the sample consumption and to shorten the chip manufacturing cycle, an all-fiber SPR detection multichannel microfluidic chip was proposed and demonstrated in this paper. The microfluidic channel of the proposed chip was provided by the air channel of a double side-hole fiber, the detection unit was fabricated using a dumbbell fiber with a fiber core exposed to air, and the sensing probe was composed and packaged by fiber micro-processing technology. The internal double channels of the fiber constructed from double side-hole and dumbbell fibers can realize dual channel detection based on space division multiplexing. 30 nm silver and 50 nm gold films were respectively coated on the left and right sides of the dumbbell fiber, which can realize the dual channel simultaneous detection based on wavelength division multiplexing. We employed the proposed microfluidic chip to detect immunoglobulin G and dopamine molecules, where the average sensitivity is 0.252 nm (mg mL-1)-1 and 0.061 nm (μg mL-1)-1, and the LOD is 0.397 mg mL-1 and 1.639 μg mL-1, respectively. The microfluidic channel and detection unit of all-fiber multi-channel SPR detection microfluidic chip are provided by a soft and flexible fiber, which is compact in structure, flexible in fabrication and short in manufacturing cycle, making it possible for the microfluidic chip to enter the human body for detection and enabling a new approach for the fabrication of wearable detection microfluidic devices. This provides a new idea for the development of microfluidic chips.
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Affiliation(s)
- Yong Wei
- College of Electronic & Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
| | - Zhuo Ren
- College of Electronic & Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
| | - Chunlan Liu
- College of Electronic & Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
| | - Tianci Jiang
- College of Electronic & Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
| | - Rui Wang
- College of Electronic & Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
| | - Chen Shi
- College of Electronic & Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
| | - Chunbiao Liu
- College of Electronic & Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
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