1
|
Shi Q, Li J, Liu C, Zhai X, Chen L, Zhang Y, Feng D, Zhang R, Li J, Ling S, Zheng L, Luo Y, Liu Y. Fluorescence-coded logarithmic-dilution digital droplet PCR for ultrawide-dynamic-range nucleic acid quantification. Biosens Bioelectron 2023; 241:115702. [PMID: 37751652 DOI: 10.1016/j.bios.2023.115702] [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: 07/01/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 09/28/2023]
Abstract
Digital PCR (dPCR) is considered the next generation of nucleic acid detection for its ability of absolute quantification and high sensitivity. However, when compared to the current gold standard, quantitative PCR (qPCR), dPCR is falling behind by several orders of magnitude in dynamic range, which limits its clinical applicability. Here we present fluorescence-coded logarithmic-dilution digital droplet PCR (Flodd-PCR) that features a dynamic range across 7 orders of magnitude, over 2 orders higher than conventional dPCR (4-5 log range) and approaching that of qPCR (7-8 log range). Flodd-PCR realizes such a wide dynamic range by dividing ∼20,000 droplets into 4 groups, each featuring a unique dilution factor of the loaded DNA template and thus a shifted dynamic range. This is achieved by a microfluidic chip that performs multi-step serial dilution (20-925 folds) and droplet generation. The post-PCR droplets can be clustered in silico based on their dilution indicator fluorescence and analyzed independently. Experimentally, Flodd-PCR can detect 4-20,000,000 copies/μL (cp./μL) of the synthetic human papillomavirus (HPV) DNA and outperforms standard dPCR when analyzing clinical HPV samples. Furthermore, Flodd-PCR can be implemented with existing dPCR system set-up with minimal adjustment, and therefore will also have wide practicality in different applications which conventional dPCR has already demonstrated.
Collapse
Affiliation(s)
- Qingyuan Shi
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China; School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Jie Li
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Chunchen Liu
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Xuanpei Zhai
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Long Chen
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Ye Zhang
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Dezhi Feng
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Rong Zhang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Jian Li
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Shengjie Ling
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Lei Zheng
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yuan Luo
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
| | - Yifan Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China; Shanghai Clinical Research and Trial Center, Shanghai, 201210, China.
| |
Collapse
|
2
|
Liu F, Ge A, Li C, Gao W, Wu F, Kan L, Xu J, Ma B. Auto Flow-Focusing Droplet Reinjection Chip-Based Integrated Portable Droplet System (iPODs). Anal Chem 2023; 95:6672-6680. [PMID: 37053544 DOI: 10.1021/acs.analchem.3c00239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
Droplet microfluidics provides powerful tools for biochemical applications. However, precise fluid control is usually required in the process of droplet generation and detection, which hinders droplet-based applications in point-of-care testing (POCT). Here, we present a droplet reinjection method capable of droplet distribution without precise fluid control and external pumps by which the droplets can be passively aligned and detected one by one at intervals. By further integrating the surface-wetting-based droplet generation chip, an integrated POrtable Droplet system (iPODs) is developed. The iPODs integrates multiple functions such as droplet generation, online reaction, and serial reading. Using the iPODs, monodisperse droplets can be generated at a flow rate of 800 Hz with a narrow size distribution (CV <2.2%). Droplets are kept stable, and the fluorescence signal can be significantly identified after the reaction. The spaced droplet efficiency in the reinjection chip is nearly 100%. In addition, we validate digital loop-mediated isothermal amplification (dLAMP) within 80 min with a simple operation workflow. The results show that iPODs has good linearity (R2 = 0.999) at concentrations ranging from 101 to 104 copies/μL. Thus, the developed iPODs highlights its potential to be a portable, low-cost, and easy-to-deploy toolbox for droplet-based applications.
Collapse
Affiliation(s)
- Fengyi Liu
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
- Shandong Energy Institute, Qingdao 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao 266101, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Anle Ge
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
- Shandong Energy Institute, Qingdao 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao 266101, China
| | - Chunyu Li
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
- Shandong Energy Institute, Qingdao 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao 266101, China
| | - Wei Gao
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
- Shandong Energy Institute, Qingdao 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao 266101, China
| | - Fei Wu
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
- Shandong Energy Institute, Qingdao 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao 266101, China
| | - Lingyan Kan
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
- Shandong Energy Institute, Qingdao 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao 266101, China
| | - Jian Xu
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
- Shandong Energy Institute, Qingdao 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao 266101, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bo Ma
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
- Shandong Energy Institute, Qingdao 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao 266101, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
3
|
Self-Assembled Inkjet Printer for Droplet Digital Loop-Mediated Isothermal Amplification. CHEMOSENSORS 2022. [DOI: 10.3390/chemosensors10070247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Developing rapid and inexpensive diagnostic tools for molecular detection has been pushed forward by the advancements of technical aspects. However, attention has rarely been paid to the molecular detection methodology using inkjet printing technique. Herein, we developed an approach that employed a self-assembled inkjet printer as the enabling technology to realize droplet digital loop-mediated isothermal amplification in a low-cost and practical format. An inkjet printer is a self-assembled tool for the generation of discrete droplets in controllable volumes from a picoliter to a nanoliter. A microfluidic chip serves as a droplets reservoir to perform droplet digital LAMP assays. The inkjet printer approach successfully quantified the HPV16 from CaSki cells. This self-assembled and practical inkjet printer device may therefore become a promising tool for rapid molecular detection and can be extended to on-site analysis.
Collapse
|
4
|
Kao YT, Calabrese S, Borst N, Lehnert M, Lai YK, Schlenker F, Juelg P, Zengerle R, Garstecki P, von Stetten F. Microfluidic One-Pot Digital Droplet FISH Using LNA/DNA Molecular Beacons for Bacteria Detection and Absolute Quantification. BIOSENSORS 2022; 12:bios12040237. [PMID: 35448297 PMCID: PMC9032532 DOI: 10.3390/bios12040237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/06/2022] [Accepted: 04/10/2022] [Indexed: 02/06/2023]
Abstract
We demonstrate detection and quantification of bacterial load with a novel microfluidic one-pot wash-free fluorescence in situ hybridization (FISH) assay in droplets. The method offers minimal manual workload by only requiring mixing of the sample with reagents and loading it into a microfluidic cartridge. By centrifugal microfluidic step emulsification, our method partitioned the sample into 210 pL (73 µm in diameter) droplets for bacterial encapsulation followed by in situ permeabilization, hybridization, and signal detection. Employing locked nucleic acid (LNA)/DNA molecular beacons (LNA/DNA MBs) and NaCl-urea based hybridization buffer, the assay was characterized with Escherichia coli, Klebsiella pneumonia, and Proteus mirabilis. The assay performed with single-cell sensitivity, a 4-log dynamic range from a lower limit of quantification (LLOQ) at ~3 × 103 bacteria/mL to an upper limit of quantification (ULOQ) at ~3 × 107 bacteria/mL, anda linearity R2 = 0.976. The total time-to-results for detection and quantification was around 1.5 hours.
Collapse
Affiliation(s)
- Yu-Ting Kao
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (Y.-T.K.); (N.B.); (Y.-K.L.); (R.Z.)
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland;
| | - Silvia Calabrese
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Nadine Borst
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (Y.-T.K.); (N.B.); (Y.-K.L.); (R.Z.)
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Michael Lehnert
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Yu-Kai Lai
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (Y.-T.K.); (N.B.); (Y.-K.L.); (R.Z.)
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland;
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Franziska Schlenker
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Peter Juelg
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Roland Zengerle
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (Y.-T.K.); (N.B.); (Y.-K.L.); (R.Z.)
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Piotr Garstecki
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland;
| | - Felix von Stetten
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (Y.-T.K.); (N.B.); (Y.-K.L.); (R.Z.)
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
- Correspondence: ; Tel.: +49-761-203-73243
| |
Collapse
|
5
|
Zong N, Gao Y, Chen Y, Luo X, Jiang X. Automated Centrifugal Microfluidic Chip Integrating Pretreatment and Molecular Diagnosis for Hepatitis B Virus Genotyping from Whole Blood. Anal Chem 2022; 94:5196-5203. [PMID: 35289612 DOI: 10.1021/acs.analchem.2c00337] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Point-of-care (POC) testing for nucleic acid that combines pretreatment and molecular diagnosis is crucial in analyzing complex samples such as those encountered in clinical diagnosis. Herein, we developed a centrifugal microfluidic platform, which can achieve a series of functions including separating serum and adsorbing, washing, eluting, and detecting DNA. We combined multiple signal enhancement systems including recombinase polymerase amplification (RPA), T7 transcription technology, and clustered regularly interspaced short palindromic repeat (CRISPR) technology to yield an ultrabright signal, which can avoid false-negative results. As an application, hepatitis B virus (HBV), a virus that causes global public health problems, was successfully detected and genotyped from whole blood on the automated centrifugal microfluidic platform. Compared to the traditional diagnosis process, the POC platform largely decreased the consumption of time from 3 to 1 h and the consumption of professional labor from three persons to only one. The automated centrifugal microfluidic platform integrated pretreatment and molecular diagnosis will play an essential role in clinical detection.
Collapse
Affiliation(s)
- Nan Zong
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Rd., Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| | - Ying Gao
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Rd., Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| | - Yong Chen
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Rd., Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| | - Xueqing Luo
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Rd., Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| | - Xingyu Jiang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Rd., Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| |
Collapse
|
6
|
Wei C, Yu C, Li S, Meng J, Li T, Cheng J, Pan F, Li J. Easy-to-Operate Co-flow Step Emulsification Device for Droplet Digital Polymerase Chain Reaction. Anal Chem 2022; 94:3939-3947. [PMID: 35200004 DOI: 10.1021/acs.analchem.1c04983] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Digital polymerase chain reaction (PCR) plays important roles in the detection and quantification of nucleic acid targets, while there still remain challenges including high cost, complex operation, and low integration of the instrumental system. Here, in this work, a novel microfluidic chip based on co-flow step emulsification is proposed for droplet digital PCR (ddPCR), which can achieve droplet generation, droplet array self-assembly, PCR amplification, and fluorescence detection on a single device. With the combination of single-layer lithography and punching operation, a step microstructure was constructed and it served as the key element to develop a Laplace pressure gradient at the Rayleigh-Plateau instability interface so as to achieve droplet generation. It is demonstrated that the fabrication of step microstructure is low cost, easy-to-operate, and reliable. In addition, the single droplet volume can be adjusted flexibly due to the co-flow design; thus, the ddPCR chip can get an ultrahigh upper limit of quantification to deal with DNA templates with high concentrations. Furthermore, the volume fraction of the resulting droplets in this ddPCR chip can be up to 72% and it results in closely spaced droplet arrays, makes the best of CCD camera for fluorescence detections, and is beneficial for the minimization of a ddPCR system. The quantitative capability of the ddPCR chip was evaluated by measuring template DNA at concentrations from 20 to 50 000 copies/μL. Owing to the characteristics of low cost, easy operation, excellent quantitative capability, and minimization, the proposed ddPCR chip meets the requirements of DNA molecule quantification and is expected to be applied in the point-of-care testing field.
Collapse
Affiliation(s)
- Chunyang Wei
- Hebei Key Laboratory of Robotic Sensing and Human-robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300132, China.,State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China
| | - Chengzhuang Yu
- Hebei Key Laboratory of Robotic Sensing and Human-robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300132, China
| | - Shanshan Li
- Hebei Key Laboratory of Robotic Sensing and Human-robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300132, China.,State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China
| | - Jiyu Meng
- Hebei Key Laboratory of Robotic Sensing and Human-robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300132, China
| | - Tiejun Li
- Hebei Key Laboratory of Robotic Sensing and Human-robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300132, China
| | - Jingmeng Cheng
- Hebei Key Laboratory of Robotic Sensing and Human-robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300132, China
| | - Feng Pan
- Hebei Key Laboratory of Robotic Sensing and Human-robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300132, China
| | - Junwei Li
- Institute of Biophysics, School of Health Science and Biomedical Engineering, Hebei University of Technology, Tianjin 300401, China.,Department of Electronics and Information Engineering, Hebei University of Technology, Langfang 065000, China
| |
Collapse
|