1
|
Zhou C, Liu L, Chen J, Fu Q, Chen Z, Wang J, Sun X, Ai L, Xu X, Wang J. Rapid authentication of characteristic milk powders by recombinase polymerase amplification assays. Food Chem 2024; 443:138540. [PMID: 38277935 DOI: 10.1016/j.foodchem.2024.138540] [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: 10/16/2023] [Revised: 12/30/2023] [Accepted: 01/21/2024] [Indexed: 01/28/2024]
Abstract
The authentication of dairy species has great significance for food safety. This study focused on a more rapid method for identifying major dairy species, and specific recombinase polymerase amplification (RPA)-based assays for cattle, goat, sheep, camel and donkey were developed. Through the developed RPA-based assays, goats and sheep could be simultaneously identified and bovine families could be differentiated. The performances of the RPA assays were validated using 37 milk powder samples, of which 16.2% (6/37) were suspected of being adulterated and 24.3% (9/37) were potentially at risk of being wrongly identified as adulteration. The effectiveness of the developed assays for crude DNA detection was also validated by a rapid nucleic acid extraction kit, and results showed that the presence of large amounts of protein and fat did not affect the qualitative results. Therefore, these assays could combine with the rapid nucleic acids extraction methods for being used in field detection.
Collapse
Affiliation(s)
- Cang Zhou
- School of Public Health, Hebei Medical University, Shijiazhuang 050017, China; Food Microbiology and Animal Quarantine Laboratory, Technology Center of Shijiazhuang Customs, Shijiazhuang 050051, China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Libing Liu
- Food Microbiology and Animal Quarantine Laboratory, Technology Center of Shijiazhuang Customs, Shijiazhuang 050051, China
| | - Jia Chen
- College of Chemical Technology, Shijiazhuang University, Shijiazhuang 050035, China
| | - Qi Fu
- Food Microbiology and Animal Quarantine Laboratory, Technology Center of Shijiazhuang Customs, Shijiazhuang 050051, China
| | - Zhimin Chen
- Shijiazhuang Food and Drug Inspection Center, Shijiazhuang 050020, China
| | - Jinfeng Wang
- Food Microbiology and Animal Quarantine Laboratory, Technology Center of Shijiazhuang Customs, Shijiazhuang 050051, China
| | - Xiaoxia Sun
- Food Microbiology and Animal Quarantine Laboratory, Technology Center of Shijiazhuang Customs, Shijiazhuang 050051, China
| | - Lianfeng Ai
- Food Microbiology and Animal Quarantine Laboratory, Technology Center of Shijiazhuang Customs, Shijiazhuang 050051, China
| | - Xiangdong Xu
- School of Public Health, Hebei Medical University, Shijiazhuang 050017, China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China.
| | - Jianchang Wang
- School of Public Health, Hebei Medical University, Shijiazhuang 050017, China; Food Microbiology and Animal Quarantine Laboratory, Technology Center of Shijiazhuang Customs, Shijiazhuang 050051, China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China.
| |
Collapse
|
2
|
Peng K, Wu Z, Feng Z, Deng R, Ma X, Fan B, Liu H, Tang Z, Zhao Z, Li Y. A highly integrated digital PCR system with on-chip heating for accurate DNA quantitative analysis. Biosens Bioelectron 2024; 253:116167. [PMID: 38422813 DOI: 10.1016/j.bios.2024.116167] [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: 09/27/2023] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 03/02/2024]
Abstract
Digital polymerase chain reaction (dPCR) is extensively used for highly sensitive disease diagnosis due to its single-molecule detection ability. However, current dPCR systems require intricate DNA sample distribution, rely on cumbersome external heaters, and exhibit sluggish thermal cycling, hampering efficiency and speed of the dPCR process. Herein, we presented the development of a microwell array based dPCR system featuring an integrated self-heating dPCR chip. By utilizing hydrodynamic and electrothermal simulations, the chip's structure is optimized, resulting in improved partitioning within microwells and uniform thermal distribution. Through strategic hydrophilic/hydrophobic modifications on the chip's surface, we effectively secured the compartmentalization of sample within the microwells by employing an overlaying oil phase, which renders homogeneity and independence of samples in the microwells. To achieve precise, stable, uniform, and rapid self-heating of the chip, the ITO heating layer and the temperature control algorithm are deliberately designed. With a capacity of 22,500 microwells that can be easily expanded, the system successfully quantified EGFR plasmid solutions, exhibiting a dynamic linear range of 105 and a detection limit of 10 copies per reaction. To further validate its performance, we employed the dPCR platform for quantitative detection of BCR-ABL1 mutation gene fragments, where its performance was compared against the QuantStudio 3D, and the self-heating dPCR system demonstrated similar analytical accuracy to the commercial dPCR system. Notably, the individual chip is produced on a semiconductor manufacturing line, benefiting from mass production capabilities, so the chips are cost-effective and conducive to widespread adoption and accessibility.
Collapse
Affiliation(s)
- Kang Peng
- BOE Technology Group Co Ltd., Beijing, 100176, PR China
| | - Zhihong Wu
- BOE Technology Group Co Ltd., Beijing, 100176, PR China
| | - Zhongxin Feng
- Affiliated Hospital of Guizhou Medical University, Guiyang, 550002, Guizhou, PR China
| | - Ruijun Deng
- BOE Technology Group Co Ltd., Beijing, 100176, PR China
| | - Xiangguo Ma
- BOE Technology Group Co Ltd., Beijing, 100176, PR China
| | - Beiyuan Fan
- BOE Technology Group Co Ltd., Beijing, 100176, PR China
| | - Haonan Liu
- BOE Technology Group Co Ltd., Beijing, 100176, PR China
| | - Zhuzhu Tang
- Affiliated Hospital of Guizhou Medical University, Guiyang, 550002, Guizhou, PR China
| | - Zijian Zhao
- BOE Technology Group Co Ltd., Beijing, 100176, PR China.
| | - Yanzhao Li
- BOE Technology Group Co Ltd., Beijing, 100176, PR China.
| |
Collapse
|
3
|
Ganguly R, Lee CS. A Poisson-Independent Approach to Precision Nucleic Acid Quantification in Microdroplets. ACS APPLIED BIO MATERIALS 2024; 7:3441-3451. [PMID: 38658190 DOI: 10.1021/acsabm.4c00350] [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] [Indexed: 04/26/2024]
Abstract
Digital PCR (dPCR) has become indispensable in nucleic acid (NA) detection across various fields, including viral diagnostics and mutant detection. However, misclassification of partitions in dPCR can significantly impact accuracy. Despite existing methods to minimize misclassification bias, accurate classification remains elusive, especially for nonamplified target partitions. To address these challenges, this study introduces an innovative microdroplet-based competitive PCR platform for nucleic acid quantification in microfluidic devices independent of Poisson statistics. In this approach, the target concentration (T) is determined from the concentration of competitor DNA (C) at the equivalence point (E.P.), where C/T is 1. Competitive PCR ensures that the ratio of target to competitor DNA remains constant during amplification, reflected in the resultant fluorescence intensity, allowing the quantification of target DNA concentration at the equivalence point. The unique amplification technique eliminates Poisson distribution, addressing misclassification challenges. Additionally, our approach reduces the need for post-PCR procedures and shortens analytical time. We envision this platform as versatile, reproducible, and easily adaptable for driving significant progress in molecular biology and diagnostics.
Collapse
Affiliation(s)
- Reya Ganguly
- Department of Chemical Engineering and Applied Chemistry, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea
| | - Chang-Soo Lee
- Department of Chemical Engineering and Applied Chemistry, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea
| |
Collapse
|
4
|
Yin W, Zhuang J, Li J, Xia L, Hu K, Yin J, Mu Y. Digital Recombinase Polymerase Amplification, Digital Loop-Mediated Isothermal Amplification, and Digital CRISPR-Cas Assisted Assay: Current Status, Challenges, and Perspectives. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2303398. [PMID: 37612816 DOI: 10.1002/smll.202303398] [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: 04/22/2023] [Revised: 07/29/2023] [Indexed: 08/25/2023]
Abstract
Digital nucleic acid detection based on microfluidics technology can quantify the initial amount of nucleic acid in the sample with low equipment requirements and simple operations, which can be widely used in clinical and in vitro diagnosis. Recently, isothermal amplification technologies such as recombinase polymerase amplification (RPA), loop-mediated isothermal amplification (LAMP), and clustered regularly interspaced short palindromic repeats-CRISPR associated proteins (CRISPR-Cas) assisted technologies have become a hot spot of attention and state-of-the-art digital nucleic acid chips have provided a powerful tool for these technologies. Herein, isothermal amplification technologies including RPA, LAMP, and CRISPR-Cas assisted methods, based on digital nucleic acid microfluidics chips recently, have been reviewed. Moreover, the challenges of digital isothermal amplification and possible strategies to address them are discussed. Finally, future directions of digital isothermal amplification technology, such as microfluidic chip and device manufacturing, multiplex detection, and one-pot detection, are outlined.
Collapse
Affiliation(s)
- Weihong Yin
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Jianjian Zhuang
- Department of Clinical Pharmacology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Cancer Center, Zhejiang University School of Medicine, Hangzhou, 310006, P. R. China
| | - Jiale Li
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Liping Xia
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Kai Hu
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Juxin Yin
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, P. R. China
- School of information and Electrical Engineering, Hangzhou City University, Hangzhou, 310015, P. R. China
| | - Ying Mu
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, P. R. China
| |
Collapse
|
5
|
Feng X, Liu Y, Zhao Y, Sun Z, Xu N, Zhao C, Xia W. Recombinase Polymerase Amplification-Based Biosensors for Rapid Zoonoses Screening. Int J Nanomedicine 2023; 18:6311-6331. [PMID: 37954459 PMCID: PMC10637217 DOI: 10.2147/ijn.s434197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 10/21/2023] [Indexed: 11/14/2023] Open
Abstract
Recent, outbreaks of new emergency zoonotic diseases have prompted an urgent need to develop fast, accurate, and portable screening assays for pathogen infections. Recombinase polymerase amplification (RPA) is sensitive and specific and can be conducted at a constant low temperature with a short response time, making it especially suitable for on-site screening and making it a powerful tool for preventing or controlling the spread of zoonoses. This review summarizes the design principles of RPA-based biosensors as well as various signal output or readout technologies involved in fluorescence detection, lateral flow assays, enzymatic catalytic reactions, spectroscopic techniques, electrochemical techniques, chemiluminescence, nanopore sequencing technologies, microfluidic digital RPA, and clustered regularly interspaced short palindromic repeats/CRISPR-associated systems. The current status and prospects of the application of RPA-based biosensors in zoonoses screening are highlighted. RPA-based biosensors demonstrate the advantages of rapid response, easy-to-read result output, and easy implementation for on-site detection, enabling development toward greater portability, automation, and miniaturization. Although there are still problems such as high cost with unstable signal output, RPA-based biosensors are increasingly becoming one of the most important means of on-site pathogen screening in complex samples involving environmental, water, food, animal, and human samples for controlling the spread of zoonotic diseases.
Collapse
Affiliation(s)
- Xinrui Feng
- College of Public Health, Jilin Medical University, Jilin, 132013, People’s Republic of China
- Medical College, Yanbian University, Yanji, 136200, People’s Republic of China
| | - Yan Liu
- College of Public Health, Jilin Medical University, Jilin, 132013, People’s Republic of China
| | - Yang Zhao
- Department of Emergency and Intensive Medicine, No. 965 Hospital of PLA Joint Logistic Support Force, Jilin, 132013, People’s Republic of China
| | - Zhe Sun
- College of Public Health, Jilin Medical University, Jilin, 132013, People’s Republic of China
- College of Medical Technology, Beihua University, Jilin, 132013, People’s Republic of China
| | - Ning Xu
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, 130062, People’s Republic of China
| | - Chen Zhao
- College of Public Health, Jilin Medical University, Jilin, 132013, People’s Republic of China
| | - Wei Xia
- College of Medical Technology, Beihua University, Jilin, 132013, People’s Republic of China
| |
Collapse
|
6
|
Zhang N, Yue C, Zhan X, Cheng Z, Li C, Du Y, Tian F. Quantitative analysis of respiratory viruses based on lab-on-a-chip platform. Anal Bioanal Chem 2023; 415:6561-6571. [PMID: 37682312 DOI: 10.1007/s00216-023-04935-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/22/2023] [Accepted: 08/29/2023] [Indexed: 09/09/2023]
Abstract
The quantitative analysis of respiratory viruses is of great importance for rapid diagnosis, precision medicine, and prognosis. Several current quantitative analysis systems have been proposed and commercialized. Although they have been proven in trials, quantitative analyzes based on real samples are still complex, time-consuming, and expensive. Therefore, they are not able to directly quantify real samples. In this work, we presented a lab-on-a-chip platform combined with an automated control system to achieve quantitative analysis from samples to results. We developed a multilayer integrated chip to rapidly extract and quantify RNA of coronavirus disease 2019 (COVID-19) pseudovirus from large-volume nasal swab samples. The dependence of the magnetic bead size and the interfacial effect was studied for the first time, and the conditions of immiscible filtration assisted by surface tension (IFAST) method for nucleic acid extraction were optimized to increase the nucleic acid recovery rate up to 85%. Inside the chip, a pneumatic valve was developed for automatic opening and closing of the liquid channel. The integrated chip platform and automatic control system presented here are advantageous for use in resource-limited settings (RLS). In addition, our method can be extended to other respiratory viruses and other sample types.
Collapse
Affiliation(s)
- Ning Zhang
- Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Beijing, 100166, China
| | - Chao Yue
- Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Beijing, 100166, China
| | - Xiaobo Zhan
- Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Beijing, 100166, China
| | - Zhi Cheng
- Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Beijing, 100166, China
| | - Chao Li
- Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Beijing, 100166, China
| | - Yaohua Du
- Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Beijing, 100166, China.
| | - Feng Tian
- Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Beijing, 100166, China.
| |
Collapse
|
7
|
Xu D, Zhang W, Li H, Li N, Lin JM. Advances in droplet digital polymerase chain reaction on microfluidic chips. LAB ON A CHIP 2023; 23:1258-1278. [PMID: 36752545 DOI: 10.1039/d2lc00814a] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
The PCR technique has been known to the general public since the pandemic outbreak of COVID-19. This technique has progressed through three stages: from simple PCR to real-time fluorescence PCR to digital PCR. Among them, the microfluidic-based droplet digital PCR technique has attracted much attention and has been widely applied due to its advantages of high throughput, high sensitivity, low reagent consumption, low cross-contamination, and absolute quantification ability. In this review, we introduce various designs of microfluidic-based ddPCR developed within the last decade. The microfluidic-based droplet generation methods, thermal cycle strategies, and signal counting approaches are described, and the applications in the fields of single-cell analysis, disease diagnosis, and pathogen detection are introduced. Further, the challenges and prospects of microfluidic-based ddPCR are discussed. We hope that this review can contribute to the further development of the microfluidic-based ddPCR technique.
Collapse
Affiliation(s)
- Danfeng Xu
- Key Laboratory of Chemical Metrology and Applications on Nutrition and Health for State Market Regulation, Division of Chemical Metrology and Analytical Science, National Institute of Metrology, Beijing 100029, China.
| | - Weifei Zhang
- Key Laboratory of Chemical Metrology and Applications on Nutrition and Health for State Market Regulation, Division of Chemical Metrology and Analytical Science, National Institute of Metrology, Beijing 100029, China.
| | - Hongmei Li
- Key Laboratory of Chemical Metrology and Applications on Nutrition and Health for State Market Regulation, Division of Chemical Metrology and Analytical Science, National Institute of Metrology, Beijing 100029, China.
| | - Nan Li
- Department of Chemistry, Beijing Key Laboratory of Microanalytical Methods and Instrumentation Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology (Ministry of Education), China.
| | - Jin-Ming Lin
- Department of Chemistry, Beijing Key Laboratory of Microanalytical Methods and Instrumentation Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology (Ministry of Education), China.
| |
Collapse
|
8
|
Fabrication of planar monolayer microreactor array for visual statistical analysis and droplet-based digital quantitative analysis in situ. Anal Bioanal Chem 2023; 415:627-637. [PMID: 36504285 DOI: 10.1007/s00216-022-04451-3] [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: 10/27/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 12/14/2022]
Abstract
Planar monolayer microreactor arrays (PMMRAs) make droplet-based numerical measurements and statistical analysis cheap and easy. However, PMMRAs are typically produced in complex microfluidic devices and, moreover, still requires stringent control to reduce droplet loss during heating. In this paper, a simple, reliable, and flexible method for fabricating PMMRAs in a 96-well plate is described in detail by using simple materials and low-cost equipment. The partitioned droplets spontaneously assemble into PMMRAs in the plates, and this distribution is maintained even after incubation. This is advantageous for in situ analysis based on an individual droplet in droplet digital loop-mediated isothermal amplification (ddLAMP) and does not require the transfer of positive droplets. Precise and reproducible quantification of classical swine fever virus (CSFV) extracts was executed in these PMMRAs to verify its availability. Our results demonstrate that the proposed approach not only provides a flexible and controllable execution scheme for droplet-based nucleic acid quantification in resource-limited laboratories but also opens new perspectives for numerous analytical and biochemical applications using droplets as versatile plastic microreactors.
Collapse
|