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Li J, Cheng J, Li S, Wu JJ, Li J. Virtual Multiplexing Chamber-Based Digital PCR for Camel Milk Authentication Applications. MICROMACHINES 2023; 14:1619. [PMID: 37630155 PMCID: PMC10456615 DOI: 10.3390/mi14081619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 08/10/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023]
Abstract
In this work, we proposed a chamber-based digital PCR (cdPCR) microfluidic device that is compatible with fluorescence imaging systems for milk adulteration detection. The device enables the digitalization of PCR reagents, which are loaded into microchambers, and subsequent thermocycling for DNA amplification. Then, fluorescence images of the microchambers are captured and analyzed to obtain the total number of positive chambers, which is used to calculate the copy numbers of the target DNA, enabling accurate quantitative detections to determine intentional milk adulteration from accidental contaminations. The validation of this device is performed by camel milk authentication. We performed 25,600-chamber virtual multiplexing cdPCR tests using 40 × 40 chamber devices for the detection of DNA templates extracted from pure or mixed milk with different dilutions. Then, the cdPCR chip was used to authenticate blind milk samples, demonstrating its efficacy in real biotechnical applications.
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Affiliation(s)
- Jinchao Li
- Hebei Key Laboratory of Smart Sensing and Human-Robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China
| | - Jingmeng Cheng
- Hebei Key Laboratory of Smart Sensing and Human-Robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Shanshan Li
- Hebei Key Laboratory of Smart Sensing and Human-Robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China
| | - Jie Jayne Wu
- Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA
| | - Junwei Li
- Institute of Biophysics, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300401, China
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2
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Zhang H, Dong K, Xiang S, Lin Y, Cha X, Shang Y, Xu W. A Novel Cu2+ Quantitative Detection Nucleic Acid Biosensors Based on DNAzyme and “Blocker” Beacon. Foods 2023; 12:foods12071504. [PMID: 37048325 PMCID: PMC10094606 DOI: 10.3390/foods12071504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/23/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023] Open
Abstract
In this paper, a “turn-off” biosensor for detecting copper (II) ions based on Cu2+-dependent DNAzyme and a “blocker” beacon were developed. Upon the copper ion being added, the Cu2+-dependent DNAzyme substrate strand was irreversibly cleaved, thereby blocking the occurrence of the ligation reaction and PCR, which inhibited the G-rich sequence from forming the G-quadruplex structure, efficiently reducing the detection signal. This method had the characteristics of strong specificity and high sensitivity compared with the existing method due to the application of ligation-dependent probe signal recognition and amplification procedures. Under the optimized conditions, this method proved to be highly sensitive. The signal decreased as the concentration of copper ions increased, exhibiting a linear calibration from 0.03125 μM to 0.5 μM and a limit of detection of 18.25 nM. Subsequently, the selectivity of this biosensor was verified to be excellent by testing different relevant metal ions. Furthermore, this detection system of copper (II) ions was successfully applied to monitor Cu2+ contained in actual water samples, which demonstrated the feasibility of the biosensor.
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Affiliation(s)
- Hanyue Zhang
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China
| | - Kai Dong
- College of Biological Sciences, China Agricultural University, Beijing 100083, China
| | - Shuna Xiang
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China
| | - Yingting Lin
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China
| | - Xiaoyan Cha
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China
| | - Ying Shang
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China
| | - Wentao Xu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China
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3
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Xiao B, Niu C, Shang Y, Xu Y, Huang K, Zhang X, Xu W. A 'turn-on' ultra-sensitive multiplex real-time fluorescent quantitative biosensor mediated by a universal primer and probe for the detection of genetically modified organisms. Food Chem 2020; 330:127247. [PMID: 32535319 DOI: 10.1016/j.foodchem.2020.127247] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 05/11/2020] [Accepted: 06/02/2020] [Indexed: 02/01/2023]
Abstract
Among the existing multiplex genetically modified organism (GMO) detection methods, significant problems are highlighted, including amplification asymmetry of different targets, and the low detection throughput, which limits their capacity to meet the requirements of high-throughput analysis. To mitigate these challenges, a 'turn-on' ultra-sensitive multiplex real-time fluorescent quantitative biosensor is developed. In this system, the multiplex ligation-dependent amplification (MLPA), universal primer and universal probe are innovatively combined, which can enhanced the amplification specificity, overcome asymmetric amplification and guarantee the homogeneity of amplification efficiency simultaneously. Furthermore, both single and multiplex detection results can be output by the fluorescent group labeled on universal TaqMan probes for different targets in real-time. After optimization, the quantitative detection limit was 5 pg. In conclusion, this strategy could serve as an important tool for GMO detection in processed and commercially available products, even in the fields that require reliable and sensitive detection of DNA targets.
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Affiliation(s)
- Bing Xiao
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China
| | - Chenqi Niu
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), Ministry of Agriculture, Beijing 100083, China
| | - Ying Shang
- Yunnan Institute of Food Safety, Kunming University of Science and Technology, Yunnan 650500, China
| | - Yuancong Xu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China
| | - Kunlun Huang
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), Ministry of Agriculture, Beijing 100083, China
| | - Xiujie Zhang
- Department Center of Science and Technology, Ministry of Agriculture and Rural Affairs, Beijing 100122, China
| | - Wentao Xu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), Ministry of Agriculture, Beijing 100083, China.
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4
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Shang Y, Xu Y, Huang K, Luo Y, Xu W. Multiplex pyrosequencing quantitative detection combined with universal primer-multiplex-PCR for genetically modified organisms. Food Chem 2020; 320:126634. [PMID: 32208182 DOI: 10.1016/j.foodchem.2020.126634] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 02/27/2020] [Accepted: 03/16/2020] [Indexed: 10/24/2022]
Abstract
A multiplex pyrosequencing quantitative detection technique combined with universal primer-multiplex-PCR (UP-M-PCR) was established. In this study, a pyrosequencing results analysis software was first self-compiled, which realized the DNA sequences degeneration, and converted the pyrosequencing results and base composition of the target sequences into mathematic relations. Five calculation models were put forward based on the actual situation, which adjusted the values smaller than zero or the detection limit. By applying this method, samples containing five genetically modified (GM) lines mixed in random ratio were quantified, it showed that the quantification was very close to the actual value, and the detection sensitivity was as low as 1.47% of a single component, which satisfied most labeling policies. This novel method is realized without fluorescent group labeling, hence the number of targets is not limited by factors inherent in method or equipment, and is proven to be a reliable tool for the quantitative detection.
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Affiliation(s)
- Ying Shang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China; Faulty of Agriculture and Food, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
| | - Yuancong Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Kunlun Huang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China; The Supervision, Inspection and Testing Center of Genetically Modified Organisms, Ministry of Agriculture, Beijing 100083, China
| | - Yunbo Luo
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China; The Supervision, Inspection and Testing Center of Genetically Modified Organisms, Ministry of Agriculture, Beijing 100083, China
| | - Wentao Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China; The Supervision, Inspection and Testing Center of Genetically Modified Organisms, Ministry of Agriculture, Beijing 100083, China.
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5
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Cheng N, Wang Q, Shang Y, Xu Y, Huang K, Yang Z, Pan D, Xu W, Luo Y. Rapid and low-cost strategy for detecting genome-editing induced deletion: A single-copy case. Anal Chim Acta 2018; 1019:111-118. [DOI: 10.1016/j.aca.2018.02.060] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2017] [Revised: 02/12/2018] [Accepted: 02/19/2018] [Indexed: 12/27/2022]
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6
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Niu C, Xu Y, Zhang C, Zhu P, Huang K, Luo Y, Xu W. Ultrasensitive Single Fluorescence-Labeled Probe-Mediated Single Universal Primer-Multiplex-Droplet Digital Polymerase Chain Reaction for High-Throughput Genetically Modified Organism Screening. Anal Chem 2018; 90:5586-5593. [PMID: 29652133 DOI: 10.1021/acs.analchem.7b03974] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
As genetically modified (GM) technology develops and genetically modified organisms (GMOs) become more available, GMOs face increasing regulations and pressure to adhere to strict labeling guidelines. A singleplex detection method cannot perform the high-throughput analysis necessary for optimal GMO detection. Combining the advantages of multiplex detection and droplet digital polymerase chain reaction (ddPCR), a single universal primer-multiplex-ddPCR (SUP-M-ddPCR) strategy was proposed for accurate broad-spectrum screening and quantification. The SUP increases efficiency of the primers in PCR and plays an important role in establishing a high-throughput, multiplex detection method. Emerging ddPCR technology has been used for accurate quantification of nucleic acid molecules without a standard curve. Using maize as a reference point, four heterologous sequences ( 35S, NOS, NPTII, and PAT) were selected to evaluate the feasibility and applicability of this strategy. Surprisingly, these four genes cover more than 93% of the transgenic maize lines and serve as preliminary screening sequences. All screening probes were labeled with FAM fluorescence, which allows the signals from the samples with GMO content and those without to be easily differentiated. This fiveplex screening method is a new development in GMO screening. Utilizing an optimal amplification assay, the specificity, limit of detection (LOD), and limit of quantitation (LOQ) were validated. The LOD and LOQ of this GMO screening method were 0.1% and 0.01%, respectively, with a relative standard deviation (RSD) < 25%. This method could serve as an important tool for the detection of GM maize from different processed, commercially available products. Further, this screening method could be applied to other fields that require reliable and sensitive detection of DNA targets.
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Affiliation(s)
- Chenqi Niu
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China
| | - Yuancong Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Laboratory of Food Safety, College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China
| | - Chao Zhang
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China
| | - Pengyu Zhu
- The Institute of Plant Quarantine , Chinese Academy of Inspection and Quarantine , Beijing 100029 , China
| | - Kunlun Huang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Laboratory of Food Safety, College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) , Ministry of Agriculture , Beijing 100083 , China
| | - Yunbo Luo
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) , Ministry of Agriculture , Beijing 100083 , China
| | - Wentao Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Laboratory of Food Safety, College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) , Ministry of Agriculture , Beijing 100083 , China
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7
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Xu Y, Wei Y, Cheng N, Huang K, Wang W, Zhang L, Xu W, Luo Y. Nucleic Acid Biosensor Synthesis of an All-in-One Universal Blocking Linker Recombinase Polymerase Amplification with a Peptide Nucleic Acid-Based Lateral Flow Device for Ultrasensitive Detection of Food Pathogens. Anal Chem 2017; 90:708-715. [PMID: 29202232 DOI: 10.1021/acs.analchem.7b01912] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
In this study, a whole-course nucleic-acid-constructed biosensor that combines the all-in-one concepts of the universal blocking linker recombinase polymerase amplification (UBLRPA) and a peptide nucleic acid (PNA)-based lateral flow device (PLFD) has been developed for the ultrasensitive detection of food pathogens. Using the preamplification UBLRPA principle, a universal linker and C3 space blocker were utilized to produce the universal linker single-duplex DNA products. The developed amplification system was employed to convert duplex products to a single strand. In the signal recognition strategy, a special PNA probe was successfully employed in the portable PLFD. The UBLRPA products were identified visually using the PLFD through dual hybridization (a PNA probe on the gold nanoparticle (Au-NP) was combined with a universal linker on the end of the products; a PNA capture probe was used on the test line and a universal linker on the other end of the products). The accumulation of Au-NPs produced a characteristic red band, enabling the visual detection of a food pathogen without further testing. To demonstrate the value of the all-in-one biosensor, Salmonella enterica subsp. enterica serovar typhimurium was used as a model organism. The biosensor showed high selectivity and extraordinary repeatability using S. typhimurium, and the limit of detection was 4 CFU mL-1. Furthermore, when milk samples artificially contaminated with S. typhimurium were analyzed, the analysis was completed within 30 min without complicated instrumentation. The results exhibited good precision and recovery. This portable all-in-one biosensor demonstrates great promise for the screening of pathogens in food and environmental samples.
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Affiliation(s)
- Yuancong Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University , Beijing, 100083, China
| | - Yujun Wei
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University , Beijing 100083, China
| | - Nan Cheng
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University , Beijing, 100083, China
| | - Kunlun Huang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University , Beijing, 100083, China.,Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University , Beijing 100083, China.,Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), Ministry of Agriculture , Beijing, 100083, China
| | - Weiran Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University , Beijing, 100083, China
| | - Li Zhang
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University , Beijing 100083, China
| | - Wentao Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University , Beijing, 100083, China.,Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University , Beijing 100083, China.,Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), Ministry of Agriculture , Beijing, 100083, China
| | - Yunbo Luo
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University , Beijing, 100083, China.,Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University , Beijing 100083, China.,Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), Ministry of Agriculture , Beijing, 100083, China
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8
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Lian DS, Zeng HS. Capillary Electrophoresis Based on Nucleic Acid Detection as Used in Food Analysis. Compr Rev Food Sci Food Saf 2017; 16:1281-1295. [DOI: 10.1111/1541-4337.12297] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 07/14/2017] [Accepted: 07/19/2017] [Indexed: 12/21/2022]
Affiliation(s)
- Dong-Sheng Lian
- Guangzhou Women and Children's Medical Center of Guangzhou Medical University; NO. 9 at Jinsui Rd., Tianhe District Guangzhou Guangdong China
| | - Hua-Song Zeng
- Guangzhou Women and Children's Medical Center of Guangzhou Medical University; NO. 9 at Jinsui Rd., Tianhe District Guangzhou Guangdong China
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9
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Wang C, Cheng N, Zhu L, Xu Y, Huang K, Zhu P, Zhu S, Fu W, Xu W. Colorimetric biosensor based on a DNAzyme primer and its application in logic gate operations for DNA screening. Anal Chim Acta 2017; 987:111-117. [DOI: 10.1016/j.aca.2017.08.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 07/07/2017] [Accepted: 08/03/2017] [Indexed: 10/19/2022]
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10
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Shang Y, Xu W, Wang Y, Xu Y, Huang K. Novel multiplex qualitative detection using universal primer-multiplex-PCR combined with pyrosequencing. Food Chem 2017; 237:773-778. [PMID: 28764066 DOI: 10.1016/j.foodchem.2017.05.068] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2015] [Revised: 05/04/2017] [Accepted: 05/14/2017] [Indexed: 11/19/2022]
Abstract
This study described a novel multiplex qualitative detection method using pyrosequencing. Based on the principle of the universal primer-multiplex-PCR, only one sequencing primer was employed to realize the detection of the multiple targets. Samples containing three genetically modified (GM) crops in different proportions were used to validate the method. The dNTP dispensing order was designed based on the product sequences. Only 12 rounds (ATCTGATCGACT) of dNTPs addition and, often, as few as three rounds (CAT) under ideal conditions, were required to detect the GM events qualitatively, and sensitivity was as low as 1% of a mixture. However, when considering a mixture, calculating signal values allowed the proportion of each GM to be estimated. Based on these results, we concluded that our novel method not only realized detection but also allowed semi-quantitative detection of individual events.
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Affiliation(s)
- Ying Shang
- Yunnan Institute of Food Safety, Kunming University of Science and Technology, Kunming, Yunnan 650500, China; Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Wentao Xu
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; The Supervision, Inspection and Testing Center of Genetically Modified Organisms, Ministry of Agriculture, Beijing 100083, China
| | - Yong Wang
- Tianjing Institute of Agricultural Quality Standard and Testing Technology, Tianjing Academy of Agricultural Sciences, Tianjin, 300192, China
| | - Yuancong Xu
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Kunlun Huang
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; The Supervision, Inspection and Testing Center of Genetically Modified Organisms, Ministry of Agriculture, Beijing 100083, China.
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11
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Lian DS, Zhao SJ. Capillary electrophoresis based on nucleic acid detection for diagnosing human infectious disease. Clin Chem Lab Med 2017; 54:707-38. [PMID: 26352354 DOI: 10.1515/cclm-2015-0096] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 06/17/2015] [Indexed: 01/22/2023]
Abstract
Rapid transmission, high morbidity, and mortality are the features of human infectious diseases caused by microorganisms, such as bacteria, fungi, and viruses. These diseases may lead within a short period of time to great personal and property losses, especially in regions where sanitation is poor. Thus, rapid diagnoses are vital for the prevention and therapeutic intervention of human infectious diseases. Several conventional methods are often used to diagnose infectious diseases, e.g. methods based on cultures or morphology, or biochemical tests based on metabonomics. Although traditional methods are considered gold standards and are used most frequently, they are laborious, time consuming, and tedious and cannot meet the demand for rapid diagnoses. Disease diagnosis using capillary electrophoresis methods has the advantages of high efficiency, high throughput, and high speed, and coupled with the different nucleic acid detection strategies overcomes the drawbacks of traditional identification methods, precluding many types of false positive and negative results. Therefore, this review focuses on the application of capillary electrophoresis based on nucleic detection to the diagnosis of human infectious diseases, and offers an introduction to the limitations, advantages, and future developments of this approach.
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12
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Fu W, Zhu P, Wei S, Zhixin D, Wang C, Wu X, Li F, Zhu S. Multiplex enrichment quantitative PCR (ME-qPCR): a high-throughput, highly sensitive detection method for GMO identification. Anal Bioanal Chem 2017; 409:2655-2664. [PMID: 28154881 DOI: 10.1007/s00216-017-0209-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Revised: 01/06/2017] [Accepted: 01/13/2017] [Indexed: 11/29/2022]
Abstract
Among all of the high-throughput detection methods, PCR-based methodologies are regarded as the most cost-efficient and feasible methodologies compared with the next-generation sequencing or ChIP-based methods. However, the PCR-based methods can only achieve multiplex detection up to 15-plex due to limitations imposed by the multiplex primer interactions. The detection throughput cannot meet the demands of high-throughput detection, such as SNP or gene expression analysis. Therefore, in our study, we have developed a new high-throughput PCR-based detection method, multiplex enrichment quantitative PCR (ME-qPCR), which is a combination of qPCR and nested PCR. The GMO content detection results in our study showed that ME-qPCR could achieve high-throughput detection up to 26-plex. Compared to the original qPCR, the Ct values of ME-qPCR were lower for the same group, which showed that ME-qPCR sensitivity is higher than the original qPCR. The absolute limit of detection for ME-qPCR could achieve levels as low as a single copy of the plant genome. Moreover, the specificity results showed that no cross-amplification occurred for irrelevant GMO events. After evaluation of all of the parameters, a practical evaluation was performed with different foods. The more stable amplification results, compared to qPCR, showed that ME-qPCR was suitable for GMO detection in foods. In conclusion, ME-qPCR achieved sensitive, high-throughput GMO detection in complex substrates, such as crops or food samples. In the future, ME-qPCR-based GMO content identification may positively impact SNP analysis or multiplex gene expression of food or agricultural samples. Graphical abstract For the first-step amplification, four primers (A, B, C, and D) have been added into the reaction volume. In this manner, four kinds of amplicons have been generated. All of these four amplicons could be regarded as the target of second-step PCR. For the second-step amplification, three parallels have been taken for the final evaluation. After the second evaluation, the final amplification curves and melting curves have been achieved.
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Affiliation(s)
- Wei Fu
- The Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Ronghuananlu No.11, Beijing Economic-Technological Developmental Area, Beijing, 100176, China
| | - Pengyu Zhu
- The Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Ronghuananlu No.11, Beijing Economic-Technological Developmental Area, Beijing, 100176, China
| | - Shuang Wei
- Shantou Entry-Exit Inspection and Quarantine Bureau, Building, No.126, Jinsha Road, Shantou, Guangdong, 515041, China
| | - Du Zhixin
- Guangxi Entry-Exit Inspection and Quarantine Bureau, No.38, Binhu Road, Qingxiu District, Nanning, Guangxi, 530028, China
| | - Chenguang Wang
- The Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Ronghuananlu No.11, Beijing Economic-Technological Developmental Area, Beijing, 100176, China
| | - Xiyang Wu
- Department of Food Science and Engineering, Jinan University, Guangzhou, Guangdong, 510632, China
| | - Feiwu Li
- Institute of Agricultural Standard and Testing Technology, Jilin Academy of Agricultural Sciences, No. 1363 Shengtai St., Changchun, Jilin, 130033, China.
| | - Shuifang Zhu
- The Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Ronghuananlu No.11, Beijing Economic-Technological Developmental Area, Beijing, 100176, China.
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Cheng N, Zhu P, Xu Y, Huang K, Luo Y, Yang Z, Xu W. High-sensitivity assay for Hg (II) and Ag (I) ion detection: A new class of droplet digital PCR logic gates for an intelligent DNA calculator. Biosens Bioelectron 2016; 84:1-6. [DOI: 10.1016/j.bios.2016.04.084] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Revised: 04/13/2016] [Accepted: 04/26/2016] [Indexed: 12/21/2022]
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14
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Zhu P, Fu W, Wang C, Du Z, Huang K, Zhu S, Xu W. Development and application of absolute quantitative detection by duplex chamber-based digital PCR of genetically modified maize events without pretreatment steps. Anal Chim Acta 2016; 916:60-6. [DOI: 10.1016/j.aca.2016.02.020] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2016] [Accepted: 02/17/2016] [Indexed: 12/21/2022]
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15
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Zhu P, Wang C, Huang K, Luo Y, Xu W. A Novel Pretreatment-Free Duplex Chamber Digital PCR Detection System for the Absolute Quantitation of GMO Samples. Int J Mol Sci 2016; 17:402. [PMID: 26999129 PMCID: PMC4813257 DOI: 10.3390/ijms17030402] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Revised: 03/13/2016] [Accepted: 03/14/2016] [Indexed: 12/03/2022] Open
Abstract
Digital polymerase chain reaction (PCR) has developed rapidly since it was first reported in the 1990s. However, pretreatments are often required during preparation for digital PCR, which can increase operation error. The single-plex amplification of both the target and reference genes may cause uncertainties due to the different reaction volumes and the matrix effect. In the current study, a quantitative detection system based on the pretreatment-free duplex chamber digital PCR was developed. The dynamic range, limit of quantitation (LOQ), sensitivity and specificity were evaluated taking the GA21 event as the experimental object. Moreover, to determine the factors that may influence the stability of the duplex system, we evaluated whether the pretreatments, the primary and secondary structures of the probes and the SNP effect influence the detection. The results showed that the LOQ was 0.5% and the sensitivity was 0.1%. We also found that genome digestion and single nucleotide polymorphism (SNP) sites affect the detection results, whereas the unspecific hybridization within different probes had little side effect. This indicated that the detection system was suited for both chamber-based and droplet-based digital PCR. In conclusion, we have provided a simple and flexible way of achieving absolute quantitation for genetically modified organism (GMO) genome samples using commercial digital PCR detection systems.
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Affiliation(s)
- Pengyu Zhu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
| | - Chenguang Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
| | - Kunlun Huang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
| | - Yunbo Luo
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
| | - Wentao Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
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