Digitized microfluidic platform combined with colorimetric
method and loop-mediated isothermal amplification (LAMP)
technology for on-site visual diagnosis of various diseases
Research Background and Abstract
With the global prevalence of infectious diseases, nucleic acid detection techniques such as
Polymerase Chain Reaction (PCR) and Loop-mediated Isothermal Amplification (LAMP) have
played a crucial role in the rapid diagnosis of various illnesses. Typically, samples need to be
transported through a cold chain to well-equipped hospitals or testing centers for analysis.
The conventional testing process heavily relies on skilled professionals for manual operations,
leading to a time-consuming procedure from sample collection to result generation. This
hinders the ability to meet the demand for rapid on-site diagnostics, especially in resource-
limited areas. Moreover, sample transportation not only adds to the overall cost but may also
result in sample degradation and false-negative outcomes if storage and transportation
conditions are inadequate. Therefore, the development of a fast, simple, and cost-effective
on-site testing platform is of significant importance.
Research Content Overview
Recently, a joint research effort involving Professor Leibo's team from the Beijing Normal University-
Hong Kong Baptist University United International College, Digifluidic, and collaborative partners
from Jinan University and Hong Kong Baptist University has resulted in the development of a visual
detection platform based on Digital Microfluidics (DMF) technology and Loop-mediated Isothermal
Amplification (LAMP) colorimetric reaction. This platform comprises multiple reaction units that can
simultaneously detect multiple target genes in various samples, significantly improving detection
efficiency.
Furthermore, leveraging the powerful droplet manipulation capability of DMF, the platform achieves
automated endpoint detection, thereby avoiding contamination issues caused by manual operations
in traditional endpoint detection methods. The research also enhances the color development of
small reaction droplets (5 μl) by applying high-concentration dry dyes for LAMP colorimetric
detection. This improvement enables the reaction results to be visually interpreted under ambient
light without the need for specific light source conditions.
Fig 1. Schematic of the diagnosis of shrimp diseases by colorimetric DMF-LAMP method. (a) Sample preparation.
(b) On-chip operation and LAMP reaction. (c) The side view of the DMF chip and the block diagram of the control
system. (d) The structure of neutral red and color transition that caused by positive LAMP amplification.
(e) Timeline of the whole process from sample to the result.
The platform was applied for the detection of aquatic diseases and was able to rapidly and
accurately detect three common pathogens in shrimp: Enterocytozoon hepatopenaei (EHP),
Infectious Hypodermal and Hematopoietic Necrosis Virus (IHHNV), and White Spot Syndrome
Virus (WSSV), with a detection limit of 101 copies/μl of DNA. In this study, the team also
evaluated the specificity and real sample detection capability of the DMF-LAMP method.
The specificity experiments demonstrated that the method showed no non-specific amplification
in cross-reaction tests with common pathogens found in water and aquatic products, such as
Escherichia coli, Staphylococcus aureus, Salmonella enterica, Early Mortality Syndrome (EMS),
and Shrimp Hemocyte Iridescent Virus (SHIV). It exhibited good specificity in these tests.
In the real sample detection experiment, 58 shrimp samples were tested using both the DMF-
LAMP method and a commercial qPCR kit. The results showed a high degree of agreement
between the DMF-LAMP method and the commercial qPCR method, with Kappa values ranging
from 0.91 to 1, demonstrating the reliability and accuracy of the DMF-LAMP method in practical
applications.
Overall, the platform's DMF-LAMP method proved to be a reliable, rapid, and accurate tool for
on-site detection of shrimp pathogens, offering potential benefits for the aquaculture industry
and disease control in aquatic organisms.
Fig 2. DMF chip design and fabrication. ITO glass was coated with a hydrophobic surface used as the top plate.
PCB substrate with hydrophobic coating was used as the bottom plate. The bottom plate was loaded with LAMP
reagents and air-dried before chip assembly. The two plates sandwiched a 0.6 mm spacer for droplet transportation
and LAMP reaction.
The team also proposed an RGB-based image processing method, utilizing smartphones to capture
result images under various outdoor lighting conditions. Through RGB analysis, they developed a
straightforward interpretation approach. In the future, this method holds the potential to create a
custom smartphone app, enabling rapid and automated analysis of a large number of results.
Fig 3. RBG-based image processing analysis. (a) LAMP reactions containing NR were performed on a DMF chip
and the images were captured with a smartphone. The ROI was manually selected and the average RGB of the
ROI was measured in ImageJ. (b) A comparison of the average RGB values of negative (n = 120) and positive
reactions (n = 120) based on the images captured under the laboratory LED lighting. (c) The RGB differences
calculated from the negative and positive reactions. (d) The graph plotted the R/G ratios against the B/G ratios
of negative (N-) and positive (P-) results under different lighting conditions. LED: Indoor LED lighting, N-OBL:
Outdoor bright lighting, OML: Outdoor moderate lighting, N-ODL: Outdoor dim lighting.
Title: A digital microfluidic platform coupled with colorimetric loop-mediated isothermal
amplification for on-site visual diagnosis of multiple diseases.
The above-mentioned research was published in the journal "Lab on a Chip" by the Royal Society
of Chemistry in the United Kingdom.
Future Prospects
The DMF-LAMP platform established in this study has a wide range of potential applications in clinical,
biomedical, food safety, and environmental fields. It offers advantages such as low cost, ease of operation,
and high detection efficiency. In the future, there are plans to further integrate sample processing steps,
such as nucleic acid extraction, into the platform to achieve an integrated detection process of "sample
in - result out."
Paper Information
A digital microfluidic platform coupled with colorimetric loopmediated isothermal amplification
for on-site visual diagnosis of multiple diseases
Mei Xie, a,c Tianlan Chen, b Zongwei Cai, c Bo Leia* and Cheng Dong b,d**
https://doi.org/10.1039/D2LC01156E
Author Profile
Mei Xie, Ph.D. Candidate Beijing Normal University - Hong Kong Baptist University United International College The first author of this paper specializes in the application of digital microfluidics technology in the detection of agricultural product quality and food safety. | Bo Lei Professor Beijing Normal University - Hong Kong Baptist University United International College The corresponding author of this paper is currently a professor and doctoral supervisor in the School of Science and Technology,UIC. Director of the Key Laboratory of Agricultural Product Quality and Food Safety in Zhuhai City, Head of the UIC Food Safety Testing Center, and Deputy Director of the Zhuhai City Food Safety Expert Committee. |
Cheng Dong Associate Professor Jinan University The corresponding author of this paper graduated from the State Key Laboratory of Analog and Mixed-Signal VLSI (Very-Large-Scale Integration) at the University of Macau, where they obtained a Ph.D. degree in Electrical and Computer Engineering. Currently, they hold the position of Associate Professor at the School of Intel- ligent Science and Engineering, Jinan University. | Zongwei Cai Professor Hong Kong Baptist University Fellow of the European Academy of Sciences, Distinguished Professor in the Department of Chemistry at Hong Kong Baptist University, doctoral supervisor, and Director of the State Key Laboratory of Environmental and Biological Analysis. | TianLan Chen Doctor Digifluidic Graduated from the State Key Laboratory of Analog and Mixed-Signal VLSI (Very-Large-Scale Integration) at the University of Macau, with a Ph.D. degree in Electrical and Computer Engineering. Founder and General Manager of Digifluidic. |
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