MS2 device: smartphone-facilitated mobile nucleic acid analysis on microfluidic device

Advances in Simple, Rapid, and Contamination-Free Instantaneous Nucleic Acid Devices for Pathogen Detection

Pathogenic pathogens invade the human body through various pathways, causing damage to host cells, tissues, and their functions, ultimately leading to the development of diseases and posing a threat to human health. The rapid and accurate detection of pathogenic pathogens in humans is crucial and pressing. Nucleic acid detection offers advantages such as higher sensitivity, accuracy, and specificity compared to antibody and antigen detection methods. However, conventional nucleic acid testing is time-consuming, labor-intensive, and requires sophisticated equipment and specialized medical personnel. Therefore, this review focuses on advanced nucleic acid testing systems that aim to address the issues of testing time, portability, degree of automation, and cross-contamination. These systems include extraction-free rapid nucleic acid testing, fully automated extraction, amplification, and detection, as well as fully enclosed testing and commercial nucleic acid testing equipment. Additionally, the biochemical methods used for extraction, amplification, and detection in nucleic acid testing are briefly described. We hope that this review will inspire further research and the development of more suitable extraction-free reagents and fully automated testing devices for rapid, point-of-care diagnostics.

Mkit: A mobile nucleic acid assay based on a chitosan-modified minimalistic microfluidic chip (CM3-chip) and smartphone

Mobile sensing enabled by MS² technology, which integrates microfluidic and smartphone components, has seen many applications in recent years. In this direction, we developed an MS² platform (an integrated kit) for nucleic acid assay, which included a chitosan-modified minimalistic microfluidic chip (CM³-chip), a smartphone-based fluorescence detector (SF-detector), an APP for imaging and analysis, reagents, and accessories. Once the lysed sample was loaded into the CM³-chip modified by 1% concentration and 200-260 kDa molecular weight of chitosan, the following assay can be completed in approximately 1 h. The Mkit can detect 3 × 10° copies μL^-1 of plasmid DNA and its polymerase chain reaction (PCR) efficiency was 96.8%. The CM³-chip equipped for the Mkit can enrich nucleic acid from the pH = 5 of lysis buffer, instead of using conventional adsorption mediums such as the magnetic beads and silica gel membranes, which could result in unexpected impurity residuals and tedious cleaning operations. In addition, the performance of the Mkit equipped with the pristine chip was demonstrated to perform poorer than that coupled with the CM³-chip in which the enriched nucleic acid can be all used for "in-situ PCR". The universality, selectivity, and user-friendliness of the Mkit were also validated. We finally demonstrated the feasibility of the Mkit for testing artificially prepared infected samples. H5N6 and IAV-infected saliva samples provided the limits of detection of 5 × 10² copies mL^-1 and 3.24 × 10² copies mL^-1 per chamber, respectively. The streamlined assay and compact device should enable the great potential of the Mkit in research and potential diagnostic uses.

Smartphone integrated handheld (SPEED) digital polymerase chain reaction device

We demonstrate a smartphone integrated handheld (SPEED) digital polymerase chain reaction (dPCR) device for point-of-care application. The device has dimensions of ≈100 × 200 × 35 mm³ and a weight of ≈400 g. It can perform 45 PCR cycles in ≈49 min. The device also features integrated, miniaturized modules for thermal cycling, image taking, and wireless data communication. These functions are controlled by self-developed Android-based applications. The only consumable is the developed silicon-based dPCR chip, which has the potential to be recycled. The device's precision and accuracy are comparable with commercial dPCR machines. We have verified the SPEED dPCR prototype's utility in the testing of severe acute respiratory syndrome coronavirus 2, the detection of cancer-associated gene sequences, and the confirmations of Down syndrome diagnoses. Due to its low upfront capital investment, as well as its nominal running cost, we envision that the SPEED dPCR device will help to perform cancer screenings and non-invasive prenatal tests for the general population. It will also aid in the timely identification and monitoring of infectious disease testing, thereby expediting alerts with respect to potential emerging pandemics.

A free customizable tool for easy integration of microfluidics and smartphones

The integration of smartphones and microfluidics is nowadays the best possible route to achieve effective point-of-need testing (PONT), a concept increasingly demanded in the fields of human health, agriculture, food safety, and environmental monitoring. Nevertheless, efforts are still required to integrally seize all the advantages of smartphones, as well as to share the developments in easily adoptable formats. For this purpose, here we present the free platform appuente that was designed for the easy integration of microfluidic chips, smartphones, and the cloud. It includes a mobile app for end users, which provides chip identification and tracking, guidance and control, processing, smart-imaging, result reporting and cloud and Internet of Things (IoT) integration. The platform also includes a web app for PONT developers, to easily customize their mobile apps and manage the data of administered tests. Three application examples were used to validate appuente: a dummy grayscale detector that mimics quantitative colorimetric tests, a root elongation assay for pesticide toxicity assessment, and a lateral flow immunoassay for leptospirosis detection. The platform openly offers fast prototyping of smartphone apps to the wide community of lab-on-a-chip developers, and also serves as a friendly framework for new techniques, IoT integration and further capabilities. Exploiting these advantages will certainly help to enlarge the use of PONT with real-time connectivity in the near future.