Jinhong Guo

• PhD, Information Engineering
• Professor (Full) at Shanghai Jiao Tong University

High-altitude regions are prone to plateau erythrocytosis due to unique geo-climatic conditions such as low oxygen, high altitude, and low temperatures, with significantly higher incidences of hyperlipidemia and hyperuricemia compared to lowland areas. However, the extreme environmental conditions at high altitudes and the elevated hematocrit level...

In recent years, there has been an increase in the number of cases of acute chest pain, especially those caused by acute myocardial infarction, which poses a significant health risk. Early and accurate diagnosis of acute myocardial infarction is essential to improve patient prognosis. We used the amphiphilic surfactant polyvinylpyrrolidone to encap...

Abnormal fluctuations of inflammatory factors may reflect the immune response and pathological pro-cesses of the body. The real-time monitoring of these indicators is critical for the treatment and prognosis of infectious or autoimmune diseases. Among numerous point-of-care testing methods, lateral flow immunoassay (LFIA) has a high impact due to i...

Droplet microfluidics marks a significant advancement from the traditional continuous flow systems by utilizing two non-mixing liquid phases to generate droplets for further applications. This innovative technology encases samples within droplets, creating isolated compartments that enhance analytical sensitivity. It achieves this enhancement by co...

In medical diagnosis, detecting disease biomarkers at ultra‐low concentrations is vital. Point‐of‐care (POC) diagnostics require rapid detection, live monitoring, high sensitivity, low detection threshold, and cost‐effectiveness. Carbon‐based nanomaterials (CBNs) are promising due to their large surface‐to‐volume ratio, conductivity, biocompatibili...

In recent years, wearable sensor devices with exceptional portability and the ability to continuously monitor physiological signals in real time have played increasingly prominent roles in the fields of disease diagnosis and health management. This transformation has been largely facilitated by materials science and micro/nano-processing technologi...

A comprehensive architecture for an intelligent diabetes monitoring system, covering various components and their technologies is presented. Core aspects are systematically outlined, including advancements in glucose sensors using biofluidics and a comparison of communication standards. Bluetooth Low Energy and Narrowband Internet of Things (IoT) a...

Forest fires can cause tremendous damage to the environment and irreparable loss to individual properties. Using deep learning algorithms on embedded sensing devices to detect smoke and flame for real-time detection of forest fire is essential to minimize the risk to the environment and individual properties. This paper proposes an ultra-lightweigh...

Real-time health monitoring and precision treatment are important in the biomedical field. Researchers have focused on unique gadgets with peculiar functions, which have emerged from the merging of electronic components with biological systems. Because implantable bioelectronics can sense bodily information or elicit bodily reactions in living crea...

The vibrations and noises caused by traffic, machine operation, and construction activity have become a serios concern. Fortunately, the use of elastic metamaterials proposes new methods for reducing those vibration. But there are still issues with rapid and accurate design periodic barrier system based on vibration characteristics. To this end, a...

Nano-doped hollow fiber is currently receiving extensive attention due to its multifunctionality and booming development. However, the microfluidic fabrication of nano-doped hollow fiber in a simple, smooth, stable, continuous, well-controlled manner without system blockage remains challenging. In this study, we employ a microfluidic method to fabr...

As an important part of the human immune system, changes in the number of white blood cells play a significant role in the diagnosis of diseases, the monitoring of treatment effects, and the evaluation of immune system function. Microscopic blood cell detection is the standard procedure for white blood cell classification and counting, but it is ex...

Thermophoresis refers to the directional movement of particles driven by temperature gradients, which is ubiquitous in nature. This phenomenon can be conveniently used to manipulate molecules and objects such as biomolecules, colloids, metal nanoparticles, and cells. Because of these advantages, thermophoresis is widely used in biosensing. In vitro...

The human body is composed of cells, and the electrical properties of cells can reflect the state of cells and thus the physiological health of the human body. Therefore, the study of electrical properties of cells such as impedance, phase and other information is of great significance in biomedical and clinical medicine applications, such as early...

Nanomaterials show great potential for applications in biosensing due to their unique physical, chemical, and biological properties. However, the single-modal signal sensing mechanism greatly limits the development of single-modal nanoprobes and their related sensors. Multi-modal nanoprobes can realize the output of fluorescence, colorimetric, elec...

Obstructive Sleep Apnea (OSA) is a prevalent sleep-related breathing disorder that leads to various health issues such as hypertension, heart disease, diabetes, and stroke. In order to achieve a convenient, robust and accurate OSA detection, we analyze the cardiopulmonary coupling mechanism of OSA from single-lead electrocardiogram (ECG) signals. T...

Recently, surface plasmon resonance (SPR) biosensors have been widely used in environmental monitoring, food contamination detection and diagnosing medical conditions due to their superior sensitivity, label-free detection and rapid analysis speed. This paper briefly elaborates on the development history of SPR technology and introduces SPR signal...

Because the liver is an important metabolic center in the human body, the reliability and timeliness of chronic liver disease diagnosis are particularly important. Alanine aminotransferase and aspartate transaminase are the two most important liver function indicators, and their test results are crucial in the diagnosis of liver diseases. However,...

Wearable biosensors have demonstrated enormous potential in revolutionizing healthcare by providing real-time fitness tracking, enabling remote patient monitoring, and facilitating early detection of health issues. To better sense vital life signals, researchers are increasingly favoring wearable biosensors with flexible properties that can be seam...

In the microscopic world, synthetic micro/nanomotors (MNMs) can convert a variety of energy sources into driving forces to help humans perform a number of complex tasks with greater ease and efficiency. These tiny machines have attracted tremendous attention in the field of drug delivery, minimally invasive surgery, in vivo sampling, and environmen...

Drug abuse is currently a growing concern, with the abuse of narcotic drugs, represented by ketamine (KET), being particularly serious. Chronic use and overdose of such drugs can lead to hallucinations and serious health risks. Therefore, it is essential to establish a fast and high-precision detection method for strict control of drug abuse. In th...

Infectious diseases have seriously threatened human health and caused enormous losses to the global economy. Rapid and accurate diagnosis of pathogens is crucial to the timely treatment of patients, improvement of their prognosis, and containment of disease transmission. The conventional methods for detecting pathogens are usually performed in well...

Detecting diseases at the molecular level aids in early diagnosis and treatment. However, traditional immunological detection techniques, such as enzyme-linked immunosorbent assay (ELISA) and chemiluminescence, have detection sensitivities between 10-16 and 10-12 mol/L, which are inadequate for early diagnosis. Single-molecule immunoassays can reac...

Capacitive biosensors are label-free capacitors that can detect biomarkers with the outstanding advantages of simplicity, low cost, and ultrahigh sensitivity. A typical capacitive biosensor consists of a bioreceptor and a transducer, where the bioreceptor captures the biomarker to form a bioreceptor/biomarker conjugate and the transducer generates...

With the rapid development of clinical pharmacy in China, therapeutic drug monitoring (TDM) has become an essential tool for guiding rational clinical drug use and is widely concerned. TDM is a tool that combines pharmacokinetic and pharmacodynamic knowledge to optimize personalized drug therapy, which can improve treatment outcomes, reduce drug-dr...

Organoids are three-dimensional cell structures cultured in vitro. They are self-organizing and can mimic real organs in structure and function. Bioprinting technology breaks through some limitations of organoid manufacturing, making it more widely used in drug screening, regenerative medicine, and other fields. In this review, we first introduce b...

In recent years, magnetic nanoparticle sensor technologies have attracted considerable interest in the point-of-care-testing (POCT) field, especially in lateral flow immunoassays (LFIAs). Although the visual signal of magnetic nanoparticles is reduced during an inspection, it can be compensated for by magnetic induction, and detection results can b...

Multi-dimensional force sensors have substantially improved the surgical quality of surgical robots. The purpose of this paper is to provide a comprehensive review of the literature on the design and application of multi-dimensional force sensors in various surgical robots. The multi-dimensional force sensor can monitor the interaction force betwee...

The level of creatinine in the human body has clinical implications with regard to a potential association with kidney, muscle, and thyroid dysfunction, hence necessitating fast and accurate detection, especially at the point-of-care (POC) level. This paper presents the design, fabrication, and feasibility of a compact, low-cost and reliable POC ph...

Biopotential signals, like electrocardiography (ECG), electromyography (EMG), and electroencephalography (EEG), can help diagnose cardiological, musculoskeletal and neurological disorders. Dry silver/silver chloride (Ag/AgCl) electrodes are commonly used to obtain these signals. While a conductive hydrogel can be added to Ag/AgCl electrodes to impr...

Electrochemical nucleic acid biosensor has demonstrated great promise in clinical diagnostic tests, mainly because of its flexibility, high efficiency, low cost, and easy integration for analytical applications. Numerous nucleic acid hybridization-based strategies have been developed for the design and construction of novel electrochemical biosenso...

Diabetes and its complications are seriously threatening the health and well-being of hundreds of millions of people. Glucose levels are essential indicators of the health conditions of diabetics. Over the past decade, concerted efforts in various fields have led to significant advances in glucose monitoring technology. In particular, the rapid dev...

Liquid metals based on gallium alloy are of potential use in the development of soft and stretchable electronics due to their intrinsic fluidity and high conductivity. However, it is challenging to build three-dimensional circuits using liquid metals, which limits the complexity and integration of the resulting devices. Here we show that a gallium–...

In point-of-care testing (POCT), tests are performed near patients and results are given rapidly for timely clinical decisions. Immunodiagnostic assays are one of the most important analyses for detecting and quantifying protein-based biomarkers. However, existing POCT immunodiagnostics mainly rely on the lateral flow assay (LFA), which has limited...

Wearable biosensors have attracted considerable attention because of their potential use in real-time monitoring and personalized disease diagnosis. The good deformability and stretchability of flexible electronics enable the elimination of expensive and bulky detection instruments, combination of diagnosis and treatment strategies, modification of...

Cardiac troponin (cTnI) is a biomarker with high sensitivity and specificity for acute myocardial infarction (AMI). Rapid and accurate detection of cTnI can effectively reduce the mortality of AMI. Aiming at the problems of complex operation and low sensitivity of traditional methods used to detect cTnI, an Alphalisa immunoassay enabled centrifugal...

The feasibility of using nanomotors as active probes for lateral flow immunoassay (LFIA) is demonstrated. We synthesized Au@mSiO2@Pt Janus nanomotor, where nanolayer of Pt was deposited on the half side surface of the Au@mSiO2 nanoparticles, which can catalyze the decomposition of H2O2 to produce driving force for the nanomotor. Subsequently, the m...

When traditional infrared spectroscopy technology measures and analyzes the quantitative research of fluid, due to the complex band composition of infrared spectrum, weak absorption intensity and spectral signal, it is easy to be disturbed during measurement and increase the error, making the quantitative analysis of fluid inaccurate and difficult...

Objective Due to the complexity of face images, tongue segmentation is susceptible to interference from uneven tongue texture, lips and face, resulting in traditional methods failing to segment the tongue accurately. To address this problem, RAFF-Net, an automatic tongue region segmentation network based on residual attention network and multiscale...

A hydrogel strain sensor can successfully transform its deformation into resistance changes, offering novel options for the Internet of Things (IoT) and artificial intelligence (AI). However, it remains challenging to prepare hydrogel sensors with superior performance (e.g., high conductivity). Here, we produced a conductive hydrogel (named PPC hyd...

The effective analysis of the basic structure and functional information of bioparticles are of great significance for the early diagnosis of diseases. The synergism between microfluidics and particle manipulation/detection technologies offers enhanced system integration capability and test accuracy for the detection of various bioparticles. Most m...

In recent years, chronic kidney disease (CKD) has received widespread attention as one of the fastest growing non-communicable diseases (NCD) worldwide. Here, a clinical biochemical detection system based on a centrifugal microfluidic chip was designed to simplify the rapid detection of renal function indices. A photosensor was used to design an op...

Objective To explore the technical research and application characteristics of deep learning in tongue-facial diagnosis. Methods Through summarizing the merits and demerits of current image processing techniques used in the traditional medical tongue and face diagnosis, the research status of deep learning in tongue image preprocessing, segmentati...

In recent years, deep learning techniques have been widely applied to network intrusion detection. However, current detection methods suffer from a low detection rate, rendering them useless in fighting unknown attacks. Thus, in this article, we proposed a hybrid detection system based on deep learning techniques. First, to understand comprehensive...

Serum alanine aminotransferase (ALT) is the most sensitive indicator of liver function; therefore, in clinical practice, its detection has diagnostic significance. However, hepatotoxicity monitoring is constrained in resource-limited areas due to the high cost and expensive equipment. This article describes a low-cost, compact blood enzyme analyzer...

Organ-on-a-chip (OOC, organ chip) technology can closely simulate the human microenvironment, synthesize organ-like functional units on a fluidic chip substrate, and simulate the physiology of tissues and organs. It will become an increasingly important platform for in vitro drug development and screening. Most importantly, organ-on-a-chip technolo...

The combination of upconversion nanoparticles (UCNPs) and Lateral Flow Assays (LFAs) is becoming one of the most desirable quantitative assays for point-of-care testing (POCT) due to their excellent chemical and optical properties, which make them commercially viable as fast, sensitive and portable. We propose upconversion nanoparticle-based latera...

Coulter counters are ubiquitous in everyday life; however, with reduced orifice size shrinkage, there is an increased risk of clogging. Herein, a 3D microfluidic printing-based single-use kit is presented for analyzing biological samples and performing accurate Coulter cell count analysis (e.g., white blood cells in the blood). The gem hole elimina...

A smartphone-based photochemical biosensor capable of realizing multiplex detection of glucose, uric acid (UA), and total cholesterol (TC) is reported here for the first time. The system was composed of a photochemical dongle, a cloud-enabled smartphone, and disposable test strips. The dongle was controlled using a microcontroller unit and was desi...

The surface of a centrifugal microfluidic immunoassay system chip such as polymethyl methacrylate (PMMA) is often hydrophobic, which leads to problems such as poor liquid transfer efficiency and easy-to-block siphon channels, leading to bad fluid control. Therefore, surface hydrophilic modification for such chips is necessary to improve the rapidit...

Flow cytometry has proven its capability for rapid and quantitative analysis of individual cells and the separation of targeted biological samples from others. The emerging microfluidics technology makes it possible to develop portable microfluidic diagnostic devices for point-of-care testing (POCT) applications. Microfluidic flow cytometry (MFCM),...

The combination of upconverting nanoparticles (UCNPs) and immunochromatography has become a widely used and promising new detection technique for point-of-care testing (POCT). However, their low luminescence efficiency, non-specific adsorption, and image noise have always limited their progress toward practical applications. Recently, artificial in...

Background and Objective Accurate segmentation of tongue image is a prerequisite to intelligent tongue diagnosis. Current tongue segmentation algorithms have good performances in tongue image segmentation in a standard environment. However, tongue segmentation is still challenging to be used in an open environment due to factors such as the complex...

In oil and gas development operation, for horizontal wells and extended reach wells, monitoring cuttings flow rate is an important method for analyzing wellbore cleanliness. However, due to complex working environment on site, the accuracy of cuttings flow rate monitoring is low. In order to solve this problem, based on the analysis of a cuttings f...

The existing imaging flow cytometers for cell detection usually require special optical microscope systems, high-speed cameras, and precision injection pumps, which are not applicable for point-of-care (POC) diagnostics. Recently, there are some portable cell imaging detection systems proposed, however, most of them just miniaturize the imaging par...

Objective Early recognition and prevention are important to reduce the risk of acute kidney injury (AKI). We aimed to build a novel multivariate time series prediction model for dynamic AKI prediction in general hospitalization. Methods Deidentified electronic data of all patients admitted in Sichuan Provincial Peoples Hospital during 1 January 20...

As the medical community puts forward higher requirements for the speed and convenience of disease diagnosis, point of care testing has become a hot research topic to overcome various kinds of healthcare problems. Blood test is considered to be highly sensitive and accurate in clinical diagnosis. However, conventional plasma separation system tends...

The discovery of electroactive nano-biomaterials and the development of flexible electrodes have increased the interest in applications of integrated electrochemical lateral flow immunoassays (eLFIAs), which integrate electrochemical nanotags and flexible electrodes on test strips that can easily detect small biomolecules. Compared with colorimetri...

Methamphetamine is a powerful stimulant drug, the abuse of which threatens human health and social stability. Rapid and accurate quantification of methamphetamine is essential to inhibit the abuse and prevalence of methamphetamine effectively. In this paper, we present a portable fluorescence reader with upconverting nanoparticle-labeled lateral fl...

A 5G-enabled digital multiple-dimension biohealth data acquisition system prototype integrating an electrochemical dongle, a photochemical dongle and a fluorescence sensor for remote and smart healthcare application is proposed in this paper. The system evolves from the Internet of Medical Things (IoMT) and can automatically collect multiple bioche...

In recent years, gastric cancer has received extensive attention and prevention. To achieve rapid and highly sensitive detection of gastric function index without blood pretreatment, in this study, for the first time, we investigated an intelligent system combining centrifugal microfluidic and Alphalisa immunoassay for early detection of pepsinogen...

In the process of deep oil and gas exploration, it is more and more difficult to identify hydrocarbon gas in the reservoir bed. Conventional methods cannot overcome the difficulties of precision and strong real-time performance, resulting in misjudgments and missed judgments of oil and gas reservoir beds. Infrared spectroscopy detection technology...

Acute myocardial infarction (AMI) has become a worldwide health problem because of its rapid onset and high mortality. Cardiac troponin I (cTnI) is the gold standard for diagnosis of AMI, and its rapid and accurate detection is critical for early diagnosis and management of AMI. Using a lateral flow immunoassay with upconverting nanoparticles as fl...

Cell separation has consistently been a pivotal technology of sample preparation in biomedical research. Compared with conventional bulky cell separation technologies applied in the clinic, cell separation based on microfluidics can accurately manipulate the displacement of liquid or cells at the microscale, which has great potential in point-of-ca...