Publications by authors named "Yanbin Chang"
This study proposed a hydroponic system with the capacity to acquire high-resolution mass data for non-destructive evaluation of water circulation in lettuce. The system customizes the watering profile, enables high-frequency weight measurement, and monitors multidimensional environment changes. Key air, water, and light parameters were collected to evaluate the plant response, susceptibility, and adaptability to environmental conditions.
View Article and Find Full Text PDFArticle Synopsis
- This study combines CRISPR/Cas12a technology with Multiply-primed-RCA (MRCA) for improved point-of-care testing (POCT) for tuberculosis, addressing limitations in current diagnostic methods.
- Researchers optimized the method using different DNA ligases and primers, ultimately creating two effective testing methods (T4-MRCA-Cas12a and Taq-MRCA-Cas12a) that can be performed in a single tube.
- The testing methods showed high accuracy and specificity, effectively detecting tuberculosis with no interference from other bacterial DNA, allowing for results to be observed visually.
Article Synopsis
- * By optimizing primer combinations and ratios, the research enhances the amplification efficiency of the newly developed nested Multi-AS-PCR-Cas12a method, achieving high sensitivity and specificity in mutation detection.
- * This innovative technique could be widely applicable for identifying drug-resistant mutations in infectious diseases and cancers, as well as for screening genetic disorders.
Article Synopsis
- Lettuce seed germination is affected by various environmental factors, making it sensitive to changes in conditions.
- Hydrogel has emerged as a promising alternative to soil for seed germination, offering better control over the environment, though challenges like formulation variations and lack of standardization exist.
- The study observed how different environmental conditions influenced germination time and success rates of two lettuce varieties, revealing their varying sensitivities to pH levels, nutrient formulations, light intensity, and hydrogel content.
Accurate estimation of crop yield predictions is of great importance for food security under the impact of climate change. We propose a data-driven crop model that combines the knowledge advantage of process-based modeling and the computational advantage of data-driven modeling. The proposed model tracks the daily biomass accumulation process during the maize growing season and uses daily produced biomass to estimate the final grain yield.
View Article and Find Full Text PDFArticle Synopsis
- The study aimed to develop a fast and precise method for detecting methicillin-resistant Staphylococcus aureus (MRSA) using a CRISPR-Cas12a system combined with various amplification techniques like PCR, LAMP, and RPA.
- The result of the experiment revealed that the -LAMP-Cas12a platforms demonstrated high sensitivity, with limits of detection as low as 1 aM, while achieving 100% specificity and sensitivity on clinical isolates.
- Overall, this innovative detection method took about 80-85 minutes to provide accurate results, making it an effective tool for quick identification of S. aureus and MRSA in clinical settings.
Current single-base mutation detection approaches are time-consuming, labor-intensive, and costly. This highlights the critical need for speedy and accurate technology capable of detecting single-base alterations. Using clustered regularly interspaced short palindromic repeats/associated protein 12a (CRISPR/Cas12a), two fundamental approaches for getting 100% differentiation of single-base mutations have been established, by which fluorescence signals could be detected for variants but not for wild strains.
View Article and Find Full Text PDFThe cigarette beetle, Lasioderma serricorne (Fabricius) (Coleoptera: Anobiidae), is a destructive stored product pest worldwide. Adult cigarette beetles are known to rely on host volatiles and pheromones to locate suitable habitats for oviposition and mating, respectively. However, little is known about the chemosensory mechanisms of these pests.
View Article and Find Full Text PDFPurpose: Carbapenemase-producing (CPE) infection constitutes a public health threat. Timely and efficient diagnosis is of paramount importance for prompt and effective therapy. In order to quickly and comprehensively detect the five major families of carbapenemases ( , , , , and ), colorimetric loop-mediated isothermal amplification (LAMP) was employed.
View Article and Find Full Text PDFObjective: To assess the risk factors associated with infections and in-hospital mortality, antimicrobial susceptibility patterns and carbapenem resistance mechanisms in .
Methods: This retrospective case-control study was conducted to reveal the risk factors associated with () infection and in-hospital mortality in a university tertiary hospital in southwest China, using multivariable logistic-regression analyses. Complete 16S rRNA gene sequencing was used to reconfirm the identity of all isolates.
Background: In this study, we aimed to establish and validate a mathematical diagnosis model to distinguish benign pulmonary nodules (BPNs) from early non-small cell lung cancer (eNSCLC) based on clinical characteristics, radiomics features, and hematological biomarkers.
Methods: Medical records from 81 patients (27 BPNs, 54 eNSCLC) were used to establish a novel mathematical diagnosis model and an additional 61 patients (21 BPNs, 40 eNSCLC) were used to validate this new model. To establish a clinical diagnosis model, a least absolute shrinkage and selection operator (LASSO) regression was applied to select predictors for eNSCLC, then multivariate logistic regression analysis was performed to determine independent predictors of the probability of eNSCLC, and to establish a clinical diagnosis model.