Copper Sulfate-Induced Diphenylamine for Rapid Colorimetric Point-of-Care Detection of Contagious Pathogens Combined with Loop-Mediated Isothermal Amplification

Here, we developed a copper sulfate (CuSO4)-initiated diphenylamine (DPA)-based colorimetric strategy coupled with loop-mediated isothermal amplification (LAMP) for rapid detection of two critical contagious pathogens, SARS-CoV-2 and Enterococcus faecium. To detect the DNA, acid hydrolysis of LAMP amplicons was executed, enabling the development of a blue color. In the LAMP amplicons, the bond between the purines and deoxyribose is extremely labile. It can be broken using 70% sulfuric acid followed by phosphate group elimination, which generates a highly active keto aldehyde group. CuSO4 plays an imperative role inducing DPA to rapidly react with the keto aldehyde group, producing an intense blue color within 5 min. Moreover, low quantities such as 103 copies μL-1 of SARS-CoV-2 RNA and 102 CFU mL-1 of E. faecium were successfully detected, revealing the advantages of the introduced method. To confirm practical applicability, multiplex detection of pathogens was performed using a foldable microdevice comprising reaction and detection zones. Various reactions such as DNA extraction, LAMP, and acid hydrolysis occurred in the reaction zone. Then, colorimetric reagents (DPA, CuSO4, and ethylene glycol) contained in the detection zone were mixed with the keto aldehyde group by simply folding the microdevice, which was heated at 65 °C for 5 min for colorimetric detection. An intense blue color was developed where the target DNA was present. These results indicate that the method proposed in this study is highly suitable for point-of-care applications, especially in resource-limited settings for the rapid detection of harmful pathogens. © 2023 American Chemical Society.

Copper Sulfate-Induced Diphenylamine for Rapid Colorimetric Point-of-Care Detection of Contagious Pathogens Combined with Loop-Mediated Isothermal Amplification

Here, we developed a copper sulfate (CuSO4)-initiated diphenylamine (DPA)-based colorimetric strategy coupled with loop-mediated isothermal amplification (LAMP) for rapid detection of two critical contagious pathogens, SARS-CoV-2 and Enterococcus faecium. To detect the DNA, acid hydrolysis of LAMP amplicons was executed, enabling the development of a blue color. In the LAMP amplicons, the bond between the purines and deoxyribose is extremely labile. It can be broken using 70% sulfuric acid followed by phosphate group elimination, which generates a highly active keto aldehyde group. CuSO4 plays an imperative role inducing DPA to rapidly react with the keto aldehyde group, producing an intense blue color within 5 min. Moreover, low quantities such as 103 copies μL-1 of SARS-CoV-2 RNA and 102 CFU mL-1 of E. faecium were successfully detected, revealing the advantages of the introduced method. To confirm practical applicability, multiplex detection of pathogens was performed using a foldable microdevice comprising reaction and detection zones. Various reactions such as DNA extraction, LAMP, and acid hydrolysis occurred in the reaction zone. Then, colorimetric reagents (DPA, CuSO4, and ethylene glycol) contained in the detection zone were mixed with the keto aldehyde group by simply folding the microdevice, which was heated at 65 °C for 5 min for colorimetric detection. An intense blue color was developed where the target DNA was present. These results indicate that the method proposed in this study is highly suitable for point-of-care applications, especially in resource-limited settings for the rapid detection of harmful pathogens. © 2023 American Chemical Society

Image processing of Sentinel-2MSI data for Lake Water Quality Analysis

In recent decades lake water resources are get deteriorating and declining due to an increase in urbanization and the high effects of anthropogenic activities. Lake is an important ecological asset to the earth system. It is necessary to monitor water resources. Due to the spread of the covid-19 pandemic virus, the global range shutdown was implemented so that all the activities come to hold resulting in recovering nature and its environment from pollution. The on-site monitoring and evaluation of the quality of water resources in the pandemic period are impossible. The satellite remote sensing techniques have been used for the water quality assessment for pre-pandemic and during pandemic periods. The result suggested that there is an up-gradation in the quality of lake water in the lockdown period than the pre pandemic period i.e. 30.60% increase in lake water clarity. The satellite image processing techniques had the potential for the estimation of the lake water quality during these difficult times. © 2022 IEEE.

Comparison and Analysis of Different Thermography Techniques in the Biomedical Applications

Thermography is a technique that involves using a thermal camera to make a thermogram image that depicts the quantity of infrared energy emitted, transmitted, and reflected by an object. Body surface temperature monitoring, which varies when blood flow increases or decreases due to clinical irregularities, has been frequently utilised to diagnose medical problems such as breast cancer, diabetes neuropathy, and peripheral vascular disorders using thermography. Thermography has become a significant tool, particularly for fever screening during infectious disease epidemics such as Ebola and covid-19, due to its non-invasive and non-contact nature. Thermography is a sensory instrument that can be particularly valuable in protecting human health when paired with thermal physiology data. In this review, we analyse and compare several thermography processes and aspects to come up with the optimal methodology for use in the medical field. © The Electrochemical Society

Analysis of Contrast and Correlation between Deep Learning Algorithms for Diagnosis of COVID 19 from Lung Ultrasonography

Although identification of COVID-19 in patients from chest Computed Tomography (CT) scan has been the most prevalent approach, it exposes the patient to X-ray radiations and is not a suitable approach for frequent monitoring. Computer analysis of ultrasound pulmonary images is a relatively modern approach that shows promising ways to diagnose pulmonary states, which is a profitable and safer alternative to CT scan. Deep learning techniques for computerized study of Lung Ultrasound (LUS) images offer promising opportunities for identifying and diagnosing COVID-19. This paper aims to bring up a Convolution Neural Networking (CNN) model, which accurately predicts the condition of COVID-19 via the output produced lung ultrasound. Three models were developed using various parameters and were tested on the same dataset in order to compare each on standard statistical procedures. The best model achieved an accuracy of 94.67%, sensitivity 55% and specificity of 60% on the test data. © The Electrochemical Society

TCT CONNECT-410 Impact of Real-Time Optical Coherence Tomography-Angio Co-Registration (OCT-ACR) on Physician Decision Making During Percutaneous Coronary Intervention: A Multicenter, Prospective Study (iOPTICO study)

Background: The use of optical coherence tomography−angio co-registration (OCT-ACR) in routine clinical practice is evolving with limited reporting of clinical outcomes. We conducted this study to evaluate the impact of OCT-ACR on clinician decision making during percutaneous coronary intervention (PCI). Methods: Patients with clinically significant stenosis of >70% in at least 1 coronary artery were enrolled in the study. The pre- and post-PCI procedural strategies were prospectively assessed after angiography, OCT, and ACR with data analyzed by an independent core lab. We enrolled 500 patients from 9 centers in south Asia. Twenty-eight patients had inadequate imaging, whereas data from 75 patients are yet to be analyzed by core lab due to COVID-19. Results: The interim results included 397 patients with a mean age of 57.8 ± 10.8 years. Pre-procedural OCT resulted in a change in PCI strategy in 76% of lesions including change in stent length (57%), diameter (34%), strategy (10%), and landing zone (57%) (Figure). The use of ACR additionally altered treatment strategy in 23% lesions. Postprocedural OCT demonstrated edge dissections (3%), underexpansion (18%), malapposition (17%), tissue/thrombus prolapse (8%), and incomplete coverage (1%), thereby requiring additional interventions for optimization in 36% lesions. No change in strategy was observed with post-procedural ACR. [Formula presented] Conclusion: This is the first South Asian study reporting outcomes of OCT-ACR−guided PCI in patients with coronary artery disease. The use of OCT resulted in overall pre-procedural change of PCI strategy in 76% lesions compared with angiography. Real-time ACR had an additional significant impact with change in strategy in 23% of lesions. Categories: IMAGING: Imaging: Intravascular