The research used bacterial biosensors containing bacterial luciferase genes to monitor changes in the environment in real-time. In this work to express four different gene constructs: recA:luxCDABE, soxS:luxCDABE, micF:luxCDABE, and rpoB:luxCDABE in Escherichia coli SM lux biosensor after exposure to three different antibiotics (nalidixic acid, ampicillin, kanamycin) and diclofenac was determined. It was found that incubation of the E. coli SM strain in various concentrations of analytes results in differentiation in gene expression at each of the tested concentrations (from 0.625 to 10 µg/mL) and during all three measurements, in “time 0”, after 30 min. and after 1 h. The measurable signal is created as a result of the action of reporter genes (bacterial luciferase genes luxCDABE), present in genetically modified bacterial cells. E. coli luminescent bioreporters in the stationary phase were used. In the analysis of the induction of the promoter (regulatory proteins) to the control (0 µg/ml), the highest biosensor response was shown in the case of kanamycin concentration equal to 0.625 µg/mL after 1-h incubation. The highest increase express gene construct was found for micF:luxCDABE in E. coli SM343 lux biosensor, where the micF promoter induction relative to the control at a concentration of 0.625 µg/mL is 73.9%.
Publication date: 15 January 2025Source: Chemical Engineering Journal, Volume 504Author(s): Gagan Bahadur Pradhan, Kumar Shrestha, Md. Assaduzzaman, Sagar Sapkota, SeungJae Lim, Md Selim Reza, Jae Yeong Park
Due to their inherent advantages, optical fiber sensors (OFSs) can substantially contribute to the monitoring and performance enhancement of energy infrastructure. However, optical fiber sensor systems often are standalone solutions and do not connect to the main energy infrastructure control systems. In this paper, we propose a solution for the digitalization of an optical fiber sensor system realized by the Open Platform Communications Unified Architecture (OPC UA) protocol and the Internet of Things (IoT) platform Insights Hub. The optical fiber sensor system is based on bidirectional incoherent optical frequency domain reflectometry (biOFDR) and is used for the interrogation of fiber Bragg grating (FBG) arrays. To allow for an automated sensor identification and thus measurement procedure, an optical sensor identification marker based on a unique combination of fiber Bragg gratings (FBGs) is established. To demonstrate the abilities of the digitalized sensor network, a field test was performed in a power plant test facility of Siemens Energy. Temperature measurements of a packaged FBG sensor fiber were performed with a portable demonstrator, illustrating the system’s robustness and the comprehensive data processing stream from sensor value formation to the cloud. The realized network services promote sensor data quality, fusion, and modeling, expanding opportunities using digital twin technology.
Frequent glucose monitoring is essential for effective diabetes management. Currently, glucose monitoring is done using invasive methods such as finger-pricking and subcutaneous sensing. However, these methods can cause discomfort, heighten the risk of infection, and some sensing devices need freque …
Infrared Sensor Market Size & Trends The global infrared sensor market size was estimated at USD 711.4 million in 2023 and is expected to grow at a CAGR
This paper unveils an innovative wireless piezoresistive sensor designed to operate autonomously without batteries, addressing the critical challenge …
NXP's Trimension SR250 integrates UWB radar and ranging, enhancing autonomous systems and IoT with improved performance and efficiency, while offering comprehensive support for easier deployment.The post Innovative IoT Solutions: NXP’s Trimension SR250 Combines UWB Radar and Secure Ranging appeared first on EE Times Asia.
The Latest research report on the Wearable Biosensors Market 2024 provides a comprehensive analysis of the current market landscape with forecasts extending to 2031 This study combines qualitative and quantitative insights to highlight significant market developments challenges competitive dynamics and ...
Biological cells have many vital functions in the organism. For example, they produce proteins, carbohydrates and fats. But they are also responsible for detoxifying harmful molecules and transmitting signals and immune defense steps. A so-called redox potential is required to drive these processes. It depends on the ratio of NADPH (nicotinamide adenine dinucleotide phosphate in negatively charged, “reduced” form) to its oxidized form NADP⁺. A team led by plant biotechnologist Prof Markus Schwarzländer from the University of Münster and biochemist […]
Temperature and pressure variations are the key early warnings for the thermal runaway safety monitoring of lithium batteries. Although flexible tempe…
CEA-Leti Device Integrates Light Sensing & Modulation, Bringing Key Scalability, Compactness and Optical-Alignment Advantages First-Report...
Whole-body PET imaging is often hindered by respiratory motion duringacquisition, causing significant degradation in the quality of reconstructedactivity images. An additional challenge in PET/CT imaging arises from therespiratory phase mismatch between CT-based attenuation correction and PETacquisition, leading to attenuation artifacts. To address these issues, wepropose two new, purely data-driven methods for the joint estimation ofactivity, attenuation, and motion in respiratory self-gated TOF PET. Thesemethods enable the reconstruction of a single activity image free from motionand attenuation artifacts. The proposed methods were evaluated using data from the anthropomorphicWilhelm phantom acquired on a Siemens mCT PET/CT system, as well as 3 clinicalFDG PET/CT datasets acquired on a GE DMI PET/CT system. Image quality wasassessed visually to identify motion and attenuation artifacts. Lesion uptakevalues were quantitatively compared across reconstructions without motionmodeling, with motion modeling but static attenuation correction, and with ourproposed methods. For the Wilhelm phantom, the proposed methods delivered image quality closelymatching the reference reconstruction from a static acquisition. Thelesion-to-background contrast for a liver dome lesion improved from 2.0 (nomotion correction) to 5.2 (proposed methods), matching the contrast from thestatic acquisition (5.2). In contrast, motion modeling with static attenuationcorrection yielded a lower contrast of 3.5. In patient datasets, the proposedmethods successfully reduced motion artifacts in lung and liver lesions andmitigated attenuation artifacts, demonstrating superior lesion to backgroundseparation. Our proposed methods enable the reconstruction of a single, high-qualityactivity image that is motion-corrected and free from attenuation artifacts,without the need for external hardware.
Advanced Science, EarlyView.
The global temperature sensor market is set for explosive growth, with projections indicating a surge to $9.66 Billion by 2030. This remarkable expansion,...
Single-photon avalanche diodes (SPADs) are advanced sensors capable ofdetecting individual photons and recording their arrival times with picosecondresolution using time-correlated Single-Photon Counting detection techniques.They are used in various applications, such as LiDAR, and can capturehigh-speed sequences of binary single-photon images, offering great potentialfor reconstructing 3D environments with high motion dynamics. To complementsingle-photon data, they are often paired with conventional passive cameras,which capture high-resolution (HR) intensity images at a lower frame rate.However, 3D reconstruction from SPAD data faces challenges. Aggregatingmultiple binary measurements improves precision and reduces noise but can causemotion blur in dynamic scenes. Additionally, SPAD arrays often have lowerresolution than passive cameras. To address these issues, we propose a novelcomputational imaging algorithm to improve the 3D reconstruction of movingscenes from SPAD data by addressing the motion blur and increasing the nativespatial resolution. We adopt a plug-and-play approach within an optimizationscheme alternating between guided video super-resolution of the 3D scene, andprecise image realignment using optical flow. Experiments on synthetic datashow significantly improved image resolutions across various signal-to-noiseratios and photon levels. We validate our method using real-world SPADmeasurements on three practical situations with dynamic objects. First onfast-moving scenes in laboratory conditions at short range; second very lowresolution imaging of people with a consumer-grade SPAD sensor fromSTMicroelectronics; and finally, HR imaging of people walking outdoors indaylight at a range of 325 meters under eye-safe illumination conditions usinga short-wave infrared SPAD camera. These results demonstrate the robustness andversatility of our approach.
(Bild: Siemens) Entdecken Sie, wie ein Konsortium die Messqualität von Sensoren mit in Glas integrierten Lichtwellenleitern revolutioniert. Erfahren Sie mehr über Anwendungen in Leistungselektronik und Meeresforschung.
Global Wearable Inertial Sensors Market Poised for Significant Growth, Expected to Surpass USD 1 Billion by 2029...
The ST1VAFE3BX is ST’s newest biosensor. It combines and synchronizes biopotential inputs with an ST accelerometer and a machine learning core, thus
NXP's wireless ultra-wideband (UWB) battery management system simplifies the assembly of electric vehicles.
TDK has unveiled its new InvenSense SmartSonic ICU-10201 high-performance ultrasonic Time-of-Flight (ToF) sensor with an embedded processor and extended memory space.
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