Integrated Detection System Research Articles

B-195 Accelerating Molecular Diagnostics: Development of a novel Rapid, Integrated PCR System for Acute Respiratory Infections Detection

Abstract Background The COVID-19 pandemic and acute respiratory infections have underscored the necessity for high-throughput and timely molecular diagnostics. Existing molecular diagnostic methods are labor-intensive, a challenge particularly evident in large-scale testing. This study aims to streamline the nucleic acid testing process by integrating extraction and detection in PCR testing, thereby optimizing efficiency. Methods We developed 'EXP-160R', an integrated PCR system capable of rapid thermal cycling. This innovation employs advanced temperature control technology to markedly reduce heating, cooling, and annealing-extension times. The PCR reagent-kit (Zybio Inc.) was optimized to complement the instrument's capabilities, aiming for pathogen nucleic acid detection in acute respiratory infections within 25 minutes. The precision of in-tube temperature during rapid amplification was validated by using temperature-sensitive molecular probes in system development stage. Performance evaluation used the WHO International Standard for SARS-CoV-2 RNA to assess sensitivity and detection limits. We also analyzed 500 clinical samples from multiple Chinese hospitals, including 295 COVID-19 positives and 205 negatives, comparing the EXP-160R system's performance with an NMPA-approved PCR kit. Results The innovative system significantly improved PCR cycle times, enabling detection of 16 samples in 22 minutes and a throughput of 2400 tests per day, without compromising sensitivity or specificity. Validation confirmed a detection limit of 200 copies/mL, and the system achieved a 100% detection rate for medium and high viral load samples, with a coefficient of variation (CV) for Ct values ≤ 5%. Clinical trial comparisons with clinical standard diagnostics revealed a sensitivity of 98.05%, specificity of 100%, accuracy of 99.2%, and a Kappa coefficient of 0.984. When compared to the established PCR kit, our system showed comparable efficacy, with a sensitivity of 98.50%, specificity of 98.67%, accuracy of 98.6%, and a Kappa of 0.971. Conclusions The rapid PCR system represents a significant advancement in molecular diagnostics, offering rapid, high-throughput, and accurate detection of SARS-CoV-2. This system is particularly beneficial in urgent testing scenarios, such as airports and fever clinics. It addresses current pandemic needs and sets a new benchmark for future respiratory and infectious disease diagnostics, enhancing both efficiency and user experience.

Reverse iontophoresis sensing electrode for joint detection of pH, NH4+, and lactic acid

With the rapid development of integrated electronic circuit technology, biological fluid-electricity integrated detection systems have gradually become a research hotspot. Researchers have integrated biological fluid electrical detection methods into circuits and developed small, low-power, portable detection devices equipped with sensing electrodes, which can achieve continuous monitoring of human health parameters. In recent years, the integration of reverse iontophoresis technology that can be used to extract body fluids with electrochemical sensors has opened up the possibility of flexible, portable biochemical sensing with excellent detection sensitivity. Herein, we present a method for extracting biofluids based on reverse iontophoresis technology, coupled with electrochemical sensing techniques for the simultaneous detection of various biomarkers in body fluids. The multi-channel sensing electrode was modified layer by layer using nitrogen-doped graphene (N-Gr), ion-selective membrane, or lactate oxidase for rapid and sensitive detection of pH (3–8), ammonium ion (NH4+) (0.1 mM–50 mM), and lactic acid (1 mM–50 mM). Subsequently, an integrated system for electrical stimulation extraction and sensing analysis based on reverse iontophoresis was established and experimentally tested. Experimental results demonstrated that the multi-channel joint detection sensing electrode has excellent sensing linearity, specificity, repeatability, and long-term stability. Finally, a smartphone-based WeChat applet was developed, which can realize parameter setting, function selection, and result display of sensor detection. In this study, reverse iontophoresis technology was used to collect body fluids, and the important biomarkers pH, NH4+, and lactic acid in the body fluids were detected. Overall, this research presents an integrated detection system and a multi-channel sensing scheme for the detection of important biochemical markers in bodily fluids, thereby providing potential value for health monitoring applications.

Integrated Microfluidic-Transistor Sensing System for Multiplexed Detection of Traumatic Brain Injury Biomarkers.

Traumatic brain injury (TBI) is widely recognized as a global public health crisis, affecting millions of people each year, leading to permanent neurologic, emotional, and occupational disability, and highlighting the urgent need for rapid, sensitive, and early assessment. Here, we design a novel and simple lithography-free method for preparing dual-channel graphene-based field-effect transistors (G-FETs) and integrating them with microfluidic channels for simultaneously multiplexed detection of key blood TBI biomarkers: neurofilament light chain (NFL) and glial fibrillary acidic protein (GFAP). The G-FET utilizes an ingenious dual-channel electrode array design, where the source is shared between channels and the drains are independent of each other, which is the key to achieving simultaneous output of dual detection signals. At the same time, the microfluidic chip realizes microscale fluidic control and fast sample response time. This integrated detection system shows excellent sensitivity in biological fluids for the TBI biomarkers with detection limits as low as 55.63 fg/mL for NFL and 144.45 fg/mL for GFAP in phosphate-buffered saline (PBS) buffer, respectively. Finally, the clinical sample analysis shows promising performance for TBI detection, with an area under the curve (AUC) of 0.98 for the two biomarkers. And the combined dual-protein assay is also a good predictor of intracranial injury findings on computed tomography (CT) scans (AUC = 0.907). The integrated microfluidic G-FET device with a dual-signal output strategy has important potential for application in clinical practice, providing more comprehensive information for brain injury assessment.

Fraud Detection in Bank Loans with KYC Verification System

In today's technologically-driven financial landscape, bank loan fraud poses a significant threat to both financial institutions and their customers. While traditional methods of fraud detection have been moderately effective, the increasing sophistication of fraudsters necessitates the implementation of more advanced measures. This research proposes an integrated system for bank loan fraud detection that leverages the robustness of Know Your Customer (KYC) verification. By combining traditional KYC processes with advanced machine learning algorithms, this system seeks to provide a more comprehensive approach to detecting and preventing fraudulent loan applications. Initial results indicate a marked reduction in successful fraud attempts, as well as a decrease in false positives compared to conventional systems. Furthermore, the integrated system offers enhanced customer experience by streamlining the loan application process, reducing verification times, and ensuring greater security of personal data. As financial institutions continue to grapple with the challenges of fraud, this research underscores the importance of integrating traditional verification methods with cutting-edge technological solutions for optimal results

A High‐Sensitive Rubber‐Based Sensor with Integrated Strain and Humidity Responses Enabled by Bionic Gradient Structure

AbstractReal‐time detection of different physiological characteristics is crucial for human physical and mental health. A detection system with multimodal sensing capability, high sensitivity, excellent mechanical properties, and environmental stability is highly desirable, but it is still a great challenge. Inspired by the structural gradient of biological tissues, a multifunctional sensor based on carboxylic styrene butadiene rubber (XSBR) and sodium polyacrylate (PAANa) non‐covalently modified MXenes is prepared in this study, in which the MXenes exhibit a gradient distribution and simultaneously formed an orientation arrangement at the bottom of the matrix through the formation of hydrogen bonding interactions with PAANa. The material shows a considerable stretchability of 244% and strength of 7.67 MPa, high electrical conductivity of 55.40 S m‒1, low percolation threshold of 2.48 wt%, and excellent response to strain (gauge factor of 906.7 within 98% strain) and humidity (relative resistance change of 530% within 11–93% relative humidity). Based on the superior performances of the XSBR/PAANa/MXene composite, an integrated detection system is designed to accurately detect respiration and body movements at various scales. This work provides a new perspective for the development of a novel biomimetic functional material for sensor applications.

An integrated waveform design method for underwater acoustic detection and communication

AbstractIn recent years, the integrated system for underwater detection and communication (ISUDC) has become one of the important research directions. At present, the efficiency of the existing shared signals carrying communication information is low, and the synchronization performance needs to be further improved. So, this paper proposes an integrated waveform design scheme for ISUDC based on the carrier with good detection performance and binary phase shift differential keying (DBPSK). In this scheme, the signal with better underwater detection performance (e.g. Linear Frequency Modulation, LFM) is selected as the carrier, and DBPSK is used as the modulation mode to modulate the communication symbols into the carrier. However, the correlation of the detection signal will be destroyed. Thus, the down‐frequency detection signal (e.g. ngLFM) is superimposed into the signal to form a shared signal (LFM‐DBPSK‐ng, LDN). The detection performance, synchronization performance and communication performance of the shared signal are analyzed by ambiguity function, cross‐correlation and BER, respectively. In addition, according to the proposed scheme, the shared signal HFM‐DBPSK‐ng (HDN) is generated by using HFM as carrier. The comparative simulation experiments are carried out with the existing LFM‐BPSK signals. Experiments show that both LDN and HDN have better performance compared to the other shared signals, which proves the effectiveness of the integrated waveform design scheme for ISUDC proposed in this paper.

Cyber Astra (Cyber Security Threats Detection)

Cyber security is a critical issue in today's interconnected digital environment where organizations face increasing threats. This content demonstrates integrated threat detection system, user-friendly network application designed to enhance the security of the organization. The system includes advanced tools and features such as Dark Web Infiltration Finder, Breach Tracker, Email Leak Finder, Nmap Scanner for IP Address and Network Scanning, SQL Injection Detector, Clickjacking Detector and Specially Designed Search Engine for Penetration Testers Use Google Dork for discovery. Main Features: 1. Dark Web Leak Finder: - Track organizational leaks on the Dark Web. - Provide instant updates on compromised credentials or sensitive information. Track crime tracker: - See crime history on maps and your organization. - Increase protection by identifying potential patterns and trends in cyber threats. It also works as an email leak finder: - Search public and private sites to determine the status of corporate email leaks. -Example has been updated to take steps to prevent tampering of email addresses and unauthorized access. 2. Nmap Scanner: - Fully scan IP addresses and networks to identify vulnerabilities. -it tells us which port is open or closed, and also tells us which service is running on which port. - Use to strengthen and monitor network security. 3. SQL injection detection: - Check URLs for potential SQL injection vulnerabilities. - Provide warnings and recommendations to reduce risks associated with SQL injection attacks. 4. Clickjacking Detector: - detects and blocks clickjacking attempts in web applications. - Improved user interface to check for clickjacking vulnerabilities on the client or user's website. 5.Search engine for Penetration Testers: - Includes advanced Google Dork technology for targeted reconnaissance. - Provide auditors with a useful search engine to identify vulnerabilities.

Collaborative biofluid analysis based multi-channel integrated wearable detection system for the monitoring of wound infection

The infection monitoring of chronic wounds can effectively improve the quality of wound care. However, the widely used single variable intermittent monitoring of wound provides little available information, which leads to inaccurate diagnosis and untimely warnings. In this study, a collaborative biofluid analysis based multi-channel integrated wearable detection system was constructed for the continuous detection of analytes such as pH, uric acid (UA), and C-reactive protein (CRP) in wound exudates with time division multiplexing. Based on the functionally modification with nanomaterials, integrated screen-printed electrodes (iSPE) with three working electrodes were designed for the collaboratively analyzing of wound exudates. Through the development of integrated circuits, the multi-channel wearable detection printed circuit board was constructed. With a self-designed interface, this iSPE was stably connected to the printed circuit board and realized the detection of three targets in the range of pH 3–8, UA concentrations 5–500 μmol/L, and CRP concentrations 1–1000 ng/mL at the same time. Combined with a smartphone, these results were collaborated analyzed and transferred for health management. Therefore, this integrated wearable multi-channel detection system can provide reliable and continuous evaluations for early warning of infection and further treatment of chronic wounds.

A Rapid Integrated Detection Platform for Genes Related to Duck Muscle Tissue Development

In duck breeding, the growth and development of skeletal muscle is an important factor influencing the meat production performance of ducks. Therefore, the determination of Myod and Myf5 gene expression in poultry skeletal muscle tissues can help to understand the muscle development of poultry, improve the production performance and feed conversion rate of animal organism, enhance the rapid protein deposition in animal organism, and obtain high quality and quantity of animal livestock products. In this study, a fluorescent PCR assay system for Myod and Myf5 genes was developed, and a dual integrated rapid detection platform suitable for detecting Myod and Myf5 genes in poultry muscle tissue with a sensitivity of 10 copies/μL was constructed using a set of commercial, fully automated nucleic acid analyzer with integrated detection based on magnetic bead method for nucleic acid extraction and PCR fluorescence detection. For 20 simulated samples, the integrated detection system was consistent with the results of qPCR experiments after conventional laboratory extraction, while the closed cassette-based detection reduced the chance of contamination occurrence, making the results more reliable and accurate, which is ideal for immediate on-site rapid detection.

Bank Loan Fraud Detection with Integrated KYC Verification System

In today's technologically-driven financial landscape, bank loan fraud poses a significant threat to both financial institutions and their customers. While traditional methods of fraud detection have been moderately effective, the increasing sophistication of fraudsters necessitates the implementation of more advanced measures. This research proposes an integrated system for bank loan fraud detection that leverages the robustness of Know Your Customer (KYC) verification. By combining traditional KYC processes with advanced machine learning algorithms, this system seeks to provide a more comprehensive approach to detecting and preventing fraudulent loan applications. Initial results indicate a marked reduction in successful fraud attempts, as well as a decrease in false positives compared to conventional systems. Furthermore, the integrated system offers enhanced customer experience by streamlining the loan application process, reducing verification times, and ensuring greater security of personal data. As financial institutions continue to grapple with the challenges of fraud, this research underscores the importance of integrating traditional verification methods with cutting-edge technological solutions for optimal results

An Intelligent Synthetic Bacterium for Chronological Toxicant Detection, Biodegradation, and Its Subsequent Suicide.

Modules, toolboxes, and synthetic biology systems may be designed to address environmental bioremediation. However, weak and decentralized functional modules require complex control. To address this issue, an integrated system for toxicant detection and biodegradation, and subsequent suicide in chronological order without exogenous inducers is constructed. Salicylic acid, a typical pollutant in industrial wastewater, is selected as an example to demonstrate this design. Biosensors are optimized by regulating the expression of receptors and reporters to get 2-fold sensitivity and 6-fold maximum output. Several stationary phase promoters are compared, and promoter Pfic is chosen to express the degradation enzyme. Two concepts for suicide circuits are developed, with the toxin/antitoxin circuit showing potent lethality. The three modules are coupled in a stepwise manner. Detection and biodegradation, and suicide are sequentially completed with partial attenuation compared to pre-integration, except for biodegradation, being improved by the replacements of ribosome binding site. Finally, a long-term stability test reveals that the engineered strain maintained its function for ten generations. The study provides a novel concept for integrating and controlling functional modules that can accelerate the transition of synthetic biology from conceptual to practical applications.

Diamond based integrated detection system for dosimetric and microdosimetric characterization of radiotherapy ion beams.

Ion beam therapy allows for a substantial sparing of normal tissues and higher biological efficacy. Synthetic single crystal diamond is a very good material to produce high-spatial-resolution and highly radiation hard detectors for both dosimetry and microdosimetry in ion beam therapy. The aim of this work is the design, fabrication and test of an integrated waterproof detector based on synthetic single crystal diamond able to simultaneously perform dosimetric and microdosimetric characterization of clinical ion beams. The active elements of the integrated diamond device, that is, dosimeter and microdosimeter, were both realized in a Schottky diode configuration featured by different area, thickness, and shape by means of photolithography technologies for the selective growth of intrinsic and boron-doped CVD diamond. The cross-section of the sensitive volume of the dosimetric element is 4mm2 and 1μm-thick, while the microdosimetric one has an active cross-sectional area of 100×100μm2 and a thickness of about 6.2μm. The dosimetric and microdosimetric performance of the developed device was assessed at different depths in a water phantom at the MedAustron ion beam therapy facility using a monoenergetic uniformly scanned carbon ion beam of 284.7MeV/u and proton beam of 148.7MeV. The particle flux in the region of the microdosimeter was 6·107 cm2 /s for both irradiation fields. At each depth, dose and dose distributions in lineal energy were measured simultaneously and the dose mean lineal energy values were then calculated. Monte Carlo simulations were also carried out by using the GATE-Geant4 code to evaluate the relative dose, dose averaged linear energy transfer (LETd ), and microdosimetric spectra at various depths in water for the radiation fields used, by considering the contribution from the secondary particles generated in the ion interaction processes as well. Dosimetric and microdosimetric quantities were measured by the developed prototype with relatively low noise (∼2keV/μm). A good agreement between the measured and simulated dose profiles was found, with discrepancies in the peak to plateau ratio of about 3% and 4% for proton and carbon ion beams respectively, showing a negligible LET dependence of the dosimetric element of the device. The microdosimetric spectra were validated with Monte Carlo simulations and a good agreement between the spectra shapes and positions was found. Dose mean lineal energy values were found to be in close agreement with those reported in the literature for clinical ion beams, showing a sharp increase along the Bragg curve, being also consistent with the calculated LETd for all depths within the experimental error of 10%. The experimental indicate that the proposed device can allow enhanced dosimetry in particle therapy centers, where the absorbed dose measurement is implemented by the microdosimetric characterization of the radiation field, thus providing complementary results. In addition, the proposed device allows for the reduction of the experimental uncertainties associated with detector positioning and could facilitate the partial overcoming of some drawbacks related to the low sensitivity of diamond microdosimeters to low LET radiation.

Epitaxial self-assembly of Bimetallic MOF heterostructure for fluorescent and colorimetric detection of tetracyclines

The irrational use of tetracycline antibiotics (TCs) leads to the pollution of environmental resources and finally threatens human health, which makes it urgent to develop a sensor for sensitively and selectively detecting the antibiotics. In this work, a Zn-based metal-organic framework (Zn-MOF) anchored on an amino-functionalized aluminum-based metal-organic framework (NH2-MIL-53(Al)) was constructed as a fluorescence sensor for TCs determination. The abundant –NH2 made NH2-MIL-53(Al) a self-assembly core, which facilitated the formation of MOF-on-MOF heterojunction by amide reaction with the exposed –COOH of Zn-MOF. The single characteristic emission peak of Zn-MOF-on–NH2–MIL-53(Al) at 402 nm could identify TCs by internal filtration effect. Upon introduction of TCs, Zn-MOF-on–NH2–MIL-53 (Al) enhanced the intrinsic fluorescence signal of TCs at 517 nm through the coordination via the metal active center (Zn (II)), forming a ratiometric fluorescent sensor with a reverse response. Zn-MOF-on–NH2–MIL-53(Al) sensor displayed excellent anti-interference capability with a broader linear range (0.1–80 μM), and a lower limit of detection (LOD) of 8.24 nM for tetracycline (TC), 2.77 nM for oxytetracycline (OTC), and 8.85 nM for doxycycline (DC), respectively. By merit of Zn-MOF-on–NH2–MIL-53(Al), a portable smartphone-integrated test hydrogel colorimetric platform was fabricated for visual colorimetric detecting TCs by incorporating the sensor with a smartphone. Additionally, the bimetal-organic framework smartphone sensing platform exhibited satisfactory recovery (95.66–107.65%) and reliability in beef, pork, and chicken. Accordingly, the tactics presented a new strategy for developing an integrated system for environmental pollutant detection.

Procalcitonin detection in human plasma specimens using a fast version of proximity extension assay.

An exciting trend in clinical diagnostics is the development of easy-to-use, minimally invasive assays for screening and prevention of disease at the point of care. Proximity Extension Assay (PEA), an homogeneous, dual-recognition immunoassay, has proven to be sensitive, specific and convenient for detection or quantitation of one or multiple analytes in human plasma. In this paper, the PEA principle was applied to the detection of procalcitonin (PCT), a widely used biomarker for the identification of bacterial infection. A simple, short PEA protocol, with an assay time suitable for point-of-care diagnostics, is presented here as a proof of concept. Pairs of oligonucleotides and monoclonal antibodies were selected to generate tools specifically adapted to the development of an efficient PEA for PCT detection. The assay time was reduced by more than 13-fold compared to published versions of PEA, without significantly affecting assay performance. It was also demonstrated that T4 DNA polymerase could advantageously be replaced by other polymerases having strong 3'>5' exonuclease activity. The sensitivity of this improved assay was determined to be about 0.1 ng/mL of PCT in plasma specimen. The potential use of such an assay in an integrated system for the low-plex detection of biomarkers in human specimen at the point of care was discussed.

A new collimated multichannel modular detection system based on Silicon Drift Detectors

After the manufacture and delivery of a state-of-the-art detection system for the XRF-XAFS beamline of the synchrotron light source SESAME, a new and improved detection system was realized. This new multichannel modular detection system based on Silicon Drift Detectors consists of 8 monolithic multipixel arrays, each comprising 8 SDD cells with a total area of 570 mm2. As the previous one, this 64 channels integrated detection system includes ultra-low-noise front-end electronics, dedicated acquisition system, digital filtering, temperature control and stabilization. With respect to the SESAME version, the new instrument implements a tungsten collimation system yielding a total collimated sensitive area of 500 mm2. Optimized to work in an energy range of 3–30 keV, the system shows an overall energy resolution (sum of its 64 cells) below 180 eV FWHM at the 5.9 Mn Kα line at room temperature. We highlight the system performance and in particular the peak to background ratio, before and after the collimation of the sensors.

Integrated system for rapid enrichment and detection of airborne polycyclic aromatic hydrocarbons

Polycyclic aromatic hydrocarbons (PAHs) are extremely toxic environmental pollutants, which are harmful to the human body. Direct collection and analysis of airborne PAHs is essential for air quality monitoring. Herein, we demonstrated an integrated system for airborne PAHs enrichment and detection. The enrichment cube was composed of channels with threaded structures and curved channels, which had high capture efficiency. Then PAHs-carried particles could be crushed into the detection chip for testing. The whole process took about 25 min (5 min for PAHs enrichment and 20 min for PAHs test). The limit of detection was 3.3 ng/m3, which could meet the needs of daily analysis. It had the advantages of low cost, low reagent consumption, simple operation, semi-automatic operation, high sensitivity, high speed and high throughput compared with conventional techniques, showing the potential for becoming an air pollution monitoring platform.

RNN-based integrated system for real-time sensor fault detection and fault-informed accident diagnosis in nuclear power plant accidents

Sensor faults in nuclear power plant instrumentation have the potential to spread negative effects from wrong signals that can cause an accident misdiagnosis by plant operators. To detect sensor faults and make accurate accident diagnoses, prior studies have developed a supervised learning-based sensor fault detection model and an accident diagnosis model with faulty sensor isolation. Even though the developed neural network models demonstrated satisfactory performance, their diagnosis performance should be reevaluated considering real-time connection. When operating in real-time, the diagnosis model is expected to indiscriminately accept fault data before receiving delayed fault information transferred from the previous fault detection model. The uncertainty of neural networks can also have a significant impact following the sensor fault features. In the present work, a pilot study was conducted to connect two models and observe actual outcomes from a real-time application with an integrated system. While the initial results showed an overall successful diagnosis, some issues were observed. To recover the diagnosis performance degradations, additive logics were applied to minimize the diagnosis failures that were not observed in the previous validations of the separate models. The results of a case study were then analyzed in terms of the real-time diagnosis outputs that plant operators would actually face in an emergency situation.

Research on two-dimensional laser warning integrated detection technology

Laser weapons are playing an increasingly important role in modern warfare. To address the growing laser threat, it is necessary to study high-performance two-dimensional laser warning integrated detection technology to achieve simultaneous measurement of two-dimensional directional angle, wavelength and pulse width of incoming laser. This is of great importance for rapid response to security threats. To this end, the paper investigates a two-dimensional laser warning integrated detection system. The measurement principle of the system is as follows: under the condition that the optical system is known, the incidence angle and wavelength of the incoming laser can be judged by the position of the zero-level and first-level diffraction spots, and the mathematical relationship is theoretically derived, so that the principle of laser pulse width measurement based on time-to-digital conversion can be analyzed. For this purpose, firstly, the pulsed laser detection system was designed, the photoelectric conversion of the pulsed laser signal and the time interval measurement were completed, and the pulse width measurement and control unit were experimentally verified. Secondly, the imaging control system of the surface array detector was designed and the imaging effect was verified, and the spot images of lasers with different central wavelengths incident from different angles were collected and the extracted spot center coordinate data were analyzed. Thirdly, the assembly and testing of the two-dimensional laser warning integrated detection system were completed, and the measured wavelength, azimuth, pitch angle and pulse width multi-parameters were tested, and the measurement results were analyzed. The test results show that the system has an azimuth angle of 95°, a pitch angle of 75°, an angular measurement resolution of ≤ 0.5°, a spectral measurement range of 400–1700 nm, and a minimum measurement pulse width of 5 ns, and the two-dimensional laser warning integrated detection system can meet the practical application requirements.

(Digital Presentation) Biosensors – Researching at the Crossroads of Engineering and the Sciences

It has been a pleasure and honor to know Dr. Landheer for more than three decades and to have collaborated with him. In this invited presentation, I will focus on one aspect of our collaboration – the topic of Biosensors – which was our last research collaboration. In the list of references [1-15], I provide all publications we collaborated on since 1986.Biosensors are increasingly used in environmental applications, especially for water quality monitoring. This is because the availability of safe drinking water is fundamental to our good health. However, as water resources get increasingly stressed, ensuring a safe water supply and effective water treatment becomes increasingly important. In addition, waterborne illnesses are a significant public health problem. At the same time, current monitoring of microbiological contamination of water currently is time-consuming, laboratory based, and frequently compromises the timeliness of health advisory warnings even when contamination is found. Therefore, rapid detection of unsafe water can contribute greatly to mitigating the morbidity and mortality associated with waterborne diseases due to microbiological contaminants. Fortunately, the research community has shown increasing interest in the development of microtechnology-based sensors for the detection and identification of the bio-contaminants. These sensing systems use the same fabrication technology that has enabled the drastic lowering of cost, exponential increase in complexity of electronic chips and widespread availability of computing resources. In this presentation, we will discuss a low-cost, electrical, label-free microfabricated biosensor that we have been developing for pathogen detection related to water quality and also for ubiquitous-healthcare applications. The use of nano-dimensions devices to create futuristic nano-biosensors for both environmental and health applications will be introduced. And we will also describe our ongoing work to create highly integrated and parallel detection systems by integrating the sensor, the processing electronics and the pre-processing stages on the same cheap substrate. Finally, the success of such a low-cost, highly integrated sensing system demands a convergence of expertise from various engineering disciplines, the physical and life sciences as well as public health. References D Landheer et al, “Bioaffinity Sensors Based on MOS Field—Effect Transistors,” in Semiconductor Device-Based Sensors for Gas, Chemical, and Biomedical Applications, Eds. Ren, Pearton, Taylor & Francis Books, Boca Raton, 215-265, 2010.MW Shinwari, et al, Microfabricated Reference Electrodes and their Biosensing Applications, Sensors, Vol. 10(3), pp. 1679-1715, 2010.MW Shinwari, MJ Deen, D Landheer, “Study of the Electrolyte-Insulator-Semiconductor Field-Effect Transistor with Applications in Biosensor Design,” Microelectronics Reliability, Vol. 47(12), pp. 2025-2057, 2007.D Landheer, et al, Calculation of the Response of Field-Effect Transistors to Charged Biological Molecules, IEEE Sensors Journal, Vol. 7, 1233-1242, 2007.WH Jiang, et al, Post-processing of Commercial CMOS Chips for the Fabrication of DNA Bio-FET Sensor Arrays, Proceedings of MRS Symposium - Fall Meeting, 6 pages, 2006.Bioelectronics, Biointerfaces, and Biomedical Applications 2, Eds., D Landheer, R. Bashir, M. Deen, C. Kranz, C. Liu, M. Madou, A. Offenhaeusser, R. Schasfoort, ECS Transactions, Vol. 3, Issue 26, 2006.MJ Deen, et al, Noise Considerations in Field-Effect Biosensors, Journal Applied Physics, Vol. 100, #074703, 8 pages, 2006.MJ Deen, et al, High Sensitivity Detection of Biological Species via the Field-Effect, Proceedings of the IEEE ICCDCS, Playa del Carmen, Mexico, pp. 381-385, 2006.D Landheer, et al, Model for the Field-Effect from Layers of Biological Macromolecules on the Gates of Metal-Oxide-Semiconductor Transistors, Journal Applied Physics, Vol. 98, # 044701, 2005.Silicon Nitride and Silicon Dioxide Thin Insulating Films, Eds., R.E. Sah, MJ Deen, D Landheer, K.B. Sundaram, W.D. Brown, D. Misra, ECS Proceedings PV-03, 636 pages 2003.Silicon Nitride and Silicon Dioxide Thin Insulating Films, Eds., K.B. Sundaram, MJ Deen, D Landheer, W.D. Brown, D. Misra, M.D. Allendorf, R.E. Sah, ECS Proceedings Volume PV 2001-7, 2001.MJ Deen, et al, Low Frequency Noise in Cadmium Selenide Thin-Film Transistors, Applied Physics Letters, Vol. 77(14), pp. 2234-2236, 2000.MJ Deen, et al, Low Frequency Noise in CdSe Thin-Film Transistors, ESSDERC 2000, Cork, Ireland, pp. 592-595, 2000.MJ Deen, et al, NbN Thin Films Reactively Sputtered with a High Field DC Magnetron, Journal of Vacuum Science and Technology A, Vol. 6(4), pp. 2299-2303, 1988.MJ Deen, et al, The Effect of the Deposition Rate on the Properties of DC Magnetron Sputtered NbN Thin Films, Bull Am Phys Soc., Vol. 32(3), p. 646, 1987.

Ppb-level H2S gas sensor based on CuNi-MOFs derivatives for meat freshness detection at low temperature environment

H2S is usually used as one of the landmark gases for meat freshness detection under low temperature storage conditions. In this paper, the NiO-doped CuO composite derived from MOFs was synthesized by a low temperature (−25 ℃) precursor hydrothermal and sintering procedure for H2S detection. The influence of precursor solution temperature and sintering temperature on the structure of MOFs derivatives were discussed by SEM, TEM, and XRD characterization. The hydrothermal method of low-temperature precursor has guiding significance in improving the gas response performance of MOFs/MOFs derivatives. The sensor based on NiO-doped CuO composites derived from MOFs exhibited a ppb-level response to H2S gas. The sensor response is 106 % to 50 ppb H2S. Meanwhile, the sensor has good selectivity, and the response and recovery time are 115 s and 251 s, respectively. The low temperature precursor hydrothermal method directly affected the morphology and structure of MOFs derivatives by regulating the kinetics for MOFs nucleation and crystal growth, obtains more active adsorption sites. In addition, the composite has good sensing performance for H2S at the ambient temperature of 4 ℃ and −18 ℃, which verified the effectiveness for the detection of meat spoilage under a low temperature storage. Furthermore, the sensor based on NiO-doped CuO composites is a good candidate for H2S gas detection in meat freshness evaluation. Finally, an integrated circuit detection system was designed to detect H2S gas at different ambient temperatures. This work provides a new idea for meat freshness detection in a cold storage environment.