Technique For Rapid Detection Research Articles

Novel fluorescent sensor with 2,5-furandicarboxylic acid as the ligand for histamine detection

Using effective and sustainable technologies for food quality evaluation has become imperative due to the growing concerns regarding food safety and security. Fluorescent-based sensing is a rapid monitoring technique for food spoilage detection; however, the technique employs fossil-based compounds for sensor development. Here, a fluorescent sensor for histamine (biogenic amine) as an indicator for the detection of spoilage in the fish matrix was fabricated using 2,5-furandicarboxylic acid (FDCA) as the organic ligand. FDCA is a biobased molecule and serves as a replacement for petroleum-derived terephthalic acid, which is widely used in the synthesis of fluorescent metal-organic frameworks (MOF). Herein we report a MOF that was synthesized using two organic ligands: FDCA and adenine with Fe as the metal center, denoted as Fe-AD-FDCA. The fluorescent sensor was created by covalently bonding methyl red (MR) with an NH2-rich Fe-AD-FDCA framework by post-synthetic modification. When exposed to histamine, the sensor showed a fluorescent emissive response that increased MR emission and produced a distinctly visible color shift from dull pink to blue. By spreading and solidifying MR@Fe-AD-FDCA in the water-phase sodium salt of carboxy methyl cellulose (CMC-Na), portable sensory hydrogels were produced. This fluorescence sensor's ability could be utilized for real-time monitoring of the freshness of raw fish samples.

Chromo-fluorogenic detection of Sarin, Tabun, and mustard gas mimics triggering the ring-opening reaction in a spirolactam-based probe

Nerve agents are becoming serious issues for the healthy and sustainable environment in modern civilization. Strategically, we have designed and introduced a Schiff base triggered dual chromo-fluorogenic probe BASO via condensation reaction between rhodamine B hydrazide and 3-formyl chromone, which can selectively recognize different toxic target analytes helping a reference to a healthy and sustainable environment. The BASO probe displays enhanced pink photoluminescence extraordinarily due to the introduction of sarin, tabun, and mustard gas mimics diethylchlorophosphate (DCP), diethylcyanophosphonate (DCNP), and 2-chloroethyl ethyl sulfide (2CEES), in a 1:1 water–dimethyl sulfoxide (DMSO) mixture while native one was non-fluorescent. The opening of the spirolactam ring owing to the addition of DCP, DCNP, and 2CEES shows a noticeable pink colorimetric and pink color fluorometric change, which is readily detectable by the naked eye in the µM range in neutral medium and found to be better than numerous available chemosensor (Table S1). We have also fabricated simple paper strip-based test kits as portable and displayable handy photonic tools for on-site detection without any expensive instrumental techniques. The probe BASO has also been employed for detecting the vapor phase and soil sample analysis as a practical applicability. The simple, rapid detection techniques make our probe unique and have significant utility for the recognition of DCP, DCNP, and vesicant or blistering agents mimicking 2CEES.

A Rapid Crack Detection Technique Based on Attention for Intelligent M&O of Cross-Sea Bridge

A Rapid Crack Detection Technique Based on Attention for Intelligent M&O of Cross-Sea Bridge

Kiwi-Inspired Rational Nanoarchitecture with Intensified and Discrete Magneto-Fluorescent Functionalities for Ultrasensitive Point-of-Care Immunoassay.

Fluorescent lateral flow immunoassays (FLFIA) is a well-established rapid detection technique for quantitative analysis. However, achieving accurate analysis of biomarkers at the pg mL-1 level using FLFIA still poses challenges. Herein, an ultrasensitive FLFIA platform is reported utilizing a kiwi-type magneto-fluorescent silica nanohybrid (designated as MFS) that serves as both a target-enrichment substrate and an optical signal enhancement label. The spatially-layered architecture comprises a Fe3O4 core, an endocarp-fibers like dendritic mesoporous silica, seed-like quantum dots, and a kiwi-flesh like silica matrix. The MFS demonstrates heightened fluorescence brightness, swift magnetic response, excellent size uniformity, and dispersibility in water. Through liquid-phase capturing and fluorescence-enhanced signal amplification, as well as magnetic-enrichment sample amplification and magnetic-separation noise reduction, the MFS-based FLFIA is successfully applied to the detection of cardiac troponin I that achieved a limit of detection at 8.4 pg mL-1, tens of times lower than those of previously published fluorescent and colorimetric lateral flow immunoassays. This work offers insights into the strategic design of magneto-fluorescent synergetic signal amplification on LFIA platform and underscores their prospects in high-sensitive rapid and on-site diagnosis of biomarkers.

Exploring monkeypox virus proteins and rapid detection techniques.

Monkeypox (mpox) is an infectious disease caused by the mpox virus and can potentially lead to fatal outcomes. It resembles infections caused by viruses from other families, challenging identification. The pathogenesis, transmission, and clinical manifestations of mpox and other Orthopoxvirus species are similar due to their closely related genetic material. This review provides a comprehensive discussion of the roles of various proteins, including extracellular enveloped virus (EEV), intracellular mature virus (IMV), and profilin-like proteins of mpox. It also highlights recent diagnostic techniques based on these proteins to detect this infection rapidly.

Visual lambda-cyhalothrin detection using yellow carbon dots molecularly imprinted polyvinylidene fluoride fluorescent membrane

Due to its common use as an insecticide during agricultural production, residual lambda-cyhalothrin (LC) in food and the environment presents a significant human health risk. Developing an accurate LC detection method that does not require pretreatment remains a challenge. This study developed a novel yellow carbon dots molecularly imprinted (YCDs@MIPs) polyvinylidene fluoride (PVDF) composite (YCDs@MIPs@PVDF) fluorescent membrane for rapid visual LC detection. This method required no pretreatments during analysis since the LC could be specifically adsorbed when the samples passed through the YCDs@MIPs@PVDF membrane, causing fluorescence quenching, while matrix-interfering components could be removed for the porous structure of the membrane. A smartphone was used for rapid visual LC detection based on membrane fluorescence color changes in a dark-box ultraviolet analyzer. In food with a 15 % PVDF content and 6 mL added YCDs@MIPs, LC was quantitatively detected in a broad concentration range (5–500 μg/L) with a limit of detection (LOD) of 0.039 μg/L to 0.16 μg/L, which was lower than the strictest EU2019/92 limit of 10 μg/L. The analysis time was reduced from over 8 h when using the GB 23200.121–2021 and GB/T20769–2008 national standard methods to 30 min, while the analytical procedure decreased from six steps to two. The visual detection strategy combining the YCDs@MIPs@PVDF composite fluorescent membrane with a smartphone provided a new rapid detection technique for composite membrane purification and fluorescence signal output function.

Selection of a new aptamer targeting amoxicillin for utilization in a label-free electrochemical biosensor

Pharmaceutical pollution has received considerable attention because of the harmful effects of pharmaceutical compounds on human health, even in trace amounts. Amoxicillin is one of the frequently used antibiotics that was included in the list of emerging water pollutants. Therefore, a highly selective and rapid technique for amoxicillin detection is required. In this work, a new aptamer was selected for amoxicillin and utilized for the development of a label-free electrochemical aptasensor. Aptamer selection was performed using the systematic evolution of ligands by exponential enrichment. The selected aptamer showed good specificity against other antibiotics, including the structurally related antibiotics: ampicillin and ciprofloxacin. Among the selected aptamers, Amx3 exhibited the lowest dissociation constant value of 112.9 nM. An aptasensor was developed by immobilization of thiolated Amx3 aptamer onto gold screen–printed electrodes via self-assembly, which was characterized using cyclic voltammetry and electrochemical impedance spectroscopy. The detection was realized by monitoring the change in the differential pulse voltammetry peak current in the ferro/ferricyanide redox couple upon binding of the aptasensor to amoxicillin. The aptasensor showed very good sensitivity with an ultralow limit of detection of 0.097 nM. When the aptasensor was tested using actual spiked milk samples, excellent recovery percentages were observed. The label-free electrochemical aptasensor developed herein is a promising tool for the selective and sensitive detection of amoxicillin in environmental samples.

Accurate analysis of coal calorific value using NIRS-XRF: Utilizing RF classification and PLSR subtype modeling

Rapid and precise measurement of the calorific value of coal is crucial for coal chemical enterprises. However, due to the wide variety of coal sources and the diverse types of coal, the matrix effect significantly reduces the accuracy of spectroscopic rapid detection techniques for coal quality. To address this issue, this study conducts research on a coal calorific value detection method based on the combined use of near-infrared spectroscopy (NIRS) and X-ray fluorescence spectroscopy (XRF), exploring the feasibility of identifying coal types first and then predicting calorific value based on corresponding subtype models. In the aspect of spectral preprocessing, fusion of the dual spectra is achieved using techniques such as truncation, smoothing, Standard Normal Variate (SNV), and normalization. For coal type identification, the identification performance of five machine learning algorithms is compared, and the random forest (RF) algorithm is used to improve the identification accuracy to 98.43 %. In terms of prediction modeling, a comparison is made between traditional holistic models based on Partial Least Squares Regression (PLSR) and subtype models built according to coal types, revealing that the latter demonstrating stronger generalization ability and robustness. Accordingly, a precise prediction strategy for coal calorific value based on the combined use of NIRS and XRF in complex coal types is proposed: first, the RF algorithm is used to automatically identify coal types based on the fusion spectrum of NIRS and XRF, and then the calorific value of the corresponding coal type is accurately predicted using the PLSR subtype model selected according to the identification results. Industrial test results indicate that the average absolute error (AAE), root mean square error of prediction (RMSEP), average relative error (ARE), and standard deviation (SD) for coal calorific value prediction are 0.20 MJ/kg, 0.24 MJ/kg, 0.79 %, and 0.04 MJ/kg, respectively, meeting the requirements of enterprises. The research findings provide a practical technical method for timely and accurate acquisition of coal calorific value data, addressing the interference problem of matrix effects in complex coal type scenarios and holding broad application prospects in the coal-based energy industries.

Lithium acetate mediated paper-based assay for absorbance analysis of E. coli concentrations

Paper-based assays have revolutionized POC diagnostics, offering significant values across diverse sectors due to their simplicity, cost-effectiveness, and portability. Detecting E. coli is critical for public health but faces challenges in traditional methods, prompting ongoing exploration of alternative approaches. To address the need for heightened sensitivity, this study introduces lithium acetate as a novel element in a paper-based E. coli detection assay, accompanying absorbance analysis using microplate readers. Utilization of lithium acetate as a lysis reagent and carrying out absorbance measurements in paper microtiter plates provide a significant stride in improving sensitivity and assay efficiency. The assay substantially reduced the analysis time to 4 hours with a lower quantification limit of 103 cfu/ml for detecting E. coli in pure cultures. The results suggest that the assay could determine 10 cfu/ml of E. coli in a contaminated milk sample with 4 hours of enrichment time. Thus, the study contributes towards improving E. coli detection with lower quantification limits and shorter analysis times. It is anticipated that the diagnostic methodology would circumvent the challenges in conventional E. coli detection methods, placing emphasis on absorbance analysis to achieve a streamlined, accurate, and rapid paper-based detection technique.

Research status and rapid detection methods of antibiotic residues in agricultural products

Antibiotics are widely utilized in agriculture for the prevention and treatment of animal diseases. How-ever, the abuse and overuse of antibiotics progressively increase the risks of antibiotic residues and antibiotic resis-tance. The bioaccumulation and biomagnification of antibiotics through food chains will negatively affect ecological safety, and finally threaten human health. There are many shortages of traditional antibiotic detection techniques, such as complex procedures, complicated operation and time consuming, and thus are difficult to meet the demand of instant, efficient and accurate on-site detection. Therefore, it is crucial to develop rapid detection techniques of antibiotics to manage the application of antibiotics in agriculture. We reviewed the utilization, and management of antibiotics in animal husbandry, residual characteristics, and potential hazards of antibiotics in agricultural products, summarized the advancements in rapid detection techniques of antibiotics in agricultural products over the past five years, compared the advantages and disadvantages of different rapid detection techniques, and prospected the future development in this area. This review would provide a valuable reference to the control and point-of-care test of antibiotics in agricultural products.

An instrument-free, integrated micro-platform for rapid and multiplexed detection of dairy adulteration in resource-limited environments

In dairy industry, expensive yak's milk, camel's milk, and other specialty dairy products are often adulterated with low-cost cow's milk, goat's milk and so on. Currently, the detection of specialty dairy products typically requires laboratory settings and relies on skilled operators. Therefore, there is an urgent need to develop a multi-detection technology and on-site rapid detection technique to enhance the efficiency and accuracy of the detection of specialty dairy products. In this study, we introduced a fully integrated and portable microfluidic detection platform called Sector Self-Driving Microfluidics (SDM), designed to simultaneously detect eight common species-specific components in milk. SDM integrated nucleic acid extraction, purification, loop-mediated isothermal amplification (LAMP), and lateral flow strip (LFS) detection functions into a closed microfluidic system, enabling contamination-free visual detection. The SDM platform used a constant-temperature heating plate, powered by a mobile battery, eliminated the need for additional power support. The SDM platform achieved nucleic acid enrichment and transfer through magnetic force and liquid flow driven by capillary forces, operating without external pumps. The standalone SDM platform could detect dairy components with as low as 1% content within 1 h. Validation with 35 commercially available samples demonstrated 100% specificity and accuracy compared to the gold standard real-time PCR. The SDM platform provided the dairy industry with an efficient, convenient, and accurate detection tool, enabling rapid on-site testing at production facilities or sales points. This facilitated real-time monitoring of quality issues during the production process, quickly identifying potential risks and preventing substandard products from entering the market.

Micro-crack localization for steel strands using nonlinear vibro-acoustic modulation based on modified signal bispectrum analysis

Under continuous environmental erosion and long-time high tension, fatigue micro-cracks of bridge cables appear frequently to challenge the reliability of cables. The vibro-acoustic modulation analysis is adopted because of its sensitivity to contact-type defects, especially fatigue cracks. In this paper, using multiple sets of low-frequency vibration and high-frequency ultrasonic excitation, the propagation of the ultrasonic wave in the steel strands is studied. Then, the modulated signal bispectrum is proposed to improve the detection reliability of nonlinear modulation components in the nonlinear vibro-acoustic modulation signal of the contact-type defect. The numerical simulations and laboratory tests of straight wire, helical wire, and multi-wire strands are carried out for micro-crack detection to verify the robustness of the proposed method. Compared with the traditional method, the modulated signal bispectrum can still produce clearer peak detection under high noise conditions. The results show that it provides a promising, dynamic and rapid cable defect detection technique.

A combination of polypeptide and magnetic molecular imprinted electrochemical sensor based on BSA-AuNPs/Fe3O4@ZIF-8 for the detection of norfloxacin

Norfloxacin (NOR) is now extensively used for the treatment of human and animal diseases. Unfortunately, large accumulations of NOR will pose a significant threat to the human body. Thus, it is urgent to develop a rapid and sensitive detection technique for the trace determination of NOR. In this study, an electrochemical molecular imprinting sensor with great properties was fabricated for the determination of NOR in milk and environmental water. The incorporation of bovine serum proteins produced a hybrid recognition interface consisting of molecularly imprinted polymers and peptides that provided good recognition properties for norfloxacin. The Fe3O4@ZIF-8 was distributed orderly on the electrode after the embedding of the magnets inside the electrode, then the BSA was coated on the electrode with the electrodeposited AuNPs through Au-S bonding. The sensor constructed in this study achieved ultra-sensitive detection of norfloxacin with an effective area of 0.08433 cm2, a limit of detection (LOD) of 0.108 pmol·L−1, and a wide linear range (1 ∼ 100, 100 ∼ 1000 and 1000 ∼ 8000 pmol·L−1). The prepared sensors exhibited satisfactory performance in the detection of milk and environmental water, with acceptable recoveries ranging from 96.24 % to 104.88 %, and the relative standard deviation (RSD) was no more than 4.84 %.

Intelligent Rapid Detection Techniques for Low-Content Components in Fruits and Vegetables: A Comprehensive Review.

Fruits and vegetables are an important part of our daily diet and contain low-content components that are crucial for our health. Detecting these components accurately is of paramount significance. However, traditional detection methods face challenges such as complex sample processing, slow detection speed, and the need for highly skilled operators. These limitations fail to meet the growing demand for intelligent and rapid detection of low-content components in fruits and vegetables. In recent years, significant progress has been made in intelligent rapid detection technology, particularly in detecting high-content components in fruits and vegetables. However, the accurate detection of low-content components remains a challenge and has gained considerable attention in current research. This review paper aims to explore and analyze several intelligent rapid detection techniques that have been extensively studied for this purpose. These techniques include near-infrared spectroscopy, Raman spectroscopy, laser-induced breakdown spectroscopy, and terahertz spectroscopy, among others. This paper provides detailed reports and analyses of the application of these methods in detecting low-content components. Furthermore, it offers a prospective exploration of their future development in this field. The goal is to contribute to the enhancement and widespread adoption of technology for detecting low-content components in fruits and vegetables. It is expected that this review will serve as a valuable reference for researchers and practitioners in this area.

Validation and optimization of the loop-mediated isothermal amplification (LAMP) technique for rapid detection of wheat stripe mosaic virus, a wheat-infecting pathogen

BackgroundWheat stripe mosaic virus (WhSMV) is a significant wheat pathogen that causes substantial yield losses in Brazil and other countries. Although several detection methods are available, reliable and efficient tools for on-site WhSMV detection are currently lacking. In this study, a Loop-Mediated Isothermal Amplification (LAMP) method was developed for rapid and reliable field detection of WhSMV. We designed WhSMV-specific primers for the LAMP assay and optimized reaction conditions for increased sensitivity and specificity using infected plant samples. ResultsWe have developed a diagnostic method utilizing the Loop-Mediated Isothermal Amplification (LAMP) technique capable of rapidly and reliably detecting WhSMV. The LAMP assay has been optimized to enhance sensitivity, specificity, and cost-effectiveness. ConclusionThe LAMP assay described here represents a valuable tool for early WhSMV detection, serving to mitigate the adverse economic and social impacts of this viral pathogen. By enabling swift and accurate identification, this assay can significantly improve the sustainability of cereal production systems, safeguarding crop yields against the detrimental effects of WhSMV.

Gold screen-printed electrodes coupled with molecularly imprinted conjugated polymers for ultrasensitive detection of streptomycin in milk

Antibiotic resistance is a global health threat, challenging traditional treatments and complicating the food safety process. This study introduces an electrochemical detection method for streptomycin sulfate, utilizing gold screen-printed electrodes (Au-SPE) functionalized via electropolymerization of a custom-made naphthalene diimide-based conjugated monomer (Th2-NDI-PIA). This modification creates specific binding sites for streptomycin, allowing rapid detection of the antibiotic. The sensor's response to different concentrations of streptomycin was studied via Differential Pulse Voltammetry (DPV) in a wide linear range from 10-13 M to 10-9 M, with a limit of detection (LoD) of 0.190 ± 0.005 pM. The imprinted electrode demonstrates selectivity to other antibiotics, but also to common interferents that can be found in milk such as lactose, glucose, riboflavin, and bisphenol A. Successful proof-of-principle in whole cow milk highlights the sensor's efficacy in detecting antibiotic residues in food samples, offering a promising alternative for a rapid and portable detection technique.

Self-assembled core-shell nanoparticles with embedded internal standards for SERS quantitative detection and identification of nicotine released from snus products.

Surface enhanced Raman spectroscopy (SERS) is a unique analytical technique with excellent performance in terms of sensitivity, non-destructive detection and resolution. However, due to the randomness and poor repeatability of hot spot distribution, SERS quantitative analysis is still challenging. Meanwhile, snus is a type of tobacco product that can release nicotine and other components in the mouth without burning, and the rapid detection technique based on SERS can reliably evaluate the amount of nicotine released from snus, which is of great significance for understanding its characteristics and regulating its components. Herein, the strategy was proposed to solve the feasibility of SERS quantitative detection based on self-assembled core-shell nanoparticles with embedded internal standards (EIS) due to EIS signal can effectively correct SERS signal fluctuations caused by different aggregation states and measurement conditions, thus allowing reliable quantitative SERS analysis of targets with different surface affinity. By means of process control, after the Au nanoparticles (Au NPs) were modified with 4-Mercaptobenzonitrile (4-MBN) as internal standard molecules, Ag shell with a certain thickness was grown on the surface of the AuNP@4-MBN, and then the Au@4-MBN@Ag NPs were used to regulate and control the assembly of liquid-liquid interface. The high-density nano-arrays assembled at the liquid-liquid interface ensure high reproducibility as SERS substrates, and which could be used for SERS detection of nicotine released from snus products. In addition, time-mapping research shows that this method can also be used to dynamically monitor the release of nicotine. Moreover, such destruction-free evaluation of the release of nicotine from snus products opens up new perspectives for further research about the impact of nicotinoids-related health programs.

Novel photoresponsive molecularly imprinted polymers based on etched silicon core with enabling enhanced selectivity and sensitivity for the detection of sulfamethazine

AbstractSulfamethymidine, a commonly employed sulfonamide, is introduced into the human body through the food chain, posing a threat to human health. Consequently, the development of a rapid and efficient detection technique is imperative. In this investigation, a photoresponsive sulfamethyridiazine‐imprinted polymer was synthesized to etch a silicon core, thereby effectively addressing the limitations encountered with conventional molecularly imprinted polymers including diminished binding capacity, restricted site accessibility and sluggish binding kinetics. The photosensitive monomer utilized in the molecularly imprinted polymers is 5[(4 (methylacryloxy) phenyl) diazene] isophthalic acid, which exhibits a stimulating reaction mechanism. The N=N bond undergoes photoisomerization, transitioning between trans and cis configurations. The adsorption experiment provides additional evidence that the hollow molecularly imprinted polymers exhibit a higher adsorption capacity, achieving a value of 0.192 mmol L−1. The experiments conducted to assess selectivity and repeatability confirm that the photoresponsive molecularly imprinted polymers exhibit a high level of selectivity and favorable repeatability. Following four cycles, the adsorption rate remains consistently at 64.3%. Additionally, the recoveries of the actual samples ranged from 95.6% to 99.7%. This finding presents a novel approach to detecting the concentration of trace pollutants in intricate substrates. © 2024 Society of Industrial Chemistry.

Rapid detection of capture and emission processes in surface and buffer traps: Understanding dynamic degradation in GaN power devices

This study utilized a rapid detection technique, Isothermal Capture Transient Spectroscopy (ICTS), to identify and evaluate defects related to GaN device surface and buffer traps, and investigated the mechanisms by which they affect the dynamic performance of GaN based devices. Interface states and dielectric bulk traps were analyzed, unveiling distinctive device behavior under positive gate pulse-biased ICTS. The observed S-shaped threshold voltage (VTH) instability and dynamic gate-drain capacitance (CGD) issues were directly associated with these interface states and bulk traps. Negative gate pulse-biased ICTS revealed the presence of logarithmic electron trapping originating from extended electron traps, and spatial wide distributed hole traps within the GaN buffer layer, significantly impacting the dynamic on-resistance (RON) during off-state stress of the devices. The rapid assessment capabilities of this method provide a valuable tool for optimizing GaN epitaxy and manufacturing processes.

Qualitative Analysis of Adulterant Mixed in Different Food Stuffs

This study focuses on identifying adulterants present in items such as food, fuels, chemicals and cosmetics, known for degrading their overall quality. The escalating concern over food adulteration prompted this research, emphasizing the detection of adulterants in daily consumables. The detrimental effects of food adulteration are profound, leading to health issues such as cancers (colon and peptic ulcer diseases), chronic liver diseases, electrolyte imbalance, kidney failure, heart diseases, blood disorders, and bone marrow abnormalities. The primary objective of this research is to ensure the quality of commonly consumed food items by detecting potential adulterants. Numerous rapid detection techniques have been developed to address this problem, including the implementation of quick and straightforward DART methods (Detect Adulterant Rapid Test). In this study, we applied various DART and DIY methods to test selected food items like milk, turmeric powder, and chilli powder. Each sample underwent testing with specific chemical reagents to determine the presence of adulterants. Post-tests, the samples were analyzed for observable changes, and conclusions were drawn regarding the presence or absence of adulterants in each tested item.