Platform For Detection Research Articles

An incremental permeability detection method for yield strength of ferromagnetic materials based on permanent magnet excitation

ABSTRACT In this paper, in order to meet the engineering requirements of mechanical properties detection of materials with low power consumption, a novel incremental permeability detection system based on permanent magnet excitation is proposed to reduce system power consumption. Initially, a new incremental permeability sensor was designed to extract magnetic incremental permeability (MIP) signal. Through finite element simulation, experimental parameters were optimised, and a rational arrangement of double permanent magnets was devised to furnish an optimally strong AC bias field intensity. Subsequently, a practical detection platform was assembled to extract electromagnetic signal features. From the perspective of domain wall displacement, a characteristic value θ was proposed to predict the yield strength, with experimental results yielding a relative error of less than ±10%. These experiments have validated the capability of permanent magnet-type MIP to enable quantitative detection of the yield strength in ferromagnetic materials.

Design and Experimental Research of a Non-Destructive Detection Device for High-Precision Cylindrical Roller Dynamic Unbalance

Due to their small size and light mass, small precision cylindrical rollers present challenges in dynamic unbalance detection, including difficulties in measurement and the risk of surface damage. This paper proposes a non-destructive detection device for assessing the dynamic unbalance of small precision cylindrical rollers. The device utilizes an air flotation support method combined with resonance amplification to indirectly measure the dynamic unbalance. A dynamic model of the air flotation tooling-cylindrical roller vibration system was developed to explore the relationship between the vibration parameters of the air flotation tooling and the dynamic unbalance of the cylindrical roller. Modal analysis and harmonic response analysis were performed, revealing that the amplitude of the vibration system at resonance could be detected using the sensor. Additionally, modal testing was conducted to determine the natural frequency of the system. A non-destructive detection platform was constructed for testing the dynamic unbalance of cylindrical rollers. Microscopic observation of the roller surface before and after testing confirmed that the device successfully performs non-destructive detection of dynamic unbalance.

Cu–N–C single-atom nanozyme as an ultrasensitive sensing platform for α-glucosidase detection

Alpha-glucosidase (α-Glu) is a hydrolase that promotes the rise of glucose in the blood during the digestion process, and it plays a crucial role in regulating glucose levels within a normal range. Herein, we developed an ultrasensitive colorimetric platform by preparing a Cu–N–C single-atom nanozyme (Cu–N–C SAzyme) with a potent oxidase-like effect on accurately detection of α-Glu and efficient screening of its potential inhibitors. This artificial nanoenzyme was able to catalyze the oxidation of colorless 3,3′,5,5′-tetramethylbenzidine (TMB) to blue oxide (oxTMB) without the assistance of H2O2. In addition, with the participation of α-Glu, l-ascorbic acid-2-O-α-d-glucopyranose (AAG) can be catalyzed to produce ascorbic acid (AA), which significantly reduces the oxidation, resulting in a noticeable fading of the blue color. Therefore, we designed a straightforward colorimetric test for α-Glu activity, achieving detection limits as low as 0.09 U/L and a linear response from 0.25 to 8 U/L. Most importantly, this platform has been effectively applied to measure α-Glu in real samples.

Electrochemical sensors for sensitive and selective detection of nitrite based on flexible gold microneedle like nanodendrites modified electrode

In this study, we present a new approach utilizing Au nanodendrites (Au NDs) to modify flexible screen-printed carbon electrodes (FSPCEs), offering an efficient platform for voltammetric sensing of nitrite ions in food samples. The FSPCEs are created with gold leaf-like nanodendrites through a simple, one-step electrochemical deposition process. The direct growth of these Au NDs occurs efficiently on the carbon-paste electrode, eliminating the need for binders or additional reducing agents and organic solvents, owing to the aforementioned matrix. The modified electrodes serve as promising sensing platforms for nitrite detection. The outcomes demonstrated that a significant amount of AuNPs with dendritic morphologies were dispersed throughout the FSPCE.These novel flexible electrodes act as effective electrocatalyst for NO2− oxidation due to their large electrochemical active surface area (ECSA), well-dispersed Au nanostructures, and high electrical conductivity. The optimized sensor exhibits a wide linear response range from 0.02 to 5.8 µM, with 1.0 nM limit of detection, an impressive sensitivity of 52.529 µA µM−1 cm−2 and a quick current response time (< 3 s) towards nitrite ions. Additionally, the suggested sensor demonstrates high selectivity, reproducibility, and stability. Furthermore, the FSPCEs are evaluated for their ability to selectively detect nitrite ions in various food samples such as tap water, drinking water, milk, and fruit juices, comparing the results with standard methods in real sample analysis. The fabricated sensors show promising potential for practical applications in food and environmental analysis. Consequently, Au NDs@FSPCE electrode emerged to be a novel platform for NO2− electrochemical detection. Because of their great affinity for analytical substances in solutions, gold nanodendrites supported on flexible screen-printed carbon electrodes (FSPCEs) are very useful for electrode modifications. Their increased effective surface area, which greatly raises the electrode's sensitivity and specificity for a range of analytical applications, is responsible for their high affinity.

Ultrasensitive and multiplexed Gastric cancer biomarkers detection with an integrated electrochemical immunosensing platform

Developing immunosensing platforms capable of simultaneously detecting multiple cancer markers is crucial for clinical diagnosis and biomedical research. Here, we introduce a novel dual-mode electrochemical biosensing assay platform capable of detecting two gastric cancer biomarkers: pepsinogen I (PG I) and pepsinogen II (PG II). Methylene blue (MB) and Prussian blue (PB) were used as dual signal sources to label PG I and PG II, respectively. The platform integrates an ARM STM32F411 microcontroller and an AD5941 analog front-end, which not only facilitates cyclic voltammetry (CV) and differential pulse voltammetry (DPV) with efficacy comparable to commercial electrochemical workstations but also offers data collection and synchronous analysis capabilities, allowing simultaneous output of PG I and PGR (PG I/PG II) values. Equipped with an interactive screen for operational control and result display, the immunosensing platform provides linear detection ranges for PG I (5 pg/mL–100 ng/mL) and PG II (50 pg/mL–200 ng/mL), enabling rapid detection within 5 min. It demonstrates excellent sensitivity and selectivity when comparing serum samples from healthy individuals and gastric cancer patients. The dual-marker detection platform significantly enhances early diagnosis and screening of gastric cancer, offering substantial improvements over single-marker assays. Furthermore, this platform shows potential for detecting multiple biomarkers in various diseases, highlighting its utility for biomedical applications.

Peptide-Driven Assembly of Magnetic Beads for Potentiometric Sensing of Bacterial Enzyme at a Subcellular Level.

Bacterial enzymes with different subcellular localizations play a critical ecological role in biogeochemical processing. However, precisely quantifying enzymes localized at certain subcellular levels, such as extracellular enzymes, has not yet been fully realized due to the complexity and dynamism of the bacterial outer membrane. Here we present a magneto-controlled potentiometric sensing platform for the specific detection of extracellular enzymatic activity. Alkaline phosphatase (ALP), which is one of the crucial hydrolytic enzymes in the ocean, was selected as the target enzyme. Magnetic beads functionalized with an ALP-responsive self-assembled peptide (GGGGGFFFpYpYEEE, MBs-peptides) prevent negatively charged peptides from entering the bacterial outer membrane, thereby enabling direct potentiometric sensing of extracellular ALP both attached to the bacterial cell surface and released into the surrounding environment. The dephosphorylation-triggered assembly of peptide-coupled magnetic beads can be directly and sensitively measured by using a magneto-controlled sensor. In this study, extracellular ALP activity of Pseudomonas aeruginosa at concentrations ranging from 10 to 1.0 × 105 CFU mL-1 was specifically and sensitively monitored. Moreover, this magneto-controlled potentiometric method enabled a simple and accurate assay of ALP activity across different subcellular localizations.

Microfluidic Detection Platform for Determination of Ractopamine in Food.

A novel microfluidic ractopamine (RAC) detection platform consisting of a microfluidic RAC chip and a smart analysis device is proposed for the determination of RAC concentration in meat samples. This technology utilizes gold nanoparticles (AuNPs) modified with glutamic acid (GLU) and polyethyleneimine (PEI) to measure RAC concentration in food products. When RAC is present, AuNPs aggregate through hydrogen bonding, causing noticeable changes in their optical properties, which are detected using a self-built UV-visible micro-spectrophotometer. Within the range of 5 to 80 ppb, a linear relationship exists between the absorbance ratio (A693nm/A518nm) (Y) and RAC concentration (X), expressed as Y = 0.0054X + 0.4690, with a high coefficient of determination (R2 = 0.9943). This method exhibits a detection limit of 1.0 ppb and achieves results within 3 min. The practical utility of this microfluidic assay is exemplified through the evaluation of RAC concentrations in 50 commercially available meat samples. The variance between concentrations measured using this platform and those determined via liquid chromatography-tandem mass spectrometry (LC-MS/MS) is less than 8.33%. These results underscore the viability of the microfluidic detection platform as a rapid and cost-effective solution for ensuring food safety and regulatory compliance within the livestock industry.

Self-validating photoelectrochemical/photoelectrochromic visual sensing platform for ciprofloxacin precise detection in milk

BackgroundIn the process of food production, ciprofloxacin (CIP), a highly prescribed fluoroquinolone antibiotic, is often excessively used to reduce the risk of bacterial infection. However, this overuse can cause severe harm to human health, including allergic responses, gastrointestinal complications, and potential renal dysfunction. The development of a robust and precise detection method for CIP is crucial, given the interconnection between food security and human health. Compared to the single-mode detection methods currently in use, dual-mode detection provides enhanced accuracy in detecting results due to its inherent self-validation and self-correction capabilities. ResultsHerein, a photoelectrochemical and photoelectrochromic self-validated dual-mode sensing platform was developed to detect CIP in milk by laser etching method, signal generation (SG) region, signal output (SO) region and conductive channel was integrated on the same fluoide-doped tin oxide electrode and Ti3C2/ZnO composite was modified in the electron SG region, and Prussian blue (PB) was electrodeposited in the SO region. By irradiating the SG region, photogenerated electrons are generated and injected into the SO region through the conductive pathway, resulting in the reduction of the PB to Prussian white (PW). Because the binding of CIP to its specifically recognized aptamers hinders electron transfer, a “Signal-Off” response mechanism can be used for simultaneous quantitative detection of CIP using photocurrent or color changes, which presents a great advantage in the detection process. SignificanceBy integrating different detection mechanisms within a single linear range, the constructed dual-mode sensor has a wide detection range and low detection limit in milk samples. Additionally, it shows good selectivity in anti-interference experiments, providing a new idea for the development of visual analysis and detection platforms for food safety.

Duplex-specific-nuclease-assisted graphene field-effect transistor biosensor: A novel platform for preamplification-free detection of cancer related miRNA

The pivotal role of microRNA (miRNA) in cancer diagnosis and monitoring is well recognized, yet current detection methods remain complex and costly, given the rarity of tumor miRNA in the bloodstream. This study proposes a simple and elegant miRNA sensing platform utilizing duplex-specific nuclease (DSN) and ultrasensitive graphene field-effect transistor (GFET) biosensors. The DSN-assisted GFET enables preamplification-free detection of miR-21, a promising cancer biomarker, at dilutions down to 25 aM. Along with the successful validation of its excellent specificity using clinical plasma samples without RNA extraction process, this innovative approach holds great promise for improving cancer diagnostics and monitoring.

Fundamental study on performances of fiber-superconducting composite CORC cable: electromagnetic, thermal, mechanical and quench behaviors

Abstract Common terminal voltage measurement can be hardly applied to detect quenches in long high temperature superconducting (HTS) conductor on round core (CORC) cable because not only the HTS normal zone propagation velocity (NZPV) is low but also immobilizing a large number of voltage leads is inconvenient. Distributed optical fiber sensing (DOFS) technology is a promising method for quench detection of long superconductors. To sense the thermal changes of CORC cables during quenches more directly and prevent optical fibers from damages by external stress, a fiber-superconducting composite (FSC) CORC cable was fabricated. For this cable, three optical fibers were placed in three grooves of the copper core respectively, then three HTS tapes were spirally wound on the copper core in sequence. Comparing to a traditional CORC cable, obviously, the FSC CORC cable structure has been changed. To promote FSC CORC cable engineering applications, it is necessary to study the fundamental performance of the cable. In this paper, we investigated the electromagnetic, thermal and mechanical properties of the FSC CORC cable by comparing those with a common one. The results demonstrated that, compared to the common one, the magnetic distribution of the FSC CORC cable hardly changed, but the current distribution of the copper core in the FSC CORC cable slightly changed which led to decreases of transport AC loss, in addition, the thermal characteristics of the FSC CORC cable was slightly changed and the bending tolerance ability of the cables reduced within a bending diameter range of 15 cm. What’s more, the embedded optical fibers combined with DOFS system are successfully used to detect the temperature changes of the cable surface. Finally, to study the quench behaviors of the cable, we built a quench detection platform, which equips with a voltage acquisition system, a thermocouple temperature acquisition system and the DOFS system. By using the platform to detect the quenches of the FSC CORC cable, minimum quench energy of the cable and NZPV of the tape and cable at different currents was tested.

Development of a CRISPR/Cas12a-facilitated fluorescent aptasensor for sensitive detection of small molecules

The integration of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated proteins (Cas) exhibits superior performance in biosensor construction. And the distinctive role of aptamers in target recognition has long been a focal point of research. Through the combination of Cas12a with cis-cleavage activity and aptamer with specific recognition, a simple and rapid fluorescent biosensor has been constructed. Interestingly, with modified fluorescent and quenching groups at two ends, aptamers play a dual role: primarily as the elements for target recognition and additionally functioning act as the fluorescent probe for signal output. Coupling with cis-cleavage of Cas12a, the demand of additional signal probes is eliminated, thus simplifying the reaction system and enhancing result accuracy. Taking okadaic acid (OA) as a representative small molecule model to evaluate the sensor's performance, a simple and straightforward detection method was established. Following this, the universality of the constructed fluorescent aptasensor was validated by incorporating an adenosine triphosphate (ATP) aptamer. Consequently, the CRISPR/Cas12a-assisted aptasensor was demonstrated to serve as a versatile detection platform for small molecules in food safety and clinical diagnostics. In the forthcoming research endeavors, it can be further extended for applications in environmental analysis and various other fields.

Biosensing strategies using recombinant luminescent proteins and their use for food and environmental analysis.

Progress in synthetic biology and nanotechnology plays at present a major role in the fabrication of sophisticated and miniaturized analytical devices that provide the means to tackle the need for new tools and methods for environmental and food safety. Significant research efforts have led to biosensing experiments experiencing a remarkable growth with the development and application of recombinant luminescent proteins (RLPs) being at the core of this boost. Integrating RLPs into biosensors has resulted in highly versatile detection platforms. These platforms include luminescent enzyme-linked immunosorbent assays (ELISAs), bioluminescence resonance energy transfer (BRET)-based sensors, and genetically encoded luminescent biosensors. Increased signal-to-noise ratios, rapid response times, and the ability to monitor dynamic biological processes in live cells are advantages inherent to the approaches mentioned above. Furthermore, novel fusion proteins and optimized expression systems to improve their stability, brightness, and spectral properties have enhanced the performance and pertinence of luminescent biosensors in diverse fields. This review highlights recent progress in RLP-based biosensing, showcasing their implementation for monitoring different contaminants commonly found in food and environmental samples. Future perspectives and potential challenges in these two areas of interest are also addressed, providing a comprehensive overview of the current state and a forecast of the biosensing strategies using recombinant luminescent proteins to come.

A novel dialdehyde cellulose-based colorimetric and turn-on fluorescent probe for H2S detection and its application in red wine

Hydrogen sulfide (H2S) is considered one of the most important gaseous transmitters in the metabolic system, and the abnormal concentration of H2S is associated with a variety of diseases. Up to now, it is still a challenge to develop a portable assay for H2S even though the research about the detection of H2S is booming. Herein, a novel bifunctional dialdehyde-cellulose fluorescent probe DAC-DPD was prepared with high selectivity and sensitivity to H2S with colorimetric and fluorescent “turn-on” characteristics, and the limit of detection (LOD) of DAC-DPD for H2S was 0.831 μM. The sensing mechanism of DAC-DPD's to H2S was a Michael addition reaction confirmed by HRMS, 1H NMR and density-functional theory (DFT) calculations. DAC-DPD can be used to detect H2S in red wine samples. In Addition, the prepared DAC-DPD embedded fluorescent membrane can be used as a reliable sensing platform for rapid detection of H2S. It provided a convenient and rapid detection material, simplifying the detection process of H2S, which is of great significance for the development of cellulose-based fluorescent smart material.

Applied experimental research on in-situ online monitoring instrument for soil radon in fault zone

As an emerging method for seismic precursory signals in underground fluid, the reliability and stability of in-situ online monitoring devices for soil radon are crucial performance indicators that are directly related to the successful implementation of continuous monitoring of soil radon in seismic areas. This study conducted laboratory testing and field applications of a new in-situ online monitoring instrument for seismic soil radon, utilizing the experimental testing conditions provided by the radon monitoring instrument detection platform of the China Earthquake Administration and the natural experimental site at Xianshuihe Fault Zone in the China Seismic Experimental Site. The results indicate that laboratory measurement repeatability of the instrument is 5.53%, the relative intrinsic error of radon volume response activity is 1.53%, and the response capability of hourly sampling at high radon volume response activity (greater than 1.0 × 105 Bq/m3) lags behind the standard instrument by 2 h, essentially meeting the requirements for seismic observation. Under field conditions, the instruments exhibit good synchronization in response at different depths at the same location. However, further improvements are needed to enhance the consistency of long-term operation in the field, as well as the adaptability to outdoor self-powering, data transmission, and environmental conditions.

Unambiguous Detection of LTR-III G-Quadruplex in the HIV Genome Using a Tailored Fluorogenic Probe-based Assay.

The noncanonical conformations within the genomes of viral pathogens is of significant diagnostic value, due to their unique secondary structures and interactions with specific fluorogenic molecules. In particular, adaptation of the G-quadruplex (GQ) conformation by the specific gene sequence leads to distinct topological features, resulting in unique binding sites that are crucial for the selective recognition of human immunodeficiency virus (HIV) by small molecules. Leveraging the selective fluorescence response of a benzobisthiazole-based fluorogenic probe to the LTR-III GQ target, we developed a GQ-based diagnostic platform for HIV detection. The successful fluorescence recognition of an amplified 176-nucleotide genomic segment harboring the LTR-III GQ, facilitated by pH-controlled GQ-targeted reliable conformational polymorphism (GQ-RCP), validates this method as an effective GQ-topology-targeted diagnostic tool for HIV.

Enhanced plasmonic scattering imaging via deep learning-based super-resolution reconstruction for exosome imaging.

Exosome analysis plays pivotal roles in various physiological and pathological processes. Plasmonic scattering microscopy (PSM) has proven to be an excellent label-free imaging platform for exosome detection. However, accurately detecting images scattered from exosomes remains a challenging task due to noise interference. Herein, we proposed an image processing strategy based on a new blind super-resolution deep learning neural network, named ESRGAN-SE, to improve the resolution of exosome PSI images. This model can obtain super-resolution reconstructed images without increasing experimental complexity. The trained model can directly generate high-resolution plasma scattering images from low-resolution images collected in experiments. The results of experiments involving the detection of light scattered by exosomes showed that the proposed super-resolution detection method has strong generalizability and robustness. Moreover, ESRGAN-SE achieved excellent results of 35.52036, 0.09081, and 8.13176 in terms of three reference-free image quality assessment metrics, respectively. These results show that the proposed network can effectively reduce image information loss, enhance mutual information between pixels, and decrease feature differentiation. And, the single-image SNR evaluation score of 3.93078 also showed that the distinction between the target and the background was significant. The suggested model lays the foundation for a potentially successful approach to imaging analysis. This approach has the potential to greatly improve the accuracy and efficiency of exosome analysis, leading to more accurate cancer diagnosis and potentially improving patient outcomes.

Portable Monitoring System for Assessing Therapeutic Efficacy in HER2‐Overexpressing Breast Cancer: One‐Step Simultaneous Detection of Cancer‐Derived Exosomal Proteins and mRNA in Urine

AbstractPoint‐of‐care (POC) monitoring of patient condition is crucial for effective cancer treatment and prognosis. This can be achieved non‐invasively by analyzing exosomes in body fluids. However, the heterogeneity of exosomes and non‐standardized quantification methods may interfere with clearly determining the patient's condition. Therefore, there is a need for technology that can precisely analyze both tumor‐derived exosomes and normal exosomes. Herein, this study presents the exosome multiple‐separation for simultaneous detection (EXO‐MUSSID) platform, which simultaneously isolates different exosomes based on their magnetization properties and monitors therapeutic efficacy of drugs. Using immunoaffinity magnetophoresis technology, HER2‐overexpressing and normal exosomes are collected separately, enabling real‐time monitoring of HER2 (also known as ERBB2) expression by analyzing the mRNA of each exosome based on a catalytic hairpin assembly (CHA) reaction. A portable fluorescence reader customized for the EXO‐MUSSID platform is developed for POC monitoring of HER2‐overexpressing breast cancer (HER2+ BC). The performance of the EXO‐MUSSID platform is validated using urine samples from HER2+ BC mouse models, confirming the progression of HER2+ BC and the changes in HER2 expression due to trastuzumab treatment. It is expected to serve as a valuable tool for exosome‐based liquid biopsy in disease monitoring.

Development of ultrasensitive genosensor targeting pathogenic Leptospira DNA detection in artificial urine

In the last decades, to access the stages of leptospirosis pathogenicity, site of infection, progression, monitor disease, and after-treatment were required especially non-invasive techniques. This becomes one of the significant goals for researchers. In this study, we developed a highly sensitive DNA-based electrochemical sensor to detect pathogenic leptospires in urine samples using a gold screen-printed electrode. The gold working electrode was electrodeposited with diazonium salt (CMA) with external carboxylic acid from the surface, and the specific Loa22 single-stranded DNA (ssDNA) probe to Leptospira interrogans was immobilized through a carbodiimide chemical reaction. The modified working electrode was characterized by contact angle measurement, cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). After that, targeted DNA testing showed the EIS change in the range of 5 ag mL-1 - 16 fg mL-1 with a correlation R2 of 0.9638. The high sensitivity electrochemical sensor indicated a lower limit of detection to the attomolar level specifically 5 ag mL-1. Additionally, the developed genosensor exhibited high specificity without crossing other bacteria present in urine such as Escherichia coli, Staphylococcus aureus, and S. typhi as well as non-pathogenic leptospires L. biflexa serovar Patoc. Leptospires DNA was analyzed in both buffer solution and diluted artificial urine and detection in diluted artificial urine 1:1,000 was possible despite salt interferences. This study provides a highly sensitive lower detection platform for leptospirosis, offering potential for further development as a portable and point-of-care testing tool.

SrCoNiO3-δ perovskite nanozyme for deep-learning-assisted intelligent detection of dopamine hydrochloride and Cd2+

SrCoO3, SrNiO3, and SrCoNiO3-δ were produced by high-temperature calcination method. Among them, SrCoNiO3-δ trimetallic perovskite exhibited outstanding peroxidase and oxidase activity. Various characterization analyses revealed that the addition of Ni2+ partially replaced Co2+ in the initial perovskite coordination environment, conferring a unique catalytic ability that altered the crystal shape of the original perovskite structure and resulted in a richer electron transfer. This causes the material's surface to exhibit oxygen vacancies (Ovs) and OH radicals, which are the primary source of enzyme activity. Based on the material's excellent enzyme activity, we successfully developed a flexible, intelligent, fast, and instant colorimetry detection platform for the detection of dopamine hydrochloride (DAH) and Cd2+ using a smartphone, assisting in the detection of antibiotic residues in soil and water. The linear ranges of DAH and Cd2+ are 2–20 μM, and their respective detection limits are 0.098 μM and 0.343 μM.

Fill, Fold, Photo: Preconcentration and Multiplex Detection of Trace Level Heavy Metals in Water.

Heavy metal contamination is an increasing global threat to human and environmental health, particularly in resource-limited areas. Traditional platforms for heavy metal detection are labor intensive and expensive and require lab facilities. While paper-based colorimetric sensors offer a simpler approach, their sensitivity limitations prevent them from meeting legislative requirements for many metals. Existing preconcentration systems, on the other hand, can achieve lower detection limits but typically focus on analyzing only one metal, making comprehensive monitoring difficult. We address these limitations by introducing a low-cost preconcentration system coupled with colorimetric analysis for the simultaneous detection of seven metal ions at low ppb levels without the need for external equipment outside a smartphone. The system achieved detection limits of 15 ppb (Ni(II)), 7 ppb (Cu(II)), 2 ppb (Fe(III)), 20 ppb (Cr(VI)), 13 ppb (Pb(II)), 26 ppb (Hg(II)), and 15 ppb (Mn(II)) with six out of seven limits of detection values falling well below EPA regulatory guidelines for drinking water. The user-friendly Fill, Fold, Photo approach eliminates complex pretreatment steps. Smartphone-based detection offers portable quantification within seconds. Employing masking strategies ensured higher selectivity for each assay on the card, while our packaging protocols enable system stability for over 4 weeks of study, facilitating mass production and deployment within a realistic time frame. To validate the sensor's performance in real-world scenarios, the sensor was tested with environmental water samples. The sensor demonstrated good recovery, ranging from 77% to 94% compared to the standard ICP-MS method. Furthermore, spike recovery analysis confirmed the sensor's accuracy, with a relative standard deviation (RSD) of less than 15%. This technology holds significant promise for future development as a convenient, portable solution for field-based monitoring of a broad spectrum of water contaminants, including pesticides, PFAS, fertilizers, and beyond.