ACS Measurement Science Au最新文献

{"title":"Improved Microplastic Identification from Simultaneously Collected Photothermal Infrared and Raman Spectra Using Multiview Conformal Prediction","authors":"Rebecca L. Parham,&nbsp;Eduardo Ochoa Rivera,&nbsp;Abbygail M. Ayala,&nbsp;Madeline E. Clough,&nbsp;Yash Patel,&nbsp;Anne J. McNeil,&nbsp;Ambuj Tewari,&nbsp;Andrew P. Ault","doi":"10.1021/acsmeasuresciau.6c00002","DOIUrl":"10.1021/acsmeasuresciau.6c00002","url":null,"abstract":"<p>Microplastics (MPs)have been documented in urban and remote locationsacross the globe. Further identification and quantification of MPsare required to determine how widespread they are in the environment.One of the most popular chemometric methods for identifying microplastics(MPs) is database matching, in which an unknown spectrum is comparedwith reference library spectra by calculating likeness scores. Thresholdminima determine if the score is high enough to consider the referencespectrum as a potential match, yet these thresholds are frequentlyset arbitrarily. There is a growing consensus that MP identificationshould involve multiple measurement techniques, but statisticallyrobust methods to relate multiple database matching scores are lacking.Herein, multiview conformal prediction (MVCP) incorporates two views(i.e., photothermal infrared (PTIR) and Raman spectra) to calculatemultidimensional thresholds for MP identification with statisticalconfidence. The chemical identities returned for an unknown particlehave a statistical assurance that one of the identities is the correctmatch based on a user-defined uncertainty parameter. The average numberof potential matches returned by MVCP was closer to one chemical identity─theideal number of identities returned─when compared to single-viewCP methods that used either the PTIR or Raman spectra. Moreover, MVCPwas less affected than its single-view counterparts when one of thetwo spectra was difficult, or impossible, to identify. To show theutility of MVCP for real-world samples, an ambient particle samplewith MPs deposited on it was used to demonstrate that an MVCP thresholdat 73% theoretical confidence maximized the fraction of MP particlescorrectly identified as plastic (0.80 ± 0.07), while limitingthe fraction of non-MP environmental particles misidentified as plastic(0.10 ± 0.06). This initial application of MVCP to spectroscopydemonstrates the benefits of utilizing multiple spectral methods withdata analysis routines for identifying MPs with statistical confidence.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 3","pages":"690–702"},"PeriodicalIF":14.7,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fully 3D-Printed Analytical Device Based on a Novel Floating Electrode Mechanism for Sweat Rate Acquisition","authors":"Xing Xuan,&nbsp;Daniel Rojas,&nbsp;Silvia Pérez-Piñero,&nbsp;Vicente Ávila-Gandía,&nbsp;Isabel Maria Diaz Lozano,&nbsp;María Cuartero,&nbsp;Gastón A. Crespo","doi":"10.1021/acsmeasuresciau.6c00056","DOIUrl":"10.1021/acsmeasuresciau.6c00056","url":null,"abstract":"<p>We present herein a unique analytical methodology basedon a one-step,three-dimensional printed sensing device for measuring sweat ratenoninvasively, which allows for the assessment of hydration levels.It comprises a multilayered construction, and diverse designs areinvestigated, with the printing components consisting of conductive(CB-PLA) and nonconductive polylactic acid (PLA) printable materials.A prominent aspect is the integration of what is termed here as “floatingelectrodes”, which advantageously modify the overall impedanceof the device during sweat flow measurements. To rationalize the mechanismbehind this, multiple sensor configurations, including two-, four-,six-, eight-, or multilayer structures, were thoroughly examined.Although multilayer configurations demonstrated the potential to enhancethe overall capacity and sensing area, multiplying the number of electrodesin the device effectively resulted in a higher frequency of impedancevariations while providing additional sweat rate data points froma single device. In off-body testing, the optimal system (based onfour electrodes) exhibits a calibration range of 1–10 μLmin^–1 with a total capacity of 37 μL and acorrelation coefficient of <em>r</em> = 0.927 between thesensor and timer-based flow validation. With variations oscillatingbetween 0 and 15% as well as a strong correlation (<em>r</em> = 0.79–0.93) with the cotton patch gravimetric method, on-bodyvalidation utilizing iontophoresis and cycling to generate sweat inthe tested subjects demonstrated strong correlation with standardmethods. Our findings illustrate the potential of the “floatingelectrode” concept for scaling up to larger and higher-capacitysweat sensing devices, as it functions effectively in both single-and double-layer designs. In addition, 3D printing technology willallow for on-demand customization of the corresponding analyticaldevices.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 3","pages":"825–836"},"PeriodicalIF":14.7,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Highly Sensitive and Robust Detection of Human Telomerase Based on Strand-Displacement Cascade Amplification","authors":"Honglan You,&nbsp;Weifeng Ye,&nbsp;Xingye Zheng,&nbsp;Hua Chai,&nbsp;Peng Miao","doi":"10.1021/acsmeasuresciau.6c00090","DOIUrl":"10.1021/acsmeasuresciau.6c00090","url":null,"abstract":"<p>Telomerase is a well-validated diagnostic target forthe earlyscreening of cancers. To address the limitations of existing sensingmethods, we herein fabricate a novel strategy based on the delicateintegration of strand displacement cascade amplification and three-dimensionalDNA nanostructure-assisted signal immobilization. Modified magneticnanocomposites and electrodes provide suitable reaction interfaces,which facilitate a convenient purification process. The fabricatedelectrochemical method not only exhibits good sensitivity, selectivity,and stability but also demonstrates great utility for telomerase inhibitorscreening and tumor cell discrimination. Besides, validation withhuman urine samples confirms the concordance with the clinical diagnosticconclusion. Therefore, this method holds significant potential asa point-of-care testing tool for telomerase-related applications.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 3","pages":"850–856"},"PeriodicalIF":14.7,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Selective Preconcentration and Mass Spectrometry Profiling of Charged Extracellular Modified Ribonucleosides by Borate Complexation and Temperature-Assisted Ionic Liquid Microextraction","authors":"Gabriella M. Floro,&nbsp;Colin P. McCarragher,&nbsp;Yu-Li Shih,&nbsp;Kevin D. Clark","doi":"10.1021/acsmeasuresciau.5c00202","DOIUrl":"10.1021/acsmeasuresciau.5c00202","url":null,"abstract":"<p>Extracellular modifiedribonucleosides have recentlyemerged aspotent cell-to-cell signaling molecules, but their low abundance incomplex biofluids has impeded progress toward understanding the fullcomplement of their functions. A major bottleneck is the lack of samplepreparation techniques that can extract, purify, and preconcentrateextracellular modified nucleosides from biological fluids. Here, weaddress this limitation by developing a borate complexation, temperature-assistedionic liquid microextraction (BTAIL-ME) technique. BTAIL-ME capitalizeson the formation of boronate esters with the <em>cis</em>-diolsof ribonucleosides and the <em>in situ</em> production ofan IL solvent to permit rapid and selective extraction of modifiedribonucleosides. We synthesized and investigated the extraction performanceof 8 IL solvents and optimized key parameters of BTAIL-ME, includingtemperature, extraction time, and IL concentration. The optimizedBTAIL-ME method leveraged a dicationic IL 1,10-di(3-benzylimidazolium)decanebis[(trifluoromethyl)sulfonyl]imide ([C₁₀(BzIM)₂]²⁺ 2[NTf₂]⁻) that displayedpreconcentration factors of approximately 27-fold for <em>N</em>7-methylguanosine (m⁷G) and 30-fold for <em>N</em>1-methyladenosine (m¹A), compared to no enrichment ofthese nucleosides using conventional solid-phase microextraction approachesfor nanomolar concentration samples. Importantly, for broad applicabilityof BTAIL-ME, we developed a mass spectrometry-compatible method torecover nucleosides from the IL phase into an ammonium acetate bufferfor direct injection into liquid chromatography–mass spectrometry(LC-MS) instrumentation. We then applied BTAIL-ME to investigate extracellularmodified nucleosides released from primary cultures of <em>Aplysia californica</em> neural tissues, which enableddownstream LC-MS detection of three methylated, positively chargedribonucleosides. BTAIL-ME introduces an extraction approach for profilingselect extracellular modified ribonucleosides by LC-MS, paving theway toward understanding their functions in biological systems.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 3","pages":"668–678"},"PeriodicalIF":14.7,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Observation of Acetylcholine Secretion on Living Glioblastoma Cells","authors":"Conrad B. Milton,&nbsp;Mahmuda Akter,&nbsp;Olivia M. Kawakita,&nbsp;Siao-Han Huang,&nbsp;Mei Shen","doi":"10.1021/acsmeasuresciau.6c00051","DOIUrl":"10.1021/acsmeasuresciau.6c00051","url":null,"abstract":"<p>Glioblastoma, as the most common malignant brain tumorin humans,remains a big societal challenge; identifying new signaling moleculesin glioblastoma opens avenues for alternative treatment strategies.Emerging evidence suggests that neurochemical signaling is involvedin glioblastoma pathology. However, it is unknown if the neurotransmitteracetylcholine can be secreted by glioblastoma cells despite the expressionof the acetylcholine synthesis enzyme. Here, we tested our hypothesisthat glioblastoma cells secreted acetylcholine using a nanoelectrochemistryplatform: scanning electrochemical microscopy (SECM) and nanoelectrodes.Linear and selective acetylcholine detection was achieved on the nanointerface between two immiscible electrolyte solutions (nanoITIES,also called liquid/liquid interface). Using SECM, we positioned theacetylcholine-sensing nanoITIES electrodes very close (i.e., hundredsof nanometers) to the living T98G glioblastoma cells. We observedreal-time secretion of acetylcholine from glioblastoma cells. Wequantified the number of secreted acetylcholine molecules. Our discoverythat glioblastoma cells secrete acetylcholine reveals a novel signalingaxis in glioblastoma biology, highlighting a potential therapeutictarget for glioblastoma treatment.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 3","pages":"623–628"},"PeriodicalIF":14.7,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-Driven Electrochemistry Reveals the Impact of Hydrophobicity on Aptamer Cross-Reactivity","authors":"Emily Carroll,&nbsp;Michael A. Pence,&nbsp;Elizabeth Winterholler,&nbsp;Taylor D. Sparks,&nbsp;Shelley D. Minteer","doi":"10.1021/acsmeasuresciau.6c00040","DOIUrl":"10.1021/acsmeasuresciau.6c00040","url":null,"abstract":"<p>Electrochemical aptamer-based(E-AB) biosensors offer a promisingplatform for reagentless detection of molecular targets, yet aptamerrecognition can be limited by cross-reactivity, particularly for hydrophobicanalytes such as steroid hormones. To investigate how cross-reactivityinfluences E-AB sensor performance, we use automation and machinelearning to screen a library of possible interferent molecules againsta steroid-binding aptamer, with progesterone serving as a physiologicallyrelevant test case. Here, we develop a label-free E-AB sensor forprogesterone detection using a methylene blue-modified aptamer anchoredwith a hexanethiol linker. We then used an automated electrochemistryplatform to perform reproducible and high-throughput characterizationof our sensor through titration and frequency mapping experiments,identifying optimal frequencies for square-wave voltammetry interrogation.Our automated platform improved experimental throughput by 3-foldthat of manual experimentation and greatly improved reproducibilitywhen characterizing our aptamer-modified electrode. Over the courseof this work, we collected 20,000 voltammograms demonstrating thehigh-throughput capability of our platform. To evaluate the specificityof the aptamer sensor, we used our automated platform to screen aninterferent scope of 40 structurally and functionally diverse molecules.We used interpretable machine learning to better understand the chemicalcharacteristics of interferent molecules that resulted in sensor cross-reactivity,identifying hydrophobicity as a key molecular descriptor in predictingthe aptamer response. We found that the aptamer was cross-reactivetoward molecules with hydrophobicities similar to progesterone, irrespectiveof molecular structure. This cross-reactivity insight is an importantconsideration for the counterselection process during aptamer design.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 3","pages":"752–764"},"PeriodicalIF":14.7,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optical, Chemical, and Biological Detection Methods of Microplastics and Nanoplastics","authors":"Carlos Vico,&nbsp;Song Lin Chua","doi":"10.1021/acsmeasuresciau.6c00028","DOIUrl":"10.1021/acsmeasuresciau.6c00028","url":null,"abstract":"<p>Microplastics andnanoplastics (MNPs) are pervasive environmentalcontaminants with major impacts on ecosystems and human health. Thisraises the need to accurately detect and characterize MNPs to understandtheir sources, transport, fate, and biological effects. However, MNPsensing remains challenging due to their small size, chemical diversity,and complexity of environmental matrices. Here, we review recent advancesin optical, chemical, and biological detection methods for MNPs asof Jan 2026 while comparing their strengths and limitations. Opticalapproaches, such as light microscopy, electron microscopy, and lightscattering techniques, provide insights into size and morphology.Next, chemical detection, including FTIR, Raman spectroscopy, andmass spectrometry, enables quantitative and qualitative assessmentsof polymer types. Lastly, emerging biological strategies employ microbialbiosensors and biomolecular probes for cost-effective, rapid, andin situ MNP detection. We also explore novel MNP-sensing methods andpropose future directions for integrated and standardized MNP detectionframeworks to support environmental monitoring and risk assessment.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 3","pages":"579–594"},"PeriodicalIF":14.7,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rapid Classification of Coffee Varieties Using Single-Bean Hot Gas Extraction Ion-Mobility Spectrometry with Machine Learning","authors":"Nathanael Aaron Prayoga,&nbsp;Chamarthi Maheswar Raju,&nbsp;Pawel L. Urban","doi":"10.1021/acsmeasuresciau.6c00039","DOIUrl":"10.1021/acsmeasuresciau.6c00039","url":null,"abstract":"<p>Coffee is consumed by over one billion people daily,creating ahigh risk of adulteration where premium varieties are blended withinferior fillers. While various analytical techniques exist, theyare often expensive and require labor-intensive sample preparation,such as grinding and brewing. Here, we present a proof-of-conceptof a non-destructive platform that integrates ion-mobility spectrometrywith online hot-gas extraction for rapid classification of coffeevarieties using single-bean samples. The integration of a 1D convolutionalneural network (CNN) model enables automated differentiation with100% classification accuracy across four coffee bean varieties (CivetArabica, Civet Robusta, carbonic maceration, and anaerobic fermentationnatural) at an optimal bin width of 0.25 ms. When expanded to 10 diversecoffee bean varieties, the 1D CNN model achieved ∼92% independenttest accuracy at a bin width of 0.10 ms. Furthermore, the system successfullymonitored aroma degradation over 3 weeks and accurately predicteddegradation patterns of anaerobic fermentation natural Arabica. Additionally,this 1D CNN model achieved 90% accuracy in predicting the presenceof adulterants in coffee beans. Although the proposed method doesnot identify specific VOCs, the heuristic readouts it generates stillenable rapid quality control and authenticity verification in commercialcoffee beans.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 3","pages":"743–751"},"PeriodicalIF":14.7,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coil–Globule versus Field-Driven Coil–Blob Transitions of PEG under Nanopore Confinement","authors":"Alina Asandei,&nbsp;Camille Dejoux,&nbsp;Manuela Pastoriza-Gallego,&nbsp;Nadège Lubin-Germain,&nbsp;Fabien Piguet,&nbsp;Abdelghani Oukhaled","doi":"10.1021/acsmeasuresciau.6c00050","DOIUrl":"10.1021/acsmeasuresciau.6c00050","url":null,"abstract":"<p>Poly(ethylene glycol) (PEG) undergoes a coil–globuletransitionabove its lower critical solution temperature (LCST) as hydrationweakens. While this behavior is commonly tuned using chemical modificationor cosolutes, nanoscale confinement provides an alternative physicalmeans by which to influence polymer properties. Here, we use nanopore-basedsize discrimination as an indicator of full polymer confinement totrack driven conformational transitions at the single-polymer levelby examining the temperature-dependent transport of polydisperse PEGs(1500, 2000, and 3400 g·mol^–1) through twoβ-barrel protein nanopores with distinct geometries and surfaceproperties: α-hemolysin (α-HL) and aerolysin (Ael), overthe temperature range 5–45 °C. While temperature doesnot affect nanopore structure, it strongly modulates PEG–nanoporeinteraction kinetics. In α-HL, blockade durations for largerPEGs increase strongly with temperature, enabling size discriminationof PEG 2000 above 25 °C and PEG 3400 at 45 °C, consistentwith a confinement-induced coil–globule transition and a reducedapparent LCST. In contrast, in Ael, blockade durations decrease withtemperature for all PEG sizes, restricting size discrimination tolow temperatures under high applied voltages. This behavior, althoughour observations are inferred from transport dynamics rather thandirect structural measurements, indicates a field-driven, blob-likepolymer confinement, in which the chain is forced into the nanoporeby the electric field rather than stabilized by thermodynamics. Thesecontrasting regimes are rationalized by using scaling arguments anda unified free-energy framework for polymer confinement.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 3","pages":"796–810"},"PeriodicalIF":14.7,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Compact Multiplexed Hazardous Gas Sensing Platform for Real-Time Monitoring in Mining Scenarios","authors":"Diandra Nunes Barreto,&nbsp;Danielle da Silva Sousa,&nbsp;Lisa Walter,&nbsp;Renan Kobal de Oliveira Alves Cardoso,&nbsp;Fahd Al-Seba’ey,&nbsp;David Gache,&nbsp;João Flávio da Silveira Petruci,&nbsp;Boris Mizaikoff","doi":"10.1021/acsmeasuresciau.6c00033","DOIUrl":"10.1021/acsmeasuresciau.6c00033","url":null,"abstract":"<p>The determination of hazardous gases in confined environments,such as underground mines, is essential for ensuring suitable occupationalhealth conditions. Although gas chromatography coupled with mass spectrometry(GC-MS) is the gold-standard analytical technique for gas analysis,its application is not feasible in this context due to the bulkinessof the instrumentation and the inability to provide real-time responses.Alternative low-cost sensing techniques, such as metal oxide semiconductors(MOXs), are limited by low molecular selectivity, susceptibility tohumidity interference, and long-term instability. Herein, we proposean integrated and compact analytical platform that combines multiplequantum-cascade lasers (QCLs) with substrate-integrated hollow waveguides(iHWGs) acting as miniaturized gas cells for the real-time quantificationof hazardous gases, including SO₂, H₂S, CO₂, CH₄, NO, and NO₂, in confined workspacessuch as underground mines. Each QCL was selected and tuned to matchthe absorbance profile of a particular target analyte, with the exceptionof H₂S, which was converted to SO₂ via UV irradiationprior to quantification. An Arduino-based system facilitates signalacquisition and processing, enabling rapid data interpretation andwireless communication with external devices. At optimized conditions,the system enables the quantification of all target gases near theirpermissible exposure limits (PELs) in underground mines, with limitsof detection of 0.3, 7, 100, 100, 5, and 3 ppmv for SO₂, H₂S, CO₂, CH₄, NO, and NO₂, respectively. The entire system has a footprint of 470 ×320 × 100 mm, which is compatible with real-world deploymentscenarios in underground mines. This advanced sensing platform providesreal-time monitoring of toxic gases in confined environments withhigh molecular selectivity and suitable sensitivity. Designed forharsh conditions, it can operate reliably at high humidity, dust,vibrations, and electromagnetic interferences.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 3","pages":"736–742"},"PeriodicalIF":14.7,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}