ACS Measurement Science AuPub Date : 2025-12-02eCollection Date: 2026-02-18DOI: 10.1021/acsmeasuresciau.5c00108
Luis Zamora-Peredo, María Guadalupe Soriano-Rosales, Adriana Baez-Rodríguez, Julián Hernández Torres, Leandro García-González, Marcos Luna Cervantes, Enrique Juárez-Aguilar
{"title":"SERS-Based Immunoassay on Ag/ZnO Nanorod Substrates for Detection of CA125 Antigen.","authors":"Luis Zamora-Peredo, María Guadalupe Soriano-Rosales, Adriana Baez-Rodríguez, Julián Hernández Torres, Leandro García-González, Marcos Luna Cervantes, Enrique Juárez-Aguilar","doi":"10.1021/acsmeasuresciau.5c00108","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00108","url":null,"abstract":"<p><p>Several reports have been published on the detection of the carbohydrate antigen 125 (CA125) cancer biomarker, where the immunoassay is completed with a molecule tag that is detected via surface-enhanced Raman scattering (SERS); however, it is still challenging to detect protein biomarkers without a Raman reporter. In this study, a SERS substrate based on zinc oxide nanorods (ZnO NRs) decorated with silver nanoparticles was fabricated, functionalized, and bioconjugated to detect CA125. Functionalization was performed by using an MPA self-assembled monolayer, which was subsequently surface-activated with an EDC/NHS solution. This process was optimized by using Raman measurements to determine the surface protonation of the substrate. The effect of the concentration and incubation time of the CA125 antibodies on the bioconjugation of the substrate were evaluated. SERS detection of CA125 was successfully achieved in a concentration range of 15-1000 U/mL, demonstrating performance comparable to the ELISA approach. A vibration mode at 829 cm<sup>-1</sup> associated with proline and tyrosine was identified and exhibited excellent linearity with CA125 concentration. A limit of detection (LoD) of 14 U/mL was estimated. This report confirms the potential of Ag/ZnO NR substrates for developing SERS assays for tumor marker detection using a portable Raman spectrometer.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 1","pages":"46-58"},"PeriodicalIF":4.6,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921610/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147271755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Measurement Science AuPub Date : 2025-12-01eCollection Date: 2026-02-18DOI: 10.1021/acsmeasuresciau.5c00131
Josh P Peters, Charbel D Assaf, Mathis Côté, Jan-Bernd Hövener, Andrey N Pravdivtsev
{"title":"Field Cycling from 10 nT to 9.4 T: A Flexible Gear Rod Design for Nuclear Spin Relaxation and Hyperpolarization Studies.","authors":"Josh P Peters, Charbel D Assaf, Mathis Côté, Jan-Bernd Hövener, Andrey N Pravdivtsev","doi":"10.1021/acsmeasuresciau.5c00131","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00131","url":null,"abstract":"<p><p>We present a flexible gear rod-based magnetic field cycling (MFC) system for high-resolution NMR spectrometers. The system enables the transfer of the sample from the NMR <i>B</i> <sub>0</sub> field of 9.4 T to ∼nT and all fields in between within 1 s. A flexible gear rod was essential for reducing the total height to approximately the height required for filling the NMR with liquid helium. Due to its reduced height, it can be installed in average-size NMR laboratories (the height of the NMR with MFC is only 3.32 m). Only off-the-shelf components and 3D-printed parts were used for the system assembly, lowering the costs for replication. An automated shimming procedure for ultralow fields is presented to achieve homogeneous fields of a few nanotesla. The system utility is exemplified by measuring <i>T</i> <sub>1</sub> relaxation dispersion of the most common liquid state hyperpolarization tracer[1-<sup>13</sup>C]-pyruvateand magnetic field dependences of signal amplification by reversible exchange, enabling alignment transfer to heteronuclei (SABRE-SHEATH) hyperpolarization of [<sup>15</sup>N]-pyridine. Using the system, we uncovered the exact relaxation dispersion of pyruvate for a standard preclinical dDNP sample composition and provided quantitative estimates for the retained polarization after sample transfer. We modified the observation protocol of SABRE-SHEATH polarization, which, with the high reproducibility of the MFC, provided us with a method to measure the chemical exchange rates of hyperpolarized compounds.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 1","pages":"81-95"},"PeriodicalIF":4.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921617/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Measurement Science AuPub Date : 2025-11-27eCollection Date: 2026-02-18DOI: 10.1021/acsmeasuresciau.5c00121
Matěj Přikryl, Andrea Rousová, Ivana Acimovic, Petr Vaňhara, Lukáš Jan, Petr Beneš, Jan Šmarda, Michal Kozubek, Karel Štěpka, Jarmila Navrátilová
{"title":"Cell Invasion Analysis of Tumor Spheroids Using 2D Image Data.","authors":"Matěj Přikryl, Andrea Rousová, Ivana Acimovic, Petr Vaňhara, Lukáš Jan, Petr Beneš, Jan Šmarda, Michal Kozubek, Karel Štěpka, Jarmila Navrátilová","doi":"10.1021/acsmeasuresciau.5c00121","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00121","url":null,"abstract":"<p><p>Metastatic disease is the most severe complication in oncological patients. The quantification of cellular invasion into the surrounding tissue is crucial for the identification of strategies to suppress this process. Extracellular matrix-embedded 3D cancer models, such as spheroids and organoids, are commonly used to mimic tumor progression under <i>in vitro</i> conditions. However, robust and widely used algorithms to detect and quantify spheroid growth and invasion into the surrounding matrix are still lacking. In this study, we use fluorescently labeled 3D models, as fluorescence images are generally of higher quality than bright-field images. We present a methodology to compute the mask of the spheroid core and to detect and characterize cells outside this mask. We have developed two strategies for mask computation, one for compact spheroids and another for models that lose their boundaries soon after insertion into the extracellular matrix. In both modes, masks can be created for spheroids of various shapes. Cells or their clusters outside the mask are recognized on the basis of filtered local maxima. This method enables the analysis of images with a nonconstant background, which is often found in real fluorescence images. The evaluation is largely automated but allows visual inspection based on the overlay of the objects detected by the algorithm with the original fluorescence signal of the spheroid core and the invading cells. A user-friendly manual adjustment of the parameters for mask fitting and cell detection is implemented.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 1","pages":"59-67"},"PeriodicalIF":4.6,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921606/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Measurement Science AuPub Date : 2025-11-26eCollection Date: 2026-02-18DOI: 10.1021/acsmeasuresciau.5c00141
Sri Vishnuvardhan Reddy Akepati, Nitant Gupta, Jay Shah, Stephen Kronenberger, Vaibhav Venkat, Rohan Adhikari Sridhar, Simona Bianco, Dave J Adams, Arthi Jayaraman
{"title":"Tutorial: Machine-Learning-Based CREASE-2D Analysis of 2D SAXS Profiles to Characterize Anisotropic Nanostructures in Soft Materials.","authors":"Sri Vishnuvardhan Reddy Akepati, Nitant Gupta, Jay Shah, Stephen Kronenberger, Vaibhav Venkat, Rohan Adhikari Sridhar, Simona Bianco, Dave J Adams, Arthi Jayaraman","doi":"10.1021/acsmeasuresciau.5c00141","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00141","url":null,"abstract":"<p><p>We present a tutorial to guide users on how to extend the Computational Reverse Engineering Analysis of Scattering Experiments-2D (CREASE-2D) framework to interpret their experimental two-dimensional small-angle scattering (SAS) data from soft materials (e.g., polymers, peptide amphiphiles, biomolecular fibrils). Unlike most traditional SAS analysis approaches, which typically rely on azimuthally averaged one-dimensional (1D) profiles, CREASE-2D utilizes the complete 2D scattering profile to reveal information about anisotropy in the structure. In past applications, CREASE has provided insights into complex structural features, including the cross-sectional shapes of assembled nanostructures and dispersity in these features, which are difficult to discern with existing analytical models. While (1D-) CREASE has been applied to SANS and SAXS data, this tutorial shares the steps for implementing CREASE-2D using an example of a dipeptide solution system, for which we have SAXS data. We present details for these steps involved in using CREASE-2D to interpret SAXS profiles: how to preprocess SAXS data, define relevant structural features, generate three-dimensional real-space structures for specific values of these features, train a machine learning (ML) surrogate model to predict scattering profiles for given structural features, and optimize these features using genetic algorithms (GA). Then, we use these steps to interpret complex 2D-SAXS data collected from dipeptide solutions that, in microscopy images, exhibit nanoscale structures that could be elliptical tubes/flat tapes/cylinders or a combination of these cross sections. Open-source codes, computational hardware, and software requirements, as well as the strengths and limitations of this protocol, are also presented. We expect researchers working with (soft) biomaterials, peptide amphiphiles, amphiphilic polymer solutions, polymer nanocomposites, and blends of particles/polymers will find this CREASE-2D method and this tutorial of use.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 1","pages":"1-20"},"PeriodicalIF":4.6,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921612/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Measurement Science AuPub Date : 2025-11-22eCollection Date: 2026-02-18DOI: 10.1021/acsmeasuresciau.5c00143
Ragurethinam Shanmugam, Yi-Kuang Yen
{"title":"Flower-like Silver Bismuth Sulfide/Carbon Nanosphere Nanocomposite for Sensitive Electrochemical Tumor Marker Sensing.","authors":"Ragurethinam Shanmugam, Yi-Kuang Yen","doi":"10.1021/acsmeasuresciau.5c00143","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00143","url":null,"abstract":"<p><p>A portable electrochemical aptasensor was fabricated using a nanocomposite (Silver Bismuth Sulfide/Carbon Nanosphere, AgBiS<sub>2</sub>/CNS) for the targeted detection of the cancer biomarker carcinoembryonic antigen (CEA). The prepared nanocomposite provides a higher specific surface area, electrical conductivity, and tunable functionality, which enable more effective aptamer immobilization compared to conventional electrode materials. The aptamer, known for its chemical stability and robust surface binding, was immobilized on the surface-treated screen-printed carbon electrode (SPCE), thereby enhancing the reproducibility and stability of the sensor platform. The fabricated portable sensor demonstrated the ability to detect CEA in an early stage with high sensitivity and selectivity. Quantification and optimization were performed using electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and differential pulse voltammetry (DPV) in 0.05 M phosphate buffer solution (PBS, pH 7.0) with 0.1 M KCl [Fe-(CN)<sub>6</sub>]<sup>3-/4-</sup> (5 mM) electrolyte system. The lower limit of detection (LOD) for CEA was found to be 7.6 ng mL<sup>-1</sup>. Practical applicability was confirmed by evaluating human serum samples, achieving recovery rates in the range of 98.06% to 99.69%.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 1","pages":"158-169"},"PeriodicalIF":4.6,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921616/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Measurement Science AuPub Date : 2025-11-20eCollection Date: 2025-12-17DOI: 10.1021/acsmeasuresciau.5c00136
Katia Cherifi, Simon Matoori
{"title":"Hydrogels for Analyte Sensing.","authors":"Katia Cherifi, Simon Matoori","doi":"10.1021/acsmeasuresciau.5c00136","DOIUrl":"10.1021/acsmeasuresciau.5c00136","url":null,"abstract":"<p><p>Hydrogels have emerged as a versatile platform technology for analyte sensing, offering unique advantages in tunable chemistry, for loading with sensors across multiple length scales, and biocompatibility. These smart materials undergo predictable changes in optical properties, conductivity, swelling, and porosity upon analyte interaction, enabling their function as biosensors. While hydrogels can respond to a variety of stimuli, their responses are most effectively quantified through optical and electrical readouts, which enable direct, real-time, and quantitative sensing in complex biological fluids. Optical approaches leverage fluorescence, chemiluminescence, and colorimetry, whereas electrical approaches leverage conductive fillers or redox-active groups. Hybrid platforms integrate multiple readout mechanisms, enhancing sensitivity, robustness, and multiplexing capabilities. Many of these systems were validated in various biological matrices, such as interstitial fluid, sweat, and wound exudates. Beyond technical advances, we discuss translational challenges including selectivity, stability, nonreversibility, signal standardization, device portability, and regulatory approval, as well as emerging opportunities in coupling hydrogel sensors with artificial intelligence for improved data interpretation and clinical integration. Together, these developments position hydrogel-based diagnostics as promising candidates for next-generation, real-time, point-of-care biosensing.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 6","pages":"771-779"},"PeriodicalIF":4.6,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12715737/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145805715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Label-Free Nanopore Biosensor for Rapid and Highly Sensitive Detection of Actinomycin in Human Serum.","authors":"Yuan Zhao, Haiyan Zheng, Sathishkumar Munusamy, Jun Chen, Juanhua Kong, Rana Jahani, Anudha Kanaherarachchi, Shuo Zhou, Xiyun Guan","doi":"10.1021/acsmeasuresciau.5c00157","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00157","url":null,"abstract":"<p><p>Actinomycin D (ActD), a potent anticancer drug, binds specifically to DNA at GpC-rich sites through intercalation and minor groove interactions. Detecting trace levels of ActD in complex biological fluids, such as human serum, is crucial for clinical, environmental, and pharmaceutical applications. Herein, we report a label-free detection method using an engineered α-hemolysin (α-HL) nanopore. In this assay, ActD binds to a ssDNA probe (GC<sub>2</sub>), enriched with GpC sites, forming GC<sub>2</sub>-ActD complexes that generate current modulations with distinct signatures from those of GC<sub>2</sub> alone. This sensor achieves high sensitivity, with a detection limit (LOD) of 1.20 nM, and a broad linear range of 2.5-250 nM. The sensor selectivity and the effects of metal ions and salt concentration on its performance were further evaluated. Moreover, this sensor enabled ActD detection in complex human serum samples with high selectivity. Overall, this DNA-based nanopore platform offers a powerful, label-free tool for drug screening and discovery.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 1","pages":"196-203"},"PeriodicalIF":4.6,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921608/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Measurement Science AuPub Date : 2025-11-11eCollection Date: 2026-02-18DOI: 10.1021/acsmeasuresciau.5c00138
Cristina Quílez, Jorge González-Rico, María Luisa López-Donaire, Nuria Gago-López, Arrate Muñoz-Barrutia, Diego Velasco
{"title":"Absolute Quantification and Spatial Mapping of Hyaluronic Acid in Histological Tissue Sections.","authors":"Cristina Quílez, Jorge González-Rico, María Luisa López-Donaire, Nuria Gago-López, Arrate Muñoz-Barrutia, Diego Velasco","doi":"10.1021/acsmeasuresciau.5c00138","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00138","url":null,"abstract":"<p><p>We present an accessible methodology for the absolute quantification and spatial mapping of hyaluronic acid (HA) in paraffin-embedded tissues. Although HA plays critical roles in tissue hydration, organization, and disease progression, its local concentration and spatial distribution remain poorly defined due to the lack of quantitative measurement tools. By integrating immunofluorescence, ELISA, and image analysis our approach enables the generation of pixel-level HA concentration maps. This strategy bridges the gap between qualitative imaging modalities and bulk biochemical assays, offering both spatial resolution and quantitative data. The method is validated across multiple tissues and is robust, scalable, and readily applicable to other extracellular matrix components, offering a practical tool for studying tissue microenvironments in health, disease, and biomaterial design.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 1","pages":"21-27"},"PeriodicalIF":4.6,"publicationDate":"2025-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921588/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Measurement Science AuPub Date : 2025-11-07eCollection Date: 2026-02-18DOI: 10.1021/acsmeasuresciau.5c00099
Chelsea E R Edwards, Wellington C Leite, Yun Liu
{"title":"Low‑<i>Q</i> Asymptotic Behavior of the Effective Structure Factor Yields Model-Independent Radius of Interparticle Interaction (<i>R</i> <sub><i>i</i></sub> ).","authors":"Chelsea E R Edwards, Wellington C Leite, Yun Liu","doi":"10.1021/acsmeasuresciau.5c00099","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00099","url":null,"abstract":"<p><p>Guinier analysis has been extensively used in academic and industrial research settings to obtain the model-independent size of a polymer, protein, or colloid in solution from small-angle scattering data. Using the Guinier model, the radius of gyration (<i>R</i> <sub><i>g</i></sub> ) is extracted from the form factor at low <i>Q</i>. Here, we develop an analogous approach for analyzing the effective structure factor data at low <i>Q</i> to extract a model-independent radius of interaction potential, <i>R</i> <sub><i>i</i></sub> . Whereas <i>R</i> <sub><i>g</i></sub> describes how spread out the scattering length density distribution of particles is from their center of mass, <i>R</i> <sub><i>i</i></sub> is an effective root-mean-square distance that quantifies how far the interparticle correlation deviates from its ideal gas configuration due to interactions. We demonstrate this novel analysis method by applying it to experimental small-angle neutron scattering data on lysozyme protein solutions. We discuss its broad implications for analysis of low-<i>Q</i> asymptotic X-ray and neutron scattering data, where Guinier analysis is traditionally applied.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 1","pages":"35-45"},"PeriodicalIF":4.6,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921611/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Measurement Science AuPub Date : 2025-11-05eCollection Date: 2026-02-18DOI: 10.1021/acsmeasuresciau.5c00154
Andrea C Mora, Alexandra K Sogn, Allison J Tierney, Elizabeth Tzavaras, Mabi L Singh, Gustavo Mahn Arteaga, Fiorenzo G Omenetto, Athena Papas, Charles R Mace
{"title":"Validation of Dried Saliva for Molecular Diagnostics.","authors":"Andrea C Mora, Alexandra K Sogn, Allison J Tierney, Elizabeth Tzavaras, Mabi L Singh, Gustavo Mahn Arteaga, Fiorenzo G Omenetto, Athena Papas, Charles R Mace","doi":"10.1021/acsmeasuresciau.5c00154","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00154","url":null,"abstract":"<p><p>A pivotal moment for the development of point of care diagnostics for COVID-19 was the validation of sample types that were alternatives to nasopharyngeal secretions. Specifically, anterior nasal fluid and saliva demonstrated a promising combination of high viral loads and minimal patient discomfort. However, only anterior nasal swabs were widely adopted, in part due to the complexity of saliva, its inherent variability between patients, and lack of a standardized method to collect a quality sample. Herein, we aim to standardize saliva sampling by repurposing FishburneTabspaper-based tabs originally designed to diagnose dry mouthas a sample collection tool for viral diagnostics. The workflow for operationalizing dried saliva is aligned with current sample processing methods for dried blood spot cards: (i) a patient collects a saliva sample with a FishburneTab, (ii) the FishburneTab is set on a flat surface to dry, and, after transport to a clinical laboratory, (iii) a standard hole punch is used to acquire punches for analysis. We show that FishburneTabs can reliably collect viral RNA, facilitate long-term dried sample storage, and achieve comparable performance to paired samples of liquid saliva (i.e., 92% accuracy). We validated this approach using a panel of 125 clinical samples, where dried saliva had a sensitivity of 85% and a specificity of 94% compared to paired liquid samples. These results suggest that FishburneTabs can be used to promote decentralized testing of upper respiratory viral infections through the self-collection of dried saliva.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 1","pages":"189-195"},"PeriodicalIF":4.6,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921584/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}