{"title":"Precise Characterization of Individual Microfluidic Droplets Using Laser Diffraction.","authors":"Shuzo Masui, Yusuke Kanno, Takasi Nisisako","doi":"10.1021/acsmeasuresciau.5c00041","DOIUrl":null,"url":null,"abstract":"<p><p>The expanding use of microfluidic droplets and particles across disciplines, from biology to materials science, highlights the need for developing precise characterization methods. Conventional particle characterization based on light scattering typically relies on averaged data from multiple particles, which can lead to inaccuracies due to contamination from larger particles. To overcome this issue, we here present a versatile laser diffraction (LD) system for characterizing individual droplets and particles flowing in a poly-(dimethylsiloxane) (PDMS) microfluidic device. Our system, mounted on a commercial inverted microscope, facilitates the simultaneous estimation of both the diameter and the refractive index of microparticles and droplets of size 20-50 μm. The LD system captures the angular distribution of scattered light from individual droplets as they pass through the PDMS microfluidic channels. Validation experiments were performed using liquid paraffin with varying refractive indices, oil-in-water (O/W) and water-in-oil (W/O) droplets, and size-certified polystyrene beads. Results showed high accuracy, with mean diameter estimation errors under 5% and refractive index estimation errors <0.5%. This adaptable characterization system can be combined with various microfluidic systems for droplet and particle generation, mixing, and sorting, offering broad potential for applications in multiple research domains.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 5","pages":"647-655"},"PeriodicalIF":4.6000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12532057/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Measurement Science Au","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1021/acsmeasuresciau.5c00041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/15 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The expanding use of microfluidic droplets and particles across disciplines, from biology to materials science, highlights the need for developing precise characterization methods. Conventional particle characterization based on light scattering typically relies on averaged data from multiple particles, which can lead to inaccuracies due to contamination from larger particles. To overcome this issue, we here present a versatile laser diffraction (LD) system for characterizing individual droplets and particles flowing in a poly-(dimethylsiloxane) (PDMS) microfluidic device. Our system, mounted on a commercial inverted microscope, facilitates the simultaneous estimation of both the diameter and the refractive index of microparticles and droplets of size 20-50 μm. The LD system captures the angular distribution of scattered light from individual droplets as they pass through the PDMS microfluidic channels. Validation experiments were performed using liquid paraffin with varying refractive indices, oil-in-water (O/W) and water-in-oil (W/O) droplets, and size-certified polystyrene beads. Results showed high accuracy, with mean diameter estimation errors under 5% and refractive index estimation errors <0.5%. This adaptable characterization system can be combined with various microfluidic systems for droplet and particle generation, mixing, and sorting, offering broad potential for applications in multiple research domains.
期刊介绍:
ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.