Optical fiber based light scattering detection in microfluidic droplets

Wohlfeil, Shulin; Hengoju, Sundar; Munser, Anne-Sophie; Tovar, Miguel; Shvydkiv, Oksana; Roth, Martin; Schröder, Sven; Beckert, Erik; Eberhardt, Ramona; Tünnermann, Andreas

doi:10.1117/12.2509248

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…• May face challenges when interpreting the scattered patterns when dealing with non-spherical particles Multi-angle Light Scattering [194,196,197] • Provides information on shape, size, and granularity of the samples −/− • May face challenges when interpreting the scattered patterns when dealing with non-spherical particles…”

Section: Discussionmentioning

confidence: 99%

“…Naturally, this also greatly complicates the coupling with microfluidic devices, as the number of optical accesses required is considerably higher. In this regard, a device for multi-angle light scattering was developed for the characterization of encapsulated cells by Wohlfeil and coworkers [ 194 ]. Their study demonstrated the capability to detect microorganisms at the single-cell level in encapsulated environments.…”

Section: Scattering-based Detection Techniquesmentioning

confidence: 99%

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On-Chip Photonic Detection Techniques for Non-Invasive In Situ Characterizations at the Microfluidic Scale

Kurdadze,

Lamadie,

Nehme

et al. 2024

Sensors

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Microfluidics has emerged as a robust technology for diverse applications, ranging from bio-medical diagnostics to chemical analysis. Among the different characterization techniques that can be used to analyze samples at the microfluidic scale, the coupling of photonic detection techniques and on-chip configurations is particularly advantageous due to its non-invasive nature, which permits sensitive, real-time, high throughput, and rapid analyses, taking advantage of the microfluidic special environments and reduced sample volumes. Putting a special emphasis on integrated detection schemes, this review article explores the most relevant advances in the on-chip implementation of UV–vis, near-infrared, terahertz, and X-ray-based techniques for different characterizations, ranging from punctual spectroscopic or scattering-based measurements to different types of mapping/imaging. The principles of the techniques and their interest are discussed through their application to different systems.

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Section: Discussionmentioning

confidence: 99%

Section: Scattering-based Detection Techniquesmentioning

confidence: 99%

On-Chip Photonic Detection Techniques for Non-Invasive In Situ Characterizations at the Microfluidic Scale

Kurdadze,

Lamadie,

Nehme

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

Detection and Analysis of Droplets in Microfluidic Devices: A Review

Yan,

Cheng,

Zou

et al. 2024

IEEE Sensors J.

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Analysis of very low bacterial counts in small sample volumes using angle-resolved light scattering

Munser

Trost²,

Schröder³

et al. 2023

Appl. Opt.

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Because of its high sensitivity to even small objects and the quick measurement principle, angle-resolved scattering (ARS) measurements exhibit a promising potential as a rapid analysis tool for bacterial cells at small sample sizes and very low numbers of cells. In this study, investigations on scattered light from various bacterial cell samples revealed applicability down to single cell levels, which is a huge benefit compared to conventional methods that depend on time-consuming cellular growth over several hours or even days. With the proposed setup and data analysis method, it is possible to detect scatter differences among cell types, together with the cell concentration.

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Optical fiber based light scattering detection in microfluidic droplets

Cited by 3 publications

References 6 publications

On-Chip Photonic Detection Techniques for Non-Invasive In Situ Characterizations at the Microfluidic Scale

On-Chip Photonic Detection Techniques for Non-Invasive In Situ Characterizations at the Microfluidic Scale

Detection and Analysis of Droplets in Microfluidic Devices: A Review

Analysis of very low bacterial counts in small sample volumes using angle-resolved light scattering

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