Evidence map›Paper›PMID 42277266›Full record

ArticleAnalytical and bioanalytical chemistry2026

Automated high-throughput Raman detection of fluidic samples: measurement setup and methods preventing air bubble interference.

Jingyi Chen, Jiarui Wang, Elmar Schuck, Gang Wang, Joey Studts, Matthias Franzreb

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jingyi ChenBoehringer Ingelheim Pharma GmbH/Co. KG, Biberach an Der Riss, Germany.
Jiarui WangBoehringer Ingelheim Pharma GmbH/Co. KG, Biberach an Der Riss, Germany.
Elmar SchuckBoehringer Ingelheim Pharma GmbH/Co. KG, Biberach an Der Riss, Germany.
Gang WangBoehringer Ingelheim Pharma GmbH/Co. KG, Biberach an Der Riss, Germany.
Joey StudtsBoehringer Ingelheim Pharma GmbH/Co. KG, Biberach an Der Riss, Germany.
Matthias FranzrebInstitute of Functional Interfaces, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany. matthias.franzreb@kit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman spectroscopy has widely been recognized as an analytical tool of high potential in biopharmaceutical downstream processing, and the use of flow cells has been suggested for use in in situ or in-line Raman spectroscopy measurements at least for development-scale processes. However, there remains a need for Raman analysis of samples that cannot be accessed through an in-line monitoring system, particularly for low-volume samples in micro-to-milliliter range. This article presents a new setup that enables automated Raman measurements of liquid samples with low injection volume of 300 µL. A designed adapter links a Tornado Micro Flow Cell to a Tecan liquid handling system, allowing direct sample delivery. This work focuses on a set of methods implemented on this setup to address the issue of air bubbles, which can significantly interfere with Raman signal quality during measurement. These methods include adapted residence time, a three-step purging/cleaning method, combined with a vertical and upflow flow-cell orientation. A series of experiments demonstrates the effectiveness of these methods in reducing air bubbles and improving spectral robustness. The presented setup and methods enable automated high-throughput Raman detection of fluidic samples with small injection volumes and high-quality spectral data.

Indexed as

Air-free detectionAutomationBubble interferenceFlow-cell injectionLiquid handling stationRaman spectroscopy

Identifiers

PMID42277266
PMCPMC13473104

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.