Embryo metabolite analysis and implantation potential prediction using chemiluminescent microfluidic chips with dielectric wetting valves

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Authors: Wenqiang Tong, J. Shi, Zhihang Yu, Bin Ran, Jiaxi Du, Zhicheng Wang, Huixian Zhong, Qing Sun, Feng Xiong, Yonggang Zhu, Peilin Chen, Huaying Chen
Cited by: 3
References: 46

Abstract

Analysis of embryo metabolites offers a promising non-invasive strategy for assessing preimplantation developmental potential, yet the limited performance of current sensing platforms restricts physiological insights. Here we report a capillary-driven chemiluminescence microfluidic device equipped with three electrowetting valves, enabling simultaneous, offline quantification of glucose, lactate and pyruvate from as little as 3 μL of spent blastocyst culture medium (SBCM). Using a training set (n = 61) and validation set (n = 108) of human embryo transfers, we systematically recorded morphological development and clinical pregnancy outcomes. Metabolic flux analysis revealed that embryos with higher developmental potential consumed more glucose and pyruvate while producing more lactate. Integration of metabolic and morphological data yielded a predictive model of implantation potential with an area under the curve (AUC) of 92.0%, demonstrating robust performance. This platform establishes a powerful tool for embryo selection and may inform clinical decision-making in assisted reproduction. Analysis of embryo metabolites offers a promising non-invasive strategy for assessing preimplantation developmental potential. Here, the authors report a capillary-driven chemiluminescence microfluidic device equipped with three electrowetting valves that enables quantification of glucose, lactate and pyruvate from as little as 3 μL of spent blastocyst culture medium.

Fields of Study & Subjects

Electrowetting and Microfluidic Technologies Microfluidic and Bio-sensing Technologies 3D Printing in Biomedical Research

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
2 March 2026
Language
EN