Electrostatically Sealed Paper-Based Microfluidic Device for Environmentally Robust Nitrite Determination by Griess Colorimetry

Microfluidic paper-based analytical devices (µPADs) are promising for point-of-care testing, yet most operate in an open-format that is susceptible to solvent evaporation and reagent contamination, causing poor signal stability under changing environments. Here, we present an equipment-free sealing strategy to construct closed µPADs by electrostatically adsorbing two polymer films onto open chips, forming an enclosed microenvironment. Using the Griess colorimetric reaction for nitrite, we benchmarked the closed-format against an open counterpart. At a standard condition, the closed µPAD produced a higher grayscale signal, reached a stable peak within 10 min, and remained stable for >60 min. It also demonstrated superior environmental robustness, yielding consistently smaller relative standard deviations (RSDs) across varying humidity levels and temperatures. With the optimized readout time, nitrite exhibited linear calibration over 2.0–10 mg/L (R2 = 0.998), with a detection limit of 0.75 mg/L. In synthetic urine A, spike–recovery tests at 2.0, 5.0, and 9.0 mg/L gave acceptable recoveries and precision across temperature–humidity conditions (RSD < 10%). Additional verification in synthetic urine B at 5.0 mg/L under an uncontrolled environment further confirmed the practicality of this sealed µPAD for environment-tolerant quantitative nitrite analysis.

Authors

Institutions

Publication Details

Journal
Chemosensors
Published
2026-06-16
DOI
https://doi.org/10.3390/chemosensors14060139
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electrostatically Sealed Paper-Based Microfluidic Device for Environmentally Robust Nitrite Determination by Griess Colorimetry

Xuekun Li, Yunhui Zhai, Xiaoqian Long, X Guo et al.
Chemosensors
Biosensors and Analytical Detection
article

Electrostatically Sealed Paper-Based Microfluidic Device for Environmentally Robust Nitrite Determination by Griess Colorimetry

Xuekun Li, Yunhui Zhai, Xiaoqian Long, X Guo, Danping XIE, Kai Luo, Mingfei Tong, Baimei Shi
article en

Abstract

Microfluidic paper-based analytical devices (µPADs) are promising for point-of-care testing, yet most operate in an open-format that is susceptible to solvent evaporation and reagent contamination, causing poor signal stability under changing environments. Here, we present an equipment-free sealing strategy to construct closed µPADs by electrostatically adsorbing two polymer films onto open chips, forming an enclosed microenvironment. Using the Griess colorimetric reaction for nitrite, we benchmarked the closed-format against an open counterpart. At a standard condition, the closed µPAD produced a higher grayscale signal, reached a stable peak within 10 min, and remained stable for >60 min. It also demonstrated superior environmental robustness, yielding consistently smaller relative standard deviations (RSDs) across varying humidity levels and temperatures. With the optimized readout time, nitrite exhibited linear calibration over 2.0–10 mg/L (R2 = 0.998), with a detection limit of 0.75 mg/L. In synthetic urine A, spike–recovery tests at 2.0, 5.0, and 9.0 mg/L gave acceptable recoveries and precision across temperature–humidity conditions (RSD < 10%). Additional verification in synthetic urine B at 5.0 mg/L under an uncontrolled environment further confirmed the practicality of this sealed µPAD for environment-tolerant quantitative nitrite analysis.

ChemosensorsVol. 14(6)
Xi’an University (CN), China National Center for Food Safety Risk Assessment (CN)
Xi'an Municipal Bureau of Science and Technology
Life in Land
Openalex Percentile: Top 11%
Biosensors and Analytical Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.