Chip-scale differential near-infrared spectroscopy in strongly water-absorbing environments

Near-infrared (NIR) spectroscopy enables nondestructive chemical analysis, yet quantitative measurements in aqueous environments are fundamentally hindered by water’s dominant, broadband absorption. This strong background obscures weak analyte signatures and can destabilize spectral inference in chip-scale spectrometers. Here, we demonstrate a chip-scale differential NIR spectrometer based on an integrated bidirectional photonic circuit that operates robustly in strongly water-absorbing environments. Counter-propagating light paths simultaneously encode solvent-dominated and analyte-sensitive spectral bands through a shared bidirectional photonic circuit, reducing internal encoding mismatch and enabling differential suppression of water-induced backgrounds and common-mode perturbations. We validate this approach using fully packaged silicon nitride spectrometers spanning two ultrabroad NIR windows. Quantitative measurements of water–ethanol mixtures yield a formal limit of detection of 0.05% based on the 3σ/slope criterion, whereas concentration differences down to 0.03% remain experimentally distinguishable. Beyond static analysis, the platform enables periodic, long-term tracking of ethanol generation from aliquots collected during a 10-day apple-juice fermentation. We establish a general and scalable strategy for robust chip-scale NIR spectroscopy in complex liquid environments, opening opportunities for robust chemical analysis on second-scale timescales and process monitoring in industrial, environmental, and biomedical applications.

Authors

Institutions

Publication Details

Journal
Advanced Photonics
Published
2026-11-09
DOI
https://doi.org/10.1117/1.ap.9.1.016005
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Chip-scale differential near-infrared spectroscopy in strongly water-absorbing environments

Richard V. Penty, Tongyun Li, Chunhui Yao
Advanced Photonics
Spectroscopy and Chemometric Analyses
article

Chip-scale differential near-infrared spectroscopy in strongly water-absorbing environments

Richard V. Penty, Tongyun Li, Chunhui Yao
article en

Abstract

Near-infrared (NIR) spectroscopy enables nondestructive chemical analysis, yet quantitative measurements in aqueous environments are fundamentally hindered by water’s dominant, broadband absorption. This strong background obscures weak analyte signatures and can destabilize spectral inference in chip-scale spectrometers. Here, we demonstrate a chip-scale differential NIR spectrometer based on an integrated bidirectional photonic circuit that operates robustly in strongly water-absorbing environments. Counter-propagating light paths simultaneously encode solvent-dominated and analyte-sensitive spectral bands through a shared bidirectional photonic circuit, reducing internal encoding mismatch and enabling differential suppression of water-induced backgrounds and common-mode perturbations. We validate this approach using fully packaged silicon nitride spectrometers spanning two ultrabroad NIR windows. Quantitative measurements of water–ethanol mixtures yield a formal limit of detection of 0.05% based on the 3σ/slope criterion, whereas concentration differences down to 0.03% remain experimentally distinguishable. Beyond static analysis, the platform enables periodic, long-term tracking of ethanol generation from aliquots collected during a 10-day apple-juice fermentation. We establish a general and scalable strategy for robust chip-scale NIR spectroscopy in complex liquid environments, opening opportunities for robust chemical analysis on second-scale timescales and process monitoring in industrial, environmental, and biomedical applications.

Advanced PhotonicsVol. 9(01)
University of Cambridge (GB)
Spectroscopy and Chemometric Analyses
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.

Laika access coming soon