In-Situ Identification and Concentration Detection of Microfluidic Liquid Using a Non-Contact Photoacoustic Sensing Approach
Year: 2026
Type: article
Abstract: Microfluidic liquid samples are crucial in both biomedical and chemical engineering, however, their in-situ identification and testing remain a major challenge. Here, we developed a non-contact photoacoustic (PA) sensor for in-situ and real-time identification and concentration detection of substances in a microfluidic environment. The ultrasonic vibration of the microfluidic samples was generated by a free-space pulsed laser pump and detected by a non-contact laser Doppler vibrometer. The time- and frequency-domain responses of the PA signals were employed to achieve substance identification and concentration detection. Principal component analysis (PCA) and adaptive boosting (AdaBoost) algorithms were employed to extract the frequency-domain characteristics, and an identification accuracy of over 98% was achieved. Chemical samples down to the nanomolar (nM) level can be detected by analyzing either the time-domain or frequency-domain response. The proposed sensor with non-contact and fast detection provides a promising platform for in-situ and real-time monitoring of samples in microfluidic systems.
Source: Photonic Sensors
Authors: Liheng YANG, Dian MIAO, Yu WANG, Zewen HAN, Xi YANG, Xiaoxiao CHEN, Shigui XUE, Mateusz SMIETANA, Yuan GONG, Yunjiang RAO
Institutions: University of Electronic Science and Technology of China, Ministry of Education of the People's Republic of China, Peking University, National Institute of Measurement and Testing Technology, Sinopec (China), SINOPEC Geophysical Research Institute (China), Warsaw University of Technology
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Awards: G2573780691, G6399205284
OpenAlex ID: W7128437406
