A Nanochiral Biosensor Enables Clinical Anesthesia Monitoring
Abstract
ABSTRACT 10%, that is, over 32 million patients—suffer from inadequate anesthesia monitoring in surgical procedures yearly, global—results in unwanted intraoperative risks. On‐site, precise analysis of anesthesia concentration during patient surgery is highly desired yet has not been achieved owing to the lack of a satisfactory biosensor device: it allows sample collection‐and‐detection seamlessly and in a timely manner. Here, we introduce a new chiral plasma biosensor, a tandem integrating of one 3D nano‐helical silver array with an optofluidic chip that enables real‐time depth of anesthesia monitoring during surgery. The patient's blood flows into and is processed through our device's designed channel, where capillary‐driven flow enables rapid plasma separation from whole blood. The isolated plasma is then directly delivered to the surface‐enhanced Raman scattering (SERS) sensing region, and diverse functional anesthetics in blood are meanwhile recognized by the chiral plasma detector. The cost‐effective sensor enables the detection limitation at a level of 0.1 µg/mL, and more importantly, all analyses are completed within a minute level, showing an advance compared to current hour/day suboptimal temporal resolution. We further apply this device in the clinic, monitor the anesthetics, and offer individual drug metabolism profiles in various patients. In addition, this precise, on‐site, and real‐time biochip features a user‐friendly diagnostic system that uses mobile applications and portable accessories to address critical clinical needs, providing an opportunity for personalized anesthesia management based on patient‐specific needs.
Article Details
Authors (14)
Jing Lin
Rui Li
Xueru Guo
Department of Anesthesiology and Pain Medicine The First Affiliated Hospital of USTC Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
Chunliu Li
Department of Anesthesiology and Pain Medicine The First Affiliated Hospital of USTC Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
Anqi Li
Department of Medical Genetics, School of Basic Medicine, Institute for Brain Research, Tongji Medical College, Huazhong University of Science and Technology
Guangen Li
Zeiyi Li
Department of Anesthesiology and Pain Medicine The First Affiliated Hospital of USTC Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
Mingjiang Zhang
Zhi Tong
Rui Duan
Caiqin Han
School of Physics and Electronic Engineering Jiangsu Provincial Key Laboratory of Advanced Laser Materials and Devices Jiangsu Normal University Xuzhou China
Keqiang He
Department of Anesthesiology and Pain Medicine The First Affiliated Hospital of USTC Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
Sheng Wang
Taotao Zhuang