Journal
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 414, Issue 24, Pages 7211-7221Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s00216-022-04274-2
Keywords
Opioid monitoring; Nanosensor; Giant magnetoresistance; Point-of-care diagnostics
Funding
- National Institutes of Health (NIH) NIGMS Training Grant in Biotechnology [5T32GM008412]
- Stanford University Herbert Kunzel Graduate Fellowship
Ask authors/readers for more resources
This article presents a method for quantitative, sensitive, and rapid detection of low-cost opioids using giant magnetoresistive (GMR) nanosensors in a clinical setting. They validated the method in saliva, blood, and plasma, and demonstrated a fully automated platform with efficient result transmission via smartphone and Bluetooth.
Opioids, such as morphine and hydromorphone, are common pain management drugs with a high risk for addiction and adverse effects when delivered in large doses or administered too frequently. Point-of-care (POC) tools provide a solution to combat these negative outcomes through active monitoring of opioid concentrations in clinical settings. We demonstrate that giant magnetoresistive (GMR) nanosensors offer a quantitative, sensitive, and rapid solution for low-cost, sample-to-answer opioid detection at the POC. We show the robust nature of GMR nanosensors by developing a competitive morphine assay and characterizing it in saliva, blood, and plasma. We then implemented the assay on a fully automated POC GMR platform and demonstrated its duality to detect either morphine or hydromorphone using only 180 mu L of direct saliva without the need for pre-processing. In 35 min from sample addition to result, the automated platform was controlled via smartphone and had seamless transmission of results via Bluetooth. The fully automated POC assay had a limit of detection of 3.43 ng/mL for morphine and 3.49 ng/mL for hydromorphone. The low-cost, 80-plex GMR nanosensor array coupled with the automated POC platform enables future development of multiplexed drug screening tools that can be deployed in clinical settings using a wide variety of non-invasive matrices.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available