Evidence map›Paper›PMID 35986104›Full record

ArticleAnalytical and bioanalytical chemistry2022

Quantitative and rapid detection of morphine and hydromorphone at the point of care by an automated giant magnetoresistive nanosensor platform.

Dana L Cortade, Shan X Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Dana L CortadeDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA. dcortade@stanford.edu.
Shan X WangDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
Stanford University · US

Funding

National Institutes of Health (NIH) NIGMS Training Grant in Biotechnology 5T32GM008412
6 · The paper itself

Abstract

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 μL 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.

Indexed as

HydromorphoneMorphineAnalgesics, OpioidPoint-of-Care SystemsSmartphoneAnalgesics, OpioidHydromorphoneMorphineGiant magnetoresistanceNanosensorOpioid monitoringPoint-of-care diagnostics

Identifiers

PMID35986104
OpenAlexW4294015756

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.