Evidence map›Paper›PMID 35957119›Full record

ReviewNanomaterials (Basel, Switzerland)2022

Chemical Sensor Nanotechnology in Pharmaceutical Drug Research.

Lebogang Thobakgale, Saturnin Ombinda-Lemboumba, Patience Mthunzi-Kufa

Open access · goldAbstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Article
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

3 authors at 1 institution in 1 country.

Lebogang ThobakgaleNational Laser Centre, Council for Scientific and Industrial Research, P.O. Box 395, Pretoria 0001, South Africa.ORCID 0000-0003-2491-6948
Saturnin Ombinda-LemboumbaNational Laser Centre, Council for Scientific and Industrial Research, P.O. Box 395, Pretoria 0001, South Africa.ORCID 0000-0002-6112-7764
Patience Mthunzi-KufaNational Laser Centre, Council for Scientific and Industrial Research, P.O. Box 395, Pretoria 0001, South Africa.
Council for Scientific and Industrial Research · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increase in demand for pharmaceutical treatments due to pandemic-related illnesses has created a need for improved quality control in drug manufacturing. Understanding the physical, biological, and chemical properties of APIs is an important area of health-related research. As such, research into enhanced chemical sensing and analysis of pharmaceutical ingredients (APIs) for drug development, delivery and monitoring has become immensely popular in the nanotechnology space. Nanomaterial-based chemical sensors have been used to detect and analyze APIs related to the treatment of various illnesses pre and post administration. Furthermore, electrical and optical techniques are often coupled with nano-chemical sensors to produce data for various applications which relate to the efficiencies of the APIs. In this review, we focus on the latest nanotechnology applied to probing the chemical and biochemical properties of pharmaceutical drugs, placing specific interest on several types of nanomaterial-based chemical sensors, their characteristics, detection methods, and applications. This study offers insight into the progress in drug development and monitoring research for designing improved quality control methods for pharmaceutical and health-related research.

Indexed as

chemical sensorsdetectionnanomaterialspharmaceuticalstherapeutic drugs

Identifiers

PMID35957119
PMCPMC9370582
OpenAlexW4291736423

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.