Evidence map›Paper›PMID 35755268›Full record

ReviewInternational journal of biomaterials2022

SPR-Based Sensor for the Early Detection or Monitoring of Kidney Problems.

Budi Mulyanti, Harbi Setyo Nugroho, Chandra Wulandari, Yuni Rahmawati, Lilik Hasanah, Ida Hamidah, Roer Eka Pawinanto, Burhanuddin Yeop Majlis

Open access · goldAbstract readReview
In one paragraph

Review in International journal of biomaterials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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

8 authors at 2 institutions in 2 countries.

Budi MulyantiDepartment of Electrical Engineering Education, Universitas Pendidikan Indonesia, Bandung 40154, Jawa Barat, Indonesia.ORCID https://orcid.org/0000-0002-4593-6289
Harbi Setyo NugrohoDepartment of Physics Education, Universitas Pendidikan Indonesia, Bandung 40154, Jawa Barat, Indonesia.
Chandra WulandariDepartment of Physics Education, Universitas Pendidikan Indonesia, Bandung 40154, Jawa Barat, Indonesia.ORCID https://orcid.org/0000-0002-9990-2746
Yuni RahmawatiDepartment of Physics Education, Universitas Pendidikan Indonesia, Bandung 40154, Jawa Barat, Indonesia.
Lilik HasanahDepartment of Physics Education, Universitas Pendidikan Indonesia, Bandung 40154, Jawa Barat, Indonesia.
Ida HamidahDepartment of Mechanical Engineering Education, Universitas Pendidikan Indonesia, Bandung 40154, Jawa Barat, Indonesia.
Roer Eka PawinantoDepartment of Electrical Engineering Education, Universitas Pendidikan Indonesia, Bandung 40154, Jawa Barat, Indonesia.
Burhanuddin Yeop MajlisInstitute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia.
Indonesia University of Education · IDNational University of Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SPR-based technology has emerged as one of the most versatile optical tools for analyzing the binding mechanism of molecular interaction due to its inherent advantages in sensing applications, such as real-time, label-free, and high sensitivity characteristics. SPR is widely used in various fields, including healthcare, environmental management, and food-borne illness analysis. Meanwhile, kidney disease has grown to be one of the world's most serious public health problems in recent decades, resulting in physical degeneration and even death. As a result, several studies have published their findings regarding developing of reliable sensor technology based on the SPR phenomenon. However, an integrated and comprehensive discussion regarding the application of SPR-based sensors for detecting of kidney disease has not yet been found. Therefore, this review will discuss the recent advancements in the development of SPR-based sensors for monitoring kidney-related diseases. Numerous SPR configurations will be discussed, including Kretschmann, Otto, optical fiber-based SPR, and LSPR, which are all used to detect analytes associated with kidney disease, including urea, creatinine, glucose, uric acid, and dopamine. This review aims to show the broad application of SPR sensors which encouraged the development of SPR sensors for kidney problems monitoring.

Identifiers

PMID35755268
PMCPMC9225913
OpenAlexW4283033590

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.