Evidence map›Paper›PMID 37009196›Full record

ArticleThe Yale journal of biology and medicine2023

Design and Characterization of Nanoflowers-based Biosensor for Estimation of Bilirubin in Jaundice.

Kanchi Acharya, Bala Prabhakar, Pravin Shende

Open access · diamondAbstract read
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Article in The Yale journal of biology and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

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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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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.

Kanchi AcharyaShobhaben Pratapbhai Patel School of Pharmacy & Technology Management, Mumbai, India.
Bala PrabhakarShobhaben Pratapbhai Patel School of Pharmacy & Technology Management, Mumbai, India.
Pravin ShendeShobhaben Pratapbhai Patel School of Pharmacy & Technology Management, Mumbai, India.
Narsee Monjee Institute of Management Studies · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoflowers (NFs) are flower-shaped nanoparticulate systems with a higher surface-to-volume ratio and good surface adsorption. Jaundice indicates yellow discoloration of skin, sclera, and mucus membrane and is a clinical indication of bilirubin accumulation in the blood which occurs as a consequence of the incapability of the liver to excrete bilirubin in the biliary tree or conjugate bilirubin and higher production of bilirubin in the body. Several methods have been developed so far for bilirubin estimation in jaundice like the spectrophotometric method, chemiluminescence method, etc., but biosensing methods provide advantages over traditional methods concerning the surface area, adsorption, particle size, and functional characteristics. The primary objective of the present research project was to formulate and examine the adsorbent nanoflowers-based biosensor for accurate, precise, and sensitive detection of bilirubin in jaundice. The particle size of adsorbent nanoflowers was found to be in the range of 300-600nm with the surface charge (zeta potential) in the range of -1.12 to -15.42 mV. Transmission electron microscopy and scanning electron microscopy images confirmed the flower-like morphological structure of adsorbent NFs. The adsorption efficiency of NFs for bilirubin adsorption was maximum at 94.13%. Comparative studies of bilirubin estimation in the pathological sample with adsorbent NFs and diagnostic kit displayed bilirubin concentration to be 1.0 mg/dL in adsorbent nanoflowers and 1.1 mg/dL with diagnostic kit indicating effective detection of bilirubin with adsorbent NFs. The nanoflower-based biosensor acts as a smart approach to elevate adsorption efficiency on the surface of nanoflower due to a higher surface-to-volume (SV) ratio. Graphical Abstract.

Indexed as

Biosensing TechniquesJaundiceAdsorptionBilirubinHumansBilirubinadsorbent nanoflowersAdsorption capacitybilirubinbiosensorinotropic gelation technique

Identifiers

PMID37009196
PMCPMC10052592
OpenAlexW4362471547

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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.