Evidence map›Paper›PMID 30621098›Full record

ArticleMicromachines2019

Lab on a Chip for the Colorimetric Determination of Nitrite in Processed Meat Products in the Jordanian Market.

Mohammad F Khanfar, Nour J Abu Eisheh, Loiy Al-Ghussain, Ala'aldeen T Al-Halhouli

Abstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

4 authors.

Mohammad F KhanfarDepartment of Pharmaceutical and Chemical Engineering, School of Applied Medical Sciences, German Jordanian University, Amman 11180, Jordan. Mohammad.Khanfar@gju.edu.jo.ORCID 0000-0003-0062-9274
Nour J Abu EishehDepartment of Pharmaceutical and Chemical Engineering, School of Applied Medical Sciences, German Jordanian University, Amman 11180, Jordan. N.AbuEisheh@gju.edu.jo.
Loiy Al-GhussainNanoLab, Mechatronice Engineering Department, School of Applied Technical Sciences, German Jordanian University, Amman 11180, Jordan. loui.essam@hotmail.com.ORCID 0000-0002-3457-3806
Ala'aldeen T Al-HalhouliNanoLab, Mechatronice Engineering Department, School of Applied Technical Sciences, German Jordanian University, Amman 11180, Jordan. alaaldeen.alhalhouli@gju.edu.jo.

Funding

Abdul Hameed Shoman Foundation and School of Graduate Studies at the German Jordanian University NA
6 · The paper itself

Abstract

Nitrite and Nitrate have been used extensively as additives in various meat products to enhance flavor, color, and to preserve the meat from the bacterial growth. High concentrations of nitrite can threat human health since several studies in the literature claim that nitrite is associated with cancer incidences, leukemia, and brain tumors. Therefore, it is vital to measure the nitrite concentrations in processed meat products. In this study, an in-lab miniaturized photometric detection system is fabricated to inspect the nitrite concentration in processed meat products in Jordan. The analytical performance of nitrite detection is evaluated based on three key statistical parameters; linearity, limit of detection, and limit of quantitation. Respectively, for the fabricated system, the three values are found to be equal to 0.995, 1.24 × 10

Indexed as

griess reactionLab on a Chipmicrofluidicnitriteprocessed meat

Identifiers

PMID30621098
PMCPMC6356477

What OpenQuestion holds

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Registered trials

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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.