Evidence map›Paper›PMID 36247117›Full record

ArticleHeliyon2022

Volatile compounds, texture, and color characterization of meatballs made from beef, rat, wild boar, and their mixtures.

Lia Amalia, Nancy Dewi Yuliana, Purwantiningsih Sugita, Desi Arofah, Utami Dyah Syafitri, Anjar Windarsih, Abdul Rohman, Dachriyanus, Nor Kartini Abu Bakar, Feri Kusnandar

Abstract read
In one paragraph

Article in Heliyon, 2022. 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.

  1. Article
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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

10 authors.

Lia AmaliaDepartment of Food Science and Technology, IPB University, Bogor 16680, Indonesia.
Nancy Dewi YulianaDepartment of Food Science and Technology, IPB University, Bogor 16680, Indonesia.
Purwantiningsih SugitaDepartment of Chemistry, IPB University, Bogor 16680, Indonesia.
Desi ArofahIndonesian Center for Rice Research, Sukamandi, Subang 41256, Indonesia.
Utami Dyah SyafitriDepartment of Statistics, IPB University, Bogor, 16680, Indonesia.
Anjar WindarsihDepartment of Chemistry, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Abdul RohmanCenter of Excellence, Institute for Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia.
DachriyanusFaculty of Pharmacy, Andalas University, Padang 25175, Indonesia.
Nor Kartini Abu BakarDepartment of Chemistry, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Feri KusnandarDepartment of Food Science and Technology, IPB University, Bogor 16680, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this research was to characterize the volatile compounds, texture, and color profile of meatballs made from beef, rat, wild boar, and their combinations. Volatile compounds were analyzed using SPME/GC-MS and multivariate data analysis (PCA, PLS-DA). Additionally, several textural features such as hardness, gumminess, chewiness, cohesiveness, and colour (L, a∗, b∗, C, and h) were also analyzed. The findings revealed that texture and color characteristics can only be used to differentiate meatballs based on their raw meat materials when meat adulterants are used in high concentrations (≥50%). PLS-DA analysis of volatile data revealed distinct groupings among various types of meatballs, including meatballs adulterated with rat or wild boar meat at the lowest percentage used in this study (20%). By using VIP and correlation coefficient, the strongest markers in beef, rat, and wild boar meatballs were identified as (Z)-2-amino-5-methyl-benzoic acid, 2-heptenal, and cyclobutanol, respectively. Nonanal was consistently found as a significant marker in the meatballs made from a mixture of beef-rat and beef-wild boar at different ratios. This study demonstrated that the volatile profile of meat is more reliable than physicochemical profiles for developing an analytical tool for quickly identifying undesired meat in meat-derived products.

Indexed as

AdulterationHalalMeatballPLS-DAVolatilomics

Identifiers

PMID36247117
PMCPMC9558031

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.