Evaluation of amino acid composition in different types of meat and plant-based burger patties

The study examined the protein content and amino acid composition of various commercially available plant-based and meat-based burger patties. The aim of this study was to determine whether plant-based burger patties meet the requirement for essential amino acid content in the human diet. Amino acid profiles were determined using the Amino Acid Analyzer and FAO/WHO guidelines were considered for essential amino acid requirements. In this study, the protein content and amino acid composition of various meat-based burger patties (ABB), including chicken, pork and beef, and plant-based burgers (PBB) were analysed. The results showed that among the plant-based samples, PBB 4 had the highest protein content (24.81 g / 100 g), which was almost equal to that of ABB 1 (26.48 g / 100 g). The most abundant amino acids detected were Glu, Asp, Leu, Lys, Arg, Ser, Pro and Gly, with samples PBB 6, PBB 3 and ABB 1 having the highest concentrations. PBB 1 stood out as a valuable protein source with the highest content of essential amino acids (400.08 mg/g protein) among the plant-based burger patties. Some plant-based burger patties were deficient in essential amino acids, with PBB 3 and PBB 4 having the highest deficiency. The practical value of this study is that it helps people to make informed dietary choices.

Authors

Institutions

Publication Details

Journal
Acta agriculturae Slovenica
Published
2024-12-13
DOI
https://doi.org/10.14720/aas.2024.120.4.18282
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of amino acid composition in different types of meat and plant-based burger patties

Kaltrina Berisha, Alois Berisha, Hysen Bytyqi, Zsuzsanna Mednyánszky et al.
Acta agriculturae Slovenica
Meat and Animal Product Quality
article

Evaluation of amino acid composition in different types of meat and plant-based burger patties

Kaltrina Berisha, Alois Berisha, Hysen Bytyqi, Zsuzsanna Mednyánszky, Tamara TARI
article en

Abstract

The study examined the protein content and amino acid composition of various commercially available plant-based and meat-based burger patties. The aim of this study was to determine whether plant-based burger patties meet the requirement for essential amino acid content in the human diet. Amino acid profiles were determined using the Amino Acid Analyzer and FAO/WHO guidelines were considered for essential amino acid requirements. In this study, the protein content and amino acid composition of various meat-based burger patties (ABB), including chicken, pork and beef, and plant-based burgers (PBB) were analysed. The results showed that among the plant-based samples, PBB 4 had the highest protein content (24.81 g / 100 g), which was almost equal to that of ABB 1 (26.48 g / 100 g). The most abundant amino acids detected were Glu, Asp, Leu, Lys, Arg, Ser, Pro and Gly, with samples PBB 6, PBB 3 and ABB 1 having the highest concentrations. PBB 1 stood out as a valuable protein source with the highest content of essential amino acids (400.08 mg/g protein) among the plant-based burger patties. Some plant-based burger patties were deficient in essential amino acids, with PBB 3 and PBB 4 having the highest deficiency. The practical value of this study is that it helps people to make informed dietary choices.

Acta agriculturae SlovenicaVol. 120(4)
National Institute for Food and Nutrition Science (HU), University of Prishtina (XK)
Openalex Percentile: Top 73%
Meat and Animal Product Quality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.