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Bitterness of Peptides: Amino Acid Composition and Chain Length
Abstract
During our work on taste of foods we synthesized a series of peptides and soon came to the opinion, that the bitterness of peptides is caused by the hydrophobic action of amino acid side chains. Here I think some remarks on hydrophobic interactions ( 1 ) would be appropriate. It is generally accepted now, that hydrophobic interactions are a contributing factor to protein behaviour and esp. to the formation of the secondary structure, e.g. helix. This means, that as shown in Figure 1 hydrophobic residues of the amino acids in a peptide are driven together by clusters of water molecules and so the secondary structure of a peptide or protein is formed. For the transfer from the helical to the stretched form, Tanford ( 2 ) found that the transfer free energy of the total protein results from the sum of the contributions of the single amino acid residues. The Δf values of the
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“When this value exceeds 1400, the peptide is to be considered bitter, while below 1300, the peptide is not bitter, but the bitterness of a peptide that has a Q value between 1300 and 1400 cannot be predicted [82].”
From Plant Milk-Clotting Enzymes for Cheesemaking (2022) · cites this paper as [82]
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“Additionally, the presence of internally sited Pro residues was also shown to be a major and distinct contributor to peptide bitterness (Ney 1979).”
BackgroundPripp, A. H., & Ardö, Y. (2006) · Food Chemistry · doi:10.1016/j.foodchem.2006.06.026 · Cited by 98
Tan, P. S. T., van Kessel, T. A., van de Veerdonk, F. L., Zuurendonk, P. F., Bruins, A. P., & Konings, W. N. (1993) · Applied and Environmental Microbiology · doi:10.1128/aem.59.5.1430-1436.1993 · Cited by 94
“According to the hypothesis of Ney (34-36), bitterness is related to the average hydrophobicity of the peptide.”
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Plant Milk-Clotting Enzymes for Cheesemaking
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“When this value exceeds 1400, the peptide is to be considered bitter, while below 1300, the peptide is not bitter, but the bitterness of a peptide that has a Q value between 1300 and 1400 cannot be predicted [82].”
BackgroundChen, D., Chen, W., Li, W., et al. (2023) · Food Chemistry · doi:10.1016/j.foodchem.2023.136090 · Cited by 90
Meinlschmidt, P., Schweiggert‐Weisz, U., Brode, V., et al. (2016) · LWT · doi:10.1016/j.lwt.2016.01.023 · Cited by 85
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Bitterness in cheese: A review
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“PAGE was performed according to the method of Andrews (1983), in 4-5 Murea-containing polyacrylamide slabs (T, acrylamide plus bisacrylamide, 125 g/1; C, bisacrylamide, 40 g/kg T, pH 7-6) with stacking gel (42 g T/l, 40 g C/kg T, pH 8-9). The gels were stained by the direct staining procedure of Blakesley & Boezi (197…”
MethodEnzymatic hydrolysis of whey proteins. II. Molecular‐weight range
Tello, P. G., Camacho, F., Jurado, E., Páez, M. P., & Guadix, E. M. (1994) · Biotechnology and Bioengineering · doi:10.1002/bit.260440416 · Cited by 76
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“Peptides with Q <1,300 cal/res are not bitter, Q >1,400 cal/res are bitter (indicated in bold), and Q = 1,300–1,400 cal/res cannot be predicted with respect to bitterness (Ney, 1979; Lee et al., 1996).”
BackgroundThe flavour of milk and dairy products: III. Cheese: taste
McSweeney, P. L. H. (1997) · International Journal of Dairy Technology · doi:10.1111/j.1471-0307.1997.tb01752.x · Cited by 68
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e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods
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“In addition, all these studies focus on the prediction of small-molecule bitterant, which is our current main research interest, thus the prediction of bitter peptide explored in the other studies (Ney, 1979; Soltani et al., 2013) will not be reviewed here.”
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“However small hydrophobic peptides released during enzymatic hydrolysis have been shown to be responsible for the bitter taste of protein hydrolysates (Matoba & Hata, 1972; Ney, 1979).”
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“In contrast, pleasant flavors were correlated with hydrophilic peptides (Hughes et al., 2002; Ney, 1979; Nishimura & Kato, 1988).”
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“According to Ney’s method (Ney, 1979) the average hydrophobic value was calculated as follows: Q = ∑ DQ = AAi/Mi∑ AAi/Mi × Dfti (1) where AAi is content of each amino acid in 100 g protein (g), Mi is molar mass of each amino acid (g/mol), ∑AAi/Mi was the total moles of amino acid in 100 g of…”
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“The importance of hydrophobic amino acid residues in bitter peptides could be well-characterized using average hydrophobicity (Q-value) according to the hypothesis of Ney (1979), who demonstrated that a peptide was almost certainly bitter when its Q-value exceeded 1400 cal/mol.”
MethodFu, Y., Bak, K. H., Liu, J., Gobba, C. D., Tøstesen, M., Hansen, E. T., Petersen, M. A., Ruiz, J., Bredie, W. L. P., & Lametsch, R. (2019) · Food Research International · doi:10.1016/j.foodres.2019.03.017 · Cited by 48
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“In order to quantify the bitterness of biopeptides using their structures, Ney (1979) developed the Q-rule to illustrate and predict the bitterness of a peptide.”
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“Ney (1979) showed a correlation between the number and strength of a peptide’s hydrophobic amino acid side chains and bitterness when the peptide’s molecular weight is between 100 and 6,000 Da.”
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“The bitterness elicited by peptides has been researched by numerous authors who found that bitterness is most commonly associated with; small to medium hydrophobic peptides (Ney, 1979), peptides with high proline content (Ishibashi, Kubo, et al.”
BackgroundBitter peptide from hemoglobin hydrolysate: Isolation and characterization
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“According to Ney (1979) bitterness of peptides is associated with the degree of hydrophobici ty of amino acid side chains and the length of the peptide produced.”
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“Ney (1979) aimed to determine the relationship be-tween molecular weight, hydrophobicity, and bitterness of peptides.”
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“For example, with a stronger hydrophobicity of C-terminal amino acid “F” [4f value (measurement of hydrophobicity) of 2650] than C-terminal amino acid “V” (4f value of 1690), dipeptide “AF” (19 mM) showed a lower bitter taste threshold than dipeptide “AV” (69 mM) [5,38].”
BackgroundStructural Characteristics of Food Protein‐Derived Bitter Peptides
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Debittering Casein Hydrolysates with Octadecyl‐Siloxane (C18) Columns
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Identification of a Bitter Peptide Contributing to the Off-Flavor Attributes of Pea Protein Isolates
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Proteomics Analysis in Dairy Products: Cheese, a Review
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“Graviera Kritis RP-HPLC analysis SDS PAGE [28]”
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Functional Properties of Fish Protein Hydrolysates
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Identifying Sequential Residue Patterns in Bitter and Umami Peptides
Dutta, A., Bereau, T., & Vilgis, T. A. (2022) · ACS Food Science & Technology · doi:10.1021/acsfoodscitech.2c00251 · Cited by 20
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“Histidine은 백색육 어류보다 적색육 어류에 많이 존재하는 아미노산이나(17), Ney(34)는 미각 테스트 결과 고등어나 참 치에서 많이 함유되어 있는 histidine은 이들 어류의 맛에 중요한 역할을 하고 있지 않은 것으로 보고하여, 붕장어에서 정미성분으로서의 역할은 크기 않을 것으로 생각된다.”
iBitter-GRE: A Novel Stacked Bitter Peptide Predictor with ESM-2 and Multi-View Features
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Effect of dry heat on the in vitro digestibility and trypsin inhibitor activity of chickpea flour
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“Amino acids can exhibit various taste characteristics in tea, including umami, sweet, sour, or even bitter, the latter caused by the hydrophobic effect of amino acid side chains [40].”
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“The Q value for evaluating bitterness was calculated on the basis of the free energy values of amino acid side chains and determined to be 1,091 cal/mol (<1,300 cal/mol), indicating no bitter taste in the BCH (Ney, 1979; FitzGerald and O’cuinn, 2006).”
MethodInfluentialDaher, D., Deracinois, B., Baniel, A., et al. (2020) · Foods · doi:10.3390/foods9101354 · Cited by 16
“The bitterness of a peptide can also be related to the hydrophobic nature of its amino acids [22], such as aromatic residues (tryptophan, tyrosine, and phenylalanine) or having a hydrocarbon side chain (leucine, isoleucine, and valine) and their position in the peptide sequence [23].”
BackgroundEffect of different proteases on bitterness of hemoglobin hydrolysates
Aubes-Dufau, I., & Combes, D. (1997) · Applied Biochemistry and Biotechnology · doi:10.1007/bf02787847 · Cited by 15
Sénchez-Brambila, G. Y., Álvarez-Manilla, G., Soto-Córdova, F. J., et al. (2004) · Journal of Aquatic Food Product Technology · doi:10.1300/j030v13n01_06 · Cited by 15
Wang, K.-Z., Xu, W., Zhou, M., et al. (2018) · Aquaculture Nutrition · doi:10.1111/anu.12677 · Cited by 14
Metadata
- Authors
- NEY, K. H.
- Affiliations
- Unilever (Germany) (DE)
- Corresponding author
- NEY, KARL HEINZ
- Venue
- ACS Symposium Series
- Publisher
- AMERICAN CHEMICAL SOCIETY
- Published
- 1979-12-14
- Pages
- 149-173
- ISSN
- 0097-6156 (ISSN-L)
- 1947-5918
- OpenAlex
- W2506737813
- Cited by
- 152
- References
- 0
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 5 · 2023: 5 · 2022: 10 · 2021: 5 · 2020: 4 · 2019: 9 · 2018: 9 · 2017: 6 · 2016: 4 · 2015: 2 · 2014: 6 · 2013: 6
- FWCI
- 4.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACS symposium series (publishedVersion)
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Biochemical Analysis and Sensing Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Chemistry › Organic Chemistry › Chemical Synthesis and Analysis
- Keywords
- amino acid composition, chain length, hydrophobic interactions, amino acid side chains, peptide secondary structure, helix formation, water clusters, transfer free energy
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