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Wang W, Zhao Y, He L, Song Z, Shi C, Jia P, Yu Q, Han L. Cowhide gelatin peptide as a source of antioxidants for inhibiting the deterioration of pudding quality during storage. Food Chem X 2024; 22:101327. [PMID: 38590633 PMCID: PMC10999810 DOI: 10.1016/j.fochx.2024.101327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/22/2024] [Accepted: 03/20/2024] [Indexed: 04/10/2024] Open
Abstract
To investigate the effect of gelatin peptide on the inhibition of quality deterioration in stored pudding, gelatin peptide with antioxidant properties was added to pudding products. For this purpose, a pudding recipe containing gelatin peptides was created. The gelatin peptides were characterized based on their antioxidant activity and protein structure. It was found that gelatin peptides had better antioxidant properties, lower thermal stability and crystallinity, higher hydrophobic amino acid content, and greater surface hydrogen bond exposure than commercially available peptides. Properties such as the pH, colony growth, and sensory characteristics of the pudding were characterized at 4 °C and 25 °C. The results showed that the addition of 0.5-1.0 % gelatin peptide to pudding was capable of significantly (P< 0.05) slowing down the decline in pH and sensory scores of the pudding and significantly inhibiting colony growth. It could prolong its storage life by five days at 4 °C and three days at 25 °C.
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Affiliation(s)
- Wanlin Wang
- College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China
| | - Yining Zhao
- College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China
| | - Long He
- College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China
| | - Zhaoyang Song
- College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China
| | - Chaoxue Shi
- College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China
| | - Pei Jia
- College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China
| | - Qunli Yu
- College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China
| | - Ling Han
- College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China
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Di Renzo T, Reale A, Nazzaro S, Siano F, Addeo F, Picariello G. Shotgun proteomics for the identification of yeasts responsible for pink/red discoloration in commercial dairy products. Food Res Int 2023; 169:112945. [PMID: 37254369 DOI: 10.1016/j.foodres.2023.112945] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 04/27/2023] [Accepted: 05/02/2023] [Indexed: 06/01/2023]
Abstract
Pink/red discoloration encompasses a series of relatively common spoilage defects of commercial dairy products. In this study, we used shotgun proteomics to identify the microorganism responsible for the production of intensely red-coloured slimes found on the surface of freshly opened commercial spreadable cheese and yogurt samples. Proteome-wide characterization of microbial proteins allowed to identify 1042 and 687 gene products from Rhodotorula spp. in spreadable cheese and yogurt samples, respectively, while no significant protein scores from other microorganisms were recorded. Subsequent microbiological analyses and sequencing of the 26S rRNA gene region supported the proteomic results demonstrating that the microorganism involved was Rhodotorula mucilaginosa, a carotenoid - producing basidiomycetous that can be potentially pathogenic to humans, especially for immunocompromised individuals. This is the first time that shotgun proteomics has been used to identify a microorganism responsible for spoilage in dairy products, proposing it as a relatively fast, sensitive, and reliable alternative or complement to conventional methods for microbial identification.
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Affiliation(s)
- Tiziana Di Renzo
- Institute of Food Sciences, National Research Council, Via Roma, 64, 83100 Avellino, Italy
| | - Anna Reale
- Institute of Food Sciences, National Research Council, Via Roma, 64, 83100 Avellino, Italy.
| | - Stefania Nazzaro
- Institute of Food Sciences, National Research Council, Via Roma, 64, 83100 Avellino, Italy
| | - Francesco Siano
- Institute of Food Sciences, National Research Council, Via Roma, 64, 83100 Avellino, Italy
| | - Francesco Addeo
- Department of Agricultural Sciences, University of Naples "Federico II", Via Università 100, Parco Gussone, Portici, 80055 Naples, Italy
| | - Gianluca Picariello
- Institute of Food Sciences, National Research Council, Via Roma, 64, 83100 Avellino, Italy
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Nelli A, Venardou B, Skoufos I, Voidarou C(C, Lagkouvardos I, Tzora A. An Insight into Goat Cheese: The Tales of Artisanal and Industrial Gidotyri Microbiota. Microorganisms 2023; 11:microorganisms11010123. [PMID: 36677415 PMCID: PMC9863150 DOI: 10.3390/microorganisms11010123] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 12/22/2022] [Accepted: 12/29/2022] [Indexed: 01/06/2023] Open
Abstract
The purpose of this study was to determine for the first time the microbiota in artisanal-type and industrial-type Gidotyri cheeses and investigate the influence of the cheese-making practices on their composition using culture-independent techniques. The microbiota present in artisanal with commercial starters (Artisanal_CS, n = 15), artisanal with in-house starters (Artisanal_IHS, n = 10) and industrial (Ind., n = 9) Gidotyri cheese samples were analyzed using a targeted metagenomic approach (16S rRNA gene). The Ind. Gidotyri cheese microbiota were less complex, dominated by the Streptococcaceae family (91%) that was more abundant compared to the artisanal Gidotyri cheeses (p < 0.05). Artisanal cheeses were more diverse compositionally with specific bacterial species being prevalent to each subtype. Particularly, Loigolactobacillus coryniformis (OTU 175), Secundilactobacillus malefermentans (OTU 48), and Streptococcus parauberis (OTU 50) were more prevalent in Artisanal_IHS cheeses compared to Artisanal_CS (p ≤ 0.001) and Ind. (p < 0.01) Gidotyri cheeses. Carnobacterium maltaromaticum (OTU 23) and Enterobacter hormaechei subsp. hoffmannii (OTU 268) were more prevalent in Artisanal_CS cheeses compared to Artisanal_IHS cheeses (p < 0.05) and Ind. cheeses (p < 0.05). Hafnia alvei (OTU 13) and Acinetobacter colistiniresistens (OTU 111) tended to be more prevalent in Artisanal_CS compared to the other two cheese groups (p < 0.10). In conclusion, higher microbial diversity was observed in the artisanal-type Gidotyri cheeses, with possible bacterial markers specific to each subtype identified with potential application to traceability of the manufacturing processes’ authenticity and cheese quality.
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Daghio M, Pini F, Espinoza-Tofalos A, Conte G, Mari E, Giannerini F, Giovannetti L, Buccioni A, Franzetti A, Granchi L, Mele M, Rampazzo G, Gazzotti T, Zironi E, Viti C. Characterization of the microbial community in ripened Pecorino Toscano cheese affected by pink discoloration. Food Microbiol 2022; 104:104006. [DOI: 10.1016/j.fm.2022.104006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 01/03/2022] [Accepted: 02/17/2022] [Indexed: 02/07/2023]
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Abstract
Microscopy is often used to assist the development of cheese products, but manufacturers can benefit from a much broader application of these techniques to assess structure formation during processing and structural changes during storage. Microscopy can be used to benchmark processes, optimize process variables, and identify critical control points for process control. Microscopy can also assist the reverse engineering of desired product properties and help troubleshoot production problems to improve cheese quality. This approach can be extended using quantitative analysis, which enables further comparisons between structural features and functional measures used within industry, such as cheese meltability, shreddability, and stretchability, potentially allowing prediction and control of these properties. This review covers advances in the analysis of cheese microstructure, including new techniques, and outlines how these can be applied to understand and improve cheese manufacture.
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Affiliation(s)
- Lydia Ong
- Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Victoria, Australia; .,Dairy Innovation Hub, Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria, Australia
| | - Xu Li
- Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Victoria, Australia;
| | - Adabelle Ong
- Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Victoria, Australia; .,Dairy Innovation Hub, Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria, Australia
| | - Sally L Gras
- Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Victoria, Australia; .,Dairy Innovation Hub, Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria, Australia
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