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Wang X, Wang Z, Sun Z, Wang D, Liu F, Lin L. In Vitro and In Situ Characterization of Psychrotrophic Spoilage Bacteria Recovered from Chilled Chicken. Foods 2022; 12:foods12010095. [PMID: 36613311 PMCID: PMC9818852 DOI: 10.3390/foods12010095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/11/2022] [Accepted: 12/13/2022] [Indexed: 12/28/2022] Open
Abstract
Spoilage bacteria play a remarkable role in the spoilage of chilled chicken. In this paper, a total of 42 isolates belonging to 16 species of four genera were isolated from chilled chicken and displayed different characterizations of psychrotrophic spoilage. Six isolates of J7, J8, Q20, Q23, R1, and R9 with differences in proteolytic capabilities were further characterized for in situ spoilage potential evaluation. Pseudomonas lundensis J8 exhibited the strongest spoilage potential in situ, displaying a fast growth rate, increased pH velocity, high total volatile basic nitrogen, and high peptide content in the chicken samples. The volatile flavor analysis of chicken samples via electronic nose indicated that the content of characteristic odors representing spoilage, including sulfides, organic sulfide, and hydride, increased during storage. Additionally, the principle component and correlation analyses revealed that the spoilage odors produced by different species of bacteria were significantly different and positively correlated with the results of protease activity in vitro. The characteristics of spoilage bacteria in chilled chicken provided a comprehensive insight into microbial assessment during storage.
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Affiliation(s)
- Xinxia Wang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology, Nanjing 210014, China
- Institute of Agricultural Products Processing, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
- Key Laboratory of Cold Chain Logistics Technology for Agro-Product, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
| | - Zaitian Wang
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology, Nanjing 210014, China
- Institute of Agricultural Products Processing, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
- Key Laboratory of Cold Chain Logistics Technology for Agro-Product, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
| | - Zhilan Sun
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology, Nanjing 210014, China
- Institute of Agricultural Products Processing, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
- Key Laboratory of Cold Chain Logistics Technology for Agro-Product, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
| | - Daoying Wang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology, Nanjing 210014, China
- Institute of Agricultural Products Processing, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
- Key Laboratory of Cold Chain Logistics Technology for Agro-Product, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
| | - Fang Liu
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology, Nanjing 210014, China
- Institute of Agricultural Products Processing, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
- Key Laboratory of Cold Chain Logistics Technology for Agro-Product, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
- Correspondence: (F.L.); (L.L.)
| | - Lin Lin
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
- Correspondence: (F.L.); (L.L.)
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Inhibitory effect of acylated anthocyanins on heterocyclic amines in grilled chicken breast patty and its mechanism. Curr Res Food Sci 2022; 5:1732-1739. [PMID: 36247332 PMCID: PMC9556857 DOI: 10.1016/j.crfs.2022.09.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 08/26/2022] [Accepted: 09/10/2022] [Indexed: 11/30/2022] Open
Abstract
Heterocyclic amines (HCAs) are a group of carcinogenic substances produced in protein-rich poultry meat under high-temperature. Enzymatic acylation of anthocyanins (ACNs) is a reliable way to improve their stability, and we recently found the acylated cyaniding-3-O-glucose (cyanidin-3-6-cinnamoyl-glucoside, C3(6C)G) could effective inhibit the HCAs formation, but the underline mechanism was still obscure. Thus, the present study investigated the inhibitory effect ofC3(6C)G on HCAs formation in the food system (chicken breast) and to explore the potential mechanism. The results showed that C3(6C)G with different concentrations (0.1, 0.5 and 1.0 mg/mL) could significantly inhibit lipid oxidation and decrease the total HCAs content (P<0.05) in chicken breast meat patty after roasting. The samples with 0.1 mg/mL C3(6C)G had the best inhibition effect on total HCAs, with an inhibition rate of 28%, and the inhibition rates for IQ, Harman, TRP-P-2, PhIP and AαC were 34%, 46%, 100%, 54% and 41%, respectively. Enzymatic acylation is a reliable way to improve the stability of anthocyanins. Acylated cyaniding-3-O-glucose(C3(6C)G) could significantly decrease heterocyclic amines (HCAs) content. Variations in the precursors indicated the inhibition mechanism of C3(6C)G. C3(6C)G could alleviate lipid peroxidation during the cooking process.
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Câmara JS, Medina S, Perestrelo R. Recent Developments in the Applications of Fingerprinting Technology in the Food Field. Foods 2022; 11:foods11142006. [PMID: 35885249 PMCID: PMC9322871 DOI: 10.3390/foods11142006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 06/29/2022] [Accepted: 07/03/2022] [Indexed: 12/07/2022] Open
Abstract
In recent years, the concerns and demands by consumers for the high quality and safety for natural and processed plant-based and animal foods has increased significantly [...]
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Affiliation(s)
- José S. Câmara
- CQM—Centro de Química da Madeira, NPRG, Campus Universitário da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal;
- Departamento de Química, Faculdade de Ciências Exatas e da Engenharia, Campus Universitário da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal
- Correspondence: ; Tel.: +351-291-705-112
| | - Sonia Medina
- Department of Food Science and Technology, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS (CSIC), Campus Espinardo, 30100 Murcia, Spain;
| | - Rosa Perestrelo
- CQM—Centro de Química da Madeira, NPRG, Campus Universitário da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal;
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Wójcik W, Łukasiewicz-Mierzejewska M, Damaziak K, Bień D. Biogenic Amines in Poultry Meat and Poultry Products: Formation, Appearance, and Methods of Reduction. Animals (Basel) 2022; 12:ani12121577. [PMID: 35739911 PMCID: PMC9219487 DOI: 10.3390/ani12121577] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/14/2022] [Accepted: 06/15/2022] [Indexed: 12/03/2022] Open
Abstract
Simple Summary Meat consumption is on the rise, including poultry meat. With the storage of meat and the progressing process of food spoilage, the content of biogenic amines increases. Methods to prevent the formation of amines include: starter cultures, packaging methods, high hydrostatic pressure (HHP), ozonisation, radiation, use of essential oils, phytobiotics, and organic acids in food. The aim of this study was to compare the content of biogenic amines in poultry meat on the basis of the latest scientific reports and to present methods for preventing the formation of biogenic amines.The use of herbal extracts can not only reduce the occurrence of biogenic amines, but also improve production results and meat quality. Abstract Poultry meat is a source of many important nutrients, micro- and macro-elements, and biologically active substances. During meat storage, many physicochemical changes take place, also affecting the content of biologically active substances, including biogenic amines.They are formed as a result of three processes: decarboxylation of amino acids by microorganisms, reductive amination, and transamination of aldehydes and ketones, and as a result of activity of body tissues. Excessive consumption of biogenic amines shows toxic properties. The increasing consumption of poultry meat and the lack of established limits for biogenic amine content is a major challenge for scientists, producers, and consumer organisations, which have not yet established limits for biogenic amine content in meat (including poultry meat). Analyses of biogenic amine content in meat account for less than 10% of scientific papers, which raises the scope of the problem of limiting biogenic amines in meat. Among the methods of amine reduction are methods of destroying or reducing microorganisms’ high hydrostatic pressure (HHP), ozonisation, radiation, or the use of essential oils.
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Erdoğan B, Özdestan‐Ocak Ö. Determination the effects of pumpkin and rosehip seed oils on heterocyclic aromatic amine formation in meatballs by high‐performance liquid chromatography. J FOOD PROCESS PRES 2022. [DOI: 10.1111/jfpp.16299] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Beyza Erdoğan
- Engineering Faculty Food Engineering Department Ege University Bornova‐Izmir Turkey
| | - Özgül Özdestan‐Ocak
- Engineering Faculty Food Engineering Department Ege University Bornova‐Izmir Turkey
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Fedorov FS, Yaqin A, Krasnikov DV, Kondrashov VA, Ovchinnikov G, Kostyukevich Y, Osipenko S, Nasibulin AG. Detecting cooking state of grilled chicken by electronic nose and computer vision techniques. Food Chem 2020; 345:128747. [PMID: 33307429 DOI: 10.1016/j.foodchem.2020.128747] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 11/21/2020] [Accepted: 11/25/2020] [Indexed: 01/26/2023]
Abstract
Determination of food doneness remains a challenge for automation in the cooking industry. The complex physicochemical processes that occur during cooking require a combination of several methods for their control. Herein, we utilized an electronic nose and computer vision to check the cooking state of grilled chicken. Thermogravimetry, differential mobility analysis, and mass spectrometry were employed to deepen the fundamental insights towards the grilling process. The results indicated that an electronic nose could distinguish the odor profile of the grilled chicken, whereas computer vision could identify discoloration of the chicken. The integration of these two methods yields greater selectivity towards the qualitative determination of chicken doneness. The odor profile is matched with detected water loss, and the release of aromatic and sulfur-containing compounds during cooking. This work demonstrates the practicability of the developed technique, which we compared with a sensory evaluation, for better deconvolution of food state during cooking.
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Affiliation(s)
- Fedor S Fedorov
- Laboratory of Nanomaterials, Skolkovo Institute of Science and Technology, 3 Nobel St., 121205 Moscow, Russia.
| | - Ainul Yaqin
- Laboratory of Nanomaterials, Skolkovo Institute of Science and Technology, 3 Nobel St., 121205 Moscow, Russia.
| | - Dmitry V Krasnikov
- Laboratory of Nanomaterials, Skolkovo Institute of Science and Technology, 3 Nobel St., 121205 Moscow, Russia.
| | - Vladislav A Kondrashov
- Laboratory of Nanomaterials, Skolkovo Institute of Science and Technology, 3 Nobel St., 121205 Moscow, Russia.
| | - George Ovchinnikov
- Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, 3 Nobel Str., 121205 Moscow, Russia.
| | - Yury Kostyukevich
- Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, 3 Nobel Str., 121205 Moscow, Russia.
| | - Sergey Osipenko
- Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, 3 Nobel Str., 121205 Moscow, Russia.
| | - Albert G Nasibulin
- Laboratory of Nanomaterials, Skolkovo Institute of Science and Technology, 3 Nobel St., 121205 Moscow, Russia; Aalto University, 00076 Espoo, Finland.
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