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Eichinger J, Reiche AM, Münger A, Eggerschwiler L, Pimentel G, Fuchsmann P, Huber K, Dohme-Meier F. Usability of volatile organic compounds from exhaled breath compared to those from ruminal fluid, serum, urine, and milk to identify diet-specific metabolite profiles in lactating dairy cows. J Dairy Sci 2024:S0022-0302(24)01275-X. [PMID: 39521417 DOI: 10.3168/jds.2023-24579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 10/15/2024] [Indexed: 11/16/2024]
Abstract
To investigate dietary influences on the volatilome, the volatile subcategory of the metabolome, we performed a comparative untargeted volatilome analysis of exhaled breath, ruminal fluid, serum, urine, and milk from lactating Holstein cows fed different diets. Thirty-two cows (79.4 ± 31.3 d in milk [DIM], 30.6 ± 4.83 kg milk/d) were assigned to 4 diets. The experiment lasted 16 weeks. Throughout the experiment, half of the animals were fed a hay-based diet (HAY; n = 16), and the other half were fed a silage-based diet (SIL; n = 16). In experimental wk 5 to 12, half of the animals in each group received the control concentrate (CON), and the other half was fed with the CON supplemented with a blend of essential oils (EXP). We hypothesized that the basal diet and the essential oils influence the VOC profiles of the cows through potential changes in ruminal fermentation, digestion, and metabolism (hypothesis 1). Furthermore, we hypothesized that the potential effects of essential oils would have a delayed onset and a carryover effect (hypothesis 2). Every 4 experimental weeks, i.e., in W4, W8, W12 and W16, samples of exhaled breath, ruminal fluid, serum, urine, milk, and feed were collected for dynamic headspace extraction and gas chromatographic analysis of volatile organic compounds (VOC) in their gaseous phase. Milk yield, milk composition, body weight, and feed intake were recorded regularly. Linear mixed models and multivariate and univariate data analyses were performed. The total DMI and basal diet intake was similar between HAY and SIL cows. However, SIL cows consumed less of the concentrate, neutral detergent fiber, and water-soluble carbohydrates (WSC) and more starch than HAY cows. The SIL cows had a higher milk production than the HAY cows. No effect was found regarding the concentrate type on feed intake or milk production. Irrespective of diet, 2,957 VOC were detected in the gaseous phase of serum; 2,771 in exhaled breath; 1,016 in urine; 1,001 in milk; and 921 in ruminal fluid. Across the experimental wk 4, 8, 12 and 16, the basal diet altered the VOC profiles of ruminal fluid, urine, and exhaled breath but not those of serum and milk. The concentrate type affected only the VOC profiles of the exhaled breath. Most diet-influenced VOC in the affected biological matrices were identified as dietary components. The experimental week influenced the VOC profiles of all matrices, especially those of exhaled breath. The VOC profile of exhaled breath strongly correlated with that of urine, followed by that of ruminal fluid, milk, and serum. This study provides the first description of diet- and time-specific VOC profiles from the biological matrices of dairy cows. The identified discriminatory VOC seem suitable as markers to discriminate between HAY and SIL cows. Exhaled breath may be a promising, sensitive, and less invasive tool to follow diet- and time-related metabolic changes.
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Affiliation(s)
- J Eichinger
- Ruminant Nutrition and Emissions, Agroscope, Posieux, Switzerland; University of Hohenheim, Institute of Animal Science, Stuttgart, Germany
| | - A-M Reiche
- Ruminant Nutrition and Emissions, Agroscope, Posieux, Switzerland
| | - A Münger
- Ruminant Nutrition and Emissions, Agroscope, Posieux, Switzerland
| | | | - G Pimentel
- Feed Chemistry, Agroscope, Bern, Switzerland
| | - P Fuchsmann
- Human Nutrition, Sensory Analysis, and Flavor, Agroscope, Bern, Switzerland
| | - K Huber
- University of Hohenheim, Institute of Animal Science, Stuttgart, Germany
| | - F Dohme-Meier
- Ruminant Nutrition and Emissions, Agroscope, Posieux, Switzerland.
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Gonzalez-Estanol K, Pedrotti M, Fontova-Cerdà M, Khomenko I, Biasioli F, Stieger M. Influence of Chewing Rate and Food Composition on in Vivo Aroma Release and Perception of Composite Foods. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:6723-6734. [PMID: 38478988 PMCID: PMC10979429 DOI: 10.1021/acs.jafc.3c09346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 02/22/2024] [Accepted: 02/27/2024] [Indexed: 03/28/2024]
Abstract
This study investigated the effects of chewing rate and food composition on in vivo aroma release and perception of composite foods. Bread or sponge cake paired with varying sugar content and viscosity strawberry jams, spiked with citral and limonene, were examined. In-nose release was characterized using Proton-Transfer-Reaction-Time-of-Flight-Mass-Spectrometry (PTR-ToF-MS). Simultaneously, Time-Intensity (TI) profiling assessed citrus aroma perception (n = 8, triplicate) while fast and slow chewing protocols were applied (fast: 1.33 chews/s; slow 0.66 chews/s; each for 25 s). Chewing rate did not significantly impact the area under the curve and maximum intensity of in vivo citral and limonene release and citrus aroma perception. Faster chewing rates significantly decreased the time to reach maximum intensity of aroma release (p < 0.05) and citrus aroma perception (p < 0.001). Faster chewing rates probably accelerated structural breakdown, inducing an earlier aroma release and perception without affecting aroma intensity. Adding carriers to jams significantly (p < 0.05) increased aroma release, while perceived citrus aroma intensity significantly (p < 0.05) decreased regardless of chewing rate. In conclusion, chewing rate affects the temporality of in vivo aroma release and perception without affecting its intensity, and carrier addition increases in vivo aroma release while diminishing aroma perception.
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Affiliation(s)
- Karina Gonzalez-Estanol
- Research
and Innovation Centre, Edmund Mach Foundation, 38098 San Michele
All’Adige (TN), Italy
- Food
Quality and Design, Wageningen University, 6708 WG Wageningen, The Netherlands
- Department
of Agri-Food and Environmental Sciences, Trento University, I-38123 Trento, Italy
| | - Michele Pedrotti
- Research
and Innovation Centre, Edmund Mach Foundation, 38098 San Michele
All’Adige (TN), Italy
| | - Mònica Fontova-Cerdà
- Food
Quality and Design, Wageningen University, 6708 WG Wageningen, The Netherlands
| | - Iuliia Khomenko
- Research
and Innovation Centre, Edmund Mach Foundation, 38098 San Michele
All’Adige (TN), Italy
| | - Franco Biasioli
- Research
and Innovation Centre, Edmund Mach Foundation, 38098 San Michele
All’Adige (TN), Italy
| | - Markus Stieger
- Food
Quality and Design, Wageningen University, 6708 WG Wageningen, The Netherlands
- Division
of Human Nutrition and Health, Wageningen
University, 6708 WE Wageningen, The Netherlands
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3
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Gonzalez-Estanol K, Khomenko I, Cliceri D, Biasioli F, Stieger M. In vivo aroma release and perception of composite foods using nose space PTR–ToF–MS analysis with Temporal-Check-All-That-Apply. Food Res Int 2023; 167:112726. [PMID: 37087281 DOI: 10.1016/j.foodres.2023.112726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/06/2023] [Accepted: 03/16/2023] [Indexed: 03/29/2023]
Abstract
In vivo aroma release and perception of complex food matrices have been underexplored. The aims of this study were to investigate the effects of (i) fat and sugar content of chocolate-hazelnut spreads on in vivo aroma release and perception and (ii) carrier addition (bread, wafer) on in vivo aroma release and perception of chocolate-hazelnut spread using dynamic nose space analysis (PTR-ToF-MS) and dynamic sensory analysis (TCATA). Carriers were combined with spreads varying in fat and sugar content and were spiked with five volatile organic compounds (benzaldehyde, filbertone, 2-methylpyrazine, delta-dodecalactone, isovaleraldehyde). TCATA profiles from a consumer panel without in vivo nose space analysis (n = 72) and a trained panel performing in vivo nose space analysis (n = 8, triplicate) were compared. TCATA profiles of the spread-carrier combinations obtained by both panels showed similarly that attributes related to the carriers were perceived at the beginning of consumption, whereas attributes related to the spreads were perceived after swallowing. Significant (p < 0.05) and small differences were observed for the attributes cocoa, creamy, milky, sticky and toffee between both panels. In the evaluated reformulation range, fat and sugar content of chocolate-hazelnut spreads had only a limited effect on in vivo aroma release and perception. In contrast, addition of carriers strongly affected in vivo aroma release and perception for all target molecules. The addition of carriers to spreads generally increased aroma release (duration and intensity of aroma release) and decreased aroma perception. The addition of carriers generally reduced the time to reach maximum intensity compared to when spreads were eaten alone for the five volatile organic compounds while perception decreased. We conclude that the strong effect of carrier addition on in vivo aroma release and perception of chocolate-hazelnut spreads highlights the importance of investigating toppings/spreads accompanied with carriers rather than in isolation.
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Affiliation(s)
- Karina Gonzalez-Estanol
- Research and Innovation Centre, Edmund Mach Foundation, San Michele All'Adige (TN), Italy; Food Quality and Design, Wageningen University, Wageningen, The Netherlands; Center of Agri-food and Environmental Sciences, Trento University, San Michele All'Adige (TN), Italy.
| | - Iuliia Khomenko
- Research and Innovation Centre, Edmund Mach Foundation, San Michele All'Adige (TN), Italy
| | - Danny Cliceri
- Research and Innovation Centre, Edmund Mach Foundation, San Michele All'Adige (TN), Italy; Center of Agri-food and Environmental Sciences, Trento University, San Michele All'Adige (TN), Italy
| | - Franco Biasioli
- Research and Innovation Centre, Edmund Mach Foundation, San Michele All'Adige (TN), Italy
| | - Markus Stieger
- Food Quality and Design, Wageningen University, Wageningen, The Netherlands; Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
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Using OPLS-DA to Fingerprint Key Free Amino and Fatty Acids in Understanding the Influence of High Pressure Processing in New Zealand Clams. Foods 2023; 12:foods12061162. [PMID: 36981089 PMCID: PMC10048364 DOI: 10.3390/foods12061162] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 02/23/2023] [Accepted: 03/01/2023] [Indexed: 03/12/2023] Open
Abstract
This study investigated the effect of high pressure processing (HPP) on the fatty acids and amino acids content in New Zealand Diamond Shell (Spisula aequilatera), Storm Shell (Mactra murchisoni), and Tua Tua (Paphies donacina) clams. The clam samples were subjected to HPP with varying levels of pressure (100, 200, 300, 400, 500, and 600 MPa) and holding times (5 and 600 s) at 20 °C. Partial Least Squares Discriminant Analysis (PLS-DA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) were deployed to fingerprint the discriminating amino and fatty acids post-HPP processing while considering their inherent biological variation. Aspartic acid (ASP), isoleucine (ILE), leucine (LEU), lysine (LYS), methionine (MET), serine (SER), threonine (THR), and valine (VAL) were identified as discriminating amino acids, while C18:0, C22:1n9, C24:0, and C25:5n3 were identified as discriminating fatty acids. These amino and fatty acids were then subjected to mixed model ANOVA. Mixed model ANOVA was employed to investigate the influence of HPP pressure and holding times on amino acids and fatty acids in New Zealand clams. A significant effect of pressure levels was reported for all three clam species for both amino and fatty acids composition. Additionally, holding time was a significant factor that mainly influenced amino acid content. butnot fatty acids, suggesting that hydrostatic pressure hardly causes hydrolysis of triglycerides. This study demonstrates the applicability of OPLS-DA in identifying the key discriminating chemical components prior to traditional ANOVA analysis. Results from this research indicate that lower pressure and shorter holding time (100 MPa and 5 s) resulted in the least changes in amino and fatty acids content of clams.
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Boehm MW, Nicholson RA, Baier SK. Designing plant-based analogues of animal-derived foods: a review of research ranging from manufacturing to oral processing. Curr Opin Food Sci 2022. [DOI: 10.1016/j.cofs.2022.100982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Asimi S, Xin R, Min Z, Tuersuntuoheti T, Sixuan L, Zhenhua W, Shan L, Ziyuan W. Characterization of japonica rice aroma profiles during in vitro mastication by gas chromatography-ion mobility spectrometry (GC-IMS) and electronic nose technology. INTERNATIONAL JOURNAL OF FOOD ENGINEERING 2022. [DOI: 10.1515/ijfe-2021-0326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
By simulating the aroma changes during in vitro mastication, we can better understand the aroma changes during rice eating, which is helpful in studying people’s sensory preferences. To investigate the rice aroma released during the in vitro mastication, the present study analyzed rice bolus’s odor fingerprints in vitro mastication using electronic nose and gas chromatography-ion mobility spectrometry (GC-IMS). The electronic nose analysis results showed significant differences in the flavor of japonica rice in vitro mastication. In addition, GC-IMS determined 30 volatile organic compounds (VOCs) during rice in vitro mastication. Among these compounds, the most important content was aldehydes, followed by ketones and alcohols. Although the concentration of various chemicals was relatively high in cooked rice, most compounds decreased after mastication. The concentration of propan-2-ol, ethanol, and methanol increased after mastication. Multivariate data analysis showed that isoamyl sovalerate, pentanal, hexanal, acetone, hexanal, and limonene were the main VOCs of japonica rice during in vitro mastication. GC-IMS and e-nose analyses are complementary and recommended for using the two techniques to achieve the VOCs’ rapid and comprehensive detection during in vitro mastication. Results from this study allowed us to understand rice flavor during oral processing.
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Affiliation(s)
- Sailimuhan Asimi
- Beijing Advanced Innovation Center for Food Nutrition and Human Health , Beijing Technology and Business University , Beijing 100048 , China
- Beijing Engineering and Technology Research Center of Food Additives , Beijing Technology and Business University , Beijing 100048 , China
| | - Ren Xin
- Beijing Advanced Innovation Center for Food Nutrition and Human Health , Beijing Technology and Business University , Beijing 100048 , China
- Beijing Engineering and Technology Research Center of Food Additives , Beijing Technology and Business University , Beijing 100048 , China
| | - Zhang Min
- Beijing Advanced Innovation Center for Food Nutrition and Human Health , Beijing Technology and Business University , Beijing 100048 , China
- Beijing Engineering and Technology Research Center of Food Additives , Beijing Technology and Business University , Beijing 100048 , China
| | - Tuohetisayipu Tuersuntuoheti
- Beijing Advanced Innovation Center for Food Nutrition and Human Health , Beijing Technology and Business University , Beijing 100048 , China
- Beijing Engineering and Technology Research Center of Food Additives , Beijing Technology and Business University , Beijing 100048 , China
| | - Li Sixuan
- Beijing Advanced Innovation Center for Food Nutrition and Human Health , Beijing Technology and Business University , Beijing 100048 , China
- Beijing Engineering and Technology Research Center of Food Additives , Beijing Technology and Business University , Beijing 100048 , China
| | - Wang Zhenhua
- Beijing Advanced Innovation Center for Food Nutrition and Human Health , Beijing Technology and Business University , Beijing 100048 , China
- Beijing Engineering and Technology Research Center of Food Additives , Beijing Technology and Business University , Beijing 100048 , China
| | - Liang Shan
- Beijing Advanced Innovation Center for Food Nutrition and Human Health , Beijing Technology and Business University , Beijing 100048 , China
- Beijing Engineering and Technology Research Center of Food Additives , Beijing Technology and Business University , Beijing 100048 , China
| | - Wang Ziyuan
- Beijing Advanced Innovation Center for Food Nutrition and Human Health , Beijing Technology and Business University , Beijing 100048 , China
- Beijing Engineering and Technology Research Center of Food Additives , Beijing Technology and Business University , Beijing 100048 , China
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7
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Pu D, Shan Y, Wang J, Sun B, Xu Y, Zhang W, Zhang Y. Recent trends in aroma release and perception during food oral processing: A review. Crit Rev Food Sci Nutr 2022; 64:3441-3457. [PMID: 36218375 DOI: 10.1080/10408398.2022.2132209] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The dynamic and complex peculiarities of the oral environment present several challenges for controlling the aroma release during food consumption. They also pose higher requirements for designing food with better sensory quality. This requires a comprehensive understanding of the basic rules of aroma transmission and aroma perception during food oral processing and its behind mechanism. This review summarized the latest developments in aroma release from food to retronasal cavity, aroma release and delivery influencing factors, aroma perception mechanisms. The individual variance is the most important factor affecting aroma release and perception. Therefore, the intelligent chewing simulator is the key to establish a standard analytical method. The key odorants perceived from the retronasal cavity should be given more attention during food oral processing. Identification of the olfactory receptor activated by specific odorants and its binding mechanisms are still the bottleneck. Electrophysiology and image technology are the new noninvasive technologies in elucidating the brain signals among multisensory, which can fill the gap between aroma perception and other senses. Moreover, it is necessary to develop a new approach to integrate the relationship among aroma binding parameters, aroma concentration, aroma attributes and cross-modal reactions to make the aroma prediction model more accurate.
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Affiliation(s)
- Dandan Pu
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University (BTBU), Beijing, China
| | - Yimeng Shan
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University (BTBU), Beijing, China
| | - Juan Wang
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University (BTBU), Beijing, China
| | - Baoguo Sun
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University (BTBU), Beijing, China
| | - Youqiang Xu
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University (BTBU), Beijing, China
| | - Wangang Zhang
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Yuyu Zhang
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University (BTBU), Beijing, China
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An Y, Xiong S, Qian Y, Qian MC. In vivo and in vitro aroma release in surimi gel with different cross-linking degrees by proton transfer reaction-mass spectrometry. Food Chem 2022; 373:131502. [PMID: 34753076 DOI: 10.1016/j.foodchem.2021.131502] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/24/2021] [Accepted: 10/27/2021] [Indexed: 12/16/2022]
Abstract
Transglutaminase-induced cross-linking has been suggested as a strategy to govern surimi gels' texture. To achieve the aroma regulation of surimi gels by cross-links, surimi gels were treated with microbial transglutaminase to get different cross-linking degrees, and in vivo and in vitro aroma releases were investigated by a proton transfer reaction-mass spectrometry (PTR-MS). Seventeen compounds in surimi gels were detected by PTR-MS. The in vitro release curves of odorants were fitted by a pseudo-first-order kinetics model. As the cross-links increased, most aroma compounds' released concentrations and release rates decreased first, and then increased significantly (P < 0.05) when the cross-linking degree exceed around 35.4%, negatively related to the springiness and the gel strength of surimi gels. However, the in vivo aroma release results showed that the harder surimi gel released fewer aroma compounds. In conclusion, texture affected by cross-links could be a strategy to control the aroma release of surimi gels.
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Affiliation(s)
- Yueqi An
- College of Food Science and Technology/National R&D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Huazhong Agricultural University, Wuhan, Hubei Province 430070, PR China; Department of Food Science and Technology, Oregon State University, Corvallis, OR 97331, United States
| | - Shanbai Xiong
- College of Food Science and Technology/National R&D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Huazhong Agricultural University, Wuhan, Hubei Province 430070, PR China
| | - Yanping Qian
- Department of Food Science and Technology, Oregon State University, Corvallis, OR 97331, United States
| | - Michael C Qian
- Department of Food Science and Technology, Oregon State University, Corvallis, OR 97331, United States.
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10
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Bioconversion of Glycosidic Precursors from Sour Guava ( Psidium friedrichsthalianum Nied.) Fruit by the Oral Microbiota into Odor-Active Volatile Compounds. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27041269. [PMID: 35209057 PMCID: PMC8875828 DOI: 10.3390/molecules27041269] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/23/2022] [Accepted: 02/10/2022] [Indexed: 11/16/2022]
Abstract
The ability of the human oral microbiota to hydrolyze the glycosidic aroma precursor extract isolated from sour guava (Psidium friedrichsthalianum Nied.) fruits was studied herein. The glycosidic extract (GP) was incubated with a mixture of the oral microbiota isolated from three individuals’ saliva to evaluate the hydrolytic capacity of oral bacteria in the generation of odor-active compounds. The oral microbiota was able to release 1-hexanol from GP, under both aerobic and anaerobic conditions. Additionally, the aroma precursor extracts showed a decrease in the growth of harmful oral bacteria (Streptococcus and Actinomyces). This effect can be considered beneficial to human health because these bacteria have been related to different diseases of the bucco-respiratory tract.
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11
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Thermal, High Pressure, and Ultrasound Inactivation of Various Fruit Cultivars’ Polyphenol Oxidase: Kinetic Inactivation Models and Estimation of Treatment Energy Requirement. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12041864] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Polyphenol oxidase (PPO) catalyses the browning reaction during fruit processing and storage. It is considered a threat to clean labels and minimally processed fruit products. Unwanted changes in fruits’ appearance and quality represent a cost to the industry. High pressure and ultrasound, in addition to thermal treatment, are effective in reducing PPO activity and producing high-quality products. PPO from different fruit cultivars behaves differently when submitted to different treatments. A systematic review was conducted, where treatment parameters, PPO inactivation data (≥80% inactivation), and kinetic inactivation parameters (rate constant (k), activation energy (Ea), D-value, and z-value) by different treatments were collected. Additionally, the estimated energy requirements for the inactivation of PPO (≥80%) by different treatments were calculated and compared. Resistance to various treatments varies between fruit cultivars. For the same temperature, the inactivation of PPO by ultrasound combined with heat is more effective than thermal treatment alone, and the high pressure combined thermal process. The majority of the thermal, HPP, and ultrasound inactivation of PPO in fruits followed first-order behaviour. Some fruit cultivars, however, showed biphasic inactivation behaviour. The estimated specific energy requirements calculated based on the mass of processed fruit sample to inactivate ≥80% polyphenol oxidase for the thermal process was 87 to 255 kJ/kg, while for high pressure processing it was 139 to 269 kJ/kg and for ultrasound it was 780 to 10,814 kJ/kg.
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12
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Huang XH, Luo Y, Zhu XH, Ayed C, Fu BS, Dong XP, Fisk I, Qin L. Dynamic release and perception of key odorants in grilled eel during chewing. Food Chem 2022; 378:132073. [PMID: 35030462 DOI: 10.1016/j.foodchem.2022.132073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/22/2021] [Accepted: 01/03/2022] [Indexed: 11/27/2022]
Abstract
The release mechanism of odorants in the oral cavity during consumption directly affects sensory attributes, consumers' preferences, and ultimately purchase intent. Targets was set to monitor in real-time the key odorants released from grilled eel during mastication via an atmospheric pressure chemical ionization mass spectrometry (APCI-MS) connected with a nose interface. The release and perception of odorants during mastication were divided into three distinct phases. Dimethyl sulfide was the main odorant in the first stage. The release and perception of fishy aromas were predominant in the middle and last stages of mastication contributed by trimethylamine, 1-penten-3-ol, and 2-methyl-1-butanol. Chewing behavior experiments suggested that extending the chewing period to >20 s and having a chewing frequency of 2 cycles/s could enhance the aroma delivery of grilled eel and optimize the consumer experience. Consequently, the results explained the relationship between aroma release and the optimal chewing behavior for grilled eel consumption.
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Affiliation(s)
- Xu-Hui Huang
- School of Food Science and Technology, National Engineering Research Center of Seafood, Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
| | - Yong Luo
- Department of Otolaryngology, Union Jiangnan Hospital, Wuhan, 430200, China
| | | | - Charfedinne Ayed
- School of Biosciences, University of Nottingham, Nottingham LE12 5RD, United Kingdom
| | - Bao-Shang Fu
- School of Food Science and Technology, National Engineering Research Center of Seafood, Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
| | - Xiu-Ping Dong
- School of Food Science and Technology, National Engineering Research Center of Seafood, Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
| | - Ian Fisk
- School of Biosciences, University of Nottingham, Nottingham LE12 5RD, United Kingdom; The University of Adelaide, North Terrace, Adelaide, South Australia, Australia.
| | - Lei Qin
- School of Food Science and Technology, National Engineering Research Center of Seafood, Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China.
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Asimi S, Xin R, Min Z, Dongxiao L, Sohail A, Meng L, Jie P, Zhenhua W, Shan L, Ziyuan W. Effect of oral processing on texture, rheology properties, and microstructure of three rice varieties. J FOOD PROCESS ENG 2021. [DOI: 10.1111/jfpe.13942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Sailimuhan Asimi
- Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China
- Beijing Engineering and Technology Research Center of Food Additives Beijing Technology and Business University Beijing China
| | - Ren Xin
- Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China
- Beijing Engineering and Technology Research Center of Food Additives Beijing Technology and Business University Beijing China
| | - Zhang Min
- Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China
- Beijing Engineering and Technology Research Center of Food Additives Beijing Technology and Business University Beijing China
| | - Liu Dongxiao
- Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China
- Beijing Engineering and Technology Research Center of Food Additives Beijing Technology and Business University Beijing China
| | - Amjad Sohail
- Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China
- Beijing Engineering and Technology Research Center of Food Additives Beijing Technology and Business University Beijing China
| | - Li Meng
- Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China
- Beijing Engineering and Technology Research Center of Food Additives Beijing Technology and Business University Beijing China
| | - Peng Jie
- Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China
- Beijing Engineering and Technology Research Center of Food Additives Beijing Technology and Business University Beijing China
| | - Wang Zhenhua
- Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China
- Beijing Engineering and Technology Research Center of Food Additives Beijing Technology and Business University Beijing China
| | - Liang Shan
- Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China
- Beijing Engineering and Technology Research Center of Food Additives Beijing Technology and Business University Beijing China
| | - Wang Ziyuan
- Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China
- Beijing Engineering and Technology Research Center of Food Additives Beijing Technology and Business University Beijing China
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Ming JLK, Anuar MS, How MS, Noor SBM, Abdullah Z, Taip FS. Development of an Artificial Neural Network Utilizing Particle Swarm Optimization for Modeling the Spray Drying of Coconut Milk. Foods 2021; 10:2708. [PMID: 34828988 PMCID: PMC8623481 DOI: 10.3390/foods10112708] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/31/2021] [Accepted: 11/01/2021] [Indexed: 11/16/2022] Open
Abstract
Spray drying techniques are one of the methods to preserve and extend the shelf-life of coconut milk. The objective of this research was to create a particle swarm optimization-enhanced artificial neural network (PSO-ANN) that could predict the coconut milk spray drying process. The parameters for PSO tuning were selected as the number of particles and acceleration constant, respectively, for both global and personal best using a 2k factorial design. The optimal PSO settings were recorded as global best, C1 = 4.0; personal best, C2 = 0; and number of particles = 100. When comparing different types of spray drying models, PSO-ANN had an MSE value of 0.077, GA-ANN had an MSE of 0.033, while ANN had an MSE of 0.082. Sensitivity analysis was conducted on all three models to evaluate the significance level of each parameter on the model, and it was discovered that inlet temperature had the most significant influence on the model performance. In conclusion, the PSO-ANN was found to be more effective than ANN but less effective than GA-ANN in predicting the quality of coconut milk powder.
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Affiliation(s)
- Jesse Lee Kar Ming
- Department of Process and Food Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia; (J.L.K.M.); (M.S.A.); (M.S.H.)
| | - Mohd Shamsul Anuar
- Department of Process and Food Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia; (J.L.K.M.); (M.S.A.); (M.S.H.)
| | - Muhammad Syahmeer How
- Department of Process and Food Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia; (J.L.K.M.); (M.S.A.); (M.S.H.)
| | - Samsul Bahari Mohd Noor
- Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia;
| | - Zalizawati Abdullah
- School of Chemical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam 40450, Malaysia;
| | - Farah Saleena Taip
- Department of Process and Food Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia; (J.L.K.M.); (M.S.A.); (M.S.H.)
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