1
|
Visalli M, Galmarini MV. Multi-attribute temporal descriptive methods in sensory analysis applied in food science: A systematic scoping review. Compr Rev Food Sci Food Saf 2024; 23:e13294. [PMID: 38284596 DOI: 10.1111/1541-4337.13294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/07/2023] [Accepted: 12/16/2023] [Indexed: 01/30/2024]
Abstract
Among descriptive sensory evaluation methods, temporal methods have a wide audience in food science because they make it possible to follow perception as close as possible to the moment when sensations are perceived. The aim of this work was to describe 30 years of research involving temporal methods by mapping the scientific literature using a systematic scoping review. Thus, 363 research articles found from a search in Scopus and Web of Science from 1991 to 2022 were included. The extracted data included information on the implementation of studies referring to the use of temporal methods (details related to subjects, products, descriptors, research design, data analysis, etc.), reasons why they were used and the conclusions they allowed to be drawn. Metadata analysis and critical appraisal were also carried out. A quantitative and qualitative synthesis of the results allowed the identification of trends in the way in which the methods were developed, refined, and disseminated. Overall, a large heterogeneity was noted in the way in which the temporal measurements were carried out and the results presented. Some critical research gaps in establishing the validity and reliability of temporal methods have also been identified. They were mostly related to the details of implementation of the methods (e.g., almost no justification for the number of consumers included in the studies, absence of report on panel repeatability) and data analysis (e.g., prevalence of use of exploratory data analysis, only 20% of studies using confirmatory analyses considering the dynamic nature of the data). These results suggest the need for general guidelines on how to implement the method, analyze and interpret data, and report the results. Thus, a template and checklist for reporting data and results were proposed to help increase the quality of future research.
Collapse
Affiliation(s)
- Michel Visalli
- Centre des Sciences du Goût et de l'Alimentation, Institut Agro Dijon, CNRS, INRAE, Université Bourgogne, Dijon, France
- INRAE, PROBE Research Infrastructure, ChemoSens Facility, Dijon, France
| | - Mara Virginia Galmarini
- CONICET, Consejo Nacional de Investigaciones Científicas y Tecnológicas, Santa Fe, Argentina
- Facultad de Ingeniería y Ciencias Agrarias, Pontificia Universidad Católica Argentina (UCA), Buenos Aires, Argentina
| |
Collapse
|
2
|
Mehta A, Kumar L, Serventi L, Schlich P, Torrico DD. Exploring the textural dynamics of dairy and plant-based yoghurts: A comprehensive study. Food Res Int 2023; 171:113058. [PMID: 37330857 DOI: 10.1016/j.foodres.2023.113058] [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: 12/25/2022] [Revised: 03/29/2023] [Accepted: 05/26/2023] [Indexed: 06/19/2023]
Abstract
The mouthfeel and texture of dairy and non-dairy yoghurts play a critical role in food acceptance and liking. The present study aimed to understand the oral perception of commercially available dairy and non-dairy yoghurts. Four dairy and four non-dairy yoghurts with different levels of protein and fat were analyzed to understand the impact of particle size, textural properties and frictional coefficient on the dynamic sensory mouthfeel characteristics measured by the temporal dominance of sensations (TDS) method. Differences in friction coefficients of dairy and non-dairy yoghurts were observed. The friction factor was lower for high-fat dairy yoghurts than for non-dairy yoghurts. The particle size d90 in yoghurts was positively related to graininess perception (r=0.81) and negatively associated with mouthfeel liking (r=-0.87) and overall liking (r=-0.80). For the TDS results, "creaminess" and "thickness" were significantly dominant for dairy yoghurts, while "melty" and "easy to dissolve" were dominant attributes for non-dairy yoghurts. Creaminess perception improves the mouthfeel liking (r=0.72) and overall liking (r=0.59) of yoghurts and is the driver of liking. The findings of this study help understand the intrinsic mouthfeel properties of commercial dairy and non-dairy yoghurts, which will provide valuable insight to product developers during the new product formulation.
Collapse
Affiliation(s)
- Annu Mehta
- Department of Wine, Food and Molecular Biosciences, Lincoln University, Lincoln 7647, New Zealand
| | - Lokesh Kumar
- Department of Wine, Food and Molecular Biosciences, Lincoln University, Lincoln 7647, New Zealand.
| | - Luca Serventi
- Department of Wine, Food and Molecular Biosciences, Lincoln University, Lincoln 7647, New Zealand
| | - Pascal Schlich
- Centre des Sciences du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne Franche-Comté, F-21000 Dijon, France
| | - Damir Dennis Torrico
- Department of Wine, Food and Molecular Biosciences, Lincoln University, Lincoln 7647, New Zealand.
| |
Collapse
|
3
|
Measuring the effectiveness of the temporal dominance of sensations technique to investigate the dynamic perception of oral nutritional supplements by older adults. Food Qual Prefer 2022. [DOI: 10.1016/j.foodqual.2022.104720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
4
|
Sethupathy P, Sivakamasundari SK, Moses JA, Anandharamakrishnan C. Effect of varietal differences on the oral processing behavior and bolus properties of cooked rice. INTERNATIONAL JOURNAL OF FOOD ENGINEERING 2020. [DOI: 10.1515/ijfe-2020-0097] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Abstract
This research explored the impact of in-vivo oral processing on the bolus properties of three rice varieties [white ponni (WP), mappillai samba (MS), and basmati (B)] that were selected based on variations in the amylose content. The amylose and dry matter content of the WP, MS, and B were 4.67, 7.48, and 13.8(%) and 69.57, 60.09, and 70.47(%), respectively. Mastication features (bite-size, chewing time, and chew cycles), bolus properties (particle size distribution, bolus moisture content, rheology, and starch hydrolysis), time-dependent bolus features (rate of incorporation of saliva and saliva content) and, temporal dominance of sensation (TDS) of cooked rice were studied. Results confirmed the significance of oral processing on various bolus characteristics. Moreover, a pronounced correlation between the morphology of rice varieties and mastication features was observed. The structure and textural characteristics of the different rice varieties (MS, WP, B) showed considerable effects on the consumption time (25.7 s, 22.2 s, 17.8 s) and chewing cycles (34, 31, 23). Rate of saliva incorporation was relatively lesser for MS as compared with WP and B. Solid loss followed the trends WP > MS > B. The total starch content of cooked rice boluseswas WP (82.69 ± 0.01%), MS (79.49 ± 0.01%), and B (71.74 ± 0.01%). Further, texture – TDS and flavor – TDS of all varieties were found to be strongly dependent on textural attributes, composition, and oro-sensory perception. This study provides a significant understanding of the oral processing behavior of rice and its bolus, considering the effect of variations in amylose content, texture, and morphology.
Collapse
Affiliation(s)
- Priyanka Sethupathy
- Computational Modeling and Nanoscale Processing Unit , Indian Institute of Food Processing Technology (IIFPT), Ministry of Food Processing Industries, Government of India , Thanjavur , 613005, Tamil Nadu , India
| | - S. K. Sivakamasundari
- Computational Modeling and Nanoscale Processing Unit , Indian Institute of Food Processing Technology (IIFPT), Ministry of Food Processing Industries, Government of India , Thanjavur , 613005, Tamil Nadu , India
| | - Jeyan. A. Moses
- Computational Modeling and Nanoscale Processing Unit , Indian Institute of Food Processing Technology (IIFPT), Ministry of Food Processing Industries, Government of India , Thanjavur , 613005, Tamil Nadu , India
| | - Chinnaswamy Anandharamakrishnan
- Computational Modeling and Nanoscale Processing Unit , Indian Institute of Food Processing Technology (IIFPT), Ministry of Food Processing Industries, Government of India , Thanjavur , 613005, Tamil Nadu , India
| |
Collapse
|
5
|
Impact of the content and size of NaCl on dynamic sensory profile and instrumental texture of beef burgers. Meat Sci 2020; 161:107992. [DOI: 10.1016/j.meatsci.2019.107992] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 10/25/2019] [Accepted: 10/25/2019] [Indexed: 11/21/2022]
|