AI Article Synopsis

  • Generation Z is becoming an influential segment in the food market, prompting the study to explore lamb shashliks made using various cooking methods to cater to their preferences.
  • The sensory evaluation involved 120 Gen Z participants assessing lamb shashliks cooked using electric heating, microwave, air frying, and traditional charcoal burning, examining their taste attributes and preferences.
  • The findings indicated specific sensory attributes that Gen Z consumers favor for each cooking method, with air-fried options being particularly appealing due to a buttery aroma, highlighting the importance of innovative approaches in developing traditional foods for younger consumers.

Article Abstract

Generation Z (Gen Z) consumers account for an increasing proportion of the food market. The aim of this study took lamb shashliks as an example and developed novel products from the perspective of cooking methods in order to develop a traditional food suitable for Gen Z consumers. The sensory characterization of electric heating air (EH), microwave heating (MH), air frying (AF), and control (traditional burning charcoal (BC) of lamb shashliks) was performed using the CATA methodology with 120 Gen Z consumers as assessors. A 9-point hedonic scale was used to evaluate Gen Z consumers' preferences for the cooking method, as well as a CATA ballot with 46 attributes which described the sensory characteristics of lamb shashliks. The machine learning algorithms were used to identify consumer preferences for different cooking methods of lamb shashliks as a function of sensory attributes and assessed the relationship between products and attributes present in the perceptual map for the degree of association. Meanwhile, sensory attributes as important variables play a relatively more important role in each cooking method. The most important variables for sensory attributes of lamb shashliks using BC are char-grilled aroma and smoky flavor. Similarly, the most important variables for AF samples are butter aroma, intensity aroma, and intensity aftertaste, the most important variables for EH samples are dry texture and hard texture, and the most important variables for MH samples are light color regarding external appearance and lumpy on chewing texture. The interviews were conducted with Gen Z consumers to investigate why they prefer innovative products-AF. Grounded theory and the social network analysis (SNA) method were utilized to explore why consumers chose AF, demonstrating that Gen Z consumers who had previously tasted AF lamb shashliks could easily perceive the buttery aroma. This study provides a theoretical and practical basis for developing lamb shashliks tailored to Gen Z consumers.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407218PMC
http://dx.doi.org/10.3390/foods11162409DOI Listing

Publication Analysis

Top Keywords

lamb shashliks
28
gen consumers
24
sensory attributes
12
variables samples
12
cata ballot
8
machine learning
8
consumers
8
traditional food
8
cooking methods
8
heating air
8

Similar Publications

Article Synopsis
  • Intelligent sensory technologies like E-noses, E-tongues, and computer vision were used to study the sensory properties of lamb shashliks prepared in different roasting methods.
  • A total of 56 volatile organic compounds (VOCs) were identified, with 21 being recognized as key flavor compounds based on their odor activity values.
  • A cross-channel sensory Transformer model effectively predicted sensory attributes and scores for lamb shashliks, achieving a high correlation in its predictions (R = 0.964), demonstrating its potential in enhancing sensory evaluation techniques.
View Article and Find Full Text PDF

A comparison was made between the traditional charcoal-grilled lamb shashliks (T) and four new methods, namely electric oven heating (D), electric grill heating (L), microwave heating (W), and air fryer treatment (K). Using E-nose, E-tongue, quantitative descriptive analysis (QDA), and HS-GC-IMS and HS-SPME-GC-MS, lamb shashliks prepared using various roasting methods were characterized. Results showed that QDA, E-nose, and E-tongue could differentiate lamb shashliks with different roasting methods.

View Article and Find Full Text PDF

HS-SPME-GC-MS, SPME-Arrow-GC × GC-TOF-MS, HS-GC-IMS, Electronic-nose, and Electronic-tongue systems were applied in a feasibility study of the flavor characterization of five commercially available Chinese grilled lamb shashliks. A total of 198 volatile organic compounds (VOCs) were identified (∼71% by GC × GC-TOF-MS). Using data fusion strategies, five predictive models were applied to the composition of VOCs and brand identification of the lamb shashliks.

View Article and Find Full Text PDF

Generation Z (Gen Z) consumers account for an increasing proportion of the food market. The aim of this study took lamb shashliks as an example and developed novel products from the perspective of cooking methods in order to develop a traditional food suitable for Gen Z consumers. The sensory characterization of electric heating air (EH), microwave heating (MH), air frying (AF), and control (traditional burning charcoal (BC) of lamb shashliks) was performed using the CATA methodology with 120 Gen Z consumers as assessors.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!