TY - GEN
T1 - Novel Insights into Food Ingredients and Additives with Food Analytics
T2 - 8th World Conference on Smart Trends in Systems Security and Sustainability, WorldS4 2024
AU - Alketbi, Fatima
AU - Alnuaimi, Nouf
AU - Alnuaimi, Mouza
AU - Alyammahi, Hour
AU - Perilla, Natalia Rojas
AU - Ertek, Gurdal
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - This study examines European packaged foods, particularly focusing on pulse ingredients and additives coded by the EU, through food analytics. We employ an approach that combines various descriptive analytical techniques, which include multi-dimensional scaling (MDS) and data visualization. The data utilized in the research originated from a previously conducted study; however, extensive data cleaning and transformation were still needed to facilitate the analysis. Furthermore, novel types of insights were obtained for the selected foodomics dataset. Throughout the study, multiple new derived databases were created, which are described in the paper and the Supplement Document as reference for future studies in food analytics. The study aims to guide the development of healthier food products that consumers and food industry stakeholders may find appealing.
AB - This study examines European packaged foods, particularly focusing on pulse ingredients and additives coded by the EU, through food analytics. We employ an approach that combines various descriptive analytical techniques, which include multi-dimensional scaling (MDS) and data visualization. The data utilized in the research originated from a previously conducted study; however, extensive data cleaning and transformation were still needed to facilitate the analysis. Furthermore, novel types of insights were obtained for the selected foodomics dataset. Throughout the study, multiple new derived databases were created, which are described in the paper and the Supplement Document as reference for future studies in food analytics. The study aims to guide the development of healthier food products that consumers and food industry stakeholders may find appealing.
KW - Data analytics
KW - Food analytics
KW - Foodomics
UR - http://www.scopus.com/inward/record.url?scp=105003860990&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105003860990&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-9559-8_21
DO - 10.1007/978-981-97-9559-8_21
M3 - Conference contribution
AN - SCOPUS:105003860990
SN - 9789819795581
T3 - Lecture Notes in Networks and Systems
SP - 243
EP - 252
BT - Intelligent Sustainable Systems - Selected Papers of WorldS4 2024
A2 - Nagar, Atulya
A2 - Jat, Dharm Singh
A2 - Mishra, Durgesh
A2 - Joshi, Amit
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 23 July 2024 through 26 July 2024
ER -