Recent advances and application of machine learning in food flavor prediction and regulation

H Ji, D Pu, W Yan, Q Zhang, M Zuo, Y Zhang - Trends in Food Science & …, 2023 - Elsevier
Background Food flavor is a key factor affecting sensory quality. Predicting and regulating
flavor can result in exceptional flavor characteristics and improve consumer preferences and …

Data-driven elucidation of flavor chemistry

X Kou, P Shi, C Gao, P Ma, H Xing, Q Ke… - Journal of Agricultural …, 2023 - ACS Publications
Flavor molecules are commonly used in the food industry to enhance product quality and
consumer experiences but are associated with potential human health risks, highlighting the …

Predicting and improving complex beer flavor through machine learning

M Schreurs, S Piampongsant, M Roncoroni… - Nature …, 2024 - nature.com
The perception and appreciation of food flavor depends on many interacting chemical
compounds and external factors, and therefore proves challenging to understand and …

Classification-based machine learning approaches to predict the taste of molecules: A review

C Rojas, D Ballabio, V Consonni… - Food Research …, 2023 - Elsevier
The capacity to discriminate safe from dangerous compounds has played an important role
in the evolution of species, including human beings. Highly evolved senses such as taste …

Prediction of bitterant and sweetener using structure-taste relationship models based on an artificial neural network

W Bo, D Qin, X Zheng, Y Wang, B Ding, Y Li… - Food Research …, 2022 - Elsevier
Identifying the taste characteristics of molecules is essential for the expansion of their
application in health foods and drugs. It is time-consuming and consumable to identify the …

A survey on computational taste predictors

M Malavolta, L Pallante, B Mavkov, F Stojceski… - … Food Research and …, 2022 - Springer
Taste is a sensory modality crucial for nutrition and survival, since it allows the discrimination
between healthy foods and toxic substances thanks to five tastes, ie, sweet, bitter, umami …

[HTML][HTML] Intense bitterness of molecules: Machine learning for expediting drug discovery

E Margulis, A Dagan-Wiener, RS Ives, S Jaffari… - Computational and …, 2021 - Elsevier
Drug development is a long, expensive and multistage process geared to achieving safe
drugs with high efficacy. A crucial prerequisite for completing the medication regimen for oral …

Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach

L Pallante, A Korfiati, L Androutsos, F Stojceski… - Scientific Reports, 2022 - nature.com
The umami taste is one of the five basic taste modalities normally linked to the protein
content in food. The implementation of fast and cost-effective tools for the prediction of the …

[HTML][HTML] A mosaic-structured framework applied in the healthy food design: insights from integrated in silico and in vitro approaches

L Azevedo, D Granato, VG Maltarollo… - Current Opinion in Food …, 2023 - Elsevier
Highlights•NC extraction interests have declined due to factors such as costs.•NCs are an
inspiration for tailoring food molecules, by computational approaches.•Food/nutritional …

Recipedb: a resource for exploring recipes

D Batra, N Diwan, U Upadhyay, JS Kalra, T Sharma… - Database, 2020 - academic.oup.com
Cooking is the act of turning nature into the culture, which has enabled the advent of the
omnivorous human diet. The cultural wisdom of processing raw ingredients into delicious …