Flavor engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics DOI Creative Commons
Luciano Paganucci de Queiroz, Idelfonso B. R. Nogueira, Ana M. Ribeiro

et al.

Food Research International, Journal Year: 2024, Volume and Issue: 196, P. 115100 - 115100

Published: Sept. 17, 2024

This state-of-the-art review comprehensively explores flavor development, spanning biological foundations, analytical methodologies, and the socio-cultural impact. It incorporates an industrial perspective examines role of artificial intelligence (AI) in science. Initiating with intricacies flavor, delves into interplay taste, aroma, texture rooted sensory experiences. Advances mathematical modeling techniques open avenues for interdisciplinary collaboration technological innovation, addressing variations perception. The impact extends beyond gustatory experiences, influencing economics, society, nutrition, health, innovation. collective understanding deepens insight dynamic between olfactory elements within cultural landscapes, emphasizing how experiences are woven human culture heritage. evolution food analysis, encompassing instrumental a combination both, integration techniques, signifies progression and, promising advancements precision, efficiency, innovation industry. comprehensive involved analyzing key aspects engineering related sectors. Articles book chapters on these topics were collected using metadata analysis. data this analysis was extracted from major online databases, including Scopus, Web Science, ScienceDirect.

Language: Английский

Metabolomics-centered mining of plant metabolic diversity and function: Past decade and future perspectives DOI Creative Commons
Shuangqian Shen, Chuansong Zhan, Chenkun Yang

et al.

Molecular Plant, Journal Year: 2022, Volume and Issue: 16(1), P. 43 - 63

Published: Sept. 16, 2022

Language: Английский

Citations

151
Recent advances and application of machine learning in food flavor prediction and regulation DOI
Huizhuo Ji, Dandan Pu, Wenjing Yan

et al.

Trends in Food Science & Technology, Journal Year: 2023, Volume and Issue: 138, P. 738 - 751

Published: July 22, 2023

Language: Английский

Citations

87
The emerging role of nanotechnology in plant genetic engineering DOI
Henry Squire,

Sophia Tomatz,

Elizabeth Voke

et al.

Nature Reviews Bioengineering, Journal Year: 2023, Volume and Issue: 1(5), P. 314 - 328

Published: Feb. 22, 2023

Language: Английский

Citations

57
Predicting and improving complex beer flavor through machine learning DOI Creative Commons
Michiel Schreurs,

Supinya Piampongsant,

Miguel Roncoroni

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: March 26, 2024

Abstract The perception and appreciation of food flavor depends on many interacting chemical compounds external factors, therefore proves challenging to understand predict. Here, we combine extensive sensory analyses 250 different beers train machine learning models that allow predicting consumer appreciation. For each beer, measure over 200 properties, perform quantitative descriptive analysis with a trained tasting panel map data from 180,000 reviews 10 models. best-performing algorithm, Gradient Boosting, yields significantly outperform predictions based conventional statistics accurately predict complex features profiles. Model dissection allows identifying specific unexpected as drivers beer Adding these results in variants commercial alcoholic non-alcoholic improved Together, our study reveals how big uncover links between chemistry, perception, lays the foundation develop novel, tailored foods superior flavors.

Language: Английский

Citations

43
Metabolomics and chemometrics: The next-generation analytical toolkit for the evaluation of food quality and authenticity DOI Creative Commons
Pascual García-Pérez, Pier Paolo Becchi, Leilei Zhang

et al.

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 147, P. 104481 - 104481

Published: April 7, 2024

The advances in NMR and mass spectrometry metabolomics allows a comprehensive profiling of foods, potentially covering geographical origin, authenticity, quality integrity issues. However, mining specific effects within the corresponding datasets is challenging due to presence set interacting factors that finally determine signatures. This review provides an overview different approaches used food then focusing on chemometric for data interpretation. In particular, interpretation hierarchically presented, starting from unsupervised (PCA, hierarchical clusters) supervised multivariate statistics like OPLS AMOPLS multiblock ANOVA discriminant approaches. Finally, machine learning Artificial Neural Networks are discussed as novel emerging tool support Tailored advisable, rather than unique solutions, with naively provide qualitative recognition patterns, modelling markers identification. Nonetheless, approach able interpretate complex

Language: Английский

Citations

26
Machine learning driven benchtop Vis/NIR spectroscopy for online detection of hybrid citrus quality DOI
Tao Jiang, Wei Zuo, Jianjun Ding

et al.

Food Research International, Journal Year: 2025, Volume and Issue: 201, P. 115617 - 115617

Published: Jan. 2, 2025

Language: Английский

Citations

2
Dissecting postharvest chilling injury through biotechnology DOI Creative Commons
Karin Albornoz, Jiaqi Zhou, Jingwei Yu

et al.

Current Opinion in Biotechnology, Journal Year: 2022, Volume and Issue: 78, P. 102790 - 102790

Published: Sept. 15, 2022

Language: Английский

Citations

45
Terpene volatiles mediates the chemical basis of blueberry aroma and consumer acceptability DOI
Luís Felipe V. Ferrão, Haley Sater,

P. M. Lyrene

et al.

Food Research International, Journal Year: 2022, Volume and Issue: 158, P. 111468 - 111468

Published: June 11, 2022

Language: Английский

Citations

41
Molecular bases of strawberry fruit quality traits: Advances, challenges, and opportunities DOI Open Access
Zhongchi Liu,

T. Jake Liang,

Chunying Kang

et al.

PLANT PHYSIOLOGY, Journal Year: 2023, Volume and Issue: 193(2), P. 900 - 914

Published: July 3, 2023

Abstract The strawberry is one of the world's most popular fruits, providing humans with vitamins, fibers, and antioxidants. Cultivated (Fragaria × ananassa) an allo-octoploid highly heterozygous, making it a challenge for breeding, quantitative trait locus (QTL) mapping, gene discovery. Some wild relatives, such as Fragaria vesca, have diploid genomes are becoming laboratory models cultivated strawberry. Recent advances in genome sequencing CRISPR-mediated editing greatly improved understanding various aspects growth development both strawberries. This review focuses on fruit quality traits that relevant to consumers, including aroma, sweetness, color, firmness, shape. Recently available phased-haplotype genomes, single nucleotide polymorphism (SNP) arrays, extensive transcriptomes, other big data made possible locate key genomic regions or pinpoint specific genes underlie volatile synthesis, anthocyanin accumulation sweetness intensity perception. These new will facilitate marker-assisted introgression missing into modern varieties, precise selected pathways. Strawberries poised benefit from these recent advances, consumers tastier, longer-lasting, healthier, more beautiful.

Language: Английский

Citations

36
A metabolic perspective of selection for fruit quality related to apple domestication and improvement DOI Creative Commons
Qiong Lin, Jing Chen, Xuan Liu

et al.

Genome biology, Journal Year: 2023, Volume and Issue: 24(1)

Published: April 26, 2023

Apple is an economically important fruit crop. Changes in metabolism accompanying human-guided evolution can be revealed using a multiomics approach. We perform genome-wide metabolic analysis of apple fruits collected from 292 wild and cultivated accessions representing various consumption types.We find decreased amounts certain metabolites, including tannins, organic acids, phenolic flavonoids as the transition to apples, while lysolipids increase "Golden Delicious" "Ralls Janet" pedigree, suggesting better storage. identify total 222,877 significant single-nucleotide polymorphisms that are associated with 2205 metabolites. Investigation region 2.84 5.01 Mb on chromosome 16 containing co-mapping regions for indicates importance these metabolites quality nutrition during breeding. The tannin acidity-related genes Myb9-like PH4 mapped closely weight locus fw1 3.41 3.76 15, under selection domestication. Lysophosphatidylethanolamine (LPE) 18:1, which suppressed by fatty acid desaturase-2 (FAD2), positively correlated firmness. negatively salicylic abscisic levels. Further functional assays demonstrate regulation hormone levels NAC-like activated Apetala3/Pistillata (NAP) ATP binding cassette G25 (ABCG25), respectively.This study provides perspective domestication improvement, valuable resource investigating mechanisms controlling metabolite content quality.

Language: Английский

Citations

32