ReviewFoods (Basel, Switzerland)2022
How Does Starch Structure Impact Amylolysis? Review of Current Strategies for Starch Digestibility Study.
Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Effect ofFood science & nutrition · 2026Article
- Evaluation of the Functional and Nutritional Properties of Alpha-Amylase-Modified Cassava Starch in Breadmaking.Foods (Basel, Switzerland) · 2026Article
- Effects ofFood chemistry: X · 2026Article
- The Effect of pH on the Morphological, Thermal, and Mechanical Properties of Cross-Linked Starch Edible Films.International journal of food science · 2026Article
- Cereal biomass-derived xylo- and malto-oligosaccharides as next-generation prebiotics: a comprehensive review of sustainable production and translational benefits for human and animal gut microbiota.Frontiers in microbiology · 2026Review
- Enzymes (α-Amylase, Xylanase, and Cellulase) in Steamed Buckwheat Buns: The Effects on Quality and Predicted Glycemic Response.Foods (Basel, Switzerland) · 2025Article
- Starches in Rice: Effects of Rice Variety and Processing/Cooking Methods on Their Glycemic Index.Foods (Basel, Switzerland) · 2025Review
- Understanding the Impact of Extrusion Treatment on Cereals: Insights from Alterations in Starch Physicochemical Properties and In Vitro Digestion Kinetics.Animals : an open access journal from MDPI · 2024Article
- Optimization of Heat-Moisture Treatment Conditions for High-Amylose Starch and Its Application in High-Resistant Starch Triticale Noodles.Foods (Basel, Switzerland) · 2024Article
- Exploring a novel GH13_5 α-amylase from Jeotgalibacillus malaysiensis D5AMB Express · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In vitro digestibility of starch is a common analysis in human nutrition research, and generally consists of performing the hydrolysis of starch by α-amylase in specific conditions. Similar in vitro assays are also used in other research fields, where different methods can be used. Overall, the in vitro hydrolysis of native starch is a bridge between all of these methods. In this literature review, we examine the use of amylolysis assays in recent publications investigating the complex starch structure-amylolysis relation. This review is divided in two parts: (1) a brief review of the factors influencing the hydrolysis of starch and (2) a systematic review of the experimental designs and methods used in publications for the period 2016-2020. The latter reports on starch materials, factors investigated, characterization of the starch hydrolysis kinetics and data analysis techniques. This review shows that the dominant research strategy favors the comparison between a few starch samples most frequently described through crystallinity, granule type, amylose and chain length distribution with marked characteristics. This strategy aims at circumventing the multifactorial aspect of the starch digestion mechanism by focusing on specific features. An alternative strategy relies on computational approaches such as multivariate statistical analysis and machine learning techniques to decipher the role of each factor on amylolysis. While promising to address complexity, the limited use of a computational approach can be explained by the small size of the experimental datasets in most publications. This review shows that key steps towards the production of larger datasets are already available, in particular the generalization of rapid hydrolysis assays and the development of quantification approaches for most analytical results.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.