<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>starch structure &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/starch-structure/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Sat, 10 Oct 2026 00:47:56 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>starch structure &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Ultrasound and Calcium Team Up to Make Mung Bean Starch Harder to Digest</title>
		<link>https://scienmag.com/ultrasound-and-calcium-team-up-to-make-mung-bean-starch-harder-to-digest/</link>
		
		<dc:creator><![CDATA[Alan Morgan]]></dc:creator>
		<pubDate>Sat, 10 Oct 2026 00:47:56 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[alpha-amylase]]></category>
		<category><![CDATA[calcium chloride]]></category>
		<category><![CDATA[calcium chloride's role in food structure]]></category>
		<category><![CDATA[cell wall]]></category>
		<category><![CDATA[enzymatic access to plant starches]]></category>
		<category><![CDATA[food processing]]></category>
		<category><![CDATA[food processing techniques to modify starch digestibility]]></category>
		<category><![CDATA[glycemic index]]></category>
		<category><![CDATA[impact of ultrasound on food microstructure]]></category>
		<category><![CDATA[improving bean starch resistance to digestion]]></category>
		<category><![CDATA[innovative food preservation and modification methods]]></category>
		<category><![CDATA[low-glycemic foods]]></category>
		<category><![CDATA[low-glycemic index foods]]></category>
		<category><![CDATA[mung bean]]></category>
		<category><![CDATA[mung bean starch digestibility]]></category>
		<category><![CDATA[pectin]]></category>
		<category><![CDATA[resistant starch]]></category>
		<category><![CDATA[slow carbohydrate release in legumes]]></category>
		<category><![CDATA[starch digestibility]]></category>
		<category><![CDATA[starch structure]]></category>
		<category><![CDATA[thermosonication]]></category>
		<category><![CDATA[thermosonication in food science]]></category>
		<category><![CDATA[ultrasound and calcium chloride in food processing]]></category>
		<category><![CDATA[ultrasound wave effects on plant cell walls]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=256738</guid>

					<description><![CDATA[A new study shows that combining ultrasound with calcium chloride treatment reinforces mung bean cell walls and reorganizes starch granules to significantly slow digestion and lower the predicted glycemic index.]]></description>
										<content:encoded><![CDATA[<p>Mung beans have long been prized in Asian cuisines not only for their versatility but also for a quieter, more medically interesting quality: their starch digests slowly, producing a gentle rise in blood sugar rather than the sharp spike associated with refined carbohydrates. That low-glycemic reputation, however, is fragile. Conventional processing—soaking, cooking, milling, and the mechanical abuse that comes with industrial food production—can rupture the delicate cell walls that encase starch granules inside the bean, handing digestive enzymes far easier access to their target. A new study published in npj Science of Food reports a counterintuitive solution: a treatment that deliberately perturbs the bean&#8217;s structure with ultrasound, then uses that perturbation to rebuild the barriers against digestion, ultimately lowering the predicted glycemic impact of mung bean starch.</p>
<p>The research, led by Qingyu Yang and Zudi Li of Shenyang Normal University together with colleagues at Beijing Technology and Business University, centers on a technique called thermosonication—the simultaneous application of heat and high-intensity ultrasound waves—paired with calcium chloride. On its face, the combination sounds like it should make starch more digestible, not less. Ultrasound generates microscopic cavitation bubbles in water; when those bubbles collapse, they release intense local shockwaves that tear open plant cell walls and increase their permeability. In most food-processing contexts, that kind of damage is exactly what processors try to avoid, because exposed starch is starch that digestive enzymes can rapidly convert to glucose.</p>
<p>The Chinese team&#8217;s insight was to treat that permeability as an opportunity rather than a liability. Once the cell walls become more permeable, calcium ions from the surrounding calcium chloride solution can penetrate deep into the tissue and accumulate where they would otherwise be excluded. Calcium is not an innocent bystander in plant cell-wall chemistry. It preferentially binds to non-methyl-esterified galacturonic acid residues, the charged building blocks of pectin, the gel-like polysaccharide that glues cell walls together. When calcium ions cross-link these negatively charged residues, they form what biologists call an egg-box structure: a rigid, orderly lattice in which each calcium ion sits cradled between two pectin chains like an egg in a carton.</p>
<p>The measurements in the study show that the combined treatment increased the proportion of non-methyl-esterified galacturonic acid in the cell walls, providing more binding sites for calcium, and that calcium accumulation rose accordingly. The practical consequence was a strengthened cell-wall barrier. Digestive enzymes such as alpha-amylase must first adsorb onto the surface of their substrate before they can cleave it, and the reinforced walls made that adsorption harder while simultaneously inhibiting the enzyme&#8217;s activity once it did make contact. In effect, the treatment turned the bean&#8217;s own architecture into a slow-release mechanism, forcing enzymes to queue at a gate that had just been reinforced.</p>
<p>What makes the finding scientifically notable is that most previous work on calcium&#8217;s role in starch digestibility focused exclusively on the starch granule itself—how calcium ions interact with amylose and amylopectin chains, or how they alter gelatinization. The cell wall, by contrast, has often been treated as passive packaging that processing inevitably destroys. By demonstrating that the wall can be actively engineered to resist enzymatic attack, the study reframes the problem: digestibility is not a property of starch alone but of the entire structural hierarchy in which the starch is embedded, from the pectin network of the wall down to the crystalline packing of the granule.</p>
<p>And the starch level of that hierarchy did change too, in ways that reinforce the wall-level effect. The combined treatment reduced starch damage—the fraction of granules whose crystalline order has been physically disrupted—and promoted granule aggregation, clustering individual granules into larger masses that enzymes penetrate more slowly. Within the granules, the researchers documented an increase in amylose content, the linear starch fraction that retrogrades into enzyme-resistant forms, along with greater short-range molecular order and the emergence of V-type diffraction features, the X-ray crystallographic signature of amylose complexes that resist hydrolysis. Resistant starch, the fraction that escapes digestion in the small intestine entirely, increased, while double-helical organization and relative crystallinity—structures that enzymes can attack—decreased.</p>
<p>The net result of these coordinated changes, at both the wall and the granule, was a measurable reduction in starch hydrolysis under simulated digestion and a lower estimated glycemic index, the laboratory proxy for how sharply a food raises blood glucose. For a legume whose commercial value depends partly on its suitability for diabetic and low-glycemic diets, that is a meaningful outcome. It suggests that processors need not choose between the texture and convenience benefits of modern processing and the nutritional profile that makes mung bean starch special; with the right sequence of physical and chemical treatments, both can be preserved.</p>
<p>The technique itself deserves attention from a food-engineering standpoint. Thermosonication is already used in the industry for applications such as microbial inactivation, emulsification, and extraction, because it delivers intense mechanical energy without the prolonged cooking times that degrade flavor, color, and vitamins. Calcium chloride is cheap, food-grade, and widely used as a firming agent in canned vegetables and tofu production, where it performs essentially the same pectin cross-linking chemistry that the study exploits. Combining the two is therefore less a novel invention than a clever repurposing: the cavitation damage that ultrasound normally inflicts becomes the delivery mechanism for the calcium that repairs and reinforces the structure. The treatment is, in principle, scalable with existing equipment.</p>
<p>There are, of course, the usual caveats that separate a laboratory result from a supermarket shelf. The glycemic index here was estimated from in vitro digestion kinetics, not measured in human volunteers, and the relationship between simulated and real physiological responses is imperfect. The study also reports structural correlates of digestibility rather than clinical outcomes, so the ultimate test—whether mung bean foods treated this way actually blunt post-meal glucose excursions in people—remains to be performed. Sensory qualities, cooking behavior, and shelf stability after ultrasound treatment would all need evaluation before the method could be adopted commercially.</p>
<p>Even so, the conceptual contribution is likely to outlast the specific application. The work demonstrates that the cell wall is not merely an obstacle that processing erodes but a tunable component of food structure that processing can deliberately strengthen. As food scientists search for ways to slow carbohydrate digestion without resorting to additives or reformulation, strategies that work with the plant&#8217;s native architecture—using its own pectin chemistry as the target—offer an appealing path. A humble mung bean, zapped with sound waves and bathed in calcium, may have just shown how the next generation of low-glycemic foods gets built: not by stripping structure away, but by putting it back, stronger than before.</p>
<p><strong>Subject of Research:</strong> Thermosonication-assisted calcium chloride modification of mung bean cell walls and starch structure to reduce starch digestibility</p>
<p><strong>Article Title:</strong> Thermosonication-assisted CaCl2 treatment reduces mung bean starch digestibility through cell-wall structural modification and starch reorganization</p>
<p><strong>Article References:</strong> Yang, Q., Xu, D., Zhao, L., Zheng, C., Liu, S., &amp; Li, Z. (2026). Thermosonication-assisted CaCl2 treatment reduces mung bean starch digestibility through cell-wall structural modification and starch reorganization. <em>npj Science of Food</em>. <a href="https://doi.org/10.1038/s41538-026-01189-5" rel="noopener noreferrer">https://doi.org/10.1038/s41538-026-01189-5</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41538-026-01189-5" rel="noopener noreferrer">10.1038/s41538-026-01189-5</a></p>
<p><strong>Keywords:</strong> mung bean, starch digestibility, thermosonication, calcium chloride, cell wall, resistant starch, glycemic index, pectin, alpha-amylase, food processing, starch structure, low-glycemic foods</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">256738</post-id>	</item>
		<item>
		<title>Why Starch Never Predicts Texture Alone: The Matrix Rules That Decide How Food Feels</title>
		<link>https://scienmag.com/why-starch-never-predicts-texture-alone-the-matrix-rules-that-decide-how-food-feels/</link>
		
		<dc:creator><![CDATA[Drew Townsend]]></dc:creator>
		<pubDate>Sun, 04 Oct 2026 12:12:41 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[amylopectin]]></category>
		<category><![CDATA[amylose]]></category>
		<category><![CDATA[amylose and amylopectin role in food texture]]></category>
		<category><![CDATA[context-dependent food texture outcomes]]></category>
		<category><![CDATA[differential scanning calorimetry]]></category>
		<category><![CDATA[food matrix]]></category>
		<category><![CDATA[food texture]]></category>
		<category><![CDATA[food texture prediction]]></category>
		<category><![CDATA[gelatinization]]></category>
		<category><![CDATA[hierarchical organization of starch granules]]></category>
		<category><![CDATA[impact of starch processing on food texture]]></category>
		<category><![CDATA[influence of food matrix on starch behavior]]></category>
		<category><![CDATA[potato]]></category>
		<category><![CDATA[relationship between starch composition and food texture]]></category>
		<category><![CDATA[retrogradation]]></category>
		<category><![CDATA[rheology]]></category>
		<category><![CDATA[rice]]></category>
		<category><![CDATA[sensory evaluation]]></category>
		<category><![CDATA[starch architecture and sensory attributes]]></category>
		<category><![CDATA[starch crystallinity and food feel]]></category>
		<category><![CDATA[starch molecular structure and food texture]]></category>
		<category><![CDATA[starch structure]]></category>
		<category><![CDATA[starch structure and cooking methods]]></category>
		<category><![CDATA[starch-based food textural properties]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=234986</guid>

					<description><![CDATA[A new review argues that starch structure determines food texture only in combination with the food matrix, water availability, processing history and complementary measurement methods.]]></description>
										<content:encoded><![CDATA[<p>Why does one batch of rice turn out fluffy and separate while another, made from grain with a seemingly similar starch profile, emerges from the pot dense and sticky? Why do two potato cultivars with comparable amylose contents bake into completely different textures, one mealy and one firm and waxy? These questions sit at the heart of a sprawling new review published in Food Science and Biotechnology, in which Hyun-Jin Park, Sang-Jin Ye and Moo-Yeol Baik assemble decades of starch science into a single, provocative argument: the relationship between starch structure and food texture is real, but it is never fixed. It is conditional, context-dependent, and only legible when the entire food matrix and the processing history are taken into account.</p>
<p>The review builds its framework from the ground up, beginning with the molecular architecture of starch itself. Starch is not one molecule but two: amylose, a mostly linear polymer of glucose units, and amylopectin, a hugely branched macromolecule whose short chains cluster into crystalline lamellae within the semi-crystalline starch granule. These two polymers are packed into concentric growth rings, alternating amorphous and crystalline shells that give the granule its hierarchical organization. The fine details matter enormously. The chain-length distribution of amylopectin branches determines how readily crystallites form and melt; the ratio of amylose to amylopectin governs swelling capacity, leaching behavior and gel firmness; and even the position of phosphate groups esterified onto the glucose chains, as in potato starch, can shift gelatinization temperatures and paste viscosity. Starch, in other words, is a family of materials whose members differ subtly but consequentially.</p>
<p>When starch meets heat and water, the granule undergoes gelatinization, the cascade of transitions that cooks care about most. The review traces this process through its successive stages: water penetrates the amorphous regions, the crystalline lamellae melt, the granule swells irreversibly to many times its original volume, amylose leaches out into the surrounding phase, and eventually the swollen granules rupture or collapse into a continuous paste. Each of these steps is a potential control point for texture. A granule that swells strongly and leaches abundant amylose produces viscous, cohesive pastes; one that resists swelling, held together by residual proteins and lipids on its surface, yields the loose, discrete texture prized in cooked rice. The authors emphasize the phenomenon of granule ghosts, remnant granular structures that persist even after gelatinization, whose integrity depends on amylose, protein and lipid content and which strongly influence whether a cooked product feels smooth or grainy.</p>
<p>But the granule does not act alone. The review devotes substantial attention to the minor components hitchhiking on starch granules, including surface proteins, channel-associated lipids and phospholipids that form inclusion complexes with amylose. Removing these components measurably alters swelling patterns, pasting profiles and even the cross-linking response of modified starches. Amylose-lipid complexes, formed during extrusion or baking, raise gelatinization temperatures, slow enzymatic digestion and change the rheology of the final product. Water availability emerges as another master variable: the same starch heated at low moisture behaves entirely differently from one in excess water, and competition for water among starch, proteins and other hydrocolloids in mixed systems can redirect the whole trajectory of texture development. Thermal history, including heating rate, holding time and cooling regime, completes the picture, since rapid cooling and slow cooling produce retrogradation patterns of different crystallite types and sizes.</p>
<p>Retrogradation, the slow reordering of gelatinized starch chains during storage, is the villain behind stale bread and the hero behind glassy rice noodles. The review distinguishes short-term retrogradation, driven by rapid amylose aggregation and gelation within hours, from long-term retrogradation, the slower recrystallization of amylopectin outer branches over days and weeks. Amylose chain length, amylopectin fine structure, storage temperature, moisture content and the presence of proteins, sugars and hydrocolloids all modulate this process. Endogenous rice proteins, for instance, have been shown to alter retrogradation kinetics, and the addition of xanthan gum or sucrose syrups can either retard or reshape crystallization. The practical consequence is that shelf-life texture, from bread firming to noodle springiness, is a moving target determined by an interacting web of variables rather than by any single compositional number.</p>
<p>A major contribution of the review is its critical audit of the measurement toolbox. Differential scanning calorimetry captures the energetics of crystal melting but, the authors caution, reflects only part of the gelatinization story; structural changes continue beyond the endotherm. X-ray diffraction quantifies crystallinity, while attenuated total reflectance Fourier transform infrared spectroscopy probes short-range molecular order, and the two together offer a fuller picture of structural order than either alone. Microscopy, from light microscopy to advanced electron and scanning probe techniques, reveals granule morphology and ghost integrity. The Rapid Visco Analyser provides fast, industry-friendly pasting curves, yet its fixed shear and concentration conditions limit extrapolation to real products. Rheology, including large-amplitude oscillatory shear, characterizes network mechanics under both small and large deformations, while texture profile analysis and acoustic fracture measurements attempt to bridge the gap to crispness and hardness as consumers perceive them. Sensory evaluation remains the final arbiter, and the review stresses that instrumental and sensory parameters correlate only imperfectly, demanding careful calibration.</p>
<p>The framework is then tested against real foods, and here the review delivers its most striking message. In reconstituted, starch-dominant matrices, purified starch gels, starch noodles, model pastes, starch structural properties are the most predictive of final texture. Amylose content, chain-length distributions and pasting parameters correlate reasonably well with gel firmness, noodle elasticity and paste viscosity. But as the matrix becomes more complex, predictability degrades. In intact grains such as cooked rice and quinoa, texture depends on the interplay of starch fine structure with protein bodies, cell walls and the geometry of the whole grain, so chemical composition of the raw grain often outperforms isolated starch measurements. In protein-containing cereal products such as bread and noodles, gluten networks compete with starch for water and mechanically constrain granule swelling, making texture a negotiated outcome of protein-starch-water interactions.</p>
<p>Plant tissues push conditionality even further. In potatoes, the review notes, cooked texture is shaped by parenchyma cell structure, cell-to-cell adhesion, pectin chemistry and the degree of cell separation during cooking, alongside starch swelling pressure. Mealy versus waxy potato textures reflect differences in starch fine structure between cultivars, but the cellular architecture of the tuber mediates how those differences are expressed. Sweetpotato fries and baked roots similarly show that isolated starch properties only partially predict sensory texture, with granule size, thermal properties and tissue structure all contributing. Processing-modified structures, from extruded snacks to pre-dried chips, add yet another layer, since shear, drying and frying create textures whose determinants are as much mechanical and thermal as compositional. The lesson is that starch properties are necessary but insufficient inputs for texture prediction outside the simplest systems.</p>
<p>The review concludes with a methodological prescription that reads almost like a manifesto for the field: reliable texture prediction requires matched processing conditions and complementary measurements spanning structure, function, instrumentation and sensory perception. A single DSC scan or RVA curve, however convenient, cannot carry the predictive burden that food scientists and breeders often place on it. Instead, the authors advocate multiscale characterization, from molecular chain architecture through granule organization to matrix-level rheology and, ultimately, human sensory testing, all conducted under processing conditions that mirror the intended application. For an industry racing to design plant-based foods, gluten-free products and climate-resilient crops, the message is both sobering and empowering: starch structure matters profoundly, but it speaks only in the accent of its surroundings. Learning that accent, the authors argue, is the key to engineering the textures consumers crave.</p>
<p><strong>Subject of Research:</strong> The relationship between starch molecular structure and texture expression in starch-rich foods</p>
<p><strong>Article Title:</strong> From starch structure to food texture: a review on structural determinants and context-dependent expression in starch-rich foods</p>
<p><strong>Article References:</strong> Park, H.-J., Ye, S.-J., &amp; Baik, M.-Y. (2026). From starch structure to food texture: a review on structural determinants and context-dependent expression in starch-rich foods. <em>Food Science and Biotechnology</em>. <a href="https://doi.org/10.1007/s10068-026-02318-2" rel="noopener noreferrer">https://doi.org/10.1007/s10068-026-02318-2</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10068-026-02318-2" rel="noopener noreferrer">10.1007/s10068-026-02318-2</a></p>
<p><strong>Keywords:</strong> starch structure, food texture, gelatinization, retrogradation, amylose, amylopectin, food matrix, rheology, sensory evaluation, differential scanning calorimetry, rice, potato</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">234986</post-id>	</item>
	</channel>
</rss>
