<?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>maximum residue limits &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/maximum-residue-limits/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Fri, 16 Oct 2026 03:13:35 +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>maximum residue limits &#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>Microplastics Are Supercharging Toxic Pesticides in Farmed Fish, Review Warns</title>
		<link>https://scienmag.com/microplastics-are-supercharging-toxic-pesticides-in-farmed-fish-review-warns/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Fri, 16 Oct 2026 03:13:35 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[aquaculture]]></category>
		<category><![CDATA[bioaccumulation]]></category>
		<category><![CDATA[Environmental Risks of Microplastics in Aquaculture]]></category>
		<category><![CDATA[Food Chain Contamination from Microplastics]]></category>
		<category><![CDATA[food safety]]></category>
		<category><![CDATA[green pharmacology]]></category>
		<category><![CDATA[Impact of Microplastics on Fish Health]]></category>
		<category><![CDATA[Lipophilic Pesticides and Plastic Debris]]></category>
		<category><![CDATA[Marine Pollution and Fish]]></category>
		<category><![CDATA[maximum residue limits]]></category>
		<category><![CDATA[Microplastic-Driven Toxin Transfer]]></category>
		<category><![CDATA[Microplastic-Pesticide Interactions]]></category>
		<category><![CDATA[microplastics]]></category>
		<category><![CDATA[microplastics as chemical carriers]]></category>
		<category><![CDATA[Microplastics in Fish Farms]]></category>
		<category><![CDATA[neurotoxicity]]></category>
		<category><![CDATA[Pesticide Bioaccumulation in Aquaculture]]></category>
		<category><![CDATA[pesticide vectors]]></category>
		<category><![CDATA[recirculating aquaculture systems]]></category>
		<category><![CDATA[Synthetic Pyrethroid Contamination]]></category>
		<category><![CDATA[synthetic pyrethroids]]></category>
		<category><![CDATA[Toxins in Farmed Fish]]></category>
		<category><![CDATA[Trojan horse effect]]></category>
		<category><![CDATA[trophic transfer]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=281050</guid>

					<description><![CDATA[A new review finds that microplastics in aquaculture systems act as carriers for neurotoxic synthetic pyrethroids, reshaping how these pesticides accumulate in farmed fish and move through food webs.]]></description>
										<content:encoded><![CDATA[<p>A new critical review warns that the tiny plastic particles drifting through the world&#8217;s fish farms may be quietly amplifying one of aquaculture&#8217;s most persistent chemical threats. Writing in Environmental Monitoring and Assessment, researchers from Aksaray University and Cukurova University in Turkey synthesize the evidence that microplastics act as carriers, or vectors, for synthetic pyrethroids, a widely used class of neurotoxic insecticides, and that this partnership may reshape how toxins accumulate in farmed fish and move up the food chain.</p>
<p>Synthetic pyrethroids are synthetic derivatives of pyrethrins, the natural insecticides found in chrysanthemum flowers, and they are prized in agriculture and aquaculture for their potency against pests and relatively short environmental persistence. Yet they are also highly lipophilic, meaning they dissolve readily into fats rather than water, and they act on the nervous systems of fish by disrupting sodium channels in nerve membranes. Because of their chemical affinity for organic surfaces, pyrethroids bind tightly to plastic debris, and the review argues that this binding turns microplastics into mobile reservoirs of pesticide contamination within aquaculture systems.</p>
<p>The physicochemical mechanics of this partnership hinge on sorption and desorption dynamics, the processes by which chemicals attach to and detach from particle surfaces. Polymer crystallinity, or the degree to which plastic chains are ordered rather than amorphous, governs how much chemical a given particle can hold. Weathering, the combined effect of sunlight, abrasion, and microbial activity, alters surface chemistry and roughness, often increasing the available binding sites over time. Shifting water parameters such as salinity, pH, and temperature further modulate how strongly pyrethroids cling to plastic or release back into the water column, meaning that vector efficiency is not a fixed property but a moving target that responds to the environment.</p>
<p>Once contaminated particles are ingested, the classic assumption has been the so-called Trojan Horse effect, in which microplastics smuggle their chemical cargo deep into animal tissues and release it under digestive conditions, amplifying internal exposure beyond what the water alone would deliver. The review challenges this paradigm, pointing out that the picture is more nuanced than the label suggests. Some studies indicate that microplastics can dilute rather than concentrate chemical exposure under certain conditions, and the authors emphasize significant gaps in commercially relevant in vitro digestion models that attempt to simulate what actually happens inside a fish gut. Without better models, the true magnitude of the vector effect remains uncertain.</p>
<p>What is clearer is that vulnerability is not evenly distributed across farmed species. Benthic organisms, those living on or near the pond bottom, and species that are consumed whole rather than filleted face disproportionate exposure because they ingest particles directly from sediments or from the water column without the partial filtering that larger, selectively feeding animals perform. Tissue-specific bioaccumulation patterns suggest that pyrethroids carried on plastic surfaces may concentrate in particular organs rather than distributing uniformly, complicating both toxicological assessment and food safety monitoring.</p>
<p>The review also dissects how different aquaculture architectures shape exposure pathways. Recirculating aquaculture systems, or RAS, which reuse water through mechanical and biological filtration, concentrate particles and dissolved chemicals in ways that open-sea cages do not, since the latter rely on natural currents to dilute and disperse contaminants. Semi-intensive ponds, which blend natural productivity with supplemental feeding, sit somewhere in between, with hydrodynamics driven largely by wind, aeration, and fish movement rather than engineered flow. Each configuration produces a distinct profile of particle residence time, chemical partitioning, and trophic structure, meaning that risk cannot be generalized across the industry.</p>
<p>Trophic transfer, the movement of contaminants through food webs as predators consume prey, adds another layer of concern. When smaller organisms ingest contaminated particles and are then eaten by larger fish, the associated pyrethroids can move upward through the food chain, potentially reaching concentrations that exceed what direct water exposure alone would produce. The review highlights evidence that this pathway matters in aquaculture settings, particularly where natural forage organisms supplement formulated feeds, and it underscores the vulnerability of whole-consumed species whose digestive tracts, and therefore particle burdens, are eaten along with the muscle tissue.</p>
<p>The toxicological consequences compound across multiple biological systems. Pyrethroids are neurotoxic, and co-exposure with microplastics has been linked in experimental studies to heightened neuro-stress, disrupted behavior, and altered neurotransmitter activity in fish. Beyond the nervous system, the combination appears to compromise immune function, leaving animals more susceptible to disease, and to disturb gut microbiota, the microbial community that supports digestion and immune regulation. These sublethal effects translate directly into economic consequences for farm performance, including reduced growth rates, elevated mortality, and increased treatment costs, all of which erode the margins on which aquaculture operations depend.</p>
<p>Against this backdrop, the review identifies a significant regulatory blind spot. Maximum Residue Limits, or MRLs, the legal ceilings on pesticide residues in food products, are typically set for individual chemicals assessed in isolation, without accounting for the possibility that microplastic carriage may alter bioavailability, tissue distribution, or persistence of the residue in edible tissue. The authors argue that current frameworks do not capture the synergistic threat posed by the convergence of plastic pollution and routine pyrethroid application, leaving a gap between what regulations assume and what aquaculture ecosystems actually deliver to the consumer.</p>
<p>Looking forward, the review proposes a set of mitigation strategies aimed at closing this gap. Targeted green pharmacology, the development of plant-derived or biologically based alternatives to synthetic pesticides, could reduce the chemical burden entering farm systems in the first place, and the authors point to growing evidence that certain botanical feed additives can help fish cope with xenobiotic stress. Advanced filtration technologies, including improved mechanical separation and possibly biofilm-based capture, offer engineering routes to reduce particle loads before they accumulate. Ultimately, the authors call for a holistic paradigm shift in aquaculture risk assessment, one that treats microplastics and pesticides not as separate problems but as an interacting system whose combined behavior determines the real exposure profile of farmed fish and, by extension, the safety of the seafood that reaches the market.</p>
<p><strong>Subject of Research:</strong> Microplastics as vectors for synthetic pyrethroid pesticides in aquaculture ecosystems</p>
<p><strong>Article Title:</strong> The accelerating role of microplastics as vectors for synthetic pyrethroids: a critical review of bioaccumulation and trophic transfer in aquaculture ecosystems</p>
<p><strong>Article References:</strong> The accelerating role of microplastics as vectors for synthetic pyrethroids: a critical review of bioaccumulation and trophic transfer in aquaculture ecosystems. (n.d.). <a href="https://doi.org/10.1007/s10661-026-15850-9" rel="noopener noreferrer">https://doi.org/10.1007/s10661-026-15850-9</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10661-026-15850-9" rel="noopener noreferrer">10.1007/s10661-026-15850-9</a></p>
<p><strong>Keywords:</strong> microplastics, synthetic pyrethroids, aquaculture, bioaccumulation, trophic transfer, Trojan horse effect, food safety, neurotoxicity, pesticide vectors, recirculating aquaculture systems, maximum residue limits, green pharmacology</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">281050</post-id>	</item>
		<item>
		<title>Herbicide Residues in Imported Soybeans Reveal Hidden Fingerprints of GM Crop Events</title>
		<link>https://scienmag.com/herbicide-residues-in-imported-soybeans-reveal-hidden-fingerprints-of-gm-crop-events/</link>
		
		<dc:creator><![CDATA[Alan Morgan]]></dc:creator>
		<pubDate>Fri, 02 Oct 2026 18:00:31 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[Brazil soybean exports]]></category>
		<category><![CDATA[chemical and genetic fingerprinting of soybeans]]></category>
		<category><![CDATA[combined chemical and genetic testing for food traceability]]></category>
		<category><![CDATA[DAS-44406]]></category>
		<category><![CDATA[detecting GM crop events through chemical residues]]></category>
		<category><![CDATA[food safety authorities GMO monitoring]]></category>
		<category><![CDATA[food safety monitoring]]></category>
		<category><![CDATA[genetically modified crop fingerprinting]]></category>
		<category><![CDATA[genetically modified soybeans]]></category>
		<category><![CDATA[glufosinate]]></category>
		<category><![CDATA[glyphosate]]></category>
		<category><![CDATA[glyphosate and glufosinate residues]]></category>
		<category><![CDATA[herbicide residue analysis in soybeans]]></category>
		<category><![CDATA[herbicide residue and GMO event correlation]]></category>
		<category><![CDATA[herbicide residue profiling in imported crops]]></category>
		<category><![CDATA[herbicide tolerance]]></category>
		<category><![CDATA[herbicide-tolerance traits in GM soybeans]]></category>
		<category><![CDATA[identity preservation]]></category>
		<category><![CDATA[imported soybean food safety testing]]></category>
		<category><![CDATA[maximum residue limits]]></category>
		<category><![CDATA[MON89788]]></category>
		<category><![CDATA[real-time PCR]]></category>
		<category><![CDATA[real-time PCR for GMO detection]]></category>
		<category><![CDATA[United States soybean exports]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=228803</guid>

					<description><![CDATA[Japanese researchers have shown that herbicide residue profiles in imported soybeans can be matched to specific genetically modified events, linking glyphosate and glufosinate metabolites to distinct GM traits and revealing country-specific cultivation patterns.]]></description>
										<content:encoded><![CDATA[<p>Every sack of imported soybean carries two invisible histories: the chemical treatments it survived in the field and the genetic modifications written into its DNA. For decades, food safety authorities have tracked these two stories separately. Pesticide laboratories measure residues against maximum residue limits, while genetic testing programs verify whether shipments comply with authorization and labeling rules for genetically modified organisms. A new study from Japanese researchers now argues that reading both histories together can reveal far more than either one alone, because the herbicides found in a shipment may point directly to the specific genetically modified events present in the beans.</p>
<p>The research, published in the Journal of Agriculture and Food Research, was led by Keisuke Soga and colleagues at Japan&#8217;s National Institute of Health Sciences and collaborating institutions. The team took soybean samples that had previously been analyzed for herbicide residues and subjected the very same material to a battery of event-specific real-time PCR tests. Their goal was exploratory but ambitious: to see whether the residue profile of glyphosate, glufosinate, and their metabolites could be matched to particular herbicide-tolerance traits in commercially distributed soybeans imported from the United States and Brazil.</p>
<p>The logic behind the approach rests on the biochemistry of herbicide tolerance. Glyphosate kills plants by inhibiting 5-enolpyruvylshikimate-3-phosphate synthase, or EPSPS, an enzyme essential for synthesizing aromatic amino acids through the shikimate pathway. Glyphosate-tolerant soybeans evade this attack by carrying a modified epsps gene, such as the cp4 epsps gene borrowed from the soil bacterium Agrobacterium tumefaciens strain CP4, which produces an enzyme the herbicide cannot bind. Glufosinate works differently: it blocks glutamine synthetase, causing toxic ammonia to accumulate and shutting down photosynthesis. Soybeans tolerate glufosinate by carrying the pat or bar gene, which encodes phosphinothricin N-acetyltransferase, an enzyme that acetylates the herbicide into N-acetyl-glufosinate, an inactive compound that no longer threatens the plant.</p>
<p>These mechanisms create a chemical fingerprint. A soybean carrying a modified epsps gene can survive glyphosate spraying and may retain detectable glyphosate residues, but it cannot convert glufosinate into its acetylated form. Conversely, a soybean carrying pat can metabolize glufosinate into N-acetyl-glufosinate, so the presence of that metabolite hints at a pat-containing event. The Japanese team reasoned that detecting glyphosate or the acetylated glufosinate metabolite in a shipment should statistically correlate with the presence of the corresponding transgenes, and that the strength of the correlation might even reveal which specific events dominate cultivation in the exporting country.</p>
<p>The sample set consisted of fifteen soybean lots: one edible soybean sample grown in Japan, eight feed samples from the United States, three non-GM samples from the United States imported under identity-preserved handling, and three feed samples from Brazil. Identity-preserved systems segregate non-GM soybeans from GM ones through documentation and traceability, though they cannot guarantee the complete absence of unintended commingling. The researchers ground 100 grams of each sample in a cryogenic mill, extracted genomic DNA, and screened for eleven GM events using primers and probes drawn from the European Union&#8217;s GMOMETHODS database and Japanese official detection methods, with the soybean lectin gene serving as an endogenous reference.</p>
<p>The qualitative results were striking. In the non-GM samples, GM events were essentially undetectable, with only a faint signal for event DAS-44406 in one sample. In the American feed samples, the team detected RRS, MON89788, FG72, A2704-12, A5547-127, and DAS-44406, while Brazilian feed samples were dominated by RRS, MON89788, and DAS-81419. The edible Japanese sample contained none of the tested events. Crucially, the events found in the herbicide-positive samples matched the residue chemistry: glyphosate-containing lots carried high levels of epsps-harboring events, and lots containing N-acetyl-glufosinate carried high levels of pat-harboring events.</p>
<p>Quantification sharpened the picture considerably. In American feed samples where glyphosate was detected, MON89788 ranged from 8.7 to 50.7 percent commingling, and DAS-44406, a stacked event carrying 2mepsps, pat, and aad-12 transgenes, reached an extraordinary 41.3 to 71.6 percent. In Brazilian feed samples, MON89788 dominated at 62.6 to 102.6 percent, with the value above 100 percent attributed to inherent measurement uncertainty in event-specific quantitative PCR rather than an impossible true percentage. Meanwhile, the American feed sample in which neither glufosinate nor its metabolite was detected showed low commingling for the pat-containing events, at 0.4 percent for DAS-44406 and 1.1 percent for A5547-127, reinforcing the link between the metabolite and the trait.</p>
<p>The authors interpret these patterns through the lens of regional agricultural practice. In the United States, herbicide use on soybeans has diversified markedly as growers battle glyphosate-resistant weeds. Department of Agriculture surveys show that in 2006 more than 50 million soybean acres were treated exclusively with glyphosate, but by 2012 that area had shrunk by roughly 20 million acres as farmers adopted tank mixes. By 2023, glyphosate isopropylamine remained the most widely used herbicide at 46 percent of planted acres, but 2,4-D choline salt followed at 37 percent, with glufosinate-ammonium at 23 percent. This diversification aligns neatly with the prominence of DAS-44406, whose stacked transgenes confer tolerance to glyphosate, glufosinate, and 2,4-D simultaneously.</p>
<p>Brazil tells a different story. No-tillage systems dominate Brazilian soybean production, and without plowing to control weeds, farmers lean heavily on herbicides; glyphosate was applied to roughly 95 percent of the soybean area by 2021. The insect-protected and glyphosate-tolerant stacked variety MON 87701 x MON 89788, introduced in the 2013/14 season, expanded from 1.2 million hectares to more than 30 million hectares, about 80 percent of national acreage by 2020/21. That near-total adoption explains why MON89788 commingling in Brazilian feed samples reached such extreme levels, while glufosinate-tolerant events remained scarce at 0.2 to 3.2 percent. The researchers note that as glyphosate-resistant weeds spread in Brazil, additional herbicide-tolerance traits may follow the American trajectory, making continued monitoring essential.</p>
<p>The study&#8217;s implications extend beyond curiosity. If herbicides or their metabolites appear in a product labeled non-GM, that could signal the presence of GM material and justify verification against labeling regulations, as illustrated by the glufosinate found in the identity-preserved American samples, which the authors attribute to cultivation practices, environmental sources, post-harvest handling, or commingling below the detection range of the genetic assays. Conversely, residue data can cross-check genetic findings, boosting overall reliability. The authors also point toward future work on 2,4-D and dicamba, whose tolerance events, DAS-44406 and MON87708 respectively, metabolize these auxin-mimicking herbicides into detectable signature compounds. Because the sample set was small, the team frames the work as exploratory rather than a quantitative correlation analysis, but the concept is clear: two regulatory silos, pesticide monitoring and GM surveillance, each hold half of a story that only makes full sense when the datasets are combined. Extending this integrated approach to maize and other crops could give food safety authorities a powerful, mutually validating tool for traceability and enforcement in global commodity chains.</p>
<p><strong>Subject of Research:</strong> Association between herbicide residues and herbicide-tolerance GM soybean events in imported soybean samples</p>
<p><strong>Article Title:</strong> Association between herbicide residues and herbicide tolerance-related genetically modified events in imported soybean samples</p>
<p><strong>Article References:</strong> Soga, K., Yoshiba, S., Takabatake, R., Taguchi, T., Tsutsumi, T., Ito, R., Iwasaki, Y., Akiyama, H., &amp; Shibata, N. (2026). Association between herbicide residues and herbicide tolerance-related genetically modified events in imported soybean samples. <em>Journal of Agriculture and Food Research, 31</em>, Article 103321. <a href="https://doi.org/10.1016/j.jafr.2026.103321" rel="noopener noreferrer">https://doi.org/10.1016/j.jafr.2026.103321</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1016/j.jafr.2026.103321" rel="noopener noreferrer">10.1016/j.jafr.2026.103321</a></p>
<p><strong>Keywords:</strong> glyphosate, glufosinate, genetically modified soybeans, herbicide tolerance, real-time PCR, food safety monitoring, maximum residue limits, MON89788, DAS-44406, identity preservation, Brazil soybean exports, United States soybean exports</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">228803</post-id>	</item>
		<item>
		<title>Boiling Won&#8217;t Save Your Dinner: Banned Pesticide Lingers in Nigerian Staple Foods</title>
		<link>https://scienmag.com/boiling-wont-save-your-dinner-banned-pesticide-lingers-in-nigerian-staple-foods/</link>
		
		<dc:creator><![CDATA[Daisy Hatcher]]></dc:creator>
		<pubDate>Thu, 01 Oct 2026 15:35:18 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[bioaccumulation]]></category>
		<category><![CDATA[cooking methods and chemical residue survival]]></category>
		<category><![CDATA[dieldrin]]></category>
		<category><![CDATA[dietary exposure]]></category>
		<category><![CDATA[effectiveness of household washing methods on pesticide removal]]></category>
		<category><![CDATA[environmental persistence of organochlorine pesticides]]></category>
		<category><![CDATA[food contamination and public health in Nigeria]]></category>
		<category><![CDATA[food safety]]></category>
		<category><![CDATA[food safety challenges in resource-limited settings]]></category>
		<category><![CDATA[GC–MS]]></category>
		<category><![CDATA[hazard index]]></category>
		<category><![CDATA[health risks of dieldrin exposure through diet]]></category>
		<category><![CDATA[impact of banned pesticides on food safety in Nigeria]]></category>
		<category><![CDATA[implications of pesticide residues in developing countries]]></category>
		<category><![CDATA[maximum residue limits]]></category>
		<category><![CDATA[Nigeria]]></category>
		<category><![CDATA[organochlorine pesticides]]></category>
		<category><![CDATA[persistent organochlorine pesticides in grains]]></category>
		<category><![CDATA[pesticide regulation and enforcement issues]]></category>
		<category><![CDATA[Pesticide residue contamination in Nigerian staple foods]]></category>
		<category><![CDATA[QuEChERS]]></category>
		<category><![CDATA[staple crops]]></category>
		<category><![CDATA[thermal processing]]></category>
		<category><![CDATA[wastewater contamination from pesticide-l]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=223434</guid>

					<description><![CDATA[New research from Nigerian markets shows that the banned organochlorine pesticide dieldrin persists in staple grains and legumes at hazardous levels and survives ordinary cooking largely intact.]]></description>
										<content:encoded><![CDATA[<p>A banned pesticide that was outlawed decades ago is still turning up in the rice, corn, wheat, and beans that millions of Nigerians eat every day, and new research shows that the kitchen offers almost no protection against it. In a study of eighteen staple grains and legumes purchased from markets in Awka, Anambra State, scientists found that dieldrin, a persistent organochlorine pesticide, exceeded the international maximum residue limit in roughly two-thirds of all samples tested. More striking still, neither gentle warming nor a full rolling boil removed meaningful amounts of the chemical from the food, and the wastewater left over from cooking carried traces of the compound as well.</p>
<p>The findings, published in Discover Chemistry, challenge a widespread household assumption in resource-constrained settings: that washing grains in hot water before cooking reduces contaminant levels. In southeastern Nigeria, where access to clean water and reliable energy can be limited, many families routinely rinse staples with warm or hot water to shorten cooking times and save fuel. The practice is often believed to strip away impurities, including pesticide residues. But dieldrin, formed in the environment through the epoxidation of the related pesticide aldrin, is a notoriously stubborn molecule. Its high chemical stability, low volatility, and strong lipophilicity allow it to bind tightly to soil organic matter, persist in sediments for decades, and accumulate in the fatty tissues of living organisms, climbing the food chain through biomagnification.</p>
<p>To test whether domestic processing could dislodge the compound, the research team, led by Ogechi Irene Eboh-Ajoku of Nnamdi Azikiwe University, collected composite samples of local and imported rice, yellow and white corn, red and white guinea corn, pearl and finger millet, three wheat varieties, and several bean types from five Awka markets between May and August 2024, the peak rainy season when pesticide application is at its highest. The 162 samples were divided into three treatment groups: washing with tap water at ambient temperature around 25 degrees Celsius, mild heating at 50 degrees Celsius for fifteen minutes, and boiling at 100 degrees Celsius for ten minutes. These conditions were chosen to mirror real household practices, from warm-water pre-washing to standard cooking durations.</p>
<p>Residues were extracted using a modified QuEChERS method, a technique prized for being quick, easy, cheap, effective, rugged, and safe, and then quantified with gas chromatography coupled to mass spectrometry. The analytical method showed strong performance: calibration curves spanning 0.005 to 1.000 milligrams per kilogram displayed correlation coefficients between 0.992 and 0.999, detection limits ranged from 0.001 to 0.005 milligrams per kilogram, and mean recovery of spiked samples reached 95 percent. Procedural blanks and calibration verification standards were run throughout to guard against background contamination. Dieldrin was identified by matching retention times and mass spectra against certified reference standards and the National Institute of Standards and Technology spectral library.</p>
<p>The results were sobering. Concentrations ranged from undetectable to 0.376 milligrams per kilogram, with white soft wheat showing the highest contamination, followed by iron white beans at 0.258 milligrams per kilogram and brown beans at 0.244. Local Anam rice carried 0.030 milligrams per kilogram, more than double the 0.013 found in imported foreign rice, a disparity the authors attribute to differences in agricultural practices, pesticide application intensity, storage conditions, and the stricter adherence to international residue standards that imported rice may enjoy. Yellow corn registered 0.071 milligrams per kilogram. Across all treatment conditions, approximately 66.6 percent of food crop samples met or exceeded the FAO/WHO maximum residue limit of 0.01 milligrams per kilogram.</p>
<p>Thermal processing barely moved the needle. Local rice held steady at 0.030 milligrams per kilogram through ambient washing and 50-degree heating, dipping only slightly to 0.027 after boiling. Iron white beans fell from 0.258 to 0.213 milligrams per kilogram at 100 degrees, a marginal reduction that leaves the residue far above the safety threshold. An independent samples t-test comparing concentrations at 50 and 100 degrees found no statistically significant difference, with p-values of 0.128 to 0.135 across standard, unequal-variance, Monte Carlo permutation, and exact permutation tests. The explanation lies in dieldrin&#8217;s molecular architecture: as a highly chlorinated cyclodiene compound with a rigid structure and strong carbon-chlorine bonds, it resists breakdown at kitchen-scale temperatures. Meaningful degradation of such compounds typically requires advanced oxidation conditions far beyond any cooking process.</p>
<p>Perhaps the most intriguing finding concerns the cooking wastewater itself. Dieldrin is poorly soluble in water, yet the researchers detected it in the liquid left behind after washing, at concentrations ranging from 0.001 to 0.017 milligrams per liter depending on the crop and temperature. In some samples, such as white hard wheat, wastewater concentrations rose from 0.004 to 0.015 milligrams per liter as heating progressed. The authors caution that these variations were not statistically significant and likely represent minor numerical fluctuations rather than thermally enhanced desorption. Still, the detection of dieldrin in wastewater suggests that thermal washing primarily induces partitioning, redistributing a fraction of the compound from the food matrix into the aqueous phase, rather than eliminating it. That raises the possibility of secondary exposure pathways, since contaminated cooking water is often discarded into household surroundings or reused.</p>
<p>The health risk calculations are where the study becomes genuinely alarming. Using United States Environmental Protection Agency guidelines, the team estimated daily intakes based on a consumption rate of 0.33 kilograms per person per day and a standard adult body weight of 65 kilograms, then divided by the World Health Organization&#8217;s acceptable daily intake of 0.0001 milligrams per kilogram of body weight to yield a hazard index. Any value above unity signals potential non-carcinogenic risk. At ambient temperature, white soft wheat scored a hazard index of 19.09 and white hard wheat 10.92, while iron white beans reached 13.10 and brown beans 12.39. Local rice and yellow corn also exceeded the threshold, at 1.52 and 3.60 respectively. Even after boiling, local rice (1.37), yellow corn (3.35), white soft wheat (18.02), white hard wheat (10.71), iron white beans (10.81), and brown beans (10.71) remained above the risk line. The authors acknowledge that their uniform consumption and body weight assumptions are conservative and do not capture variability among sensitive populations such as children, meaning actual risks for some groups could differ.</p>
<p>The toxicological stakes are considerable. Dieldrin is associated with carcinogenic, teratogenic, endocrine-disrupting, and reproductive effects. Experimental studies cited in the paper show it interferes with steroidogenesis, estrogen signaling pathways, and thyroid hormone homeostasis, contributing to reduced fertility, altered fetal development, spontaneous abortion, and gestational abnormalities. Its teratogenic effects include skeletal malformations, cleft palate, and increased fetal resorption. Acute neurotoxicity arises from the compound&#8217;s ability to interfere with neuronal action potentials, producing symptoms ranging from headache, dizziness, and nausea to muscle twitching, tremors, convulsions, and, in extreme cases, death. Because dieldrin resists both abiotic and microbial degradation, it poses long-term ecological hazards to fish, birds, mammals, and humans alike.</p>
<p>A multivariate layer of the analysis added further texture. Bray-Curtis hierarchical clustering grouped the food crops into four clusters with remarkably high similarity coefficients of 98 to 99 percent, pairing local rice with iron white beans and white soft wheat with yellow corn, among others. The wastewater samples formed three distinct clusters. The authors interpret these groupings as reflecting similar contamination levels rather than confirmed shared sources, noting that dieldrin&#8217;s hydrophobicity and persistence promote consistent adsorption across different crop matrices, and that shared post-harvest handling and market aggregation may contribute. The study&#8217;s limitations are acknowledged: sampling was confined to Awka markets during a single four-month window, so regional and seasonal variation remains unexplored. Even so, the baseline it establishes is unsettling. If routine cooking cannot mitigate exposure to a pesticide banned across much of the world, the burden of protection falls squarely on monitoring, agricultural reform, and regulatory enforcement, and the researchers argue that without targeted interventions, chronic dietary exposure will continue to accumulate among populations who depend on these staples most.</p>
<p><strong>Subject of Research:</strong> Dieldrin pesticide residues and dietary health risks in Nigerian staple crops and cooking wastewater</p>
<p><strong>Article Title:</strong> Multivariate analysis and dietary risk assessment of dieldrin in Nigerian staple crops and cooking wastewater</p>
<p><strong>Article References:</strong> Eboh-Ajoku, O. I., Nduka, J. K., Anagboso, M. O., &amp; Offor, C. C. (2026). Multivariate analysis and dietary risk assessment of dieldrin in Nigerian staple crops and cooking wastewater. <em>Discover Chemistry, 3</em>(1), Article 556. <a href="https://doi.org/10.1007/s44371-026-01012-w" rel="noopener noreferrer">https://doi.org/10.1007/s44371-026-01012-w</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44371-026-01012-w" rel="noopener noreferrer">10.1007/s44371-026-01012-w</a></p>
<p><strong>Keywords:</strong> dieldrin, organochlorine pesticides, food safety, Nigeria, staple crops, thermal processing, GC-MS, QuEChERS, hazard index, dietary exposure, bioaccumulation, maximum residue limits</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">223434</post-id>	</item>
		<item>
		<title>New LC–MS/MS Method Tracks 18 Anthelmintic Residues in Meat and Seafood</title>
		<link>https://scienmag.com/new-lc-ms-ms-method-tracks-18-anthelmintic-residues-in-meat-and-seafood/</link>
		
		<dc:creator><![CDATA[William Thompson]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 11:46:57 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[advanced mass spectrometry in food analysis]]></category>
		<category><![CDATA[analytical methods for food contaminants]]></category>
		<category><![CDATA[anthelmintic residue detection]]></category>
		<category><![CDATA[anthelmintics]]></category>
		<category><![CDATA[fishery products]]></category>
		<category><![CDATA[food matrix analysis for drug residues]]></category>
		<category><![CDATA[food safety]]></category>
		<category><![CDATA[food safety laboratory techniques]]></category>
		<category><![CDATA[LC-MS/MS]]></category>
		<category><![CDATA[LC-MS/MS food safety testing]]></category>
		<category><![CDATA[livestock products]]></category>
		<category><![CDATA[mass spectrometry]]></category>
		<category><![CDATA[matrix-matched calibration]]></category>
		<category><![CDATA[maximum residue limits]]></category>
		<category><![CDATA[maximum residue limits enforcement]]></category>
		<category><![CDATA[multi-residue drug analysis in meat and seafood]]></category>
		<category><![CDATA[niclosamide]]></category>
		<category><![CDATA[parasitic drug residue monitoring]]></category>
		<category><![CDATA[quantitative detection of anthelmintics]]></category>
		<category><![CDATA[QuEChERS]]></category>
		<category><![CDATA[regulatory compliance for veterinary drugs]]></category>
		<category><![CDATA[residue monitoring]]></category>
		<category><![CDATA[trace drug residues in animal products]]></category>
		<category><![CDATA[veterinary drug residues]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=193886</guid>

					<description><![CDATA[Korean researchers have developed and validated a QuEChERS-based LC–MS/MS method that simultaneously quantifies 18 veterinary anthelmintic residues across nine livestock and fishery food matrices.]]></description>
										<content:encoded><![CDATA[<p>Every year, livestock and farmed fish around the world receive billions of doses of anthelmintics, the drugs that rid animals of parasitic worms. These compounds keep herds healthy and aquaculture operations profitable, but they leave a quieter legacy in the food on our plates: trace residues embedded in muscle, milk, eggs, and fat. Regulators set maximum residue limits, or MRLs, to keep exposure within safe bounds, yet enforcement depends entirely on whether laboratories can actually measure the drugs in question. In Korea, that chain has had a weak link. For widely used substances such as niclosamide, only qualitative screening methods existed, meaning inspectors could confirm a drug&#8217;s presence but not reliably quantify how much of it remained in a steak or a fillet of flatfish.</p>
<p>A team at Korea&#8217;s National Institute of Food and Drug Safety Evaluation, led by Ye-Bin Jang and corresponding author Mi-Ok Kim, has now closed that gap. Writing in Food Science of Animal Resources, the researchers describe an optimized liquid chromatography–tandem mass spectrometry (LC–MS/MS) method that simultaneously quantifies 18 structurally diverse anthelmintic and antiparasitic compounds across nine animal-derived food matrices: beef, pork, chicken, eggs, milk, porcine fat, flatfish, eel, and shrimp. Beyond niclosamide, the method brings rarely monitored compounds such as derquantel, bithionol, and nitroxinil into quantitative reach, expanding both the chemical and the biological scope of routine residue surveillance.</p>
<p>The analytical challenge is formidable because the target compounds span six major chemical classes with very different physicochemical personalities. Benzimidazoles such as triclabendazole attack larval and adult parasites alike; salicylanilides including closantel, rafoxanide, and niclosamide also knock down ectoparasites like ticks; tetrahydropyrimidines such as morantel and pyrantel act as nicotinic receptor agonists; imidazothiazoles like levamisole target roundworms; and the macrocyclic lactones—abamectin, ivermectin, doramectin, eprinomectin, and moxidectin—are large, extremely lipophilic molecules that cling stubbornly to fatty tissue. Add praziquantel and nitroxinil to the list, and a single run must coax compounds ranging from small polar bases to sprawling lipid-like structures through the same column and ion source.</p>
<p>Sample preparation began with the QuEChERS approach—Quick, Easy, Cheap, Effective, Rugged, and Safe—which uses salt-induced phase separation to pull analytes from homogenized tissue into acetonitrile. The team compared three salt formulations: the unbuffered Original method with magnesium sulfate and sodium chloride, the citrate-buffered EN 15662 version, and the acetate-buffered AOAC variant. The verdict was decisive. In flatfish, the buffered methods produced calibration curves for abamectin with coefficients of determination of just 0.2304 and 0.0385—essentially useless—while the Original salts delivered R² values above 0.99 for all 18 compounds. The researchers attribute the failure of buffered systems to citrate and acetate ions altering salting-out efficiency and promoting co-extraction of lipids, proteins, and phospholipids, which then suppress ionization of the lipophilic macrocyclic lactones during electrospray.</p>
<p>Extraction used acetonitrile acidified with 0.1% formic acid, a combination known to improve recovery and precision for veterinary drugs in animal tissue. Clean-up followed with dispersive solid-phase extraction, and here the sorbent recipe mattered enormously. C18 alone left chlorfluazuron, levamisole, triclabendazole, and keto-triclabendazole with substandard linearity; PSA alone failed for chlorfluazuron and triclabendazole. Only the pairing of 400 milligrams of PSA with 400 milligrams of C18, plus 1,200 milligrams of magnesium sulfate, achieved R² values of at least 0.99 across the entire panel. PSA&#8217;s amino groups mop up organic acids and sugars, while C18 adsorbs nonpolar fats and fat-soluble interferences—a synergy the team standardized by purifying a fixed 8-milliliter extract volume for every matrix.</p>
<p>On the instrument side, chromatographic separation ran on a Waters Xbridge C18 column with a gradient of water containing 5 millimolar ammonium formate and 0.1% formic acid against acetonitrile with 0.1% formic acid. Retention times spanned from 1.9 minutes for morantel to 6.4 minutes for ivermectin. Detection used a Shimadzu LCMS-8060 triple quadrupole in multiple reaction monitoring mode, switching between positive and negative electrospray ionization, with precursor ions, product ions, and collision energies optimized by direct infusion of standards. The most intense transition served for quantification while secondary transitions confirmed identity.</p>
<p>Matrix effects proved to be the method&#8217;s central analytical adversary. Co-extracted lipids and proteins distort electrospray ionization, and the team measured signal changes of at least 20% for most analytes. Ion suppression dominated, ranging down to −96.08%, with abamectin, levamisole, pyrantel, and triclabendazole suppressed in every single matrix. Moxidectin, by contrast, showed ion enhancement in several foods, including chicken, milk, and all three fishery products. Rather than turning to isotope-labeled internal standards—impractical and costly for an 18-compound panel—the researchers built matrix-matched calibration curves in blank extracts of each food, so standards and samples ionize under identical chemical conditions and systematic signal bias cancels out at the quantification stage.</p>
<p>Validated under CODEX guideline CAC/GL-71, the method met every performance criterion. Matrix-matched calibration curves exceeded R² of 0.99 for all compounds in all nine matrices. Limits of quantification ranged from 0.0033 to 0.0054 milligrams per kilogram, all below half of the established MRLs. Intraday recovery and precision across the matrices fell between 72.0 and 119.1% with coefficients of variation no higher than 18.2%, comfortably inside CODEX windows, and interday testing on three consecutive days with two analysts held recoveries between 72.0 and 118.7% with CVs at or below 19.0%.</p>
<p>To test real-world utility, the team analyzed 60 market samples—30 livestock and 30 fishery products chosen for high Korean consumption. None of the 18 target analytes was detected, a reassuring snapshot of the domestic supply, though the authors stress that continued surveillance remains essential. The method&#8217;s true significance lies in what it enables going forward: quantitative enforcement for drugs like niclosamide that previously escaped numeric scrutiny, a single validated workflow spanning meat, dairy, eggs, and seafood, and a technical foundation for setting and revising safety standards. As veterinary drug use intensifies globally and resistant parasites push dosing upward, tools like this one turn regulatory limits from paper promises into measurable, enforceable protections for the food supply.</p>
<p><strong>Subject of Research:</strong> Development and validation of a QuEChERS-based LC–MS/MS method for quantifying multiclass veterinary anthelmintic residues in animal-derived foods</p>
<p><strong>Article Title:</strong> Optimized LC–MS/MS method for simultaneous determination of multiclass veterinary anthelmintic residues in animal-derived matrices</p>
<p><strong>Article References:</strong> Optimized LC–MS/MS method for simultaneous determination of multiclass veterinary anthelmintic residues in animal-derived matrices. (n.d.). <a href="https://doi.org/10.1007/s44463-026-00098-1" rel="noopener noreferrer">https://doi.org/10.1007/s44463-026-00098-1</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44463-026-00098-1" rel="noopener noreferrer">10.1007/s44463-026-00098-1</a></p>
<p><strong>Keywords:</strong> anthelmintics, LC-MS/MS, veterinary drug residues, QuEChERS, food safety, maximum residue limits, matrix-matched calibration, livestock products, fishery products, niclosamide, mass spectrometry, residue monitoring</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">193886</post-id>	</item>
		<item>
		<title>Fungicide Residues Found in Nearly All Saudi Grape Samples, But Health Risk Mostly Low</title>
		<link>https://scienmag.com/fungicide-residues-found-in-nearly-all-saudi-grape-samples-but-health-risk-mostly-low/</link>
		
		<dc:creator><![CDATA[Daisy Hatcher]]></dc:creator>
		<pubDate>Thu, 10 Sep 2026 23:56:10 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[analytical methods for pesticide detection]]></category>
		<category><![CDATA[dietary risk assessment]]></category>
		<category><![CDATA[dietary risk assessment of pesticide residues]]></category>
		<category><![CDATA[food safety]]></category>
		<category><![CDATA[food safety standards for pesticide residues]]></category>
		<category><![CDATA[fungicide residue analysis in grapes]]></category>
		<category><![CDATA[fungicide use in Middle Eastern viticulture]]></category>
		<category><![CDATA[grape berries]]></category>
		<category><![CDATA[grape consumption health risks]]></category>
		<category><![CDATA[grape leaves]]></category>
		<category><![CDATA[impact of fungicides on public health]]></category>
		<category><![CDATA[LC-MS/MS]]></category>
		<category><![CDATA[maximum residue limits]]></category>
		<category><![CDATA[pesticide regulation compliance in food]]></category>
		<category><![CDATA[pesticide residues]]></category>
		<category><![CDATA[pyraclostrobin]]></category>
		<category><![CDATA[QuEChERS]]></category>
		<category><![CDATA[raisins]]></category>
		<category><![CDATA[residue levels in grape-derived products]]></category>
		<category><![CDATA[resistance development in fungal pathogens]]></category>
		<category><![CDATA[Saudi Arabia]]></category>
		<category><![CDATA[Saudi Arabia grape safety]]></category>
		<category><![CDATA[strobilurin fungicide contamination]]></category>
		<category><![CDATA[strobilurin fungicides]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=192068</guid>

					<description><![CDATA[A validated LC–MS/MS survey of 200 grape products in Najran, Saudi Arabia found strobilurin fungicide residues in most samples, with no formal non-compliance but a child acute-exposure flag for pyraclostrobin in fresh grapes.]]></description>
										<content:encoded><![CDATA[<p>Grapes are one of the world&#8217;s most versatile food crops, arriving on dinner tables as fresh berries, sweet dried raisins, and tender vine leaves wrapped around rice and meat in traditional dishes across the Middle East and beyond. In Saudi Arabia, where grape production reached roughly 125.5 thousand tons in 2024 from about 7.3 million trees, these commodities are everyday foods, and their safety is a matter of public health. A new study from Najran University and collaborating institutions has now delivered one of the most detailed looks yet at strobilurin fungicide residues across all three grape-derived food forms, combining an adapted analytical workflow with regulatory compliance checks and a full dietary risk assessment for adults and children.</p>
<p>The research, published in the Journal of Saudi Chemical Society, focused on seven strobilurin fungicides: azoxystrobin, dimoxystrobin, fluoxastrobin, kresoxim-methyl, picoxystrobin, pyraclostrobin, and trifloxystrobin. These compounds belong to the quinone outside inhibitor group, designated FRAC Code 11, and they work by blocking mitochondrial respiration in fungi at the cytochrome bc1 complex. That single-site mode of action makes them highly effective against downy mildew, powdery mildew, and Botrytis bunch rot, but it also carries a well-documented risk of fungal resistance, which is why vineyards often alternate active ingredients. Crucially for food safety monitoring, the same potency means residues can persist into harvested fruit, leaves, and dried products.</p>
<p>The team analyzed 200 retail samples purchased in Najran during 2025: 100 fresh grape berry samples, 50 grape leaf samples, and 50 raisin samples, all marketed as domestically produced. Berry and leaf samples were identified as Vitis vinifera L., cv. Thompson Seedless. Using a QuEChERS extraction coupled to liquid chromatography with tandem mass spectrometry, the researchers validated the method separately for each commodity, reflecting the very different chemistry of high-moisture berries, sugary dried raisins, and structurally complex leaves. Matrix-matched calibration achieved correlation coefficients between 0.9948 and 0.9995, recoveries ranged from 80.6 to 102.1 percent with relative standard deviations of 4.0 to 13.8 percent, and verified limits of quantification reached as low as 1 microgram per kilogram in berries and raisins.</p>
<p>Getting reliable numbers from each matrix required tailored preparation. For raisins, the team tested three rehydration volumes and settled on 5 milliliters of water per 5 grams of sample, which delivered recoveries between 90.87 and 96.19 percent with minimal matrix effects. Grape leaves proved the toughest challenge of all: co-extracted leaf compounds suppressed the mass spectrometric signal by as much as 33 percent for kresoxim-methyl. The solution combined dispersive solid-phase extraction cleanup with a tenfold dilution of the final extract, cutting mean suppression to 14.06 percent and yielding excellent precision, at the cost of higher detection limits in that matrix.</p>
<p>The occurrence findings are striking. At least one target strobilurin was detected in 88.0 percent of grape berry samples, 100 percent of grape leaf samples, and 82.0 percent of raisin samples. Multiple residues appeared together in 36.0 percent of berry samples and 26.0 percent of leaf samples, though raisins showed no co-occurrence. Azoxystrobin was the most frequently detected compound in berries at 40.0 percent, while in leaves azoxystrobin and pyraclostrobin led at 44.0 and 42.0 percent, respectively. Kresoxim-methyl produced the highest individual leaf residue at 1.338 milligrams per kilogram, and trifloxystrobin peaked at 1.141 milligrams per kilogram in berries. Fluoxastrobin, dimoxystrobin, and picoxystrobin were never detected in any market sample.</p>
<p>Compliance results tell a more reassuring story than the raw detection rates might suggest. In grape berries, only one kresoxim-methyl result, at 1.114 milligrams per kilogram, directly exceeded the Saudi Food and Drug Authority limit of 1.0 milligram per kilogram. But applying the SANTE decision rule, which subtracts an expanded measurement uncertainty of 50 percent from the measured value, the lower decision value fell to 0.557 milligrams per kilogram, comfortably below the limit. Not a single grape berry sample was therefore classified as non-compliant. In raisins, all measurable trifloxystrobin, pyraclostrobin, and kresoxim-methyl residues sat below their applicable SFDA maximum residue limits, while azoxystrobin in raisins was reported descriptively because no applicable Saudi or Codex limit exists for that combination.</p>
<p>Grape leaves were the exception that reveals a regulatory gap. Because neither the SFDA nor Codex has established maximum residue limits for grape leaves, the researchers used European Union limits for grape leaves and similar species purely as external comparative references, explicitly not as formal Saudi non-compliance findings. Against those EU values, the picture was sobering: all 22 azoxystrobin-positive and all 13 trifloxystrobin-positive samples exceeded reference limits of 0.01 milligrams per kilogram, with 90.9 percent and 92.3 percent of positive samples respectively remaining above the limits even after uncertainty adjustment. Nineteen of 21 pyraclostrobin-positive samples also exceeded the 0.02 milligram per kilogram reference. The authors argue these findings support clearer regulatory guidance for grape leaves, a commodity consumed in substantial quantities yet essentially invisible in national residue standards.</p>
<p>Dietary risk assessment used the EFSA PRIMo revision 3.1 consumption model, with conservative surrogate scenarios for grape leaves and raisins where direct consumption data were lacking. Chronic exposure results were uniformly reassuring: every estimate for the four detected fungicides stayed below 0.35 percent of the acceptable daily intake, with pyraclostrobin producing the highest chronic estimates across all three commodities. Acute exposure was assessed only for trifloxystrobin and pyraclostrobin, the two compounds with established acute reference doses. Here one result stands out: pyraclostrobin in grape berries reached 179.1 percent of the acute reference dose for children under the direct PRIMo scenario, while adult exposure remained at 83.3 percent. Notably, all pyraclostrobin residues in berries were below the Saudi maximum residue limit, demonstrating that regulatory compliance and acute dietary risk are genuinely separate endpoints. All grape leaf and raisin acute estimates remained well below 100 percent under the stated assumptions.</p>
<p>The authors are careful about the limits of their conclusions. Because the samples were collected from Najran outlets without farm-level traceability or nationally stratified design, the findings describe that specific retail market in 2025 and should not be read as national prevalence estimates. Farm-level spray records were unavailable, so explanations for the commodity-specific patterns, such as canopy interception driving higher leaf residues or dissipation during drying lowering raisin residues, remain plausible interpretations rather than proven mechanisms. Still, the study&#8217;s core contribution is clear: by integrating a validated matrix-adapted analytical method, rigorous uncertainty-adjusted compliance evaluation, and tiered dietary exposure modeling, it shows that widespread residue detection does not automatically mean widespread risk, while simultaneously flagging pyraclostrobin in fresh grapes for children as a genuine acute-exposure signal and grape leaves as a standards vacuum that regulators would be wise to fill.</p>
<p>Beyond the headline findings, the study illustrates why commodity-specific validation matters so much in residue chemistry. The three matrices differ not only in water content but in sugar concentration, pigment load, and structural complexity, all of which alter how efficiently analytes are extracted and how strongly co-extracted compounds interfere with ionization in the mass spectrometer. The authors deliberately avoided internal standards, relying instead on separate matrix-matched calibration for each commodity, a choice that compensates for matrix-induced signal changes but demands careful validation for every new food type. Their use of multi-walled carbon nanotubes alongside conventional PSA and C18 sorbents during dispersive solid-phase extraction reflects a broader trend toward carbon-based cleanup materials that strip pigments and waxes from dark, leafy matrices without excessive analyte loss.</p>
<p>The analytical framework also highlights the distinction between three outcomes that are often conflated in public discussion: detection, non-compliance, and health risk. A residue can be present at measurable levels yet remain far below any regulatory threshold, and a sample can technically exceed a limit while still passing a compliance decision once measurement uncertainty is applied, as happened with the single kresoxim-methyl finding in berries. Conversely, the pyraclostrobin acute estimate for children exceeded 100 percent of the acute reference dose even though every berry sample met the Saudi maximum residue limit, underscoring that limits are not designed to guarantee zero acute risk under all consumption scenarios. The acute reference dose represents a single-day exposure threshold, and the 179.1 percent figure derives from conservative model assumptions rather than observed illness.</p>
<p>Methodologically, the work aligns with the European Commission SANTE guidance, the de facto international benchmark for pesticide residue method validation, covering linearity, recovery, precision, matrix effects, and expanded uncertainty. The verified limits of quantification, ranging from 1 to 50 micrograms per kilogram depending on the matrix, sit comfortably within the sensitivity typically required for enforcement monitoring at low regulatory limits. The finding that drying can either diminish or concentrate residues, depending on the compound and process, echoes earlier processing studies on azoxystrobin and kresoxim-methyl in raisins and reinforces the case for analyzing foods as actually consumed rather than extrapolating from raw commodity data.</p>
<p>Finally, the grape leaf results carry implications beyond Saudi Arabia. Grape leaves are widely eaten across the Mediterranean, Middle East, and Caucasus regions, yet they remain absent from most national residue registries, which typically focus on the fruit. Without commodity-specific limits, regulators cannot formally classify violations, consumers receive no tailored protection, and exporters face ambiguous standards. The authors&#8217; call for dedicated maximum residue limits for this traditional food commodity is a concrete, actionable outcome of an otherwise routine monitoring exercise.</p>
<p><strong>Subject of Research:</strong> Strobilurin fungicide residues in grape berries, raisins, and grape leaves from the Saudi retail market, with dietary risk assessment</p>
<p><strong>Article Title:</strong> LC–MS/MS analysis of seven strobilurin fungicides in grape berries, raisins, and grape leaves: occurrence, compliance, and dietary risk assessment</p>
<p><strong>Article References:</strong> Alhamami, M. A. M., Algethami, J. S., Alqahtany, F. Z., Al-Marri, A. H., Alzahrani, A. Y., Ramadan, M. F., &amp; Abdallah, O. I. (2026). LC–MS/MS analysis of seven strobilurin fungicides in grape berries, raisins, and grape leaves: occurrence, compliance, and dietary risk assessment. <em>Journal of Saudi Chemical Society, 30</em>(5), Article 67. <a href="https://doi.org/10.1007/s44442-026-00122-5" rel="noopener noreferrer">https://doi.org/10.1007/s44442-026-00122-5</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44442-026-00122-5" rel="noopener noreferrer">10.1007/s44442-026-00122-5</a></p>
<p><strong>Keywords:</strong> strobilurin fungicides, LC-MS/MS, QuEChERS, grape berries, raisins, grape leaves, pesticide residues, maximum residue limits, dietary risk assessment, food safety, Saudi Arabia, pyraclostrobin</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">192068</post-id>	</item>
	</channel>
</rss>
