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Heavy Metal Index
A bowl of pale broth with thin wavy ramen noodles and scallion slices illustrating ramen soup ingredient context.

Heavy metals in Ramen soup

A prepared broth with noodles, covered through soup measurements and distinct dry noodle studies. The evidence preserves differences in food form, preparation and measurement basis.

Evidence review in progress. Compare values only when the product form, measurement basis, and metal species match.

0 related source records are associated with this category. This is a coverage count, not a measure of scientific confidence. References identify works cited in the text.

Overview

This provisional ingredient page records source-specific measurements for ramen soup. Its population contamination profile has not been synthesized. See Ingredients for the ingredient inventory.

Heavy metal contamination profile

AnalyteCoverageTypical (ppb)ConfidenceKey sources
lead (Pb)pending———
cadmium (Cd)pending———
inorganic arsenic (iAs)pending———
total arsenic (tAs)pending———
total mercury (tHg)pending———
nickel (Ni)pending———
aluminum (Al)pending———
chromium (Cr)pending———
tin (Sn)pending———
uranium (U)pending———

The profile fields remain pending until an evidence synthesis supports a population estimate. Source observations are listed separately below.

Reported measurements

The population contamination profile on this page is unchanged. These notes do not set a typical value, an upper-tail value, or a certification limit.

Instant noodles, not prepared soup

Every figure below is an instant noodle measurement. None is prepared ramen soup.

Katyal and colleagues ground dry noodles together with the dry seasoning. Lead was 0.003 to 0.250 mg/kg and cadmium 0.009 to 0.149 mg/kg (30 packets). Arsenic in that study is chart-only, so no arsenic number is copied. Analysis of lead, arsenic, and cadmium concentrations in instant noodles within the Canadian market

Awofolu and Kakoma report dry weight. Period means for arsenic are 1.7, 1.4, 0.8, and 1.5 mg/kg. Table 6 prints an arsenic overall mean of 3.0 mg/kg, and the abstract prints 1.4 mg/kg. Both are printed. Parentheses in the brand tables are relative standard deviation. No recovery is printed. Contamination and health risk assessment of instant noodles by heavy metals from commercial outlets in Windhoek, Namibia

Elziani and colleagues report Table 1 in ppb. Sample 2 lead is 47.48 ppb. The discussion says samples 2 and 4 exceeded 40 ppb, while the table shows only sample 2 above 25 ppb. The table controls. Assessment of Heavy Metal Concentrations in Instant Noodles from Local Markets in Benghazi, Libya

Bui and colleagues dried noodles at 60 C. Mercury brand means are 0.015 to 0.025 µg/kg even though the table title says mg/kg. Cadmium brand means are 0.020 to 0.023 mg/kg, lead 0.172 to 0.193 mg/kg, total chromium 0.208 to 1.355 mg/kg, and nickel 0.162 to 0.573 mg/kg. n = 80. Chemometric Fingerprinting of Vietnamese Instant Noodle Brands via ICP-MS and Principal Component Analysis

Nasser reports uncooked noodles as sold. Basis is not stated. Lead was 0.121 ppm to 1.143 ppm. Aluminium was 1.284 ppm to 11.250 ppm. The cadmium sentence prints “0.043ppm. to o.o76 ppm”, quoted as printed. Mycobiota, Mycotoxins, and Heavy Metals from Instant Noodles in Saudi Arabia

Paul and colleagues excluded the seasoning sachet and dried the noodle cake. This is a preprint, not peer reviewed. The table prints mg kg-1. Lead was 0.033 ± 0.026 mg/kg (0.013 to 0.092 mg/kg). Cadmium was 0.030 ± 0.051 mg/kg (0.005 to 0.155 mg/kg). Total chromium was 0.151 ± 0.105 mg/kg. Nickel was 0.168 ± 0.060 mg/kg. n = 102 packets. Health risk assessment of carcinogenic and non-carcinogenic heavy metal exposure from commercial instant noodles in Bangladesh

StudyDesignMetalFindingUnits and basisn
Analysis of lead, arsenic, and cadmium concentrations in instant noodles within the Canadian marketNoodle plus dry seasoningLead0.003 to 0.250 mg/kgmg/kg, dry product plus seasoning30 packets
Contamination and health risk assessment of instant noodles by heavy metals from commercial outlets in Windhoek, NamibiaFour periods, dry weightArsenicperiod means 1.7, 1.4, 0.8, and 1.5 mg/kg; Table 6 overall mean 3.0 mg/kg; abstract overall mean 1.4 mg/kgmg/kg, dry wt.48 samples
Assessment of Heavy Metal Concentrations in Instant Noodles from Local Markets in Benghazi, LibyaSeven market samplesLeadsample 2 is 47.48 ppbppb, dried powdered noodle7
Chemometric Fingerprinting of Vietnamese Instant Noodle Brands via ICP-MS and Principal Component AnalysisFour brands, dried at 60 CMercury0.015 to 0.025 µg/kgµg/kg on the mercury row; table title says mg/kg80
Mycobiota, Mycotoxins, and Heavy Metals from Instant Noodles in Saudi ArabiaUncooked, as soldLead0.121 ppm to 1.143 ppmppm, basis not stated42
Health risk assessment of carcinogenic and non-carcinogenic heavy metal exposure from commercial instant noodles in BangladeshCake only, sachet excluded, preprintLead0.033 ± 0.026 mg/kgmg/kg; table prints mg kg-1; dry cake102 packets

Ramen soup and gut studies of the metals named on this page

Ramen soup is a prepared broth with noodles. The studies below match lead, cadmium, arsenic, mercury, aluminum, chromium, and nickel using biomarkers, drinking water, larval zebrafish, a review, hair, and hexavalent chromium salts. Broth, noodle, and seasoning are not separated in any of those models. A soup specification should keep the laboratory species.

Sitarik et al. 2020 measured tooth lead and stool microbiota at 1 month and 6 months in 146 maternal-child pairs in the Detroit-area WHEALS cohort. In utero tooth lead was associated with fungal community composition at 1 month. Lead was not associated with overall bacterial community structure. Taxon-level bacterial shifts were higher Collinsella at 1 month, higher Bilophila at 6 months, and lower Bacteroides. The direction is lead exposure toward microbiota composition. Tooth lead is a biomarker, not a concentration in this ingredient.

Eggers et al. 2023, per WikiBiome source summary, DOI 10.3389/fmicb.2023.1193919, followed 123 children in the Mexico City PROGRESS cohort. Maternal blood lead means were 33.6 µg/L in the second trimester and 34.9 µg/L in the third. Stool metagenomes at ages 9 to 11 showed lower Bacteroides caccae with lead exposure. Weighted quantile sum regression gave a negative overall mixture effect (beta = -0.17) in both trimesters. The direction is prenatal lead toward the childhood gut microbiota. The summary does not support a lead concentration in food.

Liu et al. 2023, per WikiBiome source summary, DOI 10.3389/fvets.2023.1219729, exposed Sprague-Dawley rats to cadmium chloride for 30 days. The note states lower intestinal ZO-1, higher TNF-alpha and IL-6 in intestine and blood, and Muribaculaceae in blood that was absent in the unexposed group. The note does not print the dose or the number of rats. The direction is cadmium toward gut and blood microbiota and barrier markers.

Zhang et al. 2015, per WikiBiome source summary, DOI 10.1021/acs.chemrestox.5b00237, gave mice 10 mg/L cadmium in drinking water for 10 weeks. Firmicutes and gamma-proteobacteria decreased in feces after 4 weeks, and Firmicutes decreased in cecum contents after 10 weeks. The direction is cadmium toward gut microbiota, alongside hepatic energy-metabolism changes in the same animals. The summary does not name a food.

Hoen et al. 2018 related urinary total arsenic at 6 weeks to stool microbiota in 204 infants in the New Hampshire Birth Cohort Study. Urinary total arsenic had median 0.4 µg/L and mean 0.63 µg/L. Feeding-stratified means were 0.5 µg/L in exclusively breastfed infants, 0.9 µg/L in mixed-fed infants, and 1.2 µg/L in formula-only infants. Overall composition was marginally associated with natural-log urinary arsenic after adjustment for feeding and urine specific gravity (pseudo-F 1.85, p = 0.05). The clearest association was in formula-fed males (n = 33, pseudo-F 2.30, p = 0.008). Formula-fed females (n = 23) did not show that association. The direction is an early-life arsenic biomarker toward infant gut microbiota. Urinary arsenic is not a concentration in this ingredient.

Dahan et al. 2018, per WikiBiome source summary, DOI 10.3389/fmicb.2018.01323, exposed larval zebrafish to 10, 50, and 100 ppb arsenic in water for 20 days. Arsenic exposure explained 54.7 percent of the variance in overall bacterial composition. The class 1 integron relative copy number at the highest concentration was 9 times the control value. The note does not state whether the dissolved arsenic was inorganic or total, and it does not give the number of larvae. The direction is arsenic in water toward the larval microbiome. The model is not a human gut, and the summary does not support an arsenic concentration in food.

Giambo et al. 2021, per WikiBiome source summary, DOI 10.3892/wasj.2021.90, screened 600 articles and included 97. For mercury, the note states that methylation and demethylation are a core process in methylmercury metabolism and that microbiota changes have been linked to neurodevelopmental effects in rat offspring. The note does not assign a new sample size to that mercury summary. The direction summarized is microbiota toward methylmercury metabolism, and exposure toward microbiota in the offspring studies. The review does not test this ingredient.

Xiong et al. 2025, per WikiBiome source summary, DOI 10.1038/s41467-025-60508-8, followed 146 mother-infant pairs, with maternal hair trace elements measured in 119 mothers. Shannon diversity of the infant gut at 3 months correlated positively with selenium and negatively with copper. Bifidobacterium relative abundance increased under high aluminum and high manganese together, so the note does not separate aluminum from manganese. The note states that high copper and arsenic may enrich antibiotic resistance genes. Hair concentrations are not printed. The direction is prenatal trace-element biomarkers toward the infant gut. Hair is not a food sample.

Mu et al. 2023 gavaged mice with potassium dichromate at 75 mg/kg for 29 days (n = 60 across three groups). Hexavalent chromium lowered Chao1 diversity from 170.75 ± 15.79 to 87.00 ± 9.55 (p = 0.00029) and Shannon diversity from 4.64 ± 0.68 to 2.64 ± 0.64 (p = 0.0055). Escherichia_Shigella rose from 10.71 percent to 57.75 percent. Seaweed polysaccharide at 200 mg/kg partly reversed the shift. The direction is hexavalent chromium toward gut microbiota. The dose is a gavage dose. It is not a total-chromium concentration in food.

Richardson et al. 2018, per WikiBiome source summary, DOI 10.1038/s41598-018-24931-w, gavaged Sprague-Dawley rats for 5 days with sodium arsenite, cadmium chloride, sodium dichromate, cobalt chloride, or nickel chloride, 5 rats per cohort. The note does not print the milligram doses. Observed OTUs and Shannon diversity were lower for arsenic, chromium, and nickel (p < 0.05). Differential genera numbered 37 for nickel, 17 for arsenic, 5 for cadmium, and 10 for chromium. Sodium dichromate is a hexavalent chromium salt, so the chromium arm is not a total-chromium result. The direction is short oral exposure toward the rat gut microbiota.

Yang et al. 2023 compared 109 occupationally nickel-exposed workers with matched controls. Serum nickel in the exposed group was 5.70 ± 3.21 µg/L, serum uric acid was 355.95 ± 67.87 µmol/L, and uric-acid-lowering bacteria, including Lactobacillus and related taxa, were lower. The direction is occupational nickel toward gut microbiota and then toward a host metabolite. Serum nickel is not a concentration in this ingredient.

Study table

StudyModelMetal and doseMain findingLimitation
Sitarik et al. 2020Human infants; tooth lead and stool; n = 146Lead; tooth biomarker, not a food doseFungal composition at 1 month shifted; overall bacterial structure did notNot this ingredient
Eggers et al. 2023Human children, ages 9 to 11; n = 123Maternal blood lead; means 33.6 and 34.9 µg/LLower Bacteroides caccae; mixture beta = -0.17Per WikiBiome source summary; not this ingredient
Liu et al. 2023Rats; cadmium chloride; 30 daysCadmium; dose not printed in the source noteLower intestinal ZO-1; Muribaculaceae appeared in bloodPer WikiBiome source summary; n and dose unstated
Zhang et al. 2015Mice; drinking water; 10 weeksCadmium; 10 mg/LLower fecal Firmicutes and gamma-proteobacteria by 4 weeksPer WikiBiome source summary; not this ingredient
Hoen et al. 2018Human infants at 6 weeks; n = 204Urinary total arsenic; mean 0.63 µg/LComposition associated with urinary arsenic; strongest in formula-fed males (n = 33)Biomarker study; not a lot concentration
Dahan et al. 2018Larval zebrafish; water; 20 daysArsenic; 10, 50, and 100 ppb; species not stated54.7 percent of composition variance; class 1 integron 9 times controls at the high dosePer WikiBiome source summary; not a human gut and not this ingredient
Giambo et al. 2021Review; 97 of 600 articlesMercury; no new doseMethylation and demethylation described as core to methylmercury metabolism; offspring microbiota changes notedPer WikiBiome source summary; review, not this ingredient
Xiong et al. 2025Mother-infant cohort; n = 146; hair n = 119Hair aluminum, copper, arsenic, manganese, selenium; concentrations not printedInfant Shannon diversity fell with copper; Bifidobacterium rose with high aluminum and manganese togetherPer WikiBiome source summary; hair is not food
Mu et al. 2023Mice; 29-day gavage; n = 60Hexavalent chromium as potassium dichromate; 75 mg/kgChao1 and Shannon fell; Escherichia_Shigella rose from 10.71 percent to 57.75 percentGavage dose; not total chromium in food
Richardson et al. 2018Rats; 5-day gavage; 5 per cohortArsenite, cadmium chloride, sodium dichromate, nickel chloride; doses not printedNickel changed 37 genera; hexavalent chromium changed 10; diversity fell for arsenic, chromium, and nickelPer WikiBiome source summary; chromium arm is hexavalent
Yang et al. 2023Human workers; n = 109Serum nickel 5.70 ± 3.21 µg/L in the exposed groupLower uric-acid-lowering bacteria; higher serum uric acidOccupational exposure; not this ingredient

What remains uncertain

No study cited here fed ramen soup. Dahan and colleagues did not name the arsenic species. The mercury sentence is a review, not a broth measurement, and it does not speciate the mercury in soup. Hexavalent chromium gavage is not total chromium in broth. The aluminum finding is combined with manganese. Occupational serum nickel is not nickel leached into soup.

FDA TDS FY2018–FY2020 source observations

FDA measured the prepared foods named below. Each row describes that food and preparation, not every form of this ingredient. Values are µg/kg (ppb) on the FDA sample basis. ND means not detected; it is not a measured zero. Reporting limits can vary between composites. FY2018-FY2020 TDS Elements Analytical Results

FDA food and preparationAnalyteCompositesDetectedDetected concentrations (ppb)Reporting limits (ppb)
367: Soup, ramen noodles, prepared with watertAs30ND in all composites3
367: Soup, ramen noodles, prepared with waterCd334.5–151
367: Soup, ramen noodles, prepared with waterCr30ND in all composites50
367: Soup, ramen noodles, prepared with waterPb30ND in all composites4
367: Soup, ramen noodles, prepared with watertHg30ND in all composites1
367: Soup, ramen noodles, prepared with waterNi30ND in all composites40
367: Soup, ramen noodles, prepared with waterU30ND in all composites1

References

Works cited in this page’s text, in first-appearance order. See Sources for this page’s source inventory. Each title links to a source record with bibliographic details, reported findings, and document provenance.

  1. Analysis of lead, arsenic, and cadmium concentrations in instant noodles within the Canadian marketKatyal D, Chen D, and Kuo H · BCIT Environmental Public Health Journal · 2020 · doi.org/10.47339/ephj.2020.167Peer-reviewed
  2. Contamination and health risk assessment of instant noodles by heavy metals from commercial outlets in Windhoek, NamibiaOmotayo Rafiu Awofolu and FIS Kakoma · African Journal of Food, Agriculture, Nutrition and Development · 2021 · doi.org/10.18697/ajfand.102.19700Peer-reviewed
  3. Assessment of Heavy Metal Concentrations in Instant Noodles from Local Markets in Benghazi, LibyaEl Ziani N, Ben ghazi R, and Yaghi M · Sebha University Journal of Pure & Applied Sciences · 2024 · doi.org/10.51984/JOPAS.V23I2.3111Peer-reviewed
  4. Chemometric Fingerprinting of Vietnamese Instant Noodle Brands via ICP-MS and Principal Component AnalysisDinh Tri Bui, Ha Minh Duc Tran, and Van Nhan Le · Journal of Food Processing and Preservation · 2025 · doi.org/10.1155/jfpp/9186048Peer-reviewed
  5. Mycobiota, Mycotoxins, and Heavy Metals from Instant Noodles in Saudi ArabiaLaila A. Nasser · Assiut Journal of Agricultural Sciences · 2008 · doi.org/10.21608/ajas.2008.269689Peer-reviewed
  6. Health risk assessment of carcinogenic and non-carcinogenic heavy metal exposure from commercial instant noodles in BangladeshDebneela Paul, Sagar Bhowmik, Sheikh Mohiuddin Samrat, and Sayed M. A. Salam · ChemRxiv preprint · 2026 · doi.org/10.26434/chemrxiv.15009618/v1Preprint
  7. Fetal and early postnatal lead exposure measured in teeth associates with infant gut microbiotaSitarik AR, Arora M, Austin C, Bielak LF, Eggers S, Johnson CC, et al. · Environment International · 2020 · doi.org/10.1016/j.envint.2020.106062Peer-reviewed
  8. Prenatal lead exposure is negatively associated with the gut microbiome in childhoodEggers S, Midya V, Bixby M, Gennings C, Torres-Olascoaga LA, Walker RW, et al. · Frontiers in Microbiology · 2023 · doi.org/10.3389/fmicb.2023.1193919Peer-reviewed
  9. Environmental cadmium exposure alters the internal microbiota and metabolome of Sprague-Dawley ratsLiu S, Deng X, Li Z, Zhou W, Wang G, Zhan J, et al. · Frontiers in Veterinary Science · 2023 · doi.org/10.3389/fvets.2023.1219729Peer-reviewed
  10. Subchronic Exposure of Mice to Cadmium Perturbs Their Hepatic Energy Metabolism and Gut MicrobiomeSongbin Zhang, Yuanxiang Jin, Zhaoyang Zeng, Zhenzhen Liu, and Zhengwei Fu · Chemical Research in Toxicology · 2015 · doi.org/10.1021/acs.chemrestox.5b00237Peer-reviewed
  11. Sex-specific associations of infants’ gut microbiome with arsenic exposureAnne G. Hoen, Juliette C. Madan, Zhigang Li, Modupe Coker, Sara N. Lundgren, Hilary G. Morrison, et al. · Scientific Reports · 2018 · doi.org/10.1038/s41598-018-30581-9Peer-reviewed
  12. Exposure to arsenic alters the microbiome of larval zebrafishDahan D, Jude BA, Lamendella R, Keesing F, and Perron GG · Frontiers in Microbiology · 2018 · doi.org/10.3389/fmicb.2018.01323Peer-reviewed
  13. Influence of toxic metal exposure on the gut microbiotaGiambo F, Italia S, Teodoro M, Briguglio G, Furnari N, Catanoso R, et al. · World Academy of Sciences Journal · 2021 · doi.org/10.3892/wasj.2021.90Peer-reviewed
  14. Prenatal exposure to trace elements impacts mother-infant gut microbiome, metabolome and resistome during the first year of lifeXiong S, Xie B, Yin N, Zhu H, Gao H, Xu X, et al. · Nature Communications · 2025 · doi.org/10.1038/s41467-025-60508-8Peer-reviewed
  15. Seaweed polysaccharide relieves hexavalent chromium-induced gut microbial homeostasisMu J, Guo Z, Wang X, Wang X, Fu Y, Li X, et al. · Frontiers in Microbiology · 2023 · doi.org/10.3389/fmicb.2022.1100988Peer-reviewed
  16. Exposure to toxic metals triggers unique responses from the rat gut microbiotaRichardson JB, Dancy BCR, Horton CL, Lee YS, Madejczyk MS, Xu Z, et al. · Scientific Reports · 2018 · doi.org/10.1038/s41598-018-24931-wPeer-reviewed
  17. Nickel exposure induces gut microbiome disorder and serum uric acid elevationJinfeng Yang, Pengya Feng, Zhenmin Ling, Aman Khan, Xing Wang, Yanli Chen, et al. · Environmental Pollution, Vol. 324, 121349 · 2023 · doi.org/10.1016/j.envpol.2023.121349Peer-reviewed
  18. FY2018-FY2020 TDS Elements Analytical ResultsU.S. Food and Drug Administration · FDA Total Diet Study · 2022 · www.fda.govDataset

Sources

Sources catalogued for this page. The last column says how each source is used here.

#CitationYearTypeUsed on this page for
1FDA 2022. FY2018-FY2020 TDS Elements Analytical Results, FDA Total Diet Study2022Government datasetUS-FDA Pb, Cd, tAs, iAs, tHg, Ni, Cr, U, Sb occurrence in 3276 prepared food, beverage and water composites across 307 TDS foods, FY2018-FY2020 US collections (n=3276)

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