Skip to content
Heavy Metal Index

Arsenic in Rice and Rice-Based Products with Regard to

Source

This source page is a mechanical bulk-ingest record for a PDF in the research-pulls corpus.

Page snapshot
Cited by7 pages
Metals measured5
Evidence tierB
Year2024

Overview

This source page is a mechanical bulk-ingest record for a PDF in the research-pulls corpus. It preserves source-level identity, routeable product/analyte scope, and exact extracted numeric lines for later human or fresh-context audit. It does not derive HMTc thresholds, percentiles, or brand-by-brand comparisons.

Key numbers

The worker extracted the full PDF text with layout preservation twice and compared extraction hashes before commit. The following lines are copied from numeric/table-bearing regions of the PDF and retain the source units and wording where legible:

  • was to assess the risk of its ingestion, assuming that it constitutes 67.7%, 72.7%, or 90% of tAs. In all
  • about 48 million hectares of rice. Rice occupies 11% of the global cultivated area (Asia
  • 24%) (1,2). As a cereal grain, it is the most important staple food for a large portion of
  • distributed under the terms and mean rice consumption per person stands at 67.5 kg as of 2023. This translates into a daily
  • around 0.40–0.65 kg per person per week (6). Asia accounts for 90% of global rice con-
  • Numerous investigations have shown that more than 90% of the arsenic in rice grains in
  • n = 30 RbK Italy NFa Thailand
  • of 0.250 ± 0.001 g, and then 6 mL of EMSURE® , 65% nitric acid was added. In addition,
  • of 12 samples. The operating parameters of the mineralizer are listed in Table 2. After
  • Table 2. Operating parameters of the MDS 2000 microwave furnace.
  • blanks (reagent samples; 6 mL of 65% HNO3 ) and an analysis of Certified Reference
  • adequate precision and satisfactory repeatability (26). Recovery was 103%. The limit of
  • detection (LOD) was 0.3 ug kg−1 , calculated based on three times the standard deviation
  • (LOD = 3 × SD) of As results from 10 independent measurements of blank samples.
  • ter (ICP-AES Jobin Yvon, France), operating under the conditions shown in Table 3. The
  • Table 3. HG-ICP–AES operating conditions.
  • form has been found to represent about 70% of total arsenic (tAs) in rice but rarely exceed
  • 85% (28). Similar iAs levels (75.2–90.1%) have been noted previously in rice products (29),
  • although the literature indicates the share of total As to vary considerably (22.4–97.7%)
  • with a mean value of 72.7% (Table A1, Appendix A). Elsewhere, the mean proportion of
  • iAs is 67.7% of tAs (25), while FDA and other studies indicate that the share of iAs is up to
  • 90% of tAs (20,30).
  • the exposure level that could be associated with a 5% increase relative to the background
  • to calculate the lifetime cancer risk (LCR) (5) (31). The range of acceptable risk of expo-
  • health related to the intake of inorganic arsenic from rice and rice products (Table 4). The
  • first two scenarios assumed a consumption rate of 5.4 g d−1 , together with the mean
  • Table 4. Consumer exposure scenarios for iAs intake from rice and rice products.
  • Scenario (g Day−1 ) Mean Maximum of iAs
  • 4—consumption rates three times the mean value in Poland.
  • The total arsenic (tAs) contents of the rice and rice-based products are shown in Table 5.
  • Depending on the product, tAs ranged from 69.5 to 227.8 µg kg−1 . The mean level of tAs
  • statistically significant (Table 5). Table 5 also gives the inorganic arsenic (iAs) levels, given
  • Table 5. Total and inorganic arsenic content in the tested rice and rice-based products.
  • Product iAs (µg kg−1 ) *, Mean ± SD (Min–Max)
  • 67.7%, 72.7%, and 90%; a,b,c superscript letters indicate significant differences in As levels between product groups
  • Figure 1. Total arsenic in rice and rice products depending on producer (Mean ± SD). Legend:
  • subjected to four risk assessment scenarios (Table 4). Scenarios 1 and 3 were based on
  • the calculated mean iAs levels as proportions of tAs (i.e., 67.7%, 72.7%, and 90%) while
  • products (Table 4). In addition, scenarios 1 and 2 assumed the average daily consumption of
  • The results of scenario 1 are given in Table 6. Calculations for the remaining scenarios
  • (2–4) are presented in Appendix A (Tables A2–A4, Appendix A). All tables contain EDI
  • the individual tested product groups, based on scenario 1 (EDI 1), is presented in Table 7.

Methods (brief)

  • emission spectrometry (HG-ICP-OES). Because an inorganic form of As (iAs) is mutagenic and
  • (N)—and the remaining letters refer to the manufacturer; ** refers to the origin of rice; n—number of samples;
  • 2.2.1. Sample Preparation
  • two blank samples and one reference sample (0.150 g) were also prepared for each series
  • of 12 samples. The operating parameters of the mineralizer are listed in Table 2. After
  • mineralization, the samples were filtered and quantitatively transferred with deionized
  • to polyethylene bottles, obtaining a total sample weight of 25.000 ± 0.150 g.
  • blanks (reagent samples; 6 mL of 65% HNO3 ) and an analysis of Certified Reference
  • detection (LOD) was 0.3 ug kg−1 , calculated based on three times the standard deviation
  • (LOD = 3 × SD) of As results from 10 independent measurements of blank samples.
  • The arsenic content was determined in previously prepared samples using the hydride
  • generation method. The measurement was carried out in a JY-24 sequential ICP spectrome-
  • ter (ICP-AES Jobin Yvon, France), operating under the conditions shown in Table 3. The
  • hydride generation system (Hg-ICP-AES) consisted of a hydride generation unit and a
  • Meinhard nebulizer for sample introduction to the cyclone spray chamber. A quartz plasma
  • used to simultaneously introduce the solutions of the tested samples and reagents, viz.
  • NaBH4 and HCl, into the hydride generator system. The gaseous sample containing As as
  • Table 3. HG-ICP–AES operating conditions.

Implications

This page makes the source discoverable for category-level evidence routing. Values remain source-native and should be used only with the stated matrix, species, basis, geography, and censoring context from the paper. The page does not convert total mercury to methylmercury or use total arsenic as inorganic arsenic.

Wiki pages this source may touch

Verification notes

  • Identity check: DOI, raw handle, candidate cite-key, and SHA-256 were compared against existing wiki/sources/ pages before creation.
  • Full-PDF read: pdftotext -layout was run on the full PDF twice; extracted text hashes matched before the page was written.
  • Numeric verification: numeric/table-bearing lines were selected mechanically from the verified extraction and preserved without unit conversion or rounding.
  • Brand firewall: the worker skips PDFs when extracted numeric lines appear brand/manufacturer-sensitive; this page contains category-level or species-level evidence only.
  • HMTc firewall: no threshold, percentile, pass/fail, clean/dirty, or certification math is stated.

Update history

The five most recent substantive edits to this page, classified major (evidence or structure moved), correction (a published value or statement was wrong and has been fixed), or minor (narrative rewritten without changing the underlying evidence). Each description is derived from what the edit did to this page; the linked commit is the authoritative record, routine regeneration passes are excluded, and the full version history lives in git. When DOI minting comes online (see schema docs), each entry below will also link to a version-pinned DataCite DOI.

CommitDateChangeDescription
b01ec52c2026-08-04major2 sections added
d49e450f2026-08-03major5 sections added; narrative text revised