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Al-Otaibi et al. 2024 - Heavy metals and antibiotic resistance genes in Wadi Hanifah water

Al-Otaibi and colleagues sampled Wadi Hanifah surface water in Riyadh, Saudi Arabia, for Li, Be, Cr, Co, total As, Cd, Sn, total Hg, Pb, and antibiotic-resistance genes. The source is primary environmental-water evidence and microbiome/AMR context, not food-product or drinking-water occurrence evidence. Its most useful contribution is the paired metal and ARG screening: the paper reports higher ARG burden upstream, while heavy-metal and ARG correlation was weak and not statistically significant.

Key numbers

Heavy metals in surface water

Table 4 reports mean +/- SD concentrations in ug/L for upstream and downstream water samples.

Metal or metalloidUpstream averageDownstream average
Li40.40 +/- 1032.32 +/- 2
Be0.01 +/- 0.0030.03 +/- 0.01
Cr0.61 +/- 0.30.49 +/- 0.2
Co0.34 +/- 0.060.28 +/- 0.1
Total As1.08 +/- 0.460.69 +/- 0.1
Cd0.01 +/- 0.0060.01 +/- 0.01
Sn65.86 +/- 1.1296.53 +/- 55
Total Hg0.03 +/- 0.010.03 +/- 0.004
Pb0.20 +/- 0.030.30 +/- 0.06

The abstract prints all-site mean concentrations of Li 37.25 ug/L, Be 0.02 ug/L, Cr 0.56 ug/L, Co 0.32 ug/L, As 0.93 ug/L, Cd 0.01 ug/L, Sn 200.4 ug/L, Hg 0.027 ug/L, and Pb 0.26 ug/L across the 18 sites. The stratified Table 4 values above are the routeable record because the paper’s abstract-level all-site means are not fully reconstructable from the upstream/downstream table by a simple 12-upstream/6-downstream site-weighted calculation.

Method performance

Table 3 reports ICP-MS quality-control data for seven of the nine metal targets:

MetalSpike concentration (ug/L)RecoveryLOQ (ug/L)Uncertainty
Li588-111%13.419.8%
Be60101-104%1.26.6%
Cr1585-110%13.137.2%
Co588-99%1.314.6%
Total As599-106%1.412.6%
Cd584-88%1.428.8%
Pb1105-108%1.014.8%

The source does not provide the same QC row for Sn or Hg in Table 3. Several Table 4 means are lower than the printed LOQ values; this page therefore preserves the authors’ table values but flags the issue rather than treating those low-level results as fully quantified without qualification.

Antibiotic-resistance genes

The authors screened 12 ARG targets representing 10 antibiotic classes. Ten targets were detected in at least one site: blaNDM-1, ampC, tet(M), tet(B), erm(B), aac(6’)-Ie-aph(2”)-Ia, sulII, catII, vanA, and dfrA1. mecA and mcr-1 were not detected. Reported site-frequency summaries were 22.2% for blaNDM-1, 61.1% for ampC, 55.5% for tet(M), 55.5% for tet(B), 66.7% for erm(B), 33.3% for aac(6’)-Ie-aph(2”)-Ia, 77.7% for sulII, 72.2% for catII, 50% for vanA, and 55.5% for dfrA1.

ARG levels were significantly higher upstream than downstream (p = 0.002). The paper’s Pearson test for heavy metals versus ARGs was weak and non-significant: R = 0.066, 95% confidence interval -0.41 to 0.5, R2 = 0.004.

Methods (brief)

Water samples were collected in duplicate from 18 Wadi Hanifah sites in September 2022, transported on ice, and filtered through 0.45 um membranes. DNA was extracted from filters and 12 ARGs were screened by PCR with negative controls. Heavy metals were measured by Agilent 7900 ICP-MS with 1500 W reflected power, 15 L/min plasma gas flow, and 1 L/min auxiliary gas flow. The authors used blanks, fresh calibration standards, spiked samples, recovery targets of 70-120%, repeated-measurement RSD targets below 20%, and calibration correlation coefficient r2 above 0.995.

Implications

Certification: This source should not be routed into product or ingredient benchmark pools. It is environmental surface-water evidence for Saudi Arabia and can support context around water quality, microbial co-selection pressure, and the limits of inferring ARG burden from metal concentrations alone.

Courses: Useful example of co-monitoring metals and antibiotic-resistance genes in the same environmental samples, while also showing why method-performance tables matter when reported concentrations are below the printed LOQ.

App: Keep the source visible as context for environmental water and AMR. Do not present the Wadi Hanifah values as drinking-water, bottled-water, or food-product occurrence data without a separate source showing that matrix.

Wiki pages this source may touch

Verification notes

The PDF has author attribution and DOI 10.3390/antibiotics13050426; no DOI conflict was observed. Arsenic and mercury are total-element ICP-MS results, not inorganic arsenic or methylmercury. The source reports surface water from Wadi Hanifah, not finished drinking water, bottled water, irrigation water applied to a named crop, or a food matrix. The abstract’s all-site means and Table 4’s upstream/downstream means are not fully reconciled by a simple site-weighted calculation, so this page uses Table 4 for routeable concentration values and records the abstract means separately. Table 3 prints LOQ values above several reported Table 4 means and omits Sn/Hg QC rows; those method-reporting issues should be preserved in any downstream audit.

2026-06-02 (Claude session, merge-enhance after routing_malformed advisory): PDF re-read end-to-end against the existing page. Frontmatter matrices was [surface-water, wadi-water, environmental-water, antibiotic-resistance-gene-screening]; the two invented slugs were removed. wadi-water had no corpus precedent outside this page; antibiotic-resistance-gene-screening is a screening modality, not a sample matrix. Retained surface-water (13 corpus uses) and environmental-water (11 corpus uses) as established matrix vocabulary for environmental-water studies. products/ingredients remain empty (advisory-level routing_malformed entry); this is environmental surface water, not a food or product matrix, so the empty arrays are the honest declaration, not a defect. The paper’s own statement that catII was present in 72.2% of sites while listing 14 specific positive sites (1, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16, 17, 18; 14/18 = 77.7%) and that “sites # 12–18 from downstream points” conflicts with the paper’s own upstream/downstream split (sites 1-12 upstream, 13-18 downstream) is a minor paper-internal inconsistency in the ARG reporting; the page records the paper’s stated aggregate percentage (72.2%) rather than recomputing from the site list. The heavy-metal values in Table 4 are internally consistent and are the routeable record for this page.

2026-06-02 (audit subagent, Claude general-purpose, REVISE verdict — one ⚠️ finding, rejected as false positive after corpus check): Audit flagged frontmatter metals: [Li, Be, Cr, Co, tAs, Cd, Sn, tHg, Pb] for including Li, Be, and Co outside the HMTc-locked abbreviation list (Pb, Cd, iAs, tAs, MeHg, tHg, Ni, Al, Cr, Cr-VI, Sn, Sb, U per CLAUDE.md Part 14). Independent corpus check via grep -l "metals:.*\bX\b" wiki/sources/*.md: Co appears in 120 source pages, Be in 15, Li in 10. Standard chemical symbols for non-HMTc-canonical metals are an established corpus convention, with metals/lithium, metals/beryllium, and metals/cobalt as backing wiki pages. The HMTc-locked abbreviation list governs the 10 HMTc certification analytes, not the broader chemical-symbol vocabulary used to route literature evidence for any element a paper measures. Finding noted, no edit applied. Numerical fidelity (Tables 3 and 4 spot-checked field-by-field), speciation (correct tAs/tHg/Cr usage), Part 12 brand firewall, and Part 2 HMTc firewall all passed cleanly.

Page history

The five most recent substantive edits to this page. 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.

CommitDateDescription
c1aef382026-06-02audit-queue: hamid2021-bacterial-plant-biostimulants-review audited-promote