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:
- tissues (4). It is estimated that more than 13% of the world’s arable land and almost 40% of
- metals between 2020 and 2024 increased by over 114% compared to the previous five-year
- sensors and biosensors (Table 1). This conditional subdivision facilitates reading; however,
- 156 Ω to 17 Ω), enabling femtomolar detection of Hg2+ (LOD = 0.16 fM) in milk samples.
- SWASV at an accumulation time of 180 s. The thin (2 µm), highly hydrated 1 wt % Nafion
- ultra-low detection limit and a wide linear range. The sensor was stable for 21 days, and
- onto NH2 -UiO-66, forms stable EDTA complexes with Pb2+ and Cd2+ via its abundant
- prolongs the analyses. The sensor is stable over 20 days and shows promising potential
- material as it does not require long fabrication, is stable for at least 3 weeks, is cheap, and
- an ultrasensitive LOD of 1 nM (0.001 µg·L−1 ) for Pb2+ and a wide LDR of 0.003–5000 nM
- to dual ranges, cross-interference between Cd2+ and Cu2+ , and the long deposition time.
- Table 1. Graphene-based electrochemical sensors and biosensors for heavy metal detection in real objects (food, water, human serum).
- Electrode Sensing Materials (Accumulation LDR, µg·L−1 LOD, µg·L−1 Matrix Reference
- Electrode Sensing Materials (Accumulation LDR, µg·L−1 LOD, µg·L−1 Matrix Reference
- Electrode Sensing Materials (Accumulation LDR, µg·L−1 LOD, µg·L−1 Matrix Reference
- Electrode Sensing Materials (Accumulation LDR, µg·L−1 LOD, µg·L−1 Matrix Reference
- a —Cd2+ , b —Pb2+ , c —Cu2+ , d —Hg2+ , e —Tl2+ , and f —Zn2+ . Analytical characteristics. Advantages (Adv.): A low LOD; B wide LDR; C selective electrode; D high reproducibility; E
- mental samples (Table 2). However, the widespread use of such sensors requires further
- chemical sensors for the quantitative determination of heavy metals, as shown in Table 2.
- heavy metals. Bao et al. (79) developed a portable system for detecting Hg2+ and Cu2+ in
- electrode modification. Significant disadvantages include a high LOD (45.54 µM), poor
- also demonstrated photocatalytic activity, degrading tetracycline with 90% efficiency within
- has many advantages, namely selectivity, high reproducibility, and low LODs (0.58 nM
- acteristics in two linear ranges of 0.2–250 nM and 250–3500 nM. The developed technique
- showed that the LOD is about 0.04 nM, which is significantly less than the WHO Limits.
- they have tunable electrochemical properties and stable oxidation states from I to III (77).
- limits. In addition, GO/(Ru(bpy)3 )2+ /Au was shown to be easy to prepare, stable for at
- least 30 days, and suitable for the determination of Cd2+ , Pb2+ , As3+ , and Hg2+ in Cau-
- role in the binding of Hg2+ ions due to its unique ability to form stable complexes with
- Thymine plays a crucial role in binding Hg2+ ions due to its ability to form stable complexes
- and Cr6+ , respectively. Furthermore, an RSD < 4.5% indicates good reproducibility, while
- field applicability (90). However, the high LOD for Cr6+ is disadvantageous compared to
- Table 2. Graphene oxide-based electrochemical sensors for heavy metal detection in real objects (food, water).
- MOF@GO15%-NF b Pb2+ b 1–150 b 0.07 A, B, C, E, F – I, J G, H (97)
- a —Cd2+ , b —Pb2+ , c —As3+ , d —Hg2+ , e —Cu2+ , f —Cr2+ , g —UO 2+ , h —Zn2+ , and i —Cr3+ . Analytical characteristics. Advantages (Adv.): A low LOD; B wide LDR; C selective electrode;
- successfully detected As3+ with an LOD of 0.24 ppb and a sensitivity of 1.24 µA/ppb in
- Cd2+ in river water, honey, and orange juice (104). The combination of rGO and Au-Bi
- This results in a wide LDR and low LODs of 0.05 µg·L−1 for Pb2+ and 0.02 µg·L−1 for
- posit of Pb2+ and Cd2+ , enabling an ultrasensitive detection LOD of 0.45 µg·L−1 for Pb2+
- and 1.69 µg·L−1 for Cd2+ with a linear dynamic range of 2.5–200 µg·L−1 for both ions.
- changes of less than 8% for most common ions at environmentally relevant concentrations.
- composites suitable for heavy metal detection in environmental samples (117). In 2020,
Methods (brief)
- uid chromatography (HPLC) and spectrophotometry in the detection of heavy metals.
- metals, unlike many atomic absorption/emission spectrophotometric approaches, which
- for HPLC or inductively coupled plasma (ICP) spectrophotometry, allowing rapid in situ
- their key performance metrics (LOD, LDR), comparative analytical performance grouped
- 156 Ω to 17 Ω), enabling femtomolar detection of Hg2+ (LOD = 0.16 fM) in milk samples.
- samples for in situ heavy metal monitoring. For this purpose, a CO2 laser-induced porous
- samples. The sensor achieved a low detection limit of 2.90 µg·L−1 for Pb2+ , 2.14 µg·L−1 for
- the practicality for higher concentration samples and rapid field testing. Furthermore,
- of Pb2+ in lake water samples using differential pulse voltammetry (DPV). The GNR-
- bility remains untested beyond 12 days, and reliance on spiked samples may limit practical
- efficiency, resulting in enhanced sensor performance. The sensor achieved low LODs
- has a wide linear range for the analyzed heavy metals. Unfortunately, LOD and selectivity
- sample, they interact with the DNAzyme and cause a conformational change that leads to
- an ultrasensitive LOD of 1 nM (0.001 µg·L−1 ) for Pb2+ and a wide LDR of 0.003–5000 nM
- Electrode Sensing Materials (Accumulation LDR, µg·L−1 LOD, µg·L−1 Matrix Reference
- Electrode Sensing Materials (Accumulation LDR, µg·L−1 LOD, µg·L−1 Matrix Reference
- Electrode Sensing Materials (Accumulation LDR, µg·L−1 LOD, µg·L−1 Matrix Reference
- Electrode Sensing Materials (Accumulation LDR, µg·L−1 LOD, µg·L−1 Matrix Reference
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
- Fish — marine, predatory (tuna, swordfish, shark, king mackerel)
- Fish — marine, non-predatory (sardines, anchovies, salmon, cod)
- Shellfish (shrimp, crab, lobster, clams, oysters, mussels)
- Baby Sunscreen, Mineral (ZnO + TiO2)
- Seaweed/kelp foods (nori, wakame, kombu, dulse — as food products)
- Mercury
- Mercury
- Cadmium
- Lead
- Arsenic
- Nickel
- Tin
- Chromium
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 -layoutwas 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.