Surface Contamination by Antineoplastic Drugs—Assessment, Detection, and Cleaning Measures: A Scoping Review
Abstract
1. Introduction
2. Methods
2.1. Research Question
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- map the extent and patterns of environmental surface contamination;
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- identify analytical and monitoring methodologies used for detection; and
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- evaluate reported cleaning and decontamination strategies and their effectiveness.
2.2. Eligibility Criteria
2.3. Information Sources and Search Strategy
2.4. Study Selection
2.5. Data Analysis and Synthesis
3. Results
3.1. Study Selection
3.2. Contamination Patterns Across Settings

| Study | Country | Setting | Drugs Tested | Findings | Key Notes |
|---|---|---|---|---|---|
| Botha et al. (2025) [8] | South Africa | 6 oncology pharmacies | CP, ifosfamide, methotrexate, 5-FU + others (9 total) | 5-FU most common; contamination persisted post-cleaning, especially in SP1; CP and ifosfamide detected in staff urine | First report from LMIC; highlights poor cleaning efficacy |
| Li et al. (2025) [38] | China | 16 healthcare institutions | CP, gemcitabine | Median contamination up to 36.61 ng/cm2 (CP); higher levels in ward-based preparation areas; contamination concentrated on BSCs and preparation tables; cleaning reduced but did not eliminate residues | Higher contamination without BSCs; preparation volume correlated with contamination |
| Portilha-Cunha et al. (2025) [15] | Portugal | Tertiary hospital | 13 drugs | Low contamination overall, but CP > 957 pg/cm2 in 4 locations | Incomplete decontamination despite standardized cleaning |
| Woodward et al. (2024) [17] | Australia | 4 hospitals | 10 drugs 10 cytotoxic drugs (including ifosfamide, CP, methotrexate) | All hospitals had measurable contamination; ifosfamide most frequent; no significant difference with CSTDs | CSTDs reduced but did not eliminate contamination; reinforce need for consistent cleaning |
| Sottani et al. (2022) [39] | Italy | Pharmacy areas and patient care units | CP, 5-FU, gemcitabine, platinum compounds | 59% positive wipe samples in patient care units vs. 44% in pharmacies; highest surface concentrations for 5-FU; contamination detected across all years | Multicenter (9 hospitals); 5-year longitudinal monitoring (8288 measurements) |
| Walton et al. (2020) [9] | USA | Inpatient oncology units | CP, etoposide | 61% of surfaces contaminated, including toilets | Demonstrates contamination beyond preparation areas |
| Chauchat et al. (2019) [14] | Canada | 83 centres (pharmacy + patient care) | 10 drugs | CP on 36% of surfaces; armrests and hoods most contaminated | Large-scale multicenter contamination study |
| Chaffee et al. (2019) [37] | USA | Outpatient pharmacy (simulated) | CP | Counting trays exceeded 1 ng/cm2 after 3 prescriptions | Highlights risk in oral chemo dispensing |
| Salch et al. (2019) [40] | USA | 338 hospital pharmacies | CP, ifosfamide, 5-fluorouracil, docetaxel, paclitaxel | Contamination predominantly in preparation areas but also in non-preparation locations; higher contamination at initial wipe events; reduced contamination with CSTD use, but not eliminated | Large multicenter dataset (5842 wipes); demonstrates persistence of contamination despite engineering controls; persistent residues |
| Hon et al. (2013) [23] | Canada | Hospital medication system (pharmacy, transport, administration, waste) | CP | Contamination detected across all stages; highest levels during preparation (GM 0.019 ng/cm2; max 26.1 ng/cm2) | 438 wipe samples; widespread contamination on frequently touched surfaces |
| Bussières et al. (2012) [24] | Canada | 25 hospitals (pharmacy + patient care areas) | CP, ifosfamide, methotrexate | All hospitals had ≥1 positive sample; 52% CP, 20% ifosfamide, 3% methotrexate; contamination detected in preparation and patient-care areas | Multicenter Canadian study; no CSTD use; highlights widespread contamination across the medication-use process |
| Valero-García et al. (2018) [41] | Spain | 10 hospital pharmacies (compounding areas) | CP, ifosfamide, 5-fluorouracil | All hospitals had positive samples; 49% CP, 23% ifosfamide, 10% 5-FU; highest contamination on cabinet airfoils and floors in front of cabinets | Multicentric European study; contamination variability between centres; no association with number of preparations |
| Touzin et al. (2008) [16] | Canada | Hematology–oncology pharmacy | CP, ifosfamide, methotrexate | Contamination increased post-refit; ifosfamide highest | Persistence after structural renovation |
3.3. Methods for Monitoring and Detection of Antineoplastic Drugs
3.4. Cleaning and Decontamination Strategies
4. Discussion
4.1. Overview and Key Findings
4.2. Integration of Engineering Controls and Cleaning Practices
4.3. Monitoring and Detection Challenges
4.4. Cleaning and Decontamination Effectiveness
4.5. Policy and Occupational Health Implications
4.6. Limitations and Future Research
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Correction Statement
References
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| Study | Method | Detection Limit/ Sensitivity | Sampling Frequency | Strengths | Limitations |
|---|---|---|---|---|---|
| Botha et al. (2025) [8] | LC—MS/MS + urinary biomonitoring | Not specified (below guidance values) | Pre-/post-cleaning | Links environmental and biological data | Small sample size |
| Arnold et al. (2022) [42] | Surface wipe sampling with probabilistic simulation modeling (LOD—and HGV-based benchmarks) | LOD-based + HGV benchmarks (90th percentile) | Sentinel vs. random surfaces; 2–20 surfaces; annual to monthly | Evidence-based guidance on number of surfaces, frequency, and drug panels; supports USP <800> | Modeling-based; not a primary analytical validation study |
| Demircan Yildirim & Ekmekci (2022) [43] | RP—UHPLC (method validation) | LOD ~0.04–0.13 ng/cm2 | Laboratory validation | Very low LOD; ICH-compliant; multicomponent method | Methodological study; no real-world hospital measurements |
| Lema-Atán et al. (2022) [44] | LC—MS/MS (multianalyte; surface wipe sampling + urinary biomonitoring) | 5–100 pg/cm2 (surface); 5–250 pg/mL (urine) | Not specified (application study) | Very high sensitivity; simultaneous detection of multiple cytostatic drugs; combined environmental and biological monitoring; fully validated according to SWGTOX | High analytical complexity; requires advanced instrumentation and expertise; not suitable for real-time feedback; variable recovery depending on compound and matrix |
| Valero-García et al. (2021) [18] | Immunoassay (BD HD Check®) + LC—MS/MS | ≥100 pg/cm2 | Routine | Rapid on-site detection; immediate intervention | Semi-quantitative method; comparison with LC—MS/MS not performed |
| Walton et al. (2020) [9] | LC—MS/MS | Not specified | End of workday | High sensitivity; comprehensive mapping | Delayed feedback |
| Chauchat et al. (2018) [14] | LC—MS/MS | ≈10 pg/cm2 | Once per facility | High precision; multi-analyte quantification | Requires lab infrastructure |
| Connor et al. (2016) [45] | Surface wipe sampling framework + LC—MS/MS | Method-dependent (pg–ng/cm2 range reported across studies) | Not applicable (methodological review) | Reference methodological framework; standardizes sampling design, analytical performance, and interpretation | No primary contamination data; not designed for exposure quantification |
| Smith et al. (2016) [46] | Fluorescence Covalent Microbead Immunosorbent Assay (FCMIA) for 5-fluorouracil, paclitaxel, doxorubicin | 0.0036–0.93 ng/cm2 (drug-dependent) | Single test on glazed ceramic tiles (100 cm2) | Simultaneous detection of multiple drugs; rapid, low-cost, semi-quantitative; minimal operator training required | Recovery varied by compound and surface; limited to 3 drugs; validation on limited surfaces |
| Hon et al. (2013) [23] | LC—MS/MS | LOD: 0.356 ng/wipe (0.00–0.049 ng/cm2, surface-adjusted) | Repeated sampling (two rounds, ≥4 months apart) | High analytical sensitivity; repeated measurements; use of laboratory-derived values below LOD improves exposure estimation | Delayed results; single marker drug (cyclophosphamide) |
| Touzin et al. (2008) [16] | LC—MS/MS | ≤1 ng/cm2 | Pre- and post-renovation | Enables time-trend comparison | Time delay between sampling and results Turnaround > 72 h |
| Turci et al. (2003) [47] | HPLC—MS/MS; GC—MS | CP: ~0.01–0.1 ng/cm2; IF: ~0.02–0.2 ng/cm2; 5-FU: ~0.1–1 ng/cm2 | Methodological review | Establishes analytical sensitivity; method validation | Not a field study; older instrumentation |
| Study | Cleaning Agent/Protocol | Surfaces Tested | Effectiveness | Observations |
|---|---|---|---|---|
| Portilha-Cunha et al. (2025) [15] | Six commercial disinfectants—oxidizing (NaOCl, H2O2) and surfactant/alcohol-based | Stainless steel, laminate, PVC | None fully effective; best >90% | Higher efficacy with direct surface application and two-step cleaning |
| Botha et al. (2025) [8] | Routine alcohol cleaning | Workbenches | 17.4% reduction post-cleaning | Demonstrates poor protocol compliance |
| Walton et al. (2024) [50] | Routine cleaning: bleach-based disinfectant (concentration not specified), non-bleach neutral detergents, and hydrogen peroxide-based wipes; discharge cleaning: bleach-based disinfectant wipes combined with neutral detergent | Toilets, floors, walls (patient bathrooms) | Significant reduction of etoposide contamination on toilets; no significant reduction of CP on floors or walls | Bleach used only during discharge cleaning; protocols not specific to antineoplastic drugs |
| Woodward et al. (2024) [17] | Institutional cleaning protocol (unspecified composition) | Multiple hospital areas | Contamination persisted | Highlights need for standardization |
| Simon et al. (2020) [29] | 70% isopropanol; Ethanol-H2O2 admixture; SDS 10−2 M + IPA 80/20; 0.5% NaOCl | Stainless steel (100 cm2) | NaOCl: ~100% (52.9–100) standard; SDS + IPA: ~99.6% vigorous; IPA: ~79.9% standard | Vigorous wiping improved efficiency; surfactant mixture nearly equivalent to NaOCl; 70% isopropanol inadequate. |
| Bláhová et al. (2021) [51] | Active NaOCl, peracetic acid, H2O2-based, alcohol-based, detergents, QAS | Stainless steel (lab); hospital floors (Marmoleum) | NaOCl and peracetic acid: highest removal (up to ~99–100%); H2O2: moderate; alcohols: ineffective for CP | Alcohol-based disinfectants mobilized deeply embedded CP and FU, increasing surface contamination; CP highly persistent; repeated cleaning required |
| Federici et al. (2018) [52] | 0.5% NaOCl; SDS–isopropanol (0.23% SDS + IPA 80/20); 0.2% NaOH–EtOH; 0.1% benzalkonium chloride | Stainless steel, aluminum, polyoxymethylene (POM), polycarbonate (PC) (robotic compounding system) | 81.5–100% removal; overall efficacy > 95% for all agents; NaOCl highest (~98–100%) | No protocol achieved complete removal; aluminum surfaces showed lowest efficacy; cleaning performance depended on surface type and drug; residues persisted despite high efficacy |
| Adé et al. (2017) [53] | Hydrogen peroxide and surfactant-based mixtures | Benchtops | >90% removal after two steps | Multi-step process required |
| Cox et al. (2016) [54] | Two-step commercial decontamination system (HDClean™: quaternary ammonium wipe + isopropanol wipe) | Biological safety cabinets, floors, countertops, keyboards, pass-through handles (pharmacy and nursing units) | Near-complete removal (≈90–100%) for most drugs; non-detectable residues after repeated cleaning | More effective than sodium hypochlorite-based products and routine institutional protocols; efficacy maintained even without CSTD; platinum agents harder to remove |
| Lamerie et al. (2013) [55] | Ultrapure water; IPA/H2O; acetone; NaOCl; surfactants (SDS, DWL, Tween 40, Span 80 ± IPA) | Stainless steel, glass | NaOCl ≈ 98%; surfactant + IPA ≈ 90–95%; IPA alone ≈ 80%; acetone ≈ 40% | Alcohol insufficient alone; surfactant mixture better |
| Step | Purpose | Recommended Agents | References |
|---|---|---|---|
| 1. Deactivation | Chemically inactivate cytotoxic compounds | Sodium hypochlorite (NaOCl, 0.5–2%) or hydrogen peroxide (H2O2) solutions | USP <800> [12]; NIOSH [22] |
| 2. Decontamination | Physically remove hazardous drug residues from surfaces | Neutral detergents or surfactant-based solutions (e.g., SDS + IPA) | ISOPP [10]; NIOSH [22] |
| 3. Cleaning | Eliminate dirt and residual chemical agents | Germicidal detergents compatible with surface materials | USP <800> [12]; OSHA [33] |
| 4. Disinfection | Ensure microbiological control after chemical decontamination | 70% isopropanol (IPA) following removal steps | USP <797> [62], USP <800> [12] |
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Silva, V.; Matos, C. Surface Contamination by Antineoplastic Drugs—Assessment, Detection, and Cleaning Measures: A Scoping Review. Safety 2026, 12, 31. https://doi.org/10.3390/safety12020031
Silva V, Matos C. Surface Contamination by Antineoplastic Drugs—Assessment, Detection, and Cleaning Measures: A Scoping Review. Safety. 2026; 12(2):31. https://doi.org/10.3390/safety12020031
Chicago/Turabian StyleSilva, Vítor, and Cristiano Matos. 2026. "Surface Contamination by Antineoplastic Drugs—Assessment, Detection, and Cleaning Measures: A Scoping Review" Safety 12, no. 2: 31. https://doi.org/10.3390/safety12020031
APA StyleSilva, V., & Matos, C. (2026). Surface Contamination by Antineoplastic Drugs—Assessment, Detection, and Cleaning Measures: A Scoping Review. Safety, 12(2), 31. https://doi.org/10.3390/safety12020031

