Multi-agent (chemical, physical, biological) AIHA Bayesian exposure profiling across SEGs
Workplace exposure assessment quantifies the full spectrum of occupational exposures — chemical vapours, dusts, fumes, mists, biological agents (mould, endotoxin, bloodborne), noise, vibration (HAV / WBV), heat, cold, illumination, ionising / non-ionising radiation — using the AIHA Bayesian Decision Analysis framework. The discipline is now under heightened scrutiny following the 2024 EU OEL Directive 2022/431 (covering 25 carcinogens including chromium VI, hardwood dust, formaldehyde, benzene), the 2024 ACGIH TLV revisions on welding fume (down to 0.02 mg/m³ Mn), and the OSHA respirable crystalline silica standard enforcement (1910.1053 PEL 50 µg/m³). Modern programmes integrate real-time direct-reading monitoring (Drager X-am, Honeywell BW, RAE / MultiRAE), passive samplers (3M / SKC organic-vapour, NIOSH NMAM methods), area-based static monitors for fence-line and zone air quality, and statistical platforms (IHSTAT-Plus, Expostats, BWStat) that move beyond simple PEL comparison to Bayesian posterior estimation.

A practical, phased delivery approach — from gap assessment through operational embedding — built around your regulatory context.
Design exposure assessment strategy per EN 689 / NIOSH Occupational Exposure Sampling Strategy Manual / AIHA Strategy — Similar Exposure Group (SEG) definition, sampling type (compliance / characterisation / surveillance), sample size (typically 6-10).
Select sampling method per agent — OSHA / NIOSH / HSE MDHS methods; specify pump (constant-flow, low-flow), media (sorbent tube, filter, impinger), collection time (full-shift TWA, short-term excursion); align with ACGIH / NIOSH protocols.
Conduct field sampling with pump calibration (pre / post per OSHA), sample collection per SEG, chain of custody; specify QA/QC per NIOSH Method validation — accuracy, precision, recovery; align with AIHA-LAP accredited laboratory.
Submit samples to AIHA-LAP / A2LA accredited laboratory; specify analytical method per NIOSH / OSHA / ISO; receive results with detection limit, accuracy, and qualified data narrative; align with quality assurance protocols.
Conduct statistical analysis per EN 689 / AIHA — geometric mean (GM), geometric standard deviation (GSD), 95th percentile; compare against OEL (OSHA PEL, NIOSH REL, ACGIH TLV, ECHA DNEL); apply categorisation (overexposed / acceptable).
Recommend action programme — engineering controls (LEV, enclosure), administrative (rotation, training), PPE (respiratory, dermal); design re-sampling cadence (annual / triennial per AIHA strategy) for verification.

Speak with our team to scope an engagement tailored to your facility, regulatory context, and lifecycle stage.