UNSPSC 42152208: Dental laboratory engines

In this classification, this commodity indicates a product that powers the machinery that formulates dental impressions, molds, castings and investments. Most nations, for tariff and trade purposes, schedule these products under HS 901832.

UNSPSC 42152208 Dental laboratory engines, a Commodity code, encompasses specialized dental diagnostic and imaging equipment that state and local government agencies and educational institutions procure for clinical training, patient care, and dental laboratory operations. The scope of work covers advanced intraoral scanning technology, 3D imaging devices, and related diagnostic equipment used in dental hygiene programs, orthodontic clinics, and dental laboratory settings. State and local buyers under this code include colleges and universities with allied health or dental hygiene programs; dental clinics operated by health departments; corrections departments operating inmate dental services; and school-based health centers with dental components. Educational institutions appear as primary solicitors, particularly community colleges and state university dental hygiene departments seeking equipment for student training and clinical practice.

Valencia College's School of Allied Health, Dental Hygiene Department posted a sole source procurement (SS202620) on November 18, 2025, for four iTero Lumina Scanners from Align Technology, Inc., with a total acquisition cost of $143,196.00 and a response deadline of November 27, 2025. The procurement was conducted under Florida Administrative Code 6A-14.0734(2)(a)(h) and Florida Statute 287.057, and the notice was certified by Kellie Robertson, Assistant Director of Procurement at Valencia College. The recent opportunity record shows activity limited to Florida; no additional representative solicitations under this code are present in the source. The code shows sparse recent state and local activity overall, with the Valencia College scanner acquisition representing the only indexed opportunity in the dataset.