The growing adoption of sensor-based Particle Ore Sorting (POS) across mineral processing operations increases the need for an objective and repeatable method to assess whether and how an ore can be upgraded. Standardised POS testwork methods have recently been proposed but no universally accepted framework yet provides cross-comparable measures of material, classification and mechanical contributions. This review excludes sensor-based Batch Bulk Ore Sorting and Belt Bulk Ore Sorting and structures the POS literature into three analytical categories: Intrinsic Sortability, Sensor Amenability and Sensor Sortability. Intrinsic Sortability is represented by Sorter Feed Heterogeneity (SFH) and describes the theoretical upgrading potential under ideal separation. Sensor Amenability addresses Detection Effectiveness (DE) and Image Processing Effectiveness (IPE), which together determine Classification Effectiveness (CE). Sensor Sortability evaluates the POS process result under dynamic conditions, including CE, material presentation and Mechanical Effectiveness (ME). The review identifies inconsistent terminology and frequent overlap between these categories. The recently defined Single Particle Test (SPT), Bench Scale Test (BST), Cascade Test (CT) and Process Test (PT) clarify which combinations of SFH, CE and ME are assessed but cross-study comparability remains limited by project-lot heterogeneity, sensor configuration and operating conditions. A universal framework must retain clear system boundaries, standardise performance metrics and use Process Tests as the final validation and feasibility stage. Simulation based on SFH and CE data, supported by open reference datasets and cross-laboratory benchmarks, offers a route towards scalable and vendor-independent assessment.