Based　on　the　initial　near-infrared　spectrum　of　edible　essence　samples　and　its　mixture　with　DEHP　and　DINP,　we　chose　the　wavelength　ranges　of　8　800　similar　to　8　540　and　7　500　similar　to　5　085　cm(-1)　to　use　the　principal　component　analysis　(PCA)　method　to　distinguish　these　three　types　of　samples.　The　correct　rate　of　the　identification　is　proved　to　be　100%.　Meanwhile,　we　measured　the　content　of　DEHP　and　DINP　(with　the　concentration　ranging　between　0　and　100　mg　.　kg(-1))　in　the　edible　essence　and　established　the　quantitative　analysis　model　by　using　partial　least　squares　(PLS).　It　was　found　that　the　relative　errors　of　the　prediction　results　of　DEHP　and　DINP　are　-1.23%similar　to　3%　and　-1%similar　to　3.6%,　respectively,　and　the　relative　root-mean-square　errors　of　prediction　(RRMSEP)　of　them　are　1.39　and　0.98,　respectively.　This　study　provides　a　simple,　rapid　and　accurate　method　to　detect　the　additive　dosage　of　plasticizing　agents　in　edible　essence　in　the　food　industry.