Research Article

Method Validation and Measurement Uncertainty Estimation for Determination of Multiclass Pesticide Residues in Tomato by Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)

Table 2

Regression coefficient (R2), slope, matrix effect, method LOQ, and method range of the pesticides.

S. N.PesticideSolvent standard calibration curveMatrix-matched calibration curve% matrix effectMethod LOQ (µg/kg)Method range (µg/kg)
R2SlopeR2Slope

13-Hydroxycarbofuran0.999177.5910.999187.511655–400
2Acephate1.000797.5810.999783.193−255–400
3Alachlor0.999458.4730.999438.277−455–400
4Aldicarb sulfone0.999663.7760.999657.814−155–400
5Aldicarb sulfoxide0.999383.4740.999388.445155–400
6Aldicarb1.000922.2850.999864.694−655–400
7Carbaryl0.99859.9010.99850.906−151010–800
8Carbendazim0.9993505.0770.9993320.299−555–400
9Carbofuran1.0002655.5850.9992394.499−1055–400
10Cyprodinil1.000714.7380.999692.753−355–400
11Dimethoate0.9991627.1520.9991570.99−355–400
12Ethoprophos0.9991167.6230.9981125.412−455–400
13Imazalil1.000561.1240.999492.480−1255–400
14Imidacloprid1.000270.3161.000325.3532055–400
15Kresoxim-methyl0.999851.7430.999808.224−555–400
16Metalaxyl0.9992456.3340.9992413.506−255–400
17Methidathion1.000894.6150.999908.447255–400
18Methiocarb0.9991140.9930.9991141.137055–400
19Methomyl1.000578.2321.000576.797055–400
20Monocrotophos1.000779.9250.999790.445155–400
21Oxamyl1.000756.7610.999772.839255–400
22Penconazole0.9991371.040.9981279.036−755–400
23Propargite0.9994822.5760.9994457.998−855–400
24Propoxur1.0002128.0770.9991817.774−1555–400
25Thiabendazole1.0001222.9171.0001209.514−155–400
26Trichlorfon0.994501.9970.999601.1802055–400

Matrix effects with negative values indicate signal suppression, whereas positive values indicate signal enhancement.