Smart Pesticides Database Ver. 2 Residual Pesticides Database

Supports the Creation of Methods for MRM and SIM Mode Analysis of Residual Pesticides in Foods


Supports the Simultaneous Analysis of 530 Residual Pesticides in Foods via GC-MS(/MS)

Smart Pesticides Database contains the retention indices and transitions for 530 pesticides. Ver. 2 additionally contains measurement ions for SIM mode, so it can be applied to both SIM and MRM analyses. Thanks to the retention indices contained in the database and the AART function, retention times can be revised automatically without the use of pesticide standards. Furthermore, the Smart MRM/SIM function allows automatic creation of the optimal measurement programs for multicomponent simultaneous analysis using MRM and SIM modes. Lastly, the database can be customized to the GC conditions and the addition of new components.

Enables Analysis Conditions Corresponding to a Variety of Needs

Supporting simultaneous multicomponent, high-speed analysis, the database can enable a choice of methods according to the usage. In addition, the database contains retention indices for multiple columns with different polarities. As a result, even if peaks of target pesticides and contaminants overlap it can use a different column. If the database is used in combination with the Twin Line MS system, analysis with different columns can be performed smoothly, without compromising the MS vacuum.

Provides Total Solution Including Certi¬ed Standard Substances, a Pretreatment Kit, and Consumables

If used in combination with the recommended certi¬ed standard substances, pretreatment kit, columns, and insert liners, the database enables high-accuracy pesticide analysis. The recommended pretreatment kit and the recommended protocol can be applied even to high-matrix samples such as health foods and processed foods.

Verifying the Effectiveness of Recovery Tests of Health Foods

In conducting recovery tests in health foods for 220 pesticides, using the database, recommended pretreatment kit, pretreatment protocol, and certi¬ed standard substances, we succeeded in obtaining excellent ratios in over 80 percent of components. Health foods contain many contaminants. Because it includes transitions for the separation of contaminants, the database minimizes their impact. Additionally, the database can separate contaminants by allowing analysis with a different column, even if peaks of target pesticides and contaminants overlap. If the database is used in combination with the Twin Line MS system, analysis with different columns can be performed smoothly, without compromising the MS vacuum.

A printed handbook of the pretreatment protocol

A printed handbook of the recommended pretreatment protocol is provided (C146-E333), allowing customers to try the pretreatment process with ease.

Twin Line MS System

Analysis can be performed smoothly on different columns without interrupting the MS vacuum by simultaneously attaching the mass spectrometer to the outlets of two different columns installed in two separate injection units.

Database Conguration

Product Contents

Database file and method files

Number of Pesticides Registered to the Database

530 compounds.
Note: Commercially available standard mixtures are supported.

Applicable Instruments

GCMS-QP2020 and GCMS-QP2010 Ultra
Excel Microsoft Excel 2016 (32-bit) and 2013 (32-bit)
Workstation GCMSsolution (Ver. 4.44 or later)

Recommended Consumables

Pretreatment Kit Q-sep QuEChERS Sample Prep Packets & Tubes (Restek)*
Certified Standard Substances GC Multiresidue Pesticide Kit (Restek)
Column 1 SH-Rxi-5Sil MS (30 m x 0.25 mmI.D., df=0.25 mm),
P/N 221-75954-30
Column 2 SH-Rtx -200MS (30 m x 0.25 mmI.D., df=0.25 mm),
P/N 221-75811-30
Column 3 SH-Rxi -5ms (30 m x 0.25 mmI.D., df=0.25 mm),
P/N 221-75940-30
Insert liner Custom Sky Liner Splitless Single Taper Gooseneck
w/Wool, P/N 567366 (Restek)

* For the recommended pretreatment protocol, contact Shimadzu.


  1. The accuracy of the information contained in the database and the usefulness of information obtained as a result of the use of this information is not guaranteed.
  2. Be sure to test the qualitative and quantitative information obtained with this database using a standard sample for conrmation.
  3. To reliably identify substances registered with this database, perform measurement using the system requirements of the method le included with the product.

For Research Use Only. Not for use in diagnostic procedures.

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