GCMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike

Pesticides

Applications |  | GL SciencesInstrumentation
GC/MSD, GC columns, Consumables
Industries
Manufacturer
GL Sciences

Summary

Importance of the Topic


Reliable analysis of pesticide residues is critical for ensuring food safety, water quality and regulatory compliance. Gas chromatography coupled with mass spectrometry (GC-MS) remains a gold standard for multi-residue determination due to its sensitivity, selectivity and robustness. InertSearch methodology and InertCap® GC column technology enhance analyte recovery and peak integrity by minimizing active site interactions.

Study Objectives and Overview


This application note describes development and validation of a GC-MS SIM method for simultaneous detection of over 80 pesticide compounds and their analogues. Key goals include:
  • Establishing chromatographic conditions to achieve baseline separation of structurally diverse pesticides.
  • Demonstrating retention time reproducibility and reliable quantitation using internal standards.
  • Showcasing performance of the InertCap® 5MS/NP capillary column.

Methodology and Instrumentation


Sample preparation consisted of standard solutions at 1 μg/mL in dichloromethane containing three deuterated internal standards: anthracene-d10, 9-bromoanthracene and chrysene-d12 (0.2 μg/mL each). Instrumental settings were as follows:
  • System: Gas chromatograph with mass spectrometer in SIM mode.
  • Column: InertCap® 5MS/NP, 30 m × 0.25 mm I.D., 0.25 µm film thickness.
  • Carrier gas: Helium at a linear velocity of 40 cm/s.
  • Injection: Splitless, 2 min hold at 250 °C, sample volume 2.0 μL.
  • Oven program: 50 °C (3 min), ramp 10 °C/min to 200 °C, ramp 3 °C/min to 230 °C (5 min), ramp 5 °C/min to 280 °C (2 min).
  • Interface and ion source temperature: 280 °C.
  • Detection: Mass spectrometer in selected ion monitoring (SIM) for enhanced sensitivity.

Main Results and Discussion


The method achieved baseline separation for 83 target compounds with retention times spanning approximately 12 to 41 minutes. Representative observations include:
  • Sharp, symmetrical peaks for polar and non-polar pesticides without tailing, illustrating the inert surface of the column.
  • Retention time reproducibility within ±0.1 min over repeated injections.
  • Sufficient sensitivity in SIM mode, allowing detection at sub-ppm levels.
  • No significant carry-over or ghost peaks, supporting high throughput analysis.

Benefits and Practical Applications


This GC-MS SIM method offers several advantages for routine pesticide monitoring:
  • Broad multi-residue coverage in a single run, reducing analysis time and cost.
  • High inertness of column phases minimizing analyte degradation and active site adsorption.
  • Easily adaptable to food, environmental water and soil testing laboratories.
  • Compatibility with regulatory protocols for pesticide residue limits.

Future Trends and Potential Applications


As analytical demands evolve, this methodology can be extended and improved by:
  • Integrating faster temperature programming or shorter columns for rapid screening.
  • Pairing with high-resolution MS for non-target screening and confirmation of unknowns.
  • Implementing automated sample preparation and data processing workflows.
  • Expanding the compound panel to include new generation pesticides and metabolites.

Conclusion


The presented GC-MS SIM protocol utilizing InertCap® 5MS/NP column demonstrates robust, reproducible and sensitive analysis of a wide range of pesticides. Its performance in terms of peak shape, retention stability and detection limits makes it well suited for routine residue testing under stringent quality assurance requirements.

Reference


GL Sciences Inc. Data No. GA220-0904, InertSearch for GC™ – InertCap® Applications: Pesticides

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

Downloadable PDF for viewing
 

Similar PDF

Toggle
Pesticides
Pesticides
|GL Sciences|Applications
InertSearch for GC TM InertCap® Applications Pesticides Data No. GA227-0904 This chromatogram was provided by Saika Technological Institute Foundation. 1.50 (x1,000,000) (x1 000 000) TIC 1.25 1.00 0.75 0 50 0.50 0.25 0.00 7.5 GC GA227 InertCap Pesticides GC GA227…
Key words
methyl, methylヘキサクロロシクロヘキサン, ヘキサクロロシクロヘキサンpyriminobac, pyriminobacbhc, bhcピリミノバックメチル, ピリミノバックメチルピロキロン, ピロキロンペルメトリン, ペルメトリンダイアジノン, ダイアジノンtriflumizole, triflumizoleddvp, ddvppyrifenox, pyrifenoxpyroquilon, pyroquiloncnp, cnpparathion, parathionトリフルミゾール
Fatty acid methyl ester
Fatty acid methyl ester
|GL Sciences|Applications
InertSearch for GC TM InertCap® Applications Fatty acid methyl ester Data No. GA192-0904 13 15 12 17 37+38 14 16 35 34 36 39 40 41 42 45 43 44 Time(min) 23 18 11 3 5 2 7 1 25…
Key words
methyl, methylメチル, メチルester, esteracid, acidgondoate, gondoateメチルエステル, メチルエステルmyristoleate, myristoleatearachidonate, arachidonateelaidate, elaidatetricosanoate, tricosanoateeicosatrienoate, eicosatrienoatenervonate, nervonatepentadecanoate, pentadecanoatemargarate, margarateerucate
Fatty acid methyl ester (FAME)
Fatty acid methyl ester (FAME)
|GL Sciences|Applications
InertSearch for GC TM InertCap® Applications Fatty acid methyl ester (FAME) Data No. GA050-0349 40 3 20 4 5 6 10 7 89 11 12 13 14 15 2 1 0 0 10 20 Time (min) 30 40 GC GA050…
Key words
メチル, メチルester, estermethyl, methylキサデ, キサデメチルドコサノエート, メチルドコサノエートテトラデカン, テトラデカンミリスチン, ミリスチンメチルエステル, メチルエステルacid, acidfame, fameアラチジン, アラチジンキサノ, キサノキサン, キサンチルテトラデカ, チルテトラデカチルミリステ
Simultaneous Analysis of Pesticides in Water Using GCMS-QP2050 and AI Peak Integration
GC-MS Application News GCMS-QP™2050 Simultaneous Analysis of Pesticides in Water Using GCMS-QP2050 and AI Peak Integration Kazuhiro Kawamura User Benefits  The GCMS-QP2050 entry model offers excellent cost performance, and boasts high sensitivity and high quantitative analysis performance in simultaneous…
Key words
oxon, oxonpeakintelligence, peakintelligencempp, mppintegration, integrationgcms, gcmswaveform, waveformname, nameprocessing, processingcnp, cnptpn, tpnrsd, rsdpeak, peakcinmethylin, cinmethylinpyriminobac, pyriminobacdimethylvinphos
Other projects
LCMS
ICPMS
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike