Optimize GC-MS Sensitivity With Lens Adjustment
App Note / Case Study
Published: August 22, 2025
Credit: Peak Scientific
Helium scarcity and rising costs have driven labs to explore hydrogen as a carrier gas for GC-MS, promising faster analysis and cost efficiency. However, analysts often encounter sensitivity and stability concerns during the transition.
A primary challenge lies in balancing sensitivity and resolution without compromising safety or performance.
This app note explores how switching the draw-out lens impacts sensitivity and resolution with hydrogen versus helium, across various flow rates and detection modes.
Download this app note to discover:
- How hydrogen compares to helium in GC-MS sensitivity and resolution
- Why draw-out lens diameter impacts performance at different flow rates
- How selected ion monitoring detection can mitigate hydrogen’s sensitivity challenges
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The Effect of Draw-out Lens Diameter
on Sensitivity of GC-MS analysis
www.peakscientific.comThe Effect of Draw-out
Lens Diameter on
Sensitivity of GC-MS
analysis
Abstract
Increases in helium price combined with temporary
shortages of the gas have prompted many GC
users to look to alternative carrier gases for their
GC and GC-MS analysis. Hydrogen is a costeffective, viable alternative to helium with potential
for improved chromatography and decreased
analysis time, however there are concerns about
use of hydrogen carrier gas for GC-MS because of
some sensitivity effects when using hydrogen in
place of helium.
This study investigated the effect of hydrogen and
helium carrier gas across a range of column flow
rates (1.0 – 2.0 cc/min), with different draw-out
lenses (3mm vs 6mm) and selected ion monitoring
(SIM) vs full scan detection for essential oil and
volatile analysis.
Results showed that flow rate did affect
resolution and signal-to-noise ratios, with results
corresponding to the theoretical changes in carrier
gas efficiency according to the van Deemter
equation. The 6mm draw-out plate orifice used
for hydrogen carrier gas did increase sensitivity
compared to helium carrier gas with the standard
3mm draw-out plate, especially at higher flow
rates. SIM detection, in combination with flow rate,
also improved sensitivity, with hydrogen carrier
gas eliciting a similar response to helium carrier
gas when using SIM detection at higher flow rates.
This study demonstrates that simple adjustments to
the GC-MS system can enable analysts to mitigate
some of the negative effects that hydrogen can
have on GC-MS detection and obtain like-for-like
results with helium.
Introduction
Gas Chromatography (GC) is a well-established
analytical technique used in industries including
food and fragrance, petrochemical analysis
and environmental analysis to name but a few
and allows isolation and analysis of individual
analytes within a complex mixture. GC coupled
to mass spectrometry (GC-MS) results in a highly
powerful and versatile hyphenated technique,
which is typically used to identify compounds
ranging from 40-500 m/z. Over the past few
decades, helium has been the first choice carrier
gas, owing to its inertness, good performance at
reasonable carrier velocities and relatively cheap
price.
Since 2001, helium has become increasingly
expensive with a reported global increase in price
of 500% between 2001 and 2016 (Fig 1 & 2).
In 2012-2013 the global helium shortage increased
the number of GC users looking to switch to
alternative carrier gases and improved availability
of information on what is required to optimally
switch to an alternative carrier gas. With many
more people looking to switch methods to
hydrogen, debate increased regarding the
potential pitfalls of changing carrier gas, with a
number of analysts unable to easily make the
transition from helium to hydrogen for certain
methods.
GC manufacturers also improved information
regarding use of alternative carrier gases as well
as developing new methods to reduce helium
consumption such as redesigning the GC inlet (1)
and developing automatic systems that switch to
nitrogen when the GC is idle (2).
The vast increase in the price of helium corresponds
Figure 1:
Figure 2:with a decline in US helium consumption since
2009 (Fig 1). Worldwide, however, consumption
continues to rise, meaning that alternatives to
helium, where feasible, are going to be sought as
a way of reducing costs.
Hydrogen safety
Hydrogen is a reactive and explosive gas
and has a lower explosion limit (LEL) of 4.1%
in atmosphere. A small lab measuring 5m x
4m x 2.5m would require 2050L hydrogen to
reach the LEL. Therefore, a large leak from a
hydrogen cylinder containing around 9000 L at
atmospheric pressure could easily reach the LEL
in such a lab. A hydrogen generator producing
500cc/min would take almost 3 days to produce
enough hydrogen to reach the LEL and the lab
would need to be hermetically sealed. A hydrogen
generator therefore provides enough gas to carry
out analysis, but without the safety concerns
associated with cylinders.
Improving Chromatography
Hydrogen is half as viscous as helium at the same
temperature and pressure, while the diffusion of
a sample within the two gases is similar, meaning
that hydrogen travels through the GC column
more quickly and offers faster analysis than
helium. The Van Deemter curve (Figure 3) shows
the relative efficiencies of hydrogen, helium and
nitrogen at different flow rates and shows how
hydrogen has superior column efficiency at higher
flow rates. Using method translation software (3,
4), it is possible to model the effect of converting
a method from helium to hydrogen in silico to
see what time savings can be made and what
changes to the method are required.
Some chromatographers are concerned about
the time taken for the system to stabilize after
switching carrier gas and the potential reduction
in sensitivity sometimes reported when using
hydrogen carrier gas. One hardware change that
can be made to improve sensitivity when using
hydrogen carrier gas is to increase the orifice size
of the ion volume of the ion source.
Analysis of the essential oil mixture run using
helium with a standard ion volume and hydrogen
carrier gas using a larger diameter ion volume
across a range of flow rates, stabilization time,
peak resolution and signal to noise ratio were
assessed.
Materials & Methods
Reagents and materials
Rosewood Essential oils extracts were provided
by Prof. Lauro E. S. Barata, from UFOPA
(Universidade Estadual do Oeste do Pará).
A volatile organic mixture was purchased from
Sulpelco (EPA VOC Mix 2).
Gas Chromatography-Mass Spectrometry (GCMS) analysis
The ion source was baked-out using a slight
modification of recommendations (p35-37)
by Agilent technologies (5), with the source
temperature set to 300°C and filament switched
on for a period of 3 hours. To check stability
of baseline, blank samples were run to ensure
consistent background before any samples were
analysed.
For Rosewood essential oil analysis, the
temperature started at 60°C, increasing at a rate
of 3°C/min to a maximum temperature of 210°C
(total run time 50 minutes). A split ratio of 100:1
was used for essential oil injection.
All essential oil analysis was carried out using
an Agilent Technologies GC-MS (Santa Clara,
CA, USA), consisting of a 7890B GC with 5975
mass selective detector, equipped with an HP-5
capillary fused column (30m x 250 µm I.D. x 0.25
µm film thickness, 5% phenyl methyl siloxane).
For all analyses, the injector temperature was
270°C. Mass spectra were taken at 70eV ionisation
energy in either full scan mode (40-500 amu)
or selected ion monitoring mode (SIM) with a
dwell time of 15 ms (Table 1). Helium carrier gas
used was 99.9995% purity. Hydrogen carrier gas
was 99.9999% pure and was supplied by a Peak
Scientific (Inchinnan, UK) Precision Hydrogen
Trace 500cc gas generator. Both carrier gases
were used across a range of flow rates from 1.0 –
2.0 mL/min.
Analyses of samples run using helium carrier gas
were acquired using the 5975 MSD with an inert
3mm Draw-out plate (G2589-20100). All samples
run using hydrogen carrier gas were acquired
using an inert 6mm Draw-out plate (G2589-
20045). All other MSD conditions were identical.
Background stabilization was assessed by running
a volatile organic mixture (EPA VOC Mix 2) for
7 days following change of carrier gas. Analysis
of this mixture used the same GC-MS settings as
essential oil analysis, except for the oven program
which was as follows: 60°C, increasing at a rate
of 10°C/min to a maximum temperature of 138°C
(total run time 7.8 minutes).Data Analysis
Data analysis was conducted using Agilent
Masshunter qualitative software (B.07.00) and
Enhanced Chemstation (E.02.011177) was used
for data collection.
Results
The essential oil mixture was injected at three
column flow rates; 1.0, 1.5 and 2.0 mLmin-1 to
look at optimal vs. sub-optimal flow rates of both
helium and hydrogen. The last compound in the
mixture to elute, 1,3,5-trichloro benzene, was
used to calculate the signal to noise ratio and
resolution. All samples run using helium carrier
gas used the 3mm draw-out lens, whereas all
samples run using hydrogen carrier gas used the
6mm draw-out lens.
Effect of carrier gas on signal to noise
Signal to noise (S/N) and resolution (Rs) were
calculated using 1,3,5-trichloro benzene, the last
eluting peak of an essential oil mixture (Table 2).
When running samples using helium carrier gas,
an inverse relationship between carrier gas flow
rate and signal to noise and resolution was found
in full scan mode, with resolution dropping from
1988.3 at the optimal 1.0 mLmin-1 flow rate of
helium to 864.9 at 2.0 mLmin-1 (Table 2). When
running the sample using hydrogen carrier gas,
the opposite relationship between carrier gas
flow rate and S/N of the 1,3,5-trichloro benzene
peak, with S/N increasing from 106.0 to 209.6 as
column flow was increased (Table 2).
When running the same samples in SIM mode,
there was little variation in S/N across flow
rates when using helium carrier gas, with a
change from 2690.4 to 2381.0 being seen when
running samples at 1.0mLmin-1 and 2.0mLmin-1
respectively. However, when using hydrogen
carrier gas, S/N improved greatly with carrier
flow increase, with the S/N increasing from 798.8
at 1.0 mLmin-1 to 2359.3 at 2.0 mLmin-1, meaning
that S/N results with hydrogen at higher flow
rates were almost the same as results with helium.
These results appear to correspond to the relative
efficiencies of helium and hydrogen at different
linear velocities, with helium operating at 36.6
cms-1 at 1mL/min column flow, which is around
its optimum, and corresponds to a 2.0 mLmin-1
column flow of hydrogen using the same column.
When looking at the S/N results at the optimal
flows for helium and hydrogen, in full scan mode,
helium clearly gives better results with S/N
9.48 times higher than hydrogen. In SIM mode,
however, S/N of 1,3,5-trichloro benzene using
helium carrier gas is just 1.14 times higher than
hydrogen, showing very similar performance.
Effect of carrier gas on resolution
Resolution of peaks was calculated using the
following equation:
2[(tR)A - (tR)B]/(WA + WB)
t
R = Retention time; W = Peak width; A = Peak A;
B = Peak B
In full scan mode, helium carrier gas followed a
similar pattern to that seen regarding S/N, with
resolution of the 1,3,5-trichloro benzene peak
decreasing as carrier gas flow rate increased
beyond the optimal velocity. When running
samples using hydrogen, there was no clear
relationship between peak resolution and
flow rate, with the best resolution seen at the
intermediate carrier flow of 1.5 mLmin-1. When
comparing the optimal flow rates of each gas
(1.0 - He and 2.0 - H2), peak resolution with
helium carrier gas was almost double (1.9x) that
of hydrogen (Table 2).
In SIM mode, peak resolution when using helium
decreased relative to full scan resolution and
was lower than peak resolution seen in hydrogen
carrier gas (Table 2). Hydrogen resolution was
vastly improved in SIM mode compared with Scan
mode (1.9x) and at optimal flow rates, hydrogen
gave improved resolution (1.76x) compared to
helium.
Background stabilization
Results showed that the background was stable
after 3 days, with repeated injections of the EPA
VOC mixture being tested for 7 days (Fig 3).Discussion
A number of applications now use hydrogen
carrier gas as a viable alternative to helium in a
range of analyses such as detailed hydrocarbon
analysis, semi volatile analysis, blood alcohol
content analysis and simulated distillation.
The van Deemter curve is key to understanding
the effect of carrier gas velocity on efficiency.
Helium and hydrogen have contrasting optimal
gas velocities, with helium’s optimum flow rate at
around 35 cms-1 and hydrogen’s optimum flow
rate being around 50 cms-1.
The results of GC-MS performance when using
helium and hydrogen carrier gas, comparing
resolution and signal to noise, appear to
correspond directly to the carrier gas flow rate
relative to the optimal carrier gas velocity of
each gas. At a column flow of 1 mLmin-1 helium,
the average linear velocity is 36.6 cms-1, which
is close to its optimum velocity. At this helium
column flow, the best performance for both
resolution and S/N were observed in full scan
mode. SIM detection appeared to overcome
some of the problems of reduced carrier gas
efficiency of helium at higher velocities (44.8
cms-1 & 51.8 cms-1), with little difference found in
either resolution or S/N across the range of flow
rates tested.
Hydrogen has an optimum velocity of around 50
cms-1, which corresponds to the column flow of
2.0 mLmin-1. Similarly to helium, running samples
at a sub-optimal flow rate affected resolution and
S/N significantly in full scan mode, but in the case
of hydrogen, also in SIM mode. Interestingly, in
SIM mode, hydrogen carrier gas gave better peak
resolution than helium. It appears that running in
SIM mode largely eliminates background noise
that can cause interference in full scan mode
when using hydrogen. Even when following the
recommendations for preparation of the system
when switching to hydrogen, background signal
will take at least three days to stabilise.
These results clearly demonstrate that hydrogen
can be used for routine analysis of known
compounds. When using full scan mode, analysts
need to be aware that they are likely to see a
2-5 fold reduction in sensitivity. When using
hydrogen carrier gas for GC-MS, it is essential to
initially focus on reduction of factors which cause
increased noise/background.
m/z Dwell (ms) m/z Dwell (ms) m/z Dwell (ms)
53.0 15 59.0 15 68.0 15
80.0 15 93.0 15 105.0 15
107.0 15 108.0 15 111.0 15
119.0 15 120.0 15 121.0 15
133.0 15 136.0 15 139.0 15
147.0 15 154.0 15 155.0 15
161.0 15 175.0 15 187.0 15
189.0 15 204.0 15 205.0 15
212.0 15 220.0 15
Helium
Flow rate / ml min-1 Linear Velocity Full Scan SIM
RS
1.0 36.6 4.94 2.84
1.5 44.8 4.32 2.91
2.0 51.8 3.20 2.75
S/N
1.0 36.6 1988.3 2690.4
1.5 44.8 1356.6 2818.6
2.0 51.8 864.9 2381.0
Hydrogen
Flow rate / ml min-1 Linear Velocity Full Scan SIM
RS
1.0 54.4 2.96 3.20
1.5 66.6 3.25 4.70
2.0 76.9 2.60 5.00
S/N
1.0 54.4 106.0 798.8
1.5 66.6 180.6 1502.8
2.0 76.9 209.6 2359.3
Table 1: SIM ions and dwell time for SIM detection.
Figure 3:
Table 2: Results of resolution and signal to noise effects of helium and hydrogen carrier
gas. Helium samples were detected with the 3mm draw-out plate, hydrogen samples were
detected using the 6mm draw-out plate.Author: Ed Connor1 & Carlos Fidelis2
1 Peak Scientific Instruments, Inchinnan, UK;
2 Department of Chemistry, UNICAMP Sao Paolo,
Brazil
References
1. https://tools.thermofisher.com/content/sfs/brochures/
OT-71468-EN-GC-Helium-Saver-OT71468-EN.pdf
2. http://www.agilent.com/en-us/products/gaschromatography/gc-systems/7890b-gc/programmablehelium
3. http://www.restek.com/ezgc-mtfc
4. http://www.agilent.com/en-us/support/gaschromatography/gcmethodtranslation
5. https://www.agilent.com/cs/library/slidepresentation/
Public/ASTS-2013_Helium_Conservation.pdfwww.peakscientific.com
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