Advances in Mass Spectrometry Instrument Intelligence

Advances in Mass Spectrometry 

Instrument Intelligence 

Overview
There is a global trend towards more self‑aware, 
intelligent tools meant to make life easier. The 
field of liquid chromatography/mass spectrometry 
is no different with the move to automate 
difficult and challenging tasks, making mass 
spectrometry more accessible. These advances 
increase instrument uptime, streamline workflows, 
save time with immediate validated results and 
ultimately reduce cost‑of‑ownership. 
In this poster collection, you will take a deep 
dive into the next evolution of our LC/MS 
instrument portfolio. The new 6475 triple 
quadrupole LC/MS includes easy‑to‑use, yet 
sophisticated onboard intelligence for routine 
analysis. We will demonstrate how the new 
intelligence features can improve analytical 
performance and lab productivity, providing you 
with peace of mind for day‑to‑day operation.

Table of Contents
Develop Methods Faster  
Using Our Intelligent Optimizer  

 3

An end‑to‑end software algorithm for  
LC/MS/MS method development, 
optimization and QA/QC deployment

Ensure Confidence in Results 
While Processing Samples  
with Incredible Speed  

 7

Active & iterative data‑dependent reinjection 
logic for maintaining throughput, uptime, 
and consistency in triple quadrupole  
LC/MS analysis

Maximize Uptime While 
Anticipating Downtime   

11

Accelerated lifetime testing with real‑
time Early Maintenance Feedback (EMF) 
diagnostic monitoring on the 6475 triple 
quadrupole LC/MS system

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

An end-to-end software algorithm 

for LC/MS/MS method development, 

optimization, and QA/QC deployment

Authors: Anding Fan, Vicky He, James Pyke, Erik Lopez, 
Stephanie Aurand, Linfeng Wu, Patrick M. Batoon

Introduction
The act of developing targeted triple quadrupole  
LC/MS (LC/TQ) methods from start to finish is a complex 
and time-consuming, multi-step workflow. Method 
development becomes even more challenging if former 
mass spectrometry parameters for each analyte were not 
established – especially in the case of novel compounds. 
In such cases, “by-hand” optimization and characterization 
is needed to obtain the most effective MRM parameters.
Using the new 6475 triple quadrupole LC/MS system 
with MassHunter 12, intelligent workflows were added 
to ensure that users, particularly in routine analysis QA/
QC lab environments, can maximize their operational 
efficiency. One aspect of LC/MS/MS analysis that may 
benefit from efficiency improvements is with the assisting 

and automation of method optimization. MassHunter 
12 features an embedded 21CFR compliant, method-
oriented, intelligent optimizer; allowing users to optimize 
MRMs and ion source parameters in a fully-automated or 
semi-automated fashion.
Using a modular end-to-end workflow approach, users 
may input chemical formula information which will result 
in (1) optimized MRM transitions for each compound and 
(2) optimal ion source parameters for the overall method. 
A unique feature of this algorithm is the ability to take 
advantage of the LC/TQ’s speed to allow the simultaneous 
optimization of multiple compounds on a per-method 
basis, such that pre-production method development 
time is dramatically reduced compared to compound-by-
compound approaches.

Develop Methods Faster  

Using Our Intelligent Optimizer

3

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

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Counts vs. Acquisition Time (min)

8-Bromoguanosine

4-Chlorocinnamic acid

Amitriptyline

Diethyl phthalate

Dihexyl

phthalate 

Diamyl phthalate

Dioctyl phthalate

Experimental
Chemical formulas of the neutral analytes found in the 
LCMS 7-Analyte Sys Suitability Standard (amitriptyline 
hydrochloride, diethyl phthalate, diamyl phthalate, dihexyl 
phthalate, dioctyl phthalate, 8-bromoguanosine hydrate, 
and 4-chlorocinnamic acid) were entered into the method 
development interface to automatically calculate the 
potential [M+H]+ or [M-H]- precursor ions. 
The optimization workflow was done unattended in 
two major phases. First, MRM optimization: precursor 
fragmentor voltage, RT determination (optional) Product 
Ion selection, and MRM collision energy voltage. Then, ion 
source optimization: drying gas heater, sheath gas heater, 
capillary voltage, nebulizer pressure, drying gas flow, 
sheath gas flow and nozzle voltage.

explore.agilent.com/asms

Figure 1: Fully optimized 7‑analyte standard mixture chromatogram 
created from scratch.

MassHunter 12’s Intelligent Optimizer enables 
comprehensive method development and 
parameter validation

4

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

Append compounds to 

single time segment MRM, dMRM, 

or SIM method 

Select optimization parameters for 

compound and/or ion source 

Open “Add compounds for

optimization” window 

Execute

workflow 

Select guided or 

automated workflow 

Create new or load existing “.m”

acquisition method  

Save optimized compounds 

to Compound Database 

View results

Upon opening a new or existing method in MassHunter 12, 

“Add compounds for optimization” be selected to add additional 

compounds of interest and their target adducts  

The user is presented 

with two choices to 

execute optimization 

with detailed 

descriptions 

Specific compound 

parameters can be 

selected for optimization 

with a defined range and 

step size 

Results are presented in an exploratory 

UI and PDF report to show effects of 

parameter adjustments. Ion source 

parameters can have “weights” applied 

to emphasize more critical analytes

Results and Discussion

The End‑to‑End Optimization Workflow
The new intelligent optimization software algorithm, provides a complete, user-friendly, 
workflow approach to the tedious task of method development. Through this approach, a user 
may create a new method by inputting neutral analyte formulas, importing an existing MRM list 
from CSV, adding uncharacterized analytes to an existing method, or fine-tuning existing MRM 
or source parameters.
Compound and source parameters to be optimized are selected via the “Optimization parameters” 
page in the Method Editor with customizable user-input ranges and step sizes. An example of the 
optimization workflow is described in the diagram below.

Figure 2: Screenshots of the method optimizer user interface from setup to results.

5

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

Results and Discussion

Guided Optimization Workflow
Through this workflow, optimization is carried out in two 
major steps. 
1.  MRM specific parameters are optimized to find the 

ideal product ions, fragmentor voltage, and collision 
energy voltage and retention time assignment (applied 
to injection with column) per analyte. The workflow 
will then pause to allow reviewing of data quality as it 
pertains to each compound. 

2.  Once ready, ion source parameters are optimized 

on a “global” basis to maximize the total ion current 
(unweighted - TIC based optimization) or with 
applied weights to priority analytes (weighted - EIC 
based optimization).

The method will be updated throughout the optimization 
process in stepwise fashion to create the final method. 
The user can save their transitions to the compound 
database to later apply to other methods.

Conclusions
The new 6475 triple quadrupole LC/MS system with MassHunter 12 includes an intelligent MRM 
and source optimizer that is built into the method editor. The final result is a dMRM method with 
fully optimized parameters, MRM transitions, and retention time assignments.
The intelligent optimizer can be used to (1) Create a new method from scratch, (2) Add new 
compounds to an existing method, (3) Fine tune or verify parameters of an existing method.
Optimization results can be reviewed by the user after workflow completed. Any changes to the 
method are saved in an auditable fashion in accordance with to 21 CFR Part 11 compliance.

Automated Optimization Workflow
Through this workflow, optimization is carried out 
without pause, allowing the user optimize multiple 
methods in sequence.
Like Guided optimization, this workflow will also provide 
the user with a method that will include the best MRM 
transitions, collision energies, and voltages based on 
the parameters selected for optimization. It will also 
provide the user with fine-tuned source settings created 
specifically for that method. It can, however, run multiple-
methods instead of a single one. 
During this process, everything is completely automated 
and will transition from MRM to ion source optimization 
immediately. The user will not have the ability to view and 
update results or change the instrument settings. 

Figure 3: Finalized results are printed in an optimization report, stored as method revisions, and saved in a compound repositor.

Optimization reports are produced at the end of the 
workflow with the CE breakdown curves, Fragmentor 
response curve, and source parameter response curves.

Optimized compounds can be immediately 
added into the compound MRM repository, 
allowing users to build future methods 
quickly and efficiently.

6

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

Active & iterative data-dependent reinjection 

logic for maintaining throughput, uptime, and 

consistency in triple quadrupole LC/MS analysis

Authors: Disha Shah, Emma E. Rennie, Lauren Seymour, Madhusudan Sharma, 
James S. Pyke, and Patrick Batoon 

Introduction
Triple quadrupole LC/MS measurements are often 
associated with targeted, quantitative, large batch sample 
analysis with an emphasis on non-stop continuous 
operation.  Such use cases are in the continuous 
processing of QA/QC samples for contaminants in 
pharmaceuticals, pesticides and veterinary drug detection 
in foods, or measurements of biological analytes from a 
sizeable population. Regardless of application, consistent 
results, high sample throughput, and avoidance of sample 
reprocessing is highly desired.  

To aid in the acquisition of high-quality data and high 
throughput measurement, the 6475 triple quadrupole  
LC/MS system with MassHunter 12 includes an intelligent 
worklist reinjection logic feature called Intelligent Reflex.
Herein, we present a technique utilizing an active and 
immediate data processing algorithm that evaluates and 
reinjects samples in a data-dependent manner based on 
the following Intelligent Reflex scenarios:  
1.  Detection of previous sample carryover 
2.  Detection of a sample outside of the calibration range 
3.  Fast analyte screening

Ensure Confidence in Results 

While Processing Samples  

with Incredible Speed

7

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

Experimental
Measurements were carried out using a 6475 triple 
quadrupole LC/MS system (G6475A) and MassHunter 
12 software system which is coupled to an Infinity II 
1290 HPLC system.
MassHunter 12 features new Intelligent Reflex workflows 
which enables a user to automatically add samples or 
blanks in a data-dependent manner. Ions were acquired 
in MRM mode to ensure that the signal was monitored as 
the analyte elutes. A worklist containing Blanks, Samples, 
and Calibration standards was created to stress test 
and demonstrate the data-dependent logic for all three 
Intelligent Reflex workflows. 

A specific Quantitative analysis method is created for 
each workflow and analyte concentration thresholds 
are set to trigger secondary injection. Intelligent Reflex 
reinjection commands are defined as logical conditions 
in the Outliers section of the data analysis method and 
are based on the current abundance or concentration 
measurements for the sample or blank. 
The unified Acquisition and DA analysis (Intelligent 
Reflex parameters) method is created which is used to 
create worklists to demonstrate the workflow logic.  If the 
logical commands are activated, a new injection in the 
worklist is appended or inserted to iterate on until a pass 
condition is met.

Figure 1: Intelligent Reflex Workflow logic.

Blank injection

Test for

carryover

Blank injection

Next sample

Test for

carryover

Acquisition

Above cal.

range

Acquisition

Next sample

Above cal.

range

Fast LC method

target detected

?

Acquisition

Next sample

Standard LC

method

confirmation

O

N

N

N

N

O

Previous Sample Carryover?

Sample Above Cal. Range?

Fast Screening

8

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

Results and Discussion

Intelligent Reflex Workflows
MassHunter 12 Intelligent Reflex workflows evaluate and 
reinject blanks and samples in a data-dependent manner 
within a running worklist. The Intelligent Reflex Workflows: 

– Enhance throughput for large batch sample analysis 

through automation. 

– Boost lab productivity by reducing manual intervention 

and sample reprocessing. 

– Save valuable sample material by automatically 

preventing carryover from contaminating a 
batch analysis. 

– Automatically generate a combined report.

The Carryover Intelligent Reflex Workflows
Sample Carryover or contamination is a very common 
problem which could be due to insufficient washout, 
contaminated wash vial, or overloading sample on 
column.  Detection of carryover in a blank above the 
outlier threshold, will trigger the workflow to insert up 

to n blanks. An additional option to pause the worklist 
if the maximum user defined n limit is met prevents 
contamination of samples.

The Above Calibration Range Intelligent 
Reflex Workflow
Ensuring a target analyte concentration is within the 
calibration curve range is critical when quantifying 
analytical analytes. If an analyte is above the upper limit 
of quantitation (ULOQ), it is necessary to either dilute 
the sample or reduce the injection volume to bring the 
concentration within quantitation limits.
Detection of an analyte in a sample above the calibration 
range will trigger an insert/append re-injection with 
reduced volume to provide an estimated concentration. 
Figure 3 shows a worklist where an analyte has been 
detected as being above the calibration range set in the 
data analysis method. An additional blank is automatically 
appended before sample reinjection to ensure there is no 
carryover. The reduced injection volume is displayed in the 
worklist for each reinjected sample.

Figure 3: Appending a reinjection with lower injection volume due to original measurement reporting above ULOQ. 

Figure 2: Insertion of blanks when carryover is detected during ongoing analysis.

Previous sample carry 
over was detected after 
each predefined blanks

Additional blank 
injections inserted

Reinjected with reduced 
sample volume

9

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

Results and Discussion

The Fast Screening Intelligent Reflex Workflow
Fast screening methods are commonly used to increase 
sample throughput. These methods are short, on the 
order of seconds to minutes, and identify presumptive 
positive samples which are then manually scheduled 
for reinjection and analyzed using a longer confirmation 
method.  Automating the reinjection and analysis of a 
presumptive positive is critical to increasing throughput 
allowing labs to analyze more samples for more targets. 
Upon detection of a presumptive positive in a fast 
screening method, this workflow will either insert or 
append a reinjection with a different analysis method 
for target confirmation. The insert action is used for 
confirmation methods with the same LC method, while the 
append action is used when a different LC method and/or 
column will be used for confirmation. If the insert action 
has been chosen, then a blank with be automatically 
inserted before and after the sample. 

Conclusions
The 6475 triple quadrupole LC/MS system with 

MassHunter 12 features an intelligent workflow called 

Intelligent Reflex.
Intelligent Reflex is an intelligent automated worklist 

reinjection logic tool to maximize analytical throughput or 

ensuring samples are within tolerance.
The three Intelligent Reflex workflows shown can operate 

concurrently in one worklist to ensure samples are 

measured within SOP guidelines.

The fast screening Intelligent Reflex workflow produces 
two different data batches; the 1st tier consists of the 
original worklist with the fast screening method. The 
2nd tier batch consists of reinjected samples which are 
acquired and analyzed with a different, usually longer and 
comprehensive, confirmation method. Additional options 
are available to tailor these workflows to each unique 
analysis and lab SOP: 

– Automatically produce a combined report created from 

the 1st and 2nd tier batch analyses.  

– Append a blank before every appended 2nd tier sample 

or only before the first 2nd tier sample. 

– Append a QC after n number of reinjections are 

appended to the worklist. 

– Pause the worklist after the 1st tier analysis has 

completed for manual verification. 

Figure 4: The worklist automatically inserts a confirmation method after detection of a presumptive positive. 

Presumptive positive 
confirmation method

The new Agilent 6475 triple quadrupole LC/MS system

explore.agilent.com/asms

10

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

Accelerated lifetime testing with real-time Early 

Maintenance Feedback (EMF) diagnostic monitoring 

on the 6475 triple quadrupole LC/MS system

Authors: Michael B. Pastor, Ryan Rademacher, Patrick M. Batoon 

Introduction
Triple quadrupole LC/MS systems have become widely 
accepted as a platform for targeted, large-batch, sample 
analysis on a day-to-day basis. A primary concern for 
routine/targeted analysis is instrument stability; which 
can vary over time due to the soiling of crucial ion optics 
components. While incorporating an internal standard 
and measuring abundance ratio may help alleviate signal 
drift from a data-analysis standpoint, it does not give key 
indications to the quality of the instrument’s health. 
To help alleviate concerns on instrument health and 
longevity, the new Agilent 6475 triple quadrupole  
LC/MS system was designed with onboard intelligence 
that actively reports on the instrument health and status 
through Early Maintenance Feedback (EMF).

EMF reports various aspects pertaining to instrument 
maintenance such as “last tuned”, number of samples 
injected, number of diverter valve switches, last rough 
pump oil change, last gas filter change, and real time 
reports on detector health, nebulizer blockage, ion injector 
blockage, and spray stability status.
Here we present a use case to trigger Early Maintenance 
Feedback (EMF) events to simulate heavy instrument 
use through 10,000 sample injections of spiked bovine 
urine. The sample matrix was specifically chosen due 
the challenging endogenous components that may 
cause measurement issues (salts, metabolites, fats, 
proteins, etc.). 
As this is not a true analytical method, the intention of 
this poster is primarily to stress the Early Maintenance 
Feedback mechanisms, test the instrument’s response to 
heavy matrix accumulation, stability of tune parameters, 
and recovery of instrument tuning if out of spec.

Maximize Uptime While 

Anticipating Downtime 

11

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

Experimental
Bovine urine diluted 1:1 in acetonitrile/water and were 
delivered to the system using an Infinity II 1290 HPLC 
with dual injector setup in overlapped injection mode 
with isocratic flow of 90:10 acetonitrile/water + 0.1% 
Formic acid. 
To generate sufficient backpressure for stable HPLC 
operation and to simulate the use of an analytical HPLC 
column, a ZORBAX Extend-C18, 80Å, 2.1 mm, 1.8 µm, 
1200 bar pressure limit, UHPLC guard column  was used 
(821725-107), as shown in Figure 1.

MRM signals of various analytes were recorded to ensure 
that ions were reaching the detector. This current served 
to “age” the Electron Multiplier horn as if it were in  
standard/normal operation.

Early Maintenance Feedback (EMF) provided real time 
monitoring of the instrument health. EMF intelligence 
is incorporated in the systems firmware to monitor for 
crucial points along the ion path such as ion injector 
blockage, precipitation on the nebulizer, and detector’s 
estimated lifetime.  Additionally, the instrument 
automatically monitored for commonly disruptive 
potential maintenance events such as poor spray stability 
and ion beam blockage events originating at the nebulizer 
or ion injector.
No cleaning or removal of the nebulizer, ion injector, or ion 
source chamber and spray shield was carried out over the 
course of the injection series.

Post‑Experiment Investigations
Upon completion of the injection series, an examination of 
the ion source and desolvation assembly was carried out 
to identify regions of ion burn, salt accumulation, broad 
matrix deposition, or potential modes of failure.
Tune ion abundances that were recorded during the 
Checktune procedure were plotted to evaluate the effects 
of  matrix over time.

Figure 1: A ZORBAX Extend‑C18, 80Å, 2.1 mm, 1.8 µm, 1200 bar 
pressure limit, UHPLC guard column was appended directly 
to the nebulizer to simulate the passing of a sample through a 
chromatographic column.

The new Agilent 6475 triple quadrupole LC/MS system 
coupled with the 1290 Infinity II LC

explore.agilent.com/asms

12

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

Results and Discussion

Pre‑experiment to  
Post‑experiment Physical Attributes
A.  Sample vial with diluted matrix (Bovine urine 1:1 

acetonitrile/water). 

B.  Sample overlaid MRM TIC every 1,000 injections.
C.  MS inlet after 10,000 injections. Spray shield and 

capillary cap with heavy contamination while 
maintaining ion injector performance.

D.  Skimmer with desolvation assembly removed. Cotton 

swabs with IPA to highlight matrix contamination in 
vacuum region after ion injector (front of skimmer, 
back of skimmer, octopole).

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Figure 2: Experiment physical attributes.

A.

C.

B.

D.

Tune Ion Tolerances as Matrix Components 
Accumulated Onto the Spray Chamber
Checktunes were performed every 1,000 injections with 
no cleaning of the nebulizer or ion injector (Figure 3). 
Despite heavy front-end contamination, mass calibration 
(m/z drift) and mass spectral peak width (FWHM) 
remained within tolerance and stable over the 10,000 
injections. Tolerances for m/z<1000, mass calibration 
must remain within ±0.1 Da, while peak width must 
remain ±0.14 Da. Over the course of injection series, 
the instrument reported an “Out of Tolerance” event 
at injection 6,000; this was remedied by running the 
Autotune procedure before proceeding to the next series 
of injections.

No Critical Early Maintenance Feedback 
Events Were Triggered Over the Course of 
This Investigation
Early Maintenance Feedback continuously monitors 
for the most common sources of addressable issues 
pertaining to heavy routine analysis use. Over the course 
of this investigation, none of these events were triggered 
with the exception of “Injection Count” set to a threshold 
of 10,000 injections.
Despite constant bombardment of ions, detector 
health was observed to be stable and did not change 
to a considerable degree, the nebulizer and ion 
injector remained unclogged, and the spray stability 
remained consistent.

Detector EMV

Positive Mode

Negative Mode

Start

1212 V

1232 V

End

1198 V

1232 V

Checktune Results Per 1,000 Injections
Checktune report after 10,000 injections shown in  
Figure 4 with passing result. Results for both positive 
and negative, MS1 and MS2, as well as various scan 
speeds and peak widths shown in a single page report 
(detailed also available).

13

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

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Mass 

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Calibration 

Delta

Injection Number

Checktune - Positive Ion m/z Drift

m/z 58

m/z 118

m/z 322

m/z 622

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m/z 1222

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Checktune - Negative Ion m/z Drift

m/z 69

m/z 113

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ak 

Width 

Delta

Injection Number

Checktune - Positive Ion Peak Width Drift

m/z 58

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m/z 322

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m/z 1222

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ak 

Width 

Delta

Injection Number

Checktune - Negative Ion Peak Width Drift

m/z 69

m/z 113

m/z 302

m/z 602

m/z 1034

m/z 1334

Autotune

Autotune

Autotune

Autotune

Figure 3: Checktune tolerance results performed every 1,000 injections. 

MS Checktune Report - G6475A

MS Checktune Report

Instrument Information

Model

G6475A

Checktune Date

2022-09-25T16:08:08-07:00

Serial Number

SG2222S001

SW/FW Version

3.0.1424/8.1.34

Ion Source

AJS ESI

Ionization Mode

ESI

Last Autotune Date 2022-08-29T11:36:41-07:00

Last Tuned By

SYSTEM (SYSTEM)

Vacuum Pressure

2.25E+0 [R] (Torr); 2.90E-5 [H] (Torr)

Overall Result

Passed

Positive Ion Mode

MS1 Peak Width Unit, Scan Speed Normal

Result

Passed

MS2 Peak Width Unit, Scan Speed Normal

Result

Passed

MS1 Peak Width Narrow, Scan Speed Normal

Result

Passed

MS2 Peak Width Narrow, Scan Speed Normal

Result

Passed

MS1 Peak Width Wide, Scan Speed Normal

Result

Passed

MS2 Peak Width Wide, Scan Speed Normal

Result

Passed

MS1 Peak Width Widest, Scan Speed Normal

Result

Passed

MS2 Peak Width Widest, Scan Speed Normal

Result

Passed

MS2 Scan Speed Fast

Result

Passed

MS2 Scan Speed Ultra

Result

Passed

MS1 Lag Factor

Result

Passed

MS2 Lag Factor

Result

Passed

Gain

Result

Passed

Negative Ion Mode

MS1 Peak Width Unit, Scan Speed Normal

Result

Passed

MS2 Peak Width Unit, Scan Speed Normal

Result

Passed

MS1 Peak Width Narrow, Scan Speed Normal

Result

Passed

MS2 Peak Width Narrow, Scan Speed Normal

Result

Passed

MS1 Peak Width Wide, Scan Speed Normal

Result

Passed

MS2 Peak Width Wide, Scan Speed Normal

Result

Passed

MS1 Peak Width Widest, Scan Speed Normal

Result

Passed

MS2 Peak Width Widest, Scan Speed Normal

Result

Passed

MS2 Scan Speed Fast

Result

Passed

MS2 Scan Speed Ultra

Result

Passed

MS1 Lag Factor

Result

Passed

MS2 Lag Factor

Result

Passed

Gain

Result

Passed

Page 1 of 1

Figure 4: Checktune report results demonstrating that all parameters pass (left) and Early Maintenance Feedback letting 
the user know that the instrument has exceeded 10,000 injections (right). 

14

Overview

Develop Methods Faster

Ensure Confidence in Results

Maximize Uptime

Conclusions

– Instrument robustness over 10,000 injections was 

demonstrated using a heavy matrix (bovine urine) 
sample. 

– Checktunes were recorded to verify instrument 

stability. Tune ion Mass Calibration and Peak Widths 
were recorded every 1,000 injections and were within 
tolerance criteria for good performance.

– Nebulizer spray, ion injector capillary, and spray 

stability triggered no adverse events. 

– Constant ion bombardment through MRM acquisition 

did not age the detector in a significant manner.

References
1.  Robustness of the Agilent Ultivo Triple Quadrupole  

LC/MS with the ESI Source, Agilent Technologies, Inc. 
2019, 5994-0671EN.

2.  Metzger, Benedikt; Willmann, Lucas; Simplify your 

Method Development using the Agilent 1260 Infinity 
Prime LC System and InfinityLab LC/MSD iQ, Agilent 
Technologies, Inc. 2020, 5994-2124EN.

3.  Sartain, Mark; Sosienski, Theresa; Yang, Dan-Hui 

Dorothy; Robustness of the Agilent Ultivo Triple 
Quadrupole LC/MS for Routine Analysis in Food Safety, 
Agilent Technologies, Inc. 2017, 5991-8741EN.

15

Learn more: 
www.agilent.com/chem/6475

Buy online: 
www.agilent.com/chem/store

Find a local Agilent customer center  
in your country:  
www.agilent.com/chem/contactus

U.S. and Canada 
1-800-227-9770 
[email protected]

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Asia Pacific 
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DE81574943

This information is subject to change without notice.

© Agilent Technologies, Inc. 2022 
Published in the USA, October 24, 2022 
5994‑5410EN

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