Waters Corporation, Milford MA, USA; 2. Waters …...Hesperidin (@ λ 283 nm) (A) is not detected in...

1
TO DOWNLOAD A COPY OF THIS POSTER, VISIT WWW.WATERS.COM/POSTERS ©2013 Waters Corporation ADULTERATION IN FRUIT JUICES: A SOLUTION TO A COMMON PROBLEM WITH THE USE OF HIGH RESOLUTION LIQUID CHROMATOGRAPHY, UV DETECTION, QUADRUPOLE-TIME OF FLIGHT MS AND MULTIVARIATE DATA ANALYSIS Marian Twohig 1 , Antonietta Gledhill 2 , Jennifer A. Burgess 1 and Ramesh Rao 2 1. Waters Corporation, Milford MA, USA; 2. Waters Corporation, Manchester, United Kingdom INTRODUCTION Economically motivated adulteration of food has emerged as a growing problem in the food industry due to its extremely lucrative outcome. Economic adulteration has far reaching consequences in the food manufacturing chain, it impacts the profits of reliable food producers and can pose potential threats to the health of unsuspecting consumers. The most common forms of adulteration that occur within the fruit juice industry usually take the form of juice dilution, the addition of high fructose corn syrup (HFCS) or the addition of other fruit juices [1,2]. Analytical methods that have been used to identify adulteration have been reviewed [3-5]. There is a need for highly informative analytical testing methods to help to authenticate ingredients and finished products. In this study, pineapple juice samples were analysed by high resolution liquid chromatography coupled with photodiode array and accurate mass detection. Data interpretation involved multivariate analysis (MVA) and database searching in order to identify any key differences between authentic and adulterated pineapple juices. Several citrus compounds were identified in commercially available juice claiming to be pure pineapple. Figure 1. Juice profiling workflow. Process and extract peaks Use chemometrics to ID marker compounds (MarkerLynx XS) Structural elucidation of identified marker compounds (MS E , EleComp, Chemspider and MassFragment) Acquire standards using LC MS/MS and compare standard results with samples (UPLC Xevo G2QToF) Samples of unknown authenticity High resolution chromatographic separation High sensitivity and accurate mass (UPLC Xevo G2 QToF) METHODS Samples: Three pineapple juice concentrate samples were obtained from a collaborator. Additional pineapple juice samples were purchased from local grocery stores. All samples were centrifuged, filtered and diluted before analysis using UPLC/PDA/Xevo G2 QTof MS. A description of the pineapple samples is given in Table 1. Table 1. Description of the pineapple juice samples. Name Sample Description S10 Study sample - adulterated S11 Study sample - adulterated S12 Study sample - authentic LJ Bought Unknown authenticity KJ Bought Unknown authenticity RESULTS AND DISCUSSION The scores plot resulting from PCA shows that S12 and S11 group closely together (Figure 2). Sample S10 is separated indicating something about this sample is distinctly different. Figure 3 shows an S-Plot from the OPLS-DA model of S12 and S10. Four markers selected as examples are highlighted in the S-plot and a trend plot of these is shown in Figure 4. Figure 2. The PCA scores plot obtained from 6 replicate injections of all the samples. Figure 3. S-plot of S12 (authentic) versus S10 (adulterated): Each dot represents an EMRT pair and the dots on the top right are potential marker compounds found at higher levels in Figure 4. Trend plots of four potential markers. 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 11000 12000 13000 14000 S12 S12 S12 S12 S12 S12 S12 S12 S11 S11 S11 S11 S11 S11 S11 S11 S10 S10 S10 S10 S10 S10 S10 S10 QC QC QC QC QC QC QC LWOPAJ LWOPAJ LWOPAJ LWOPAJ LWOPAJ LWOPAJ LWOPAJ LWOPAJ KnPAJ KnPAJ KnPAJ KnPAJ KnPAJ KnPAJ KnPAJ KnPAJ Sample Group Variables EZinf o 2 - Negativ e_Pineapple_w_QC (M6: PCA-X) - 2011-03-11 10:35:34 (UTC-5) QC S10 LJ KJ S11 S12 KJ LJ Purchased juice (LJ) S10 - Adulterated S12 - Authentic Purchased juice (KJ) S11 - Adulterated S12 S10 Rt 5.10 m/z 711.2862 Rt 5.55 m/z 579.1712 Rt 5.67 m/z 609.1616 Rt 5.55 m/z 579.1712 Rt 5.10 m/z 711.2862 Rt 5.03 m/z 649.2495 Figure 6. XIC of m/z 609.1820 from standard hesperidin (A) and adulterated pineapple juice, S10 (B) with their respective high energy MS E spectra in the insets. The trend plot shows that S10, LJ and the QC sample (a mix of all the samples) were the only samples to contain the marker with m/z 609.1816 (the turquoise trace in Figure 4). In addition, S10 also contained the three other example markers. The molecular formula of the potential marker with m/z 609.1816 was determined to be C 28 H 34 O 15 . A possible identification as hesperidin was given by Chemspider. The MS E fragment data matched the hesperidin fragmentation proposed by MassFragment (Figure 5). Figure 5. MS E high energy spectrum showing MassFragment assignment of hesperidin exact mass ions. Time 1.00 2.00 3.00 4.00 5.00 6.00 7.00 % 0 100 1.00 2.00 3.00 4.00 5.00 6.00 7.00 % 0 100 PA_24_2_098a 2: TOF MSMS ES- 609.182 0.0050Da 1.96e3 5.67 PA_24_2_093a 2: TOF MSMS ES- 609.182 0.0050Da 3.57e3 5.67 m/z 100 200 300 400 500 600 % 0 100 301.0707 609.1819 Hesperidin Standard S10 A B m/z 100 200 300 400 500 600 % 0 100 301.0706 609.1821 301.0707 609.1819 5.67 5.67 301.0706 609.1821 m/z 100 200 300 400 500 600 % 0 100 301.0706 609.1821 609.1820 (+0.1mDa) 28 H 33 O 16 (-H 2 ) 301.0706 609.1821 301.0712 (-0.6mDa) C 16 H 13 O 6 (-C 12 H 22 O 9 ) Figure 7. XIC for m/z 609.182 using a 5mDa window. A: Hesperidin standard, B: S10 (Adulterated juice) C: S12 (Authentic juice) D: LJ (purchased juice). Insets are at ~10X magnification. Figure 8. Hesperidin (@ λ 283 nm) (A) is not detected in the UV data due to lack of sensitivity. (B) XIC for m/z 609.1819 is clearly detected at 5.67 mins in the MS data. The trend plot (Figure 3) suggested that hesperidin was present in LJ (juice purchased locally). Using the same workflow the presence of hesperidin was confirmed. As can be seen in Figure 7 hesperidin was detected in the store purchased sample but not the authentic juice sample. The concentration, however, was too low for UV detection, as shown in the UV chromatogram at 283 nm (Figure 8). Time 2.50 5.00 7.50 % 0 100 PA_24_2_065a 1: TOF MS ES- 609.182 0.0050Da 1.08e4 5.67 Time 2.50 5.00 7.50 % 0 100 PA_24_2_062a 1: TOF MS ES- 609.182 0.0050Da 1.08e4 5.66 Time 2.50 5.00 7.50 % 0 100 PA_24_2_066a 1: TOF MS ES- 609.182 0.0050Da 1.08e4 5.66 Time 2.50 5.00 7.50 % 0 100 PA_24_2_061a 1: TOF MS ES- 609.182 0.0050Da 1.08e4 A C D B Time 5.00 5.50 6.00 6.50 % 0 100 PA_24_2_061a 1: TOF MS ES- 609.182 0.0050Da 1000 Time 5.00 5.50 6.00 6.50 % 0 100 PA_24_2_065a 1: TOF MS ES- 609.182 0.0050Da 1000 5.67 Purchased juice (LJ) S10 Adulterated S12 Authentic Hesperidin Standard Time 2.00 3.00 4.00 5.00 6.00 7.00 8.00 % 0 100 2.00 3.00 4.00 5.00 6.00 7.00 8.00 0.0 5.0e-2 1.0e-1 1.5e-1 2.0e-1 4_2_013 4: Diode Array 283 Range: 2.939e-1 4.88 4.28 1.29 2.45 4_2_013 1: TOF MS ES- 609.182 0.0030Da 274 5.67 A B PDA @ 283 nm Store purchased (LJ) ToF MS m/z 609.1819 Store purchased (LJ) The other example markers in the S-plot were also investigated. Three potential compounds narirutin, limonin 17-beta-D-glucopyranoside (LG) and nomilinic acid 17-beta-D-glucopyranoside (NAG) were identified. Hesperidin, narirutin, LG and NG are found in citrus fruits [7,8]. Hesperidin is the most abundant flavanoid found in sweet orange juices, the next most abundant is narirutin [7]. The commercial sample LJ also looks to contain a small quantity of orange juice, or possibly lemon juice. The adulteration of S10 with orange juice was later confirmed with the collaborator. CONCLUSIONS Without prior knowledge of the samples, four citrus compounds were identified in an adulterated pineapple juice sample. MS E enabled the simultaneous acquisition of exact mass precursor and fragment ions, which was used in the process of compound identification. The high sensitivity of the Xevo G2 QTof MS enabled the detection of hesperidin in a store-purchased product that claimed to be authentic pineapple juice. PDA detection was not able to detect this low level, demonstrating the requirement for ultra sensitive techniques in the search for potential adulterants. UPLC with QToF MS can be used to obtain highly detailed information to help in the process of food authentication. References 1. W. Simpkins and M. Harrison, Trends in Food Sci. and Technol., 6 (10), 321-328, 1995. 2. P.R. Ashurst, Chemistry and Technology of Soft Drinks and Fruit Juices, 2nd edition, Black- well Publishing, Oxford, 2005. 3. A. Yamamoto, M. Kawai, T. Miwa, T. Tsukamoto, S. Kodama and K. Hayakawa, J. Agric. Food Chem., 56 (16), 7302-7304, 2008. 4. D. Cautela, B. Laratta, F. Santelli, A. Trifirò, L. Servillo and D. Castaldo, J. Agric. Food Chem., 56 (13), 54075414, 2008. 5. Y. Zhang, D. Krueger, R. Durst, R. Lee, D. Wang, N. Seeram and D. Heber, J. Agric. Food Chem., 57 (6), 25502557, 2009. 6. L. Eriksson, E. Johansson, N. Kettaneh-Wold, J. Trygg, C. Wikström and S. Wold, “Multi- and Megavariate Data Analysis: Basic Principles and Applications”, 2nd edition, Umetrics Academy, 2006. 7. G. Gattuso, D. Barreca, C. Gargiulli, U. Leuzzi, C. Caristi., Molecules 12, 1641-1673, 2007. 8. S. Hasegawa, M. Miyake., Food Rev. Int. 12, 413-435, 1996. To confirm the identification, a standard of hesperidin was analysed and compared to the component in the sample, as shown in Figure 6. UV conditions: UV system: ACQUITY PDA Detector Range: 210-500nm Sampling rate: 20 pts /s QTof MS Conditions: MS System: Xevo™ G2 Quadrupole Time-of-flight (QToF) Ionization Mode: ESI Negative (ESI-) Analyser Mode: Resolution Capillary Voltage (kV): 2.0 Cone Voltage: 25 V Desolvation Temp: 450˚C Desolvation Gas: 900 L/Hr Source Temp: 130 ˚C MS E Low Energy Collision Energy: 4 eV High Energy Collision Energy: 15-45 eV Acquisition Range: 501200 m/z Scan time: 0.1 sec Lock Mass reference: Leucine Enkephalin Data Analysis: Data analysis and trending was performed using MarkerLynx XS. This software solution performs multivariate analysis (MVA) [6] on mass spectral data sets using the Exact Mass Retention Time (EMRT) pairs. Principal Component Analysis (PCA) was used for initial investigation followed by a more predictive multivariate model - orthogonal projection to latent structures-discriminate analysis (OPLS-DA). OPLS-DA allows a relationship to be drawn between the classes and the potential marker compounds in each sample group. Markers identified by MarkerLynx were then automatically transferred to EleComp, Chemspider and MassFragment, in order to obtain the elemental composition and potential structures for the key markers.

Transcript of Waters Corporation, Milford MA, USA; 2. Waters …...Hesperidin (@ λ 283 nm) (A) is not detected in...

Page 1: Waters Corporation, Milford MA, USA; 2. Waters …...Hesperidin (@ λ 283 nm) (A) is not detected in the UV data due to lack of sensitivity. (B) XIC for m/z 609.1819 is clearly detected

TO DOWNLOAD A COPY OF THIS POSTER, VISIT WWW.WATERS.COM/POSTERS ©2013 Waters Corporation

ADULTERATION IN FRUIT JUICES: A SOLUTION TO A COMMON PROBLEM WITH

THE USE OF HIGH RESOLUTION LIQUID CHROMATOGRAPHY, UV DETECTION,

QUADRUPOLE-TIME OF FLIGHT MS AND MULTIVARIATE DATA ANALYSIS

Marian Twohig1, Antonietta Gledhill2, Jennifer A. Burgess1 and Ramesh Rao2

1. Waters Corporation, Milford MA, USA; 2. Waters Corporation, Manchester, United Kingdom

INTRODUCTION

Economically motivated adulteration of food has emerged as a

growing problem in the food industry due to its extremely

lucrative outcome. Economic adulteration has far reaching

consequences in the food manufacturing chain, it impacts the

profits of reliable food producers and can pose potential

threats to the health of unsuspecting consumers.

The most common forms of adulteration that occur within the

fruit juice industry usually take the form of juice dilution, the

addition of high fructose corn syrup (HFCS) or the addition of

other fruit juices [1,2]. Analytical methods that have been

used to identify adulteration have been reviewed [3-5]. There

is a need for highly informative analytical testing methods to

help to authenticate ingredients and finished products.

In this study, pineapple juice samples were analysed by high

resolution liquid chromatography coupled with photodiode

array and accurate mass detection. Data interpretation

involved multivariate analysis (MVA) and database searching

in order to identify any key differences between authentic and

adulterated pineapple juices. Several citrus compounds were

identified in commercially available juice claiming to be pure

pineapple.

Figure 1. Juice profiling workflow.

Process and extract peaksUse chemometrics to ID marker compounds

(MarkerLynx XS)

Structural elucidation of identifiedmarker compounds

(MSE, EleComp, Chemspider and MassFragment)

Acquire standards using LC MS/MS and compare standard results with samples

(UPLC Xevo G2QToF)

Samples of

unknown authenticity

High resolution chromatographic separationHigh sensitivity and accurate mass

(UPLC Xevo G2 QToF)

METHODS

Samples:

Three pineapple juice concentrate samples were obtained from a collaborator. Additional pineapple juice samples were purchased from local grocery stores.

All samples were centrifuged, filtered and diluted before analysis using UPLC/PDA/Xevo G2 QTof MS. A description of the pineapple samples is given in Table 1.

Table 1. Description of the pineapple juice samples.

Name Sample Description

S10 Study sample - adulterated

S11 Study sample - adulterated

S12 Study sample - authentic

LJ Bought – Unknown authenticity

KJ Bought – Unknown authenticity

RESULTS AND DISCUSSION

The scores plot resulting from PCA shows that S12 and S11 group closely together (Figure 2). Sample S10 is separated indicating something about this sample is distinctly different.

Figure 3 shows an S-Plot from the OPLS-DA model of S12 and S10. Four markers selected as examples are highlighted in the S-plot and a trend plot of these is shown in Figure 4.

Figure 2. The PCA scores plot obtained from 6 replicate injections of all the samples.

Figure 3. S-plot of S12 (authentic) versus S10 (adulterated): Each dot represents an EMRT pair and the dots on the top right are potential marker compounds found at higher levels in

Figure 4. Trend plots of four potential markers.

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

10000

11000

12000

13000

14000

S12

S12

S12

S12

S12

S12

S12

S12

S11

S11

S11

S11

S11

S11

S11

S11

S10

S10

S10

S10

S10

S10

S10

S10 QC

QC

QC

QC

QC

QC

QC

LW

OP

AJ

LW

OP

AJ

LW

OP

AJ

LW

OP

AJ

LW

OP

AJ

LW

OP

AJ

LW

OP

AJ

LW

OP

AJ

Kn

PA

J

Kn

PA

J

Kn

PA

J

Kn

PA

J

Kn

PA

J

Kn

PA

J

Kn

PA

J

Kn

PA

J

Sample Group

Variables

DS1: 5.55_579.1712DS1: 5.67_609.1816DS1: 5.03_649.2495DS1: 5.10_711.2862

EZinf o 2 - Negativ e_Pineapple_w_QC (M6: PCA-X) - 2011-03-11 10:35:34 (UTC-5)

QC

S10

LJ

KJS11S12

KJLJ

Purchased juice (LJ)

S10 - Adulterated

S12 - Authentic

Purchased juice (KJ)

S11 - Adulterated

S12 S10

Rt 5.10m/z 711.2862

Rt 5.55m/z 579.1712

Rt 5.67m/z 609.1616

Rt 5.55m/z 579.1712

Rt 5.10m/z 711.2862

Rt 5.03m/z 649.2495

Figure 6. XIC of m/z 609.1820 from standard hesperidin (A) and adulterated pineapple juice, S10 (B) with their respective high energy MSE spectra in the insets.

The trend plot shows that S10, LJ and the QC sample (a mix of all the samples) were the only samples to contain the marker with m/z 609.1816

(the turquoise trace in Figure 4). In addition, S10 also contained the three other example markers. The molecular formula of the potential marker with m/z 609.1816 was

determined to be C28H34O15. A possible identification as hesperidin was given by Chemspider. The MSE fragment data matched the hesperidin fragmentation proposed by MassFragment (Figure 5).

Figure 5. MSE high energy spectrum showing MassFragment assignment of hesperidin exact mass ions.

Time1.00 2.00 3.00 4.00 5.00 6.00 7.00

%

0

100

1.00 2.00 3.00 4.00 5.00 6.00 7.00

%

0

100

PA_24_2_098a 2: TOF MSMS ES- 609.182 0.0050Da

1.96e3

5.67

PA_24_2_093a 2: TOF MSMS ES- 609.182 0.0050Da

3.57e3

5.67

m/z100 200 300 400 500 600

%

0

100

m/z100 200 300 400 500 600

%

0

100301.0707

609.1819

301.0706

609.1821

HesperidinStandard

S10

A

B

m/z100 200 300 400 500 600

%

0

100

m/z100 200 300 400 500 600

%

0

100301.0707

609.1819

301.0706

609.1821

301.0707

609.1819

5.67

5.67

301.0706

609.1821

m/z100 200 300 400 500 600

%

0

100

m/z100 200 300 400 500 600

%

0

100301.0707

609.1819

301.0706

609.1821

609.1820 (+0.1mDa)C28H33O16(-H2)

301.0706

609.1821

301.0712 (-0.6mDa)C16H13O6 (-C12H22O9)

Figure 7. XIC for m/z 609.182 using a 5mDa window. A: Hesperidin standard, B: S10 (Adulterated juice) C: S12 (Authentic juice) D: LJ (purchased juice). Insets are at ~10X

magnification.

Figure 8. Hesperidin (@ λ 283 nm) (A) is not detected in the UV data due to lack of sensitivity. (B) XIC for m/z 609.1819 is clearly detected at 5.67 mins in the MS data.

The trend plot (Figure 3) suggested that hesperidin was present in LJ (juice purchased locally). Using the same workflow the presence of hesperidin

was confirmed. As can be seen in Figure 7 hesperidin was detected in the store purchased sample but not the authentic juice sample. The concentration, however, was too low for UV detection, as shown in the UV chromatogram at 283 nm (Figure 8).

Time2.50 5.00 7.50

%

0

100

PA_24_2_065a 1: TOF MS ES- 609.182 0.0050Da

1.08e4

5.67

Time2.50 5.00 7.50

%

0

100

PA_24_2_062a 1: TOF MS ES- 609.182 0.0050Da

1.08e45.66

Time2.50 5.00 7.50

%

0

100

PA_24_2_066a 1: TOF MS ES- 609.182 0.0050Da

1.08e4

5.66

Time2.50 5.00 7.50

%

0

100

PA_24_2_061a 1: TOF MS ES- 609.182 0.0050Da

1.08e4

A

C D

B

Time5.00 5.50 6.00 6.50

%

0

100

PA_24_2_061a 1: TOF MS ES- 609.182 0.0050Da

1000

Time5.00 5.50 6.00 6.50

%

0

100

PA_24_2_065a 1: TOF MS ES- 609.182 0.0050Da

10005.67

Purchased juice (LJ)

S10 Adulterated

S12Authentic

HesperidinStandard

Time2.00 3.00 4.00 5.00 6.00 7.00 8.00

%

0

100

2.00 3.00 4.00 5.00 6.00 7.00 8.00

AU

0.0

5.0e-2

1.0e-1

1.5e-1

2.0e-1

PA_24_2_013 4: Diode Array 283

Range: 2.939e-1

4.88

4.28

1.29

2.45

PA_24_2_013 1: TOF MS ES- 609.182 0.0030Da

274

5.67

A

B

PDA @ 283 nmStore purchased

(LJ)

ToF MS m/z 609.1819Store purchased

(LJ)

The other example markers in the S-plot were also investigated. Three potential compounds narirutin, limonin 17-beta-D-glucopyranoside (LG) and

nomilinic acid 17-beta-D-glucopyranoside (NAG) were identified. Hesperidin, narirutin, LG and NG are found in citrus fruits [7,8]. Hesperidin is the most abundant flavanoid found in sweet orange juices, the next most

abundant is narirutin [7]. The commercial sample LJ also looks to contain a small quantity of orange juice, or possibly lemon juice.

The adulteration of S10 with orange juice was later confirmed with the collaborator.

CONCLUSIONS

Without prior knowledge of the samples, four citrus

compounds were identified in an adulterated pineapple juice sample.

MSE enabled the simultaneous acquisition of exact mass

precursor and fragment ions, which was used in the process of compound identification.

The high sensitivity of the Xevo G2 QTof MS enabled the

detection of hesperidin in a store-purchased product that

claimed to be authentic pineapple juice.

PDA detection was not able to detect this low level,

demonstrating the requirement for ultra sensitive

techniques in the search for potential adulterants.

UPLC with QToF MS can be used to obtain highly detailed

information to help in the process of food authentication.

References

1. W. Simpkins and M. Harrison, Trends in Food Sci. and Technol., 6 (10), 321-328, 1995.

2. P.R. Ashurst, Chemistry and Technology of Soft Drinks and Fruit Juices, 2nd edition, Black-well Publishing, Oxford, 2005.

3. A. Yamamoto, M. Kawai, T. Miwa, T. Tsukamoto, S. Kodama and K. Hayakawa, J. Agric. Food Chem., 56 (16), 7302-7304, 2008.

4. D. Cautela, B. Laratta, F. Santelli, A. Trifirò, L. Servillo and D. Castaldo, J. Agric. Food Chem., 56 (13), 5407–5414, 2008.

5. Y. Zhang, D. Krueger, R. Durst, R. Lee, D. Wang, N. Seeram and D. Heber, J. Agric. Food Chem., 57 (6), 2550–2557, 2009.

6. L. Eriksson, E. Johansson, N. Kettaneh-Wold, J. Trygg, C. Wikström and S. Wold, “Multi- and Megavariate Data Analysis: Basic Principles and Applications”, 2nd edition, Umetrics Academy, 2006.

7. G. Gattuso, D. Barreca, C. Gargiulli, U. Leuzzi, C. Caristi., Molecules 12, 1641-1673, 2007.

8. S. Hasegawa, M. Miyake., Food Rev. Int. 12, 413-435, 1996.

To confirm the identification, a standard of hesperidin was analysed and compared to the component in the sample, as shown in Figure 6.

UV conditions:

UV system: ACQUITY PDA Detector Range: 210-500nm

Sampling rate: 20 pts /s QTof MS Conditions:

MS System: Xevo™ G2 Quadrupole Time-of-flight (QToF) Ionization Mode: ESI Negative (ESI-)

Analyser Mode: Resolution Capillary Voltage (kV): 2.0 Cone Voltage: 25 V

Desolvation Temp: 450˚C Desolvation Gas: 900 L/Hr Source Temp: 130 ˚C

MSE Low Energy Collision Energy: 4 eV High Energy Collision Energy: 15-45 eV Acquisition Range: 50—1200 m/z

Scan time: 0.1 sec Lock Mass reference: Leucine Enkephalin

Data Analysis:

Data analysis and trending was performed using MarkerLynx XS. This software solution performs multivariate analysis (MVA) [6] on mass spectral data sets using the Exact Mass Retention Time (EMRT) pairs.

Principal Component Analysis (PCA) was used for initial investigation followed by a more predictive multivariate model - orthogonal projection to latent structures-discriminate analysis (OPLS-DA). OPLS-DA allows a

relationship to be drawn between the classes and the potential marker compounds in each sample group.

Markers identified by MarkerLynx were then automatically transferred to EleComp, Chemspider and MassFragment, in order to obtain the elemental composition and potential structures for the key markers.