Page 21 - Shimadzu Journal vol.3 Issue1

Environmental Monitoring

capacity-building activities. To facilitate the implementation of the 6. Acknowledgment
GMP, the Stockholm Convention has established Regional
We kindly acknowledge all the UNU project members, especially
Organization Groups (ROGs) for five UN regions. Dr. Shibata is
Dr. Osamu Ito and Ms. Eiko Takashita of the UNU-IAS, Prof.
working for the GMP as a member in the Asia & Pacific region. He
Masatoshi Morita, Faculty of Agriculture, Ehime University, Dr.
remarked that some of the POPs monitoring data as well as the
Yasuyuki Shibata of the National Institute for Environmental
quality assurance and quality control information obtained under
Studies, and the following NPC members of the UNU project for
the UNU-Shimadzu partnership project have been reported at ROG
their contributions to the UNU Session of the ICAEC 2014.
meetings and could be important contributions to a global
monitoring plan on POPs. - Prof. Babu Rajendran RAMASWAMY, Bharathidasan
University, India
5. Shimadzu Applications - Dr. Evangeline Custodio SANTIAGO, University of the
Philippines, The Philippines
Simultaneous analysis of PFOA and PFOS in environmental water, in
- Prof. Hian Kee LEE, National University of Singapore,
addition to the related compounds, can be performed by LC-MS/MS.
Singapore
The Shimadzu Ultra Fast LC-MS/MS series (UFMS series) enables
- Prof. Hyeon Seo CHO, Dr. Lam Hoang NGUYEN, Chonnam
trace-level analysis of environmental water using the Nexera XR
National University, Republic of Korea
LC-20 series and LCMS-8040 operated in the electrospray negative
- Dr. Ruchaya BOONYATUMANOND, Environmental Research
ionization mode. Water samples are passed through a solid phase
and Training Center, Thailand
extraction cartridge and eluted with suitable solvent. The
- Dr. Shakeel BADSHAH, Pakistan Council of Research in Water
concentrated samples are injected with a SIL-20AC XR autosampler.
Resources, Pakistan
Appropriate MRM transitions are identified and optimized using the
- Prof. Viet Hung PHAM, Hanoi University of Science, Vietnam
automatic instrument optimization function of Shimadzu
(in alphabetical order)
LabSolutions software.
In addition, Shimadzu has developed an application illustrating a 7. References
method for reducing background noise in order to increase sensitivity 1) Monitoring Pollution in Asia: A UNU-Shimadzu partnership for
of target PFOS/PFOA. For highly sensitive detection of PFOS/PFOA, it capacity building
is necessary to remove background contamination that exists in the
2) ISO 25101: 2009, Water quality – Determination of
mobile phase or instrument components. These impurities of PFOA
perfluorooctanesulfonate (PFOS) and perfluorooctanoate (PFOA)
may be detected at the same time as the target PFOA is injected. In
– Method for unfiltered samples using solid phase extraction
order to separate the impurity PFOA, which was derived from the
and liquid chromatography/mass spectrometry (2009)
HPLC eluent or system, from the target PFOA in the sample, a delay
column (35 mm x 4.0 mm i.d.,) was installed between the mixer and
the autosampler. In this system, the PFOA peak was detected in 15.8
minutes while the contaminant peak was detected in 17.2 minutes as
shown in the left figure below. For the sixth phase of the
UNU-Shimadzu partnership project, this impurity delay method was
applied to samples of some countries for a performance check. For
more details, please refer to: Shimadzu Application C81
(x1,000) (x1,000)
1:PFOA 413.10>368.80(-) CE: 11.0 1:PFOA 413.10>368.80(-) CE: 11.0
5.0 2:13C-PFOA 417.10>371.80(-) CE: 11.0 5.0 2:13C-PFOA 417.10>371.80(-) CE: 11.0
Blank Blank
2.5 2.5
0.0 0.0
11.0 12.0 13.0 14.0 15.0 16.0 17.0 18.0 19.0 20.0 min 11.0 12.0 13.0 14.0 15.0 16.0 17.0 18.0 19.0 20.0 min
(x1,000) (x1,000)
1:PFOA 413.10>368.80(-) CE: 11.0
1:PFOA 413.10>368.80(-) CE: 11.0
Contaminant peak Contaminant peak and
5.0 2:13C-PFOA 417.10>371.80(-) CE: 11.0 5.0 2:13C-PFOA 417.10>371.80(-) CE: 11.0

STD: PFOA 0.1ppb: Detected STD:PFOA 0.1 ppb target PFOA peak were not separated

2.5 ISTD 2.5 ISTD
0.0 0.0
11.0 12.0 13.0 14.0 15.0 16.0 17.0 18.0 19.0 20.0 min 11.0 12.0 13.0 14.0 15.0 16.0 17.0 18.0 19.0 20.0 min
Chromatogram using the impurity delay method
Chromatogram without the impurity delay method

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