February 2003 Sample Distribution
Purpose of USDA/GIPSA
Proficiency Program
Through the USDA/GIPSA Proficiency Program, USDA seeks to improve the overall performance of testing for biotechnology-derived grains and oil seeds. The USDA/GIPSA Proficiency Program helps organizations identify areas of concern and take corrective actions to improve testing capability and reliability.
In February 2003, USDA/GIPSA’s Technical Services Division expanded the program to offer samples for qualitative or quantitative analysis. Participants, in response to GIPSA’s request, specifically request samples for either qualitative or quantitative analysis. GIPSA then mails the participant the samples they requested: Twelve (12) corn samples and three (3) soybean samples. The samples for qualitative analyses contain different combinations of biotechnology events at a single concentration. The samples for quantitative analyses contain combinations of biotechnology events at various concentrations.
Quantitative Sample Analysis. Samples for quantitative analysis are prepared gravimetrically using non-transgenic corn and biotechnology-derived corn, and the events present in the samples vary in concentration from 0.1 % to 5.0 %. The corn samples contain various combinations of the events T25, CBH351, MON810l, GA21, E176, Bt11 and NK603. The soybean samples are either non-transgenic soybeans or non-transgenic soybeans fortified with Roundup ReadyTM soybeans at the 0.1 % or 3.0 % level. For quantitative sample results, the participants are asked to submit results in weight % of the biotechnology event, or in accordance with their standard reporting procedures. Each participant receives twelve (12) corn and three (3) soybean samples containing approximately 20 grams of ground grain.
GIPSA mailed samples to fifty-eight (58) participating
organizations. Twenty-seven (27)
participants requested samples for qualitative analysis, twenty-nine (29)
participants requested samples for quantitative analysis, and two participants
requested corn samples for qualitative analysis and soybean samples for
quantitative analysis. Participants
included organizations from
Fifty-four (54) of the participating organizations returned results by the deadline date. Twenty-six (26) participants submitted results for qualitative corn and/or soybean samples, twenty-six (26) participants submitted results for quantitative corn and/or soybean samples, and two participants submitted results for qualitative corn samples and quantitative soybean samples.
Those organizations giving GIPSA permission are listed by name in an attachment to this report (Attachment 1). Those organizations giving GIPSA permission are also listed by name in the Proficiency Program February 2003 Summary Tables (Tables 1 and 2). All other organizations were assigned a Participant Identification Number.
Data submitted by the participants are summarized in this report, including tables and charts. The data are summarized to reflect the number of participants who submitted results, the number of participants who classified all samples correctly as either positive or negative for the event, and the percentage of samples that were classified correctly by all participants.
Participants were given the option of receiving samples for qualitative or quantitative analysis. Participants receiving samples for qualitative analysis reported the presence or absence of a particular event in each sample. Participants receiving samples for quantitative analysis reported the concentration of a particular event in each sample. Due to the complexity of the data, this report summarizes the data in two sections:
Qualitative Data Summaries. This section includes a summary of the following sample results:
· Samples for qualitative analysis: DNA-based results
· Samples for quantitative analysis: DNA-based results
· Samples for qualitative analysis: Protein-based results
· Samples for quantitative analysis: Protein-based results
Quantitative Data Summaries. This section provides summaries of DNA-based quantitative analysis data submitted by participants who received samples for quantitative analysis. This section presents data only on a composite basis and does not reflect any individual participant data assessment. The following information is presented:
· Average analytical results reported for each fortification level for each event (corn and soybean)
· Coefficients of variation (CVs) for the analytical results reported for each fortification level for each event (corn and soybean)
· False positive and false negative results reported for the each fortification level for each event (corn and soybeans)
Qualitative
Data Summaries
Samples
for Qualitative analysis: DNA-Based
Results
The data submitted by the participants who received samples for qualitative analysis were assessed on a qualitative basis. If the event was present in the sample and the participant reported the sample as positive for the event that was considered a correct response. Conversely, if the event was present in the sample and the participant reported the sample as negative for the event that was considered an incorrect response. Similarly, if the event was not present in the sample and the participant reported the sample as negative for the event that was considered a correct response. Conversely, if the event was not present in the sample and the participant reported the sample as positive for the event that was considered an incorrect response.
Table 1 shows results reported by each participating organization on qualitative samples analyzed using DNA-based procedures. Participants are either listed by name or by a Participant Identification Number.
The data area also summarized on a composite basis for each grain (corn and soybean) event in Graph 1 (Summary Reported Qualitative Sample Analyses for All Organizations) showing the percentage of correct responses and number of sample analytical results submitted for each transgenic event in corn and soybeans.
Table 1. Samples for Qualitative
Analysis: DNA-Based Results by
Participant

Graph 1. Summary Reported Qualitative
Sample Analyses for All Organizations

Samples for Quantitative analysis: DNA-Based Results
Quantitative data are presented in two ways. First, the participants were evaluated on their ability to detect the biotech event contained in the quantitative test samples (Table 2 and Graph 2). Second, the participant results compared on a composite basis and compared to the target level of fortified biotech events (Table 5 and Graph 3).
As with the samples for qualitative analysis, if the event was present in the sample and the participant reported the sample as positive for the event that was considered a correct response. Conversely, if the event was present in the sample and the participant reported the sample as negative for the event that was considered an incorrect response. Similarly, if the event was not present in the sample and the participant reported the sample as negative for the event that was considered a correct response. Conversely, if the event was not present in the sample and the participant reported the sample as positive for the event that was considered an incorrect response.
Table 2 shows results reported by each participating organization on quantitative samples analyzed using DNA-based procedures. Participants are either listed by name or by a Participant Identification Number.
The data are summarized on a composite basis for each grain (corn and soybean) event in Graph 2 (Summary Reported Quantitative Sample Analyses for All Organizations) showing the percentage of correct responses and number of sample analytical results submitted for each transgenic event in corn and soybeans.
Table 2. Samples for Quantitative
Analysis: DNA-based Results by
Participants

Graph 2. Summary Reported Quantitative
Sample Analyses for All Organizations

Qualitative
Data Summaries
Samples
for Qualitative analysis: Protein-Based
Results
Table 3 shows results reported by each participating organization on qualitative samples analyzed using protein-based procedures. This table presents data from both Lateral Flow Strip and ELISA technologies. Participants are either listed by name or by a Participant Identification Number.
Table 3. Samples for Qualitative Analysis: Protein-Based Results by Participant

Qualitative
Data Summaries
Samples for Quantitative analysis: Protein-Based Results
Table 4 shows results reported on samples for quantitative
analyses using protein-based testing technology. As indicated in the table, no participant
submitted results on the analysis of corn samples using the Lateral Flow Strip
and one participant submitted results on the analysis of the soybean samples
using the Lateral Flow Strip (qualitative results). One participant submitted quantitative
results on the analysis of the corn samples using the ELISA plate assay
technology, and two participants submitted quantitative results on the analysis
of the soybean samples using the ELISA plate assay technology.
Table 4.
Samples for Quantitative Analysis:
Protein-Based Results by Participant

Organizations that requested samples for quantitative analysis received twelve corn samples and three soybean samples. The twelve corn samples consisted of duplicate samples from six different formulations. This resulted in a varying number of reported results for each event/concentration combination.
Table 5 summarizes all results reported on a quantitative basis. As indicated in the table, samples contained various concentrations of the transgenic events:
· Corn: 0.1 %, 0.5 %, 1.5 %, 3.0 % and/or 5.0 %
· Soybean: 0 %, 0.1 % or 3.0 %
Note: It is important to understand that there are no internationally recognized standard reference materials for all transgenic events. The transgenic seed or grain used to prepare these samples was made available to GIPSA by the Life Science Organizations. Care was taken to ensure the material was either essentially 100 % positive for the event, or adjusted accordingly. The fortified samples were prepared using a process that has been verified to produce homogenous mixes, and representative samples were analyzed to ensure proper fortification and homogeneity.
The data from Table 5 are presented in Graph 3 (Quantitative Sample Results: % of Fortification Level Reported for All Organizations) and Graph 4 (Quantitative Sample Results: Coefficients of Variation). Table 6 shows the number of false positives reported on samples that did not contain an event, and the number of false negatives reported on samples that contained an event. The data from Table 6 are presented in Graph 5 (Quantitative Corn/Soy Samples Results: False Positive/False Negatives for all Organizations). As can been seen in the table, the false positive rate, i.e., a positive result was reported for an event that the sample did not contain, varied among the events. The highest percentage of false positives was reported for events T25 (10 %) and Bt11 (12.5 %). No false positives were reported for CBH351 and NK603, and the false positive rates for MON810, GA21 and E176 were less than 10 %. One false positive result (4.5 %) was reported for the soybean event.
False negative rates, i.e., a negative result was reported for an event that the sample did contain, ranged from 16.7 % (event Bt11) to 32.8 % (MON810) at the 0.1 % fortification level. As might be expected, at the higher fortification levels the false negative rate decreased, but it is interesting to note that events T25, MON810 and GA21 still had false negatives reported at the 3.0 % fortification level. At fortification levels above the 0.1 % no false negatives were reported for events CBH351 and NK603. One false negative result was reported for the soybean event at the 0.1 % level, and one false negative result was reported for the soybean event at the 3.0 % level.
General observations from these data:
1. The means for corn events T25, GA21, Bt11 and NK603 were generally within + 25 % of the fortification levels.
2. The means for CBH351, MON810 and E176 were consistently lower that the fortification level.
3. The means for the soybean event were consistently higher than the fortification level, especially at the 0.1 % fortification level.
4. As might be expected, the Coefficients of Variation (CV) decreased as the fortification level increased. At the 0.1 % fortification level the CV’s ranged from 64.8 % to 153.1 % for the corn events. At the 3.0 % fortification level, the CV’s were lower, ranging from 40.1 % to 52.9 %. For the soybean event, the CV’s ranged from 220.7 % at the 0.1 % fortification level to 31.4 % at the 3.0 % fortification level.
Fortification Standard Results
Level Mean Range Deviation CV Reported
Event T25 (Corn)
0 % 0 % NA NA NA 40
0.1 % 0.15 % 0.00 % - 0.60 % 0.14 94.6 % 60
0.5 % 0.55 % 0.00 % - 1.10 % 0.35 63.5 % 28
1.5 % 1.65 % 0.00 % - 4.20 % 1.06 64.3 % 48
3.0 % 2.27 % 0.00 % - 3.80 % 1.20 52.9 % 12
Event CBH351 (Corn)
0 % 0 % NA NA NA 30
0.1 % 0.07 % 0.00 % - 0.20 % 0.05 71.5 % 18
0.5 % 0.33 % 0.01 % - 1.10 % 0.24 71.7 % 32
1.5 % 1.20 % 0.40 % - 3.00 % 1.25 103.8 % 6
3.0 % 1.85 % 0.01 % - 3.00 % 0.97 52.5 % 18
Event MON810 (Corn)
0 % 0.04 % 0.00 % - 0.82 % 0.17 390.4 % 42
0.1 % 0.12 % 0.00 % - 0.50 % 0.18 153.1 % 59
0.5 % 0.29 % 0.00 % - 0.45 % 0.14 49.0 % 13
1.5 % 1.41 % 0.00 % - 4.10 % 1.24 88.1 % 36
3.0 % 1.75 % 0.00 % - 5.00 % 1.03 58.7 % 37
5.0 % 3.04 % 0.58 % - 5.00 % 1.18 39.0 % 36
Event GA21 (Corn)
0 % 0.01 % 0.00 % - 0.20 % 0.03 543.6 % 54
0.1 % 0.14 % 0.00 % - 0.35 % 0.12 92.5 % 10
0.5 % 0.52 % 0/00 % - 1.82 % 0.37 71.5 % 26
1.5 % 1.74 % 0.80 % - 5.03 % 0.88 50.6 % 52
3.0 % 2.32 % 0/00 % - 3.12 % 0.82 35.2 % 24
Event 176 (Corn)
0.0% 0.17 % 0.00 % - 2.70 % 0.68 400.0 % 16
0.1% 0.08 % 0.00 % - 0.50 % 0.09 121.3 % 34
0.5 % 0.31 % 0.00 % - 1.90 % 0.26 90.3 % 68
1.5 % 0.96 % 0.00 % - 2.50 % 0.51 53.5 % 34
3.0 % 1.80 % 0.48 % - 5.00 % 0.84 46.7 % 34
5.0 % 3.01 % 1.00 % - 5.00 % 1.12 37.3 % 24
Event Bt11 (Corn)
0 % 0.03 % 0.00 % - 0.50 % 0.09 347.9 % 40
0.1 % 0.10 % 0.00 % - 0.20 % 0.06 64.8 % 12
0.5 % 0.56 % 0.00 % - 2.00 % 0.36 64.7 % 55
1.5 % 1.36 % 0.00 % - 3.30 % 0.64 47.4 % 67
3.0 % 2.43 % 0.70 % - 5.00 % 0.97 40.1 % 32
Event NK603 (Corn)
0 % 0 % NA NA NA 9
0.1 % 0.15 % 0.00 % - 0.50 % 0.15 96.9 % 20
0.5 % 0.43 % 0.15 % - 1.40 % 0.27 62.4 % 40
1.5 % 1.14 % 0.50 % - 2.20 % 0.51 44.7 % 32
3.0 % 2.60 % 0.90 % - 4.80 % 1.21 46.7 % 20
Roundup ReadyTM (Soybean)
0 % 0 % NA NA NA 18
0.1 % 0.31 % 0 % – 3.17 % 0.68 220.7 % 20
3.0 % 3.71 % 2.2 % - 5.0 % 1.17 31.4 % 20
Graph 3. Quantitative Samples
Results: Percentage of Fortification
Level


CBH MON
Level T25 351 810 GA21 E176 Bt11 NK603 RR Soy
0
%
False Pos. 4 0 3 4 1 5 0 1
# of Obs. 40 30 42 54 16 40 8 22
% False Pos. 10 % 0 % 7.1 % 7.4
% 6.3 % 12.5 % 0 % 4.5 %
0.1
%
False Neg. 13 4 20 3 12 2 4 1
# of Obs. 60 18 61 10 34 12 20 23
% False Neg. 21.7 % 22.2 % 32.8 % 30.0
% 35.3 % 16.7 % 20.0 % 4.3 %
0.5
%
False Neg. 2 0 2 2 6 3 0 N/A*
# of Obs. 28 32 13 26 68 55 40
% False Neg. 7.1 % 0 % 15.4 % 7.7 % 8.8 % 5.5 % 0
%
1.5
%
False Neg. 2 0 2 0 0 3 0 N/A
# of Obs. 48 6 36 52 34 67 32
% False Neg. 4.2 % 0 % 5.6 % 0
% 0 % 4.5 % 0 %
3.0
%
False Neg. 1 0 2 2 0 0 0 1
# of Obs. 12 20 37 26 34 32 20 23
% False Neg. 8.3 % 0 % 5.4 % 7.7
% 0 % 0 % 0 % 4.3 %
5.0
%
False Neg. N/A N/A 0 N/A 0 N/A N/A N/A
# of Obs. 36 24
% False Neg. 0 % 0 %
*N/A means no samples were analyzed at this level of fortification

Organizations testing for transgenic events do a good job of identifying the presence or absence of transgenic events down to levels of 0.1 %. The results obtained on the samples for qualitative analysis were similar to the results obtained previously.
This was the first time the USDA/GIPSA Proficiency Program offered participants the opportunity to analyze samples that contained various amounts of the transgenic events and report quantitative results. Approximately half of the participants chose samples for qualitative analysis, and the other half chose samples for quantitative analysis. The samples for qualitative analysis were fortified at 0.1 %, and the samples for quantitative analysis were fortified at levels ranging from 0.1 % to 5.0 %.
With respect to quantitative analysis, the variability of the results was relatively high, especially at lower fortification levels, but given the lack of official methods and internationally recognized reference materials, this was not an unexpected observation. Generally, the mean values reported were lower than the target fortification levels, especially at the higher fortification levels. Since this was the first time samples were offered for quantitative analysis, the quantitative results were summarized in a table rather than by individual organization. In the future results will be provided for those organizations that report quantitative results on an individual participant basis.
May 2003 Sample
Distribution
Samples were distributed in May 2003, and the next
distribution is scheduled for August 2003.
Participants were again given the opportunity to receive samples for
qualitative or quantitative analysis. In
addition, two new transgenic events have been deregulated in the
To obtain additional information on the USDA/GIPSA
Proficiency Program, contact Donald C. Kendall, Biotechnology Program Manager,
at US 816-891-0463, or by e-mail at biotech-lab@usda.gov.
Attachment
1. GIPSA Proficiency Program Participants: February 2003
The following organizations gave GIPSA permission to identify them as participants in the GIPSA Proficiency Program:
Address 2, rue Jacques Monod
F-33651 MARTILLAC
Contact Dr. F. Bois
Telephone 33 5 56 64 03 55
Fax 33 5 56 64 07 66
E-mail kaligene@wanadoo.fr
Address VanderHaveweg 2
4411 RB Rilland
The
Telephone +31(0) 113 557100
Fax +31(0) 113 552237
E-mail jan.pertijs@nl.advantaseeds.com
Address
Bundoora VIC 3083
Contact Megan Smithwick, Ph.D.
Telephone 613 9479 5068
Fax 613 9479 5693
E-mail smithwickm@agriquality.com.au
Company AINIA (Instituto Tecnologico Agroalimentario)
Address Benjamin Franklin 5-11
Parque Tecnologico
46980 Paterna
Contact David Tomas
Telephone +34961366090
Fax +34961318008
E-mail dtomas@ainia.es
Company Bayerisches Landesamt fur Gesundheit und Lebensmittelsicherheit (LGL)
Address Veterinarstsr. 2
D-85764 Oberschleissheim
Contact Sven Pecoraro, Ph.D.
Telephone +49-89-31560-585
Fax +49-89-31560-458
E-mail Sven.Pecoraro@lgl.Bayern.de
Address Institut fur Hygiene und Umwelt
Marckmannstr.129b, Haus 6
D20539
Contact Norbert Hess, Ph.D.
Telephone +49 40 42845 3629
Fax +49 40 42845 3840
E-mail norbert.hess@bug.hamburg.de
Address
Contact Alex Kahler
Telephone 800-423-4263/605-697-8500
Fax 605-697-8507
Address: Córdoba
1402
Contact Juan
J. Giorda
Telephone 54-341-4211000
Fax 54-341-4213471 ext 2211
E-mail jjgiorda@bcr.com.ar
Company
Address 7877
Pleasant
Contact Parm Randhawa
Telephone 916-655-1581
Fax 916-655-1582
E-mail randhawa@calspl.com
D-48149 Muenster
Contact Claudia Bruenen-Nieweler, Ph.D.
Telephone 49-251-9821-186
Fax 49-251-9821-250
E-mail nieweler@cvua.nrw.de
Company CTNCV-Laboratorio
Address Calle Santa Gema 56
31570 San Adrian
Navarra
Contact Blanca Jauregui, Ph.D.
Telephone 34 948 670159
Fax 34 948 696127
E-mail bjauregui@ctncv.es
Contact David Pinero
Telephone 515-265-1461
Fax 515-266-5453
E-mail davidpinero@eurofinsus.com
Address Via Fermi 1
I-21020 Ispra (VA)
Contact Marco Mazzara
Telephone 0039 0332 785773
Fax 0039 0332 789333
E-mail marco.mazzaro@jrc.it
Company FASMAC CO., LTD
Address
Kanagawa 243-0041
Contact Dr. Satoshi Futo
Telephone +81 46-295-8787
Fax +81 46-294-3738
E-mail sfuto@fasmac.co.jp
Address Institute for Plant Viology, Microbiology and Biosafety
Messeweg 11-12
D-38104 Braunschweig
Contact Dr. Antje Dietz-Pfeilstetter
Telephone 0531-2993819
Fax 0531-2993013
E-mail a.dietz@bba.de
Attachment
1. GIPSA Proficiency Program Participants: February 2003
Company Federal Institute for Risk Assessment BfR
Address Thielallee 88-92
D-14195
Contact Jutta Zagon, Ph.D.
Telephone 49-30-8412-3876
Fax 49-30-88412-3685
E-mail j.zagon@bfr.bund.de
Company GeneScan
Analytics GmbH,
Address Engesserstr. 4
79108
Contact Dr. Castor Menendez
Telephone +49-(0)761-5038
Fax +49-(0)761-5038-111
E-mail gmoanalytics@genescan.com
Company GeneScan USA, Inc.
Address
Belle
Contact Frank
Spiegelhalter
Telephone 504-398-0940
Fax 504-398-0945
E-mail fspiegel@gmotesting.com
Address
Contact Jane
Pappin
Telephone 641-472-9979, ext. 122
Fax 641-470-1504
E-mail jpappin@genetic-id.com
Company Institute of Food Chemistry and
Technology
Address
Petersgasse 12/2
8010
Contact Ursula Muelleder, Ph.D.
Telephone 0043 316 873 6499
Fax 0043 316 873 6971
E-mail ursula.muelleder@tugraz.at
Company IRTAGen Servei d'Anàlisis Genètiques
Address Crta. Cabrils, s/n
08348-CABRILS
Contact Imma Folch
Telephone 93 750 75 11
Fax 93 753 39 54
E-mail imma.folch@irta.es
Company Landesamt fur Verbraucherschutz und Landwirtschaft
Address Referat 5.11 (Biologische Methoden)
Pappelallee 20
14469
Contact Dr. Holgen Pilsl
Telephone 0335 52 17 127
Fax 0335 52 17 205
E-mail Holger.Pilsl@LVL.Brandenburg.de
Company
Landesuntersuchungsanstalt
fur das Gesundheits-und Veterinarwesen
Sachsen
Address Sitz Dresden
Amtliche Lebensmitteluberwachung
Fachgebiet 6.6
Postfach 2002744
D – 01192
Contact Dr. Gerda Hempel
Telephone +49-0351-8144-474
Fax +49-0351-8144-497
E-mail gerda.hempel@lua.sms.sachsen.de
Company LAV Sachsen-Anhalt
Address Freiimfelder Str. 66/68
D-061112
Contact Dr. Dietrich Maede
Telephone +49 345 5643 222
Fax +49 345 5643 439
E-mail maede@lvluahal.ml.lsa-net.de
Address
Mail Zone: BB5k
Contact Ming Y. Deng, Ph.D.
Phone (636) 737-5854
Fax (636) 737-6134
E-mail ming.y.deng@monsanto.com
Company National Institute of Biology
Address Vecna pot 111
1000
Contact Dr. Jana Zel
Telephone +386 1 4233388
Fax +386 1 2573 847
E-Mail jana.zel@nib.si
Company National
Laboratory of Foods and Drugs, Department of
Address 161-2, kuen
Nankang
Contact Dr. Lih-Ching
Chiueh
Telephone 02-26531273
Fax 02-26531268
E-mail clc1025@nlfd.gov.tw
Address Bankokubashi Bldg
Kaigan-dori Naka-ku
231-0002,
Contact Ms Kumi Goto
Phone 045-641-1037
Fax 045-641-1038
E-mail goto@nykk.or.jp
Company OMIC USA Inc.
Address Laboratory and Inspection
Contact Farin Hajar, DNA Laboratory Manager
Telephone 503-224-5929
Fax 503-223-9436
E-mail dna.us@omicnet.com
Address Av. Vereador Alfredo das Neves, 480
Alemoa
11095-510
Santos-SP
Contact Erica Lui
Reinhardt
Phone 55 13 3295-9558
Fax 55 13 3295-9553
E-mail erica_reinhardt@sgs.com
Company Silliker Laboratories of
Address
Contact Dan Wetsch
Telephone 319-366-3570
Fax 319-366-4018
E-mail daniel.wetsch@silliker.com
Company Sistemas Genomicos S. L.
Address
46980
Paterna (
Contact Angela
Perez
Telephone +34-96-199-4266
Fax +34-96-199-4265
E-mail info@sistemasgenomicos.com
Address Zur Taubeneiche 10-12
D-59821
Contact Jochen Kilwinski, Ph.D.
Telephone 49-2931-809-220
Fax 49-2031-809-290
E-mail kilwinski@svia-arnsberg.nrw.de
Address Westerfeldstrasse l
D-32758
Contact Dr. Margit Hagen
Telephone +49 (0)5231/911-740
Fax +49 (0)5231/911-503
E-mail margit.hagen@svua-detmold.nrw.de
D-47798
Contact Dr. Heike Naumann
Telephone 0049-2151-849287
Fax 0049-2151-849110
E-mail naumann@svua-krefeld.nrw.de
Address Abbotstown
Contact Patricia Bonner
Telephone +353 1 8025871
Fax +353 1 8217320
Email pbonner@statelab.ie
Address Molecular Genetics Lab
BR452 Km 142
Uberlandia-MG
38405-232
Contact Cristhiane Abegg Bothona
Phone 55-34-32334510
FAX 55-34-32166537
Address Sitz Jena
Amtliche Lebensmitteluberwachung
Nauburger Str. 96 b
D-07743
Contact Annelis-Reanate Winterstein
Telephone 0049-3641-486-201
Fax 0049-3641-486-114
E-mail awinterstein@tllv.thueringen.de