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First revision January 17, 2019 
Study on the chemical composition profile of Gardasil 9 
 
Introduction and description of the need 
 
The quali-quantitative analysis of organic compounds is of great importance in the pharmacological field , as potential safety problems arise from                                       
1
the new production processes of biological drugs and from the complex structural and biological characteristics of these products . 
2
The review of the registration dossiers for military vaccines that we find in the final report of the Parliamentary Commission of Inquiry “Depleted                                             
3
Uranium” revealed the presence of protein-chemical contaminants and impurities, which required further analytical study. Our association has                                 
4
decided to take charge of it, as far as possible.  
This project is part of the above-mentioned insights. It has been therefore necessary to develop a technology capable of analyzing a wide spectrum                                             
of molecules of chemical, metabolic and protein origin in order to evaluate the quality of the obtained results. A method has been therefore                                           
developed, based on SANIST -6​
technology to test vaccines for purity and safety (further information below).   
5
 
 
 
Results and Discussion 
  
1. Analysis of the composition declared on the vaccine’s leaflet 
 
 
 
Compound  Precence     Ionic species   
         
  Sodium chloride  Not detected  - 
  L-histidine  yes  [M+H]​+
  Polysorbate 80  Not detected  - 
  Sodium borate  Not detected  - 
  L1 protein [Human papillomavirus type 6]    yes  [M+nH]​n+
  L1 protein [Human papillomavirus type 11]   Not detected  - 
  L1 protein [Human papillomavirus type 16]   yes  [M+nH]​n+
  L1 protein [Human papillomavirus type 18]   yes  [M+nH]​n+
  L1 protein [Human papillomavirus type 31]   yes  [M+nH]​n+
  L1 protein [Human papillomavirus type 33]    yes  [M+nH]​n+
  L1 protein [Human papillomavirus type 45]    yes  [M+nH]​n+
  L1 protein [Human papillomavirus type 52]    yes  [M+nH]​n+
  L1 protein [Human papillomavirus type 58]    Not detected  - 
1
Lett Appl Microbiol. 2015 Feb;60(2):174-80. doi: 10.1111/lam.12355 (​https://www.ncbi.nlm.nih.gov/pubmed/25376111​)
2
Fuchs F., Biochimie. 2002 Nov;84(11):1173-9 (​https://www.ncbi.nlm.nih.gov/pubmed/12595146​)
3
​http://www.camera.it/leg17/491?idLegislatura=17&categoria=022bis&tipologiaDoc=documento&numero=023&doc=pdfel
4
​http://www.camera.it/leg17/436?shadow_organo_parlamentare=2588
5
Albini A. et al., Front Endocrinol (Lausanne). 2018 Apr 5;9:110.doi:10.3389/fendo.2018.00110. (​https://www.ncbi.nlm.nih.gov/m/pubmed/29674995/​)
First revision January 17, 2019 
2. Protein fraction analysis 
 
According to the manufacturer’s specifications, the Gardasil 9 vaccine contains some proteins. The sample has been analyzed for the identification                                       
of these proteins. 
 
 
2.1 - 1° analysis: Bradford’s assay 
 
To ascertain whether proteins were presents, the Gardasil 9 vaccine was submitted to Bradford’s assay. 300 μL of osmotic H2O were added to                                             
200 μL of vaccine to reach the appropriate volume: 500 μL of Bradford’s reagent were then added to the solution. Following visual analysis,                                             
presence of proteins or peptides’ sequences was confirmed by the blue coloring of the sample. 
 
Based on the previously determined calibration curve, the proteins’ concentration has been estimated at ​0.062 mg/mL​. 
 
 
 
2.2 - 2​a​
analysis: Digestion as it is 
 
After Bradford's assay, the vaccine’s sample was submitted to enzymatic digestion. 10 μL of the raw sample has been treated with 50 μL of                                               
Trypsin and left at in thermoblock at 37°C overnight. 1 mg / mL hemoglobin control has been prepared and treated as the sample.  
Presence of proteins in the sample has been detected with this analysis. 
 
 
 
2.3 - 3​a​
Analysis: Digestion of the Precipitate 
 
The vaccine sample was then submitted to a second analysis, whereby the solid and the liquid fractions were separated through centrifugation.                                         
After centrifugation, all the supernatant was taken away. The remaining precipitated solid fraction was then treated with 30 μL of Trypsin and left                                             
at in thermoblock at 37°C overnight. 1 mg / mL hemoglobin control was prepared and treated following the same procedure of the vaccine sample.                                               
Following the digestion, both vaccine sample and control were submitted to centrifugation. The supernatant was extracted and placed in vials for                                         
analysis. 20 μL of osmotic H​2​O were added to reach sufficient volume for the injection. 
Presence of proteins in the sample has been detected with this analysis. 
 
 
 
Name  Molecular weight​ (KDa)  Score  Database 
         
 
Chain A, High resolution cryo-EM maps of Human               
Papillomavirus 16 reveal L2 location and heparin-induced             
conformational changes  
54  415/50   5KEP_A  
  major capsid protein L1 [Human papillomavirus type 33]   56  226/50   ACV84008.1  
 
Chain A, Crystal Structure Of Hpv58 Pentamer In Complex                 
With The Fab Fragment Of Antibody A12a3  
55  219/50   5Y9C_A  
  major capsid protein L1 [Human papillomavirus type 52]   59  175/50   ABU55765.1  
  L1 capsid protein [Human papillomavirus type 31]    56  139/50   AAA92894.1  
 
major capsid protein L1, partial [Human papillomavirus type               
16]  
6  123/50   ADB97224.1  
  L1 protein [Human papillomavirus type 18]   64  94/50   AAP20601.1  
  L1 [Human papillomavirus type 45]   57  69/50   AAY86494.1  
  L1 [Human papillomavirus type 6]   56  72/50   AAF00066.1  
First revision January 17, 2019 
Toxicity evaluation for the sequences identified 
 
It was not possible to evaluate the molecular toxicity index, based on the peptides’ sequences identified. 
  
 
 
Presence of free peptides 
 
No free peptides have been detected. 
 
 
 
3. Metabolic fraction analysis 
 
It should be emphasized that this screening study provides a semi-quantitative data, which correspond to a range ​from nanograms to micrograms                                         
as an indicative order of magnitude. To obtain accurate quantitative data, it will be necessary to proceed using certified analytical standards of                                           
known strength.  
 
Below, we report the identification screening results obtained in the two batches under examination:  
 
 
 
 
 
Lotto #1 (R013092)       
 
 
     
 
 
Unknown compounds 
 
 
Known compounds 
   
 
In Batch #1 we identified 338 signals, of which only 22% known 
 
 
NOTES FOR UNDERSTANDING​: ​this is a first level analysis, which means an identification based on molecular weight. If the result                                       
is univocal, (i.e. at a measured molecular weight only one compound matches) it is more likely to be accurate, but absolute certainty                                           
is not possible in this phase. As you will notice, as far as certain compounds are concerned, different substances can correspond to                                           
the same molecular weight. Further targeted analysis, of the appropriate standard are thus necessary to confirm their identity.
 
 
 
3.1. Gardasil vaccine 
 
338 signals ​were detected, among which only 22​% ​gave a potential classification (​Table 1​). It should be highlighted that the proportion of signals                                             
is not exactly correlated to the proportion of compounds, since in mass-spectrometry a single compound can generate several mass/charge ratios                                       
(m/z). 
First revision January 17, 2019 
It must be specified that compound identity is not certain and it should be confirmed by a second level screening carried out with certified                                               
analytical standards. 
In fact, during screening level, the device measures a particular data by its accurate molecular weight (measurement error <10 ppm). The empirical                                           
formula is calculated on the basis of these measures. Some formulas might correspond to several compounds having the same molecular weight                                         
but different chemical identity 
 
NOTES FOR UNDERSTANDING: ​in essence, what has been ascertained is that we have several unknown signals, which could                                   
not be identified through international databases.  
 
 
Molecules potentially belonging to toxin category have been researched. They have been suggested on the basis of accurate m / z mode research                                             
(error <10 ppm) using the toxic compounds database in the Metlin search engine. ​Table 2​ shows the candidates obtained. 
 
 
 
4. Fina Consideration 
 
From the analyst performed on the two lots there is a significant variability in the content of contaminant and impurities, of these, most were not 
characterized using the metabolic and protein reference databases (KEGG, NCBI-Prot and SwissProt). ​8-9
  
There is a critical issue in the contamination of various compounds potentially or definitely harmful to human health. 
 
  In short, the first questions we asked ourselves, and the relative answers obtained, are the following: 
   
  1. Are the chemical substances in the data sheet present?  Partly  
  2. Are there any chemical contaminations?  Yes 
  3. How many contaminating compounds are there?  Over 70 
  4. What are they potentially?  Chemical toxins, chemical compounds 
  Next analysis 
   
  1. to identify with certainty the most interesting probable compounds 
  2. determine the exact amount of each contaminant 
 
 
 
5. Future research developments 
 
Confirmation and identity analyzes will be performed using the ​"Tandem Mass Spectrometry (MS / MS)" ​technique associated with the aid of 
certified analytical standards. The analyzes will be performed in compliance with the European directives (EU directive 2002/657 / EC) useful for 
the identification of compounds. ​29 
 
 
6. Description of SANIST technology 
 
The internationally renowned SANIST platform, through publications in pre-referenced scientific journals - was used to perform a first identification 
screening on the interest vaccinee. 
 
 
7. Details related to the analytical method 
First revision January 17, 2019 
 
SANIST technology consists of: 
a. kit for the extraction of the analytes (the unknown substances to be determined); 
b. the analysis system LC-SACI / ESI-MS 6 which reduce the chemical noise of mass spectrometers and obtain a better detection 
instrumental signals; 
c. the SANIST ​-
data processing system consisting of a local and network bioinformatics platform capable of processing data through the 6 7
use of dedicated databases and customized algorithms. It is specified that, in the screening phase, the identification is carried out in the 
scientific research context and through research in official banks (KEGG, NCBI-Prot and SwissProt) ​8-9 ​
without the use of certified 89
analytical standards. A second level analysis must be performed with certified analytical standards to confirm the identity. 
 
 
 
8. Areas of application of SANIST technology 
 
Until today the SANIST platform is applicable in the following fields: 
 
a. In​ clinical research​ of disease markers and their direct application in the diagnostic field. 
b. Food services​, food traceability. Comparative studies to determine the quality of products based on their complex molecular composition. 
Control of food counterfeiting. 
c. Nutraceutical sector​, development of the nutritional value of a food supplement based on its molecular composition. Forged search (for 
example: addition drugs). 
d. Pharmaceutical secto​r, drug control and research of active biomolecules. 
e. Cosmetic industry​: the molecular composition of cosmetic products can be carefully monitored and correlated with the quality of the 
product. 
 
 
 
9. How to read the tables 
 
This is a screening phase, the instrument measures an accurate molecular weight data (measurement error <10 ppm). On the basis of these 
measures a brute formula is calculated. Some formulas can correspond to several compounds having the same molecular weight but different 
chemical identity (see table 1) 
 
Example of a single associated component: 
 
 
■ (-)-Jasmonic acid  C12H18O3  211.1313019 
 
 
In this example, the instrument detected a signal with a molecular weight. By inserting the brute formula in the databases, it was possible to 
associate a probable component. 
 
 
 
 
 
 
 
 
 
 
10. Complete contamination tables 
6
​Albini A. et al., Rapid Commun Mass Spectrum. 2015 Oct 15;29(19):1703-10. doi: 20.1002/rcm.7270. (​https://onlinelibrary.wiley.com/doi/full/10.1002/rcm.7270​) 
7
​Cristoni S. et al., J Mass Spectrom. 2017 Jan;52(1):16-21. doi:10.1002/jms.3895. (https://www.ncbi.nlm.nih.gov/pubmed/27776380)
8
​Kanehisa M. et al., Nucleic Acids Res. 2017 Jan 4;45(D1):D353-D361. doi:10.1093/nar/gkw1092. (​https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210567/​) 
9
​Cristoni S. et al., Expert Rev Proteomics. 2004 Dec; 1(4):469-83. (​https://www.ncbi.nlm.nih.gov/pubmed/15966842 
First revision January 17, 2019 
 
Table1 
     
Candidate compounds  Brute Formula  Ratio m/z  
■ (-)-Jasmonic acid  C12H18O3  211.1313019 
■ (10S)-Juvenile hormone III diol  C16H28O4  285.2043152 
■ 16alpha,17alpha-Dihydroxyprogesterone   
acetophenide  C29H36O4  449.2609863 
■ 1-Palmitoyl-2-(5-keto-8-oxo-6-octenoyl) 
-sn-glycero-3-phosphocholine 
C32H58NO10P  648.3792725 
■ 2,5-Dichloro-4-oxohex-2-enedioate  C6H4Cl2O5  226.9511973 
■ 2,5-Dichloro-4-oxohex-2-enedioate  C6H4Cl2O5  226.9511795 
■ 2-Ethylhexyl phthalate  C16H22O4  279.158844 
■ 3-Chloro-4-(dichloromethyl)   
-5-hydroxy-2(5H)-furanone  C5H3Cl3O3  216.9224243 
■ 4-Prenyldihydropinosylvin  C19H22O2  283.1706238 
■ 5-O-Methyl-myo-inositol  C7H14O6  195.0874863 
■ 6-Keto-prostaglandin F1alpha  C20H34O6  371.2367249 
■ 6-Mercaptopurine ribonucleoside triphosphate  C10H15N4O13P3S  524.9658813 
■ Acetylintermedine  C17H27NO6  342.1893311 
■ Acetylspiramycin  C45H76N2O15  443.2720133 
■ all-trans-Hexaprenyl diphosphate  C30H52O7P2  587.3295288 
■ Aphidicolin  C20H34O4  339.2527161 
■ Astemizole  C28H31FN4O  459.2644653 
■ Auriculine  C31H45NO8  560.3268331 
■ Avadharidine  C36H51N3O10  343.6897583 
■ Benzo[b]fluorene  C17H12  217.1044159 
■ Brunfelsamidine  C5H7N3  110.0712204 
■ Canthiumine  C33H36N4O4  553.2880859 
■ Chivosazole F  C41H57NO8  692.405426 
■ Chloral hydrate  C2H3Cl3O2  164.9265976 
■ Colubrinoside  C50H78O19  492.2683563 
■ Cucurbitacin B  C32H46O8  559.3309937 
■ Dauricine  C38H44N2O6  625.3318481 
■ Fasoracetam  C10H16N2O2  197.1282654 
■ Formothion  C6H12NO4PS2  257.9989014 
■ Fumitremorgin A  C32H41N3O7  290.6576843 
■ Fusaproliferin  C27H40O5  445.2876994 
■ Grayanotoxin I  C22H36O7  413.2475128 
■ GTP-gamma-S  C10H16N5O13P3S  539.9771729 
■ Hexachloro-1,3-butadiene  C4Cl6  258.8174744 
First revision January 17, 2019 
■ Hydrocortisone cypionate  C29H42O6  487.2982686 
■ Istamycin C1  C19H37N5O6  432.2798767 
■ JSTX-3  C27H47N7O6  566.3640747 
■ Kolanone  C33H42O4  503.3056641 
■ Lasiocarpine  C21H33NO7  412.2279358 
■ Lasonolide A  C41H60O9  697.4401855 
■ Leurosine  C46H56N4O9  405.2019348 
■ L-Histidine  C6H9N3O2  156.0765839 
■ Lovastatin acid  C24H38O6  423.2746124 
■ Melagatran  C22H31N5O4  430.2484894 
■ Methyllycaconitine  C37H50N2O10  683.3430176 
■ Mibefradil  C29H38FN3O3  496.3033905 
■ Mycinamicin IV  C37H61NO11  696.4367879 
■ Netilmicin  C21H41N5O7  476.3059031 
■ Oleoylglycerone phosphate  C21H39O7P  435.2471924 
■ Onnamide A  C39H63N5O12  794.454895 
■ Ophiobolin A  C25H36O4  401.2615814 
■ Pentachlorophenol  C6HCl5O  264.8521729 
■ Perfluorooctylsulfonyl fluoride  C8F18O2S  502.9395752 
■ Platycodin A  C59H94O29  634.3006592 
■ Pleurostyline  C25H29N3O2  404.2324829 
■ Prednisolone tebutate  C27H38O6  459.2792511 
■ Probucol  C31H48O2S2  517.3231506 
■ Protoporphyrinogen IX  C34H40N4O4  569.3136597 
■ Repaglinide  C27H36N2O4  453.2725677 
■ Repaglinide  C27H36N2O4  453.2766724 
■ Resolvin D1  C22H32O5  377.2325999 
■ Rhodojaponin IV  C24H38O8  455.2614441 
■ RU-0211  C20H32F2O5  391.2341309 
■ Sulfluramid  C10H6F17NO2S  527.9948934 
■ Symlandine  C20H31NO6  382.2190247 
■ Taurocholate  C26H45NO7S  516.300827 
■ Tiadinil  C11H10ClN3OS  268.0276947 
■ Trichloroethanol  C2H3Cl3O  148.9350891 
■ Valinomycin  C54H90N6O18  556.3158875 
■ Valnemulin  C31H52N2O5S  565.3616435 
■ Violacene  C10H13BrCl4  352.8970642 
■ Westiellamide  C27H42N6O6  547.3314819 
■ Zineb  C4H6N2S4. Zn  274.8809814 
 
First revision January 17, 2019 
 
Table 2  
 
Ratio m/z   Molecule* 
157.0799179  C7H12N2S 
173.0782318  C4H8N6O2 
C6H11F3O2 
178.0585175 
C6H6F3N3 
C4H3N9 
195.1224823  C8H18O5 
200.0403748  C5H13NO3S2 
206.893631  C4H2Cl4O 
208.8906708  C3H4Cl4Si 
218.9194489 
C4H10Se2 
C6H4BrO2P 
C5H5Cl3OS 
272.1782837 
C13H25N3OS 
C15H26ClNO 
278.1966248 
C14H23N5O 
C13H27NO5 
 
 
* Brute formulas associated with candidate toxic compounds. 
 
 

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Corvelva study-on-the-chemical-composition-profile-of-gardasil9

  • 1. First revision January 17, 2019  Study on the chemical composition profile of Gardasil 9    Introduction and description of the need    The quali-quantitative analysis of organic compounds is of great importance in the pharmacological field , as potential safety problems arise from                                        1 the new production processes of biological drugs and from the complex structural and biological characteristics of these products .  2 The review of the registration dossiers for military vaccines that we find in the final report of the Parliamentary Commission of Inquiry “Depleted                                              3 Uranium” revealed the presence of protein-chemical contaminants and impurities, which required further analytical study. Our association has                                  4 decided to take charge of it, as far as possible.   This project is part of the above-mentioned insights. It has been therefore necessary to develop a technology capable of analyzing a wide spectrum                                              of molecules of chemical, metabolic and protein origin in order to evaluate the quality of the obtained results. A method has been therefore                                            developed, based on SANIST -6​ technology to test vaccines for purity and safety (further information below).    5       Results and Discussion     1. Analysis of the composition declared on the vaccine’s leaflet        Compound  Precence     Ionic species                Sodium chloride  Not detected  -    L-histidine  yes  [M+H]​+   Polysorbate 80  Not detected  -    Sodium borate  Not detected  -    L1 protein [Human papillomavirus type 6]    yes  [M+nH]​n+   L1 protein [Human papillomavirus type 11]   Not detected  -    L1 protein [Human papillomavirus type 16]   yes  [M+nH]​n+   L1 protein [Human papillomavirus type 18]   yes  [M+nH]​n+   L1 protein [Human papillomavirus type 31]   yes  [M+nH]​n+   L1 protein [Human papillomavirus type 33]    yes  [M+nH]​n+   L1 protein [Human papillomavirus type 45]    yes  [M+nH]​n+   L1 protein [Human papillomavirus type 52]    yes  [M+nH]​n+   L1 protein [Human papillomavirus type 58]    Not detected  -  1 Lett Appl Microbiol. 2015 Feb;60(2):174-80. doi: 10.1111/lam.12355 (​https://www.ncbi.nlm.nih.gov/pubmed/25376111​) 2 Fuchs F., Biochimie. 2002 Nov;84(11):1173-9 (​https://www.ncbi.nlm.nih.gov/pubmed/12595146​) 3 ​http://www.camera.it/leg17/491?idLegislatura=17&categoria=022bis&tipologiaDoc=documento&numero=023&doc=pdfel 4 ​http://www.camera.it/leg17/436?shadow_organo_parlamentare=2588 5 Albini A. et al., Front Endocrinol (Lausanne). 2018 Apr 5;9:110.doi:10.3389/fendo.2018.00110. (​https://www.ncbi.nlm.nih.gov/m/pubmed/29674995/​)
  • 2. First revision January 17, 2019  2. Protein fraction analysis    According to the manufacturer’s specifications, the Gardasil 9 vaccine contains some proteins. The sample has been analyzed for the identification                                        of these proteins.      2.1 - 1° analysis: Bradford’s assay    To ascertain whether proteins were presents, the Gardasil 9 vaccine was submitted to Bradford’s assay. 300 μL of osmotic H2O were added to                                              200 μL of vaccine to reach the appropriate volume: 500 μL of Bradford’s reagent were then added to the solution. Following visual analysis,                                              presence of proteins or peptides’ sequences was confirmed by the blue coloring of the sample.    Based on the previously determined calibration curve, the proteins’ concentration has been estimated at ​0.062 mg/mL​.        2.2 - 2​a​ analysis: Digestion as it is    After Bradford's assay, the vaccine’s sample was submitted to enzymatic digestion. 10 μL of the raw sample has been treated with 50 μL of                                                Trypsin and left at in thermoblock at 37°C overnight. 1 mg / mL hemoglobin control has been prepared and treated as the sample.   Presence of proteins in the sample has been detected with this analysis.        2.3 - 3​a​ Analysis: Digestion of the Precipitate    The vaccine sample was then submitted to a second analysis, whereby the solid and the liquid fractions were separated through centrifugation.                                          After centrifugation, all the supernatant was taken away. The remaining precipitated solid fraction was then treated with 30 μL of Trypsin and left                                              at in thermoblock at 37°C overnight. 1 mg / mL hemoglobin control was prepared and treated following the same procedure of the vaccine sample.                                                Following the digestion, both vaccine sample and control were submitted to centrifugation. The supernatant was extracted and placed in vials for                                          analysis. 20 μL of osmotic H​2​O were added to reach sufficient volume for the injection.  Presence of proteins in the sample has been detected with this analysis.        Name  Molecular weight​ (KDa)  Score  Database              Chain A, High resolution cryo-EM maps of Human                Papillomavirus 16 reveal L2 location and heparin-induced              conformational changes   54  415/50   5KEP_A     major capsid protein L1 [Human papillomavirus type 33]   56  226/50   ACV84008.1     Chain A, Crystal Structure Of Hpv58 Pentamer In Complex                  With The Fab Fragment Of Antibody A12a3   55  219/50   5Y9C_A     major capsid protein L1 [Human papillomavirus type 52]   59  175/50   ABU55765.1     L1 capsid protein [Human papillomavirus type 31]    56  139/50   AAA92894.1     major capsid protein L1, partial [Human papillomavirus type                16]   6  123/50   ADB97224.1     L1 protein [Human papillomavirus type 18]   64  94/50   AAP20601.1     L1 [Human papillomavirus type 45]   57  69/50   AAY86494.1     L1 [Human papillomavirus type 6]   56  72/50   AAF00066.1  
  • 3. First revision January 17, 2019  Toxicity evaluation for the sequences identified    It was not possible to evaluate the molecular toxicity index, based on the peptides’ sequences identified.         Presence of free peptides    No free peptides have been detected.        3. Metabolic fraction analysis    It should be emphasized that this screening study provides a semi-quantitative data, which correspond to a range ​from nanograms to micrograms                                          as an indicative order of magnitude. To obtain accurate quantitative data, it will be necessary to proceed using certified analytical standards of                                            known strength.     Below, we report the identification screening results obtained in the two batches under examination:             Lotto #1 (R013092)                      Unknown compounds      Known compounds        In Batch #1 we identified 338 signals, of which only 22% known      NOTES FOR UNDERSTANDING​: ​this is a first level analysis, which means an identification based on molecular weight. If the result                                        is univocal, (i.e. at a measured molecular weight only one compound matches) it is more likely to be accurate, but absolute certainty                                            is not possible in this phase. As you will notice, as far as certain compounds are concerned, different substances can correspond to                                            the same molecular weight. Further targeted analysis, of the appropriate standard are thus necessary to confirm their identity.       3.1. Gardasil vaccine    338 signals ​were detected, among which only 22​% ​gave a potential classification (​Table 1​). It should be highlighted that the proportion of signals                                              is not exactly correlated to the proportion of compounds, since in mass-spectrometry a single compound can generate several mass/charge ratios                                        (m/z). 
  • 4. First revision January 17, 2019  It must be specified that compound identity is not certain and it should be confirmed by a second level screening carried out with certified                                                analytical standards.  In fact, during screening level, the device measures a particular data by its accurate molecular weight (measurement error <10 ppm). The empirical                                            formula is calculated on the basis of these measures. Some formulas might correspond to several compounds having the same molecular weight                                          but different chemical identity    NOTES FOR UNDERSTANDING: ​in essence, what has been ascertained is that we have several unknown signals, which could                                    not be identified through international databases.       Molecules potentially belonging to toxin category have been researched. They have been suggested on the basis of accurate m / z mode research                                              (error <10 ppm) using the toxic compounds database in the Metlin search engine. ​Table 2​ shows the candidates obtained.        4. Fina Consideration    From the analyst performed on the two lots there is a significant variability in the content of contaminant and impurities, of these, most were not  characterized using the metabolic and protein reference databases (KEGG, NCBI-Prot and SwissProt). ​8-9    There is a critical issue in the contamination of various compounds potentially or definitely harmful to human health.      In short, the first questions we asked ourselves, and the relative answers obtained, are the following:        1. Are the chemical substances in the data sheet present?  Partly     2. Are there any chemical contaminations?  Yes    3. How many contaminating compounds are there?  Over 70    4. What are they potentially?  Chemical toxins, chemical compounds    Next analysis        1. to identify with certainty the most interesting probable compounds    2. determine the exact amount of each contaminant        5. Future research developments    Confirmation and identity analyzes will be performed using the ​"Tandem Mass Spectrometry (MS / MS)" ​technique associated with the aid of  certified analytical standards. The analyzes will be performed in compliance with the European directives (EU directive 2002/657 / EC) useful for  the identification of compounds. ​29      6. Description of SANIST technology    The internationally renowned SANIST platform, through publications in pre-referenced scientific journals - was used to perform a first identification  screening on the interest vaccinee.      7. Details related to the analytical method 
  • 5. First revision January 17, 2019    SANIST technology consists of:  a. kit for the extraction of the analytes (the unknown substances to be determined);  b. the analysis system LC-SACI / ESI-MS 6 which reduce the chemical noise of mass spectrometers and obtain a better detection  instrumental signals;  c. the SANIST ​- data processing system consisting of a local and network bioinformatics platform capable of processing data through the 6 7 use of dedicated databases and customized algorithms. It is specified that, in the screening phase, the identification is carried out in the  scientific research context and through research in official banks (KEGG, NCBI-Prot and SwissProt) ​8-9 ​ without the use of certified 89 analytical standards. A second level analysis must be performed with certified analytical standards to confirm the identity.        8. Areas of application of SANIST technology    Until today the SANIST platform is applicable in the following fields:    a. In​ clinical research​ of disease markers and their direct application in the diagnostic field.  b. Food services​, food traceability. Comparative studies to determine the quality of products based on their complex molecular composition.  Control of food counterfeiting.  c. Nutraceutical sector​, development of the nutritional value of a food supplement based on its molecular composition. Forged search (for  example: addition drugs).  d. Pharmaceutical secto​r, drug control and research of active biomolecules.  e. Cosmetic industry​: the molecular composition of cosmetic products can be carefully monitored and correlated with the quality of the  product.        9. How to read the tables    This is a screening phase, the instrument measures an accurate molecular weight data (measurement error <10 ppm). On the basis of these  measures a brute formula is calculated. Some formulas can correspond to several compounds having the same molecular weight but different  chemical identity (see table 1)    Example of a single associated component:      ■ (-)-Jasmonic acid  C12H18O3  211.1313019      In this example, the instrument detected a signal with a molecular weight. By inserting the brute formula in the databases, it was possible to  associate a probable component.                      10. Complete contamination tables  6 ​Albini A. et al., Rapid Commun Mass Spectrum. 2015 Oct 15;29(19):1703-10. doi: 20.1002/rcm.7270. (​https://onlinelibrary.wiley.com/doi/full/10.1002/rcm.7270​)  7 ​Cristoni S. et al., J Mass Spectrom. 2017 Jan;52(1):16-21. doi:10.1002/jms.3895. (https://www.ncbi.nlm.nih.gov/pubmed/27776380) 8 ​Kanehisa M. et al., Nucleic Acids Res. 2017 Jan 4;45(D1):D353-D361. doi:10.1093/nar/gkw1092. (​https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210567/​)  9 ​Cristoni S. et al., Expert Rev Proteomics. 2004 Dec; 1(4):469-83. (​https://www.ncbi.nlm.nih.gov/pubmed/15966842 
  • 6. First revision January 17, 2019    Table1        Candidate compounds  Brute Formula  Ratio m/z   ■ (-)-Jasmonic acid  C12H18O3  211.1313019  ■ (10S)-Juvenile hormone III diol  C16H28O4  285.2043152  ■ 16alpha,17alpha-Dihydroxyprogesterone    acetophenide  C29H36O4  449.2609863  ■ 1-Palmitoyl-2-(5-keto-8-oxo-6-octenoyl)  -sn-glycero-3-phosphocholine  C32H58NO10P  648.3792725  ■ 2,5-Dichloro-4-oxohex-2-enedioate  C6H4Cl2O5  226.9511973  ■ 2,5-Dichloro-4-oxohex-2-enedioate  C6H4Cl2O5  226.9511795  ■ 2-Ethylhexyl phthalate  C16H22O4  279.158844  ■ 3-Chloro-4-(dichloromethyl)    -5-hydroxy-2(5H)-furanone  C5H3Cl3O3  216.9224243  ■ 4-Prenyldihydropinosylvin  C19H22O2  283.1706238  ■ 5-O-Methyl-myo-inositol  C7H14O6  195.0874863  ■ 6-Keto-prostaglandin F1alpha  C20H34O6  371.2367249  ■ 6-Mercaptopurine ribonucleoside triphosphate  C10H15N4O13P3S  524.9658813  ■ Acetylintermedine  C17H27NO6  342.1893311  ■ Acetylspiramycin  C45H76N2O15  443.2720133  ■ all-trans-Hexaprenyl diphosphate  C30H52O7P2  587.3295288  ■ Aphidicolin  C20H34O4  339.2527161  ■ Astemizole  C28H31FN4O  459.2644653  ■ Auriculine  C31H45NO8  560.3268331  ■ Avadharidine  C36H51N3O10  343.6897583  ■ Benzo[b]fluorene  C17H12  217.1044159  ■ Brunfelsamidine  C5H7N3  110.0712204  ■ Canthiumine  C33H36N4O4  553.2880859  ■ Chivosazole F  C41H57NO8  692.405426  ■ Chloral hydrate  C2H3Cl3O2  164.9265976  ■ Colubrinoside  C50H78O19  492.2683563  ■ Cucurbitacin B  C32H46O8  559.3309937  ■ Dauricine  C38H44N2O6  625.3318481  ■ Fasoracetam  C10H16N2O2  197.1282654  ■ Formothion  C6H12NO4PS2  257.9989014  ■ Fumitremorgin A  C32H41N3O7  290.6576843  ■ Fusaproliferin  C27H40O5  445.2876994  ■ Grayanotoxin I  C22H36O7  413.2475128  ■ GTP-gamma-S  C10H16N5O13P3S  539.9771729  ■ Hexachloro-1,3-butadiene  C4Cl6  258.8174744 
  • 7. First revision January 17, 2019  ■ Hydrocortisone cypionate  C29H42O6  487.2982686  ■ Istamycin C1  C19H37N5O6  432.2798767  ■ JSTX-3  C27H47N7O6  566.3640747  ■ Kolanone  C33H42O4  503.3056641  ■ Lasiocarpine  C21H33NO7  412.2279358  ■ Lasonolide A  C41H60O9  697.4401855  ■ Leurosine  C46H56N4O9  405.2019348  ■ L-Histidine  C6H9N3O2  156.0765839  ■ Lovastatin acid  C24H38O6  423.2746124  ■ Melagatran  C22H31N5O4  430.2484894  ■ Methyllycaconitine  C37H50N2O10  683.3430176  ■ Mibefradil  C29H38FN3O3  496.3033905  ■ Mycinamicin IV  C37H61NO11  696.4367879  ■ Netilmicin  C21H41N5O7  476.3059031  ■ Oleoylglycerone phosphate  C21H39O7P  435.2471924  ■ Onnamide A  C39H63N5O12  794.454895  ■ Ophiobolin A  C25H36O4  401.2615814  ■ Pentachlorophenol  C6HCl5O  264.8521729  ■ Perfluorooctylsulfonyl fluoride  C8F18O2S  502.9395752  ■ Platycodin A  C59H94O29  634.3006592  ■ Pleurostyline  C25H29N3O2  404.2324829  ■ Prednisolone tebutate  C27H38O6  459.2792511  ■ Probucol  C31H48O2S2  517.3231506  ■ Protoporphyrinogen IX  C34H40N4O4  569.3136597  ■ Repaglinide  C27H36N2O4  453.2725677  ■ Repaglinide  C27H36N2O4  453.2766724  ■ Resolvin D1  C22H32O5  377.2325999  ■ Rhodojaponin IV  C24H38O8  455.2614441  ■ RU-0211  C20H32F2O5  391.2341309  ■ Sulfluramid  C10H6F17NO2S  527.9948934  ■ Symlandine  C20H31NO6  382.2190247  ■ Taurocholate  C26H45NO7S  516.300827  ■ Tiadinil  C11H10ClN3OS  268.0276947  ■ Trichloroethanol  C2H3Cl3O  148.9350891  ■ Valinomycin  C54H90N6O18  556.3158875  ■ Valnemulin  C31H52N2O5S  565.3616435  ■ Violacene  C10H13BrCl4  352.8970642  ■ Westiellamide  C27H42N6O6  547.3314819  ■ Zineb  C4H6N2S4. Zn  274.8809814   
  • 8. First revision January 17, 2019    Table 2     Ratio m/z   Molecule*  157.0799179  C7H12N2S  173.0782318  C4H8N6O2  C6H11F3O2  178.0585175  C6H6F3N3  C4H3N9  195.1224823  C8H18O5  200.0403748  C5H13NO3S2  206.893631  C4H2Cl4O  208.8906708  C3H4Cl4Si  218.9194489  C4H10Se2  C6H4BrO2P  C5H5Cl3OS  272.1782837  C13H25N3OS  C15H26ClNO  278.1966248  C14H23N5O  C13H27NO5      * Brute formulas associated with candidate toxic compounds.