Cleaning validation, in which cleaned surfaces are analysed for residual material, is an important process in pharmaceutical manufacturing and research facilities. Current procedures usually consist of either swab or rinse-water sampling followed by analysis of the samples. The analysis step is typically either rapid but unselective (conductivity, pH, total organic carbon, etc.), or selective but time-consuming (HPLC). This thesis describes the development of an in situ surface-spectroscopic analysis that removes the need for swab sampling and is both rapid and selective. This method has the potential to complement existing analyses to increase the efficiency of cleaning-validation protocols. The spectrometric system consists of a Fourier-transform infrared (FTIR) spectrometer coupled to a fibre-optic grazing-angle reflectance probe, and allows the measurement of infrared reflection-absorbance spectra (IRRAS) from flat surfaces in ~10 s. Multivariate chemometric methods, such as partial least squares (PLS) regression, are used to exploit the high information content of infrared spectra to obtain selective analyses without physical separation of the analyte or analytes from whatever interfering species may be present. Multivariate chemometric models require considerably more effort for calibration and validation than do traditional univariate techniques. This thesis details suitable methods for preparing calibration standards by aerosol deposition, optimising and validating the model by cross- and test-set validation, and estimating the uncertainty by resampling and formula-based approaches. Successful calibration models were demonstrated for residues of acetaminophen, a model active pharmaceutical ingredient (API), on glass surfaces. The root-mean-square error of prediction (RMSEP) was ~0.07 µg cm⁻². Simultaneous calibration for acetaminophen and aspirin, another API, gave a similar RMSEP of 0.06 µg cm⁻² for both compounds, demonstrating the selectivity of the method. These values correspond to detection limits of ~0.2 µg cm⁻², well below the accepted visual detection limit of ~1-4 µg cm⁻². The sensitivity of the method with a stainless steel substrate was found to depend strongly on the surface finish, with highly polished surfaces giving more intense IRRAS. RMSEP values of 0.04- 0.05 µg cm⁻² were obtained for acetaminophen on stainless steel with three different finishes. For this system, severe nonlinearity was encountered for loadings 1.0 µg cm⁻². From the results presented in this thesis, it is clear that IRRAS has potential utility in cleaning validation as a complement to traditional techniques.

The theoretical part deals with the problems of cleaning validation as one of the basic principles of quality assurance, which should secure the production of safe, effective and quality medicines. Validation of cleaning processes is required by good manufacturing practice, particularly to prevent contamination of raw materials, intermediate products, products and other materials. This work deals with the legislative control of validation, its organization and formalities. It also deals with the issue cleanliness in manufacturing facilities and its evaluation. The experimental part was carried out in a pharmaceutical company Teva Czech Industries s.r.o in Opava. Analytical method for flutamide was developed and validated. The analytical method will be used to cleaning validation of the device in which it will be produced in the future. Validation of the analytical method included verification of validation characteristics such as accuracy, precision, specificity, linearity, detection and the limit of quantification and stability. Keywords: pharmaceutical manufacturing, validation, cleaning

Cleaning validation, in which cleaned surfaces are analysed for residual material, is an important process in pharmaceutical manufacturing and research facilities. Current procedures usually consist of either swab or rinse-water sampling followed by analysis of the samples. The analysis step is typically either rapid but unselective (conductivity, pH, total organic carbon, etc.), or selective but time-consuming (HPLC). This thesis describes the development of an in situ surface-spectroscopic analysis that removes the need for swab sampling and is both rapid and selective. This method has the potential to complement existing analyses to increase the efficiency of cleaning-validation protocols. The spectrometric system consists of a Fourier-transform infrared (FTIR) spectrometer coupled to a fibre-optic grazing-angle reflectance probe, and allows the measurement of infrared reflection-absorbance spectra (IRRAS) from flat surfaces in ~10 s. Multivariate chemometric methods, such as partial least squares (PLS) regression, are used to exploit the high information content of infrared spectra to obtain selective analyses without physical separation of the analyte or analytes from whatever interfering species may be present. Multivariate chemometric models require considerably more effort for calibration and validation than do traditional univariate techniques. This thesis details suitable methods for preparing calibration standards by aerosol deposition, optimising and validating the model by cross- and test-set validation, and estimating the uncertainty by resampling and formula-based approaches. Successful calibration models were demonstrated for residues of acetaminophen, a model active pharmaceutical ingredient (API), on glass surfaces. The root-mean-square error of prediction (RMSEP) was ~0.07 µg cm⁻². Simultaneous calibration for acetaminophen and aspirin, another API, gave a similar RMSEP of 0.06 µg cm⁻² for both compounds, demonstrating the selectivity of the method. These values correspond to detection limits of ~0.2 µg cm⁻², well below the accepted visual detection limit of ~1-4 µg cm⁻². The sensitivity of the method with a stainless steel substrate was found to depend strongly on the surface finish, with highly polished surfaces giving more intense IRRAS. RMSEP values of 0.04- 0.05 µg cm⁻² were obtained for acetaminophen on stainless steel with three different finishes. For this system, severe nonlinearity was encountered for loadings 1.0 µg cm⁻². From the results presented in this thesis, it is clear that IRRAS has potential utility in cleaning validation as a complement to traditional techniques.

Spectroscopy and other optical methods can often be employed with limited or no sample preparation, making them well suited for in situ and in vivo analysis. This dissertation focuses on the use of a near-infrared spectroscopy (NIRS) and polarized light scatter for two such applications: the assessment of cardiovascular disease, and the validation of cleaning processes for pharmaceutical equipment.There is a need for more effective in vivo techniques for assessing intravascular disorders, such as aortic aneurysms and vulnerable atherosclerotic plaques. These, and other cardiovascular disorders, are often associated with structural remodeling of vascular walls. NIRS has previously been demonstrated as an effective technique for the analysis of intact biological samples. In this research, traditional NIRS is used in the analysis of aortic tissue samples from a murine knockout model that develops abdominal aortic aneurysms (AAAs) following infusion of angiotensin II. Effective application of NIRS in vivo, however, requires a departure from traditional instrumental principles. Toward this end, the groundwork for a fiber optic-based catheter system employing a novel optical encoding technique, termed molecular factor computing (MFC), was developed for differentiating cholesterol, collagen and elastin through intervening red blood cell solutions. In MFC, the transmission spectra of chemical compounds are used to collect measurements directly correlated to the desired sample information.Pharmaceutical cleaning validation is another field that can greatly benefit from novel analytical methods. Conventionally cleaning validation is accomplished through surface residue sampling followed by analysis using a traditional analytical method. Drawbacks to this approach include cost, analysis time, and uncertainties associated with the sampling and extraction methods. This research explores the development of in situ cleaning validation methods to eliminate these issues. The use of light scatter and polarization was investigated for the detection and quantification of surface residues. Although effective, the ability to discriminate between residues was not established with these techniques. With that aim in mind, the differentiation of surface residues using NIRS and MFC was also investigated.

Cleaning validation of pharmaceutical manufacturing equipment is required by legislation. Generally, wet chemical techniques are employed using swabbing and/or rinse sampling methods. These are generally either selective and time consuming, or less selective and give results in a shorter period. The infrared reflection absorption spectroscopy (IRRAS) technique explored here attempts to deliver accurate, selective surface contamination information in real time to complement current methods and reduce down-time. The IRRAS instrument used in this research is a Fourier transform infrared (FTIR) spectrometer coupled by an IR fibre-optic cable to a grazing-angle sampling head with a fixed incidence angle of 80°. The introduced flexibility permits collection of in situ spectra from contaminated surfaces. Calibration models are developed using the multivariate, linear partial least squares (PLS) statistical method. The research focuses on sodium dodecyl sulfate (SDS), a model cleaning agent, on metal (aluminium and stainless steel) and dielectric (glass, EPDM and silicone) surfaces. The effects of surface finish are investigated for SDS on stainless steel. Calibrations for SDS and paracetamol in the presence of each other on glass surfaces are examined, as well as a common industrial cleaner (P3 cosa® PUR80) on polished stainless steel. For the calibration sets in this thesis, RMSECV values were < 0.41 µg cm⁻², corresponding to conservative surface residues detection limits of better than ~0.86 µg cm⁻². However, RMSECV values depend on the calibration loading range, and the detection limits were typically ~0.2 µg cm⁻² for loading ranges 0-2.5 µg cm⁻². These are below visual detection limits, generally taken to be 1-4 µg cm⁻², depending on the analyte and substrate. This shows that IRRAS is a viable method for the real-time detection and quantification of surface contamination by surfactants and active pharmaceutical ingredients on metals and dielectrics.

Cleaning validation of pharmaceutical manufacturing equipment is required by legislation. Generally, wet chemical techniques are employed using swabbing and/or rinse sampling methods. These are generally either selective and time consuming, or less selective and give results in a shorter period. The infrared reflection absorption spectroscopy (IRRAS) technique explored here attempts to deliver accurate, selective surface contamination information in real time to complement current methods and reduce down-time. The IRRAS instrument used in this research is a Fourier transform infrared (FTIR) spectrometer coupled by an IR fibre-optic cable to a grazing-angle sampling head with a fixed incidence angle of 80°. The introduced flexibility permits collection of in situ spectra from contaminated surfaces. Calibration models are developed using the multivariate, linear partial least squares (PLS) statistical method. The research focuses on sodium dodecyl sulfate (SDS), a model cleaning agent, on metal (aluminium and stainless steel) and dielectric (glass, EPDM and silicone) surfaces. The effects of surface finish are investigated for SDS on stainless steel. Calibrations for SDS and paracetamol in the presence of each other on glass surfaces are examined, as well as a common industrial cleaner (P3 cosa® PUR80) on polished stainless steel. For the calibration sets in this thesis, RMSECV values were < 0.41 µg cm⁻², corresponding to conservative surface residues detection limits of better than ~0.86 µg cm⁻². However, RMSECV values depend on the calibration loading range, and the detection limits were typically ~0.2 µg cm⁻² for loading ranges 0-2.5 µg cm⁻². These are below visual detection limits, generally taken to be 1-4 µg cm⁻², depending on the analyte and substrate. This shows that IRRAS is a viable method for the real-time detection and quantification of surface contamination by surfactants and active pharmaceutical ingredients on metals and dielectrics.

Os radiofármacos são definidos como preparações farmacêuticas contendo um radionuclídeo em sua composição, são administrados intravenosamente em sua maioria, e, portanto, o cumprimento dos princípios de Boas Práticas de Fabricação (BPF) é essencial e indispensável à tais produtos. A validação de limpeza é um requisito das BPF e consiste na evidência documentada que demonstra que os procedimentos de limpeza removem os resíduos a níveis pré-determinados de aceitação, garantindo que não haja contaminação cruzada. Uma simplificação da validação dos processos de limpeza é admitida, e consiste na escolha de um produto, denominado de \"pior caso\" ou worst case, para representar a limpeza de todos os equipamentos da mesma linha de produção. Uma das etapas da validação de limpeza é o estabelecimento e validação do método analítico para quantificação do resíduo. O objetivo deste estudo foi estabelecer o pior caso para a validação de limpeza dos equipamentos de produção de reagentes liofilizados-RL para marcação com 99mTc, avaliar a utilização do teor de carbono orgânico total (COT) como indicador de limpeza dos equipamentos utilizados na fabricação dos RL, validar o método para determinação de CONP (carbono orgânico não purgável/volátil) e realizar testes de recuperação com o produto escolhido como pior caso. A escolha do produto pior caso baseou-se no cálculo de um índice denominado \"índice para pior caso - Worst Case Index (WCI)\", utilizando informações de solubilidade dos fármacos, dificuldade de limpeza dos equipamentos e taxa de ocupação dos produtos na linha de produção. O produto indicado como pior caso entre os RL foi o MIBI-TEC. Os ensaios de validação do método foram realizados utilizando-se um analisador de carbono modelo TOC-Vwp acoplado a um amostrador automático modelo ASI-V, ambos da marca Shimadzu&reg e controlados por software TOC Control-V Shimadzu&reg. Foi utilizado o método direto de quantificação do CONP. Os parâmetros avaliados na validação do método foram: conformidade do sistema, robustez, linearidade, limites de detecção (LD) e de quantificação (LQ), precisão (repetibilidade e precisão intermediária), e exatidão (recuperação) e foram definidos como: 4% acidificante, 2,5 mL de oxidante, tempo de integração da curva de 4,5 minutos, tempo de sparge de 3,0 minutos e linearidade na faixa de 40-1000 &mu;gL-1, com coeficiente de correlação (r) e soma residual dos mínimos quadrados (r2) &gt; 0,99 respectivamente. LD e LQ para CONP foram 14,25 ppb e 47,52 ppb, respectivamente, repetibilidade entre 0,11 4,47%; a precisão intermediária entre 0,59 a 3,80% e exatidão entre 97,05 - 102,90%. A curva analítica para Mibi mostrou-se linear na faixa de 100-800 &mu;gL-1, com r e r2 &gt; 0,99, apresentando parâmetros similares aos das curvas analíticas de CONP. Os resultados obtidos neste estudo demonstraram que a abordagem do pior caso para validação de limpeza é um meio simples e eficaz para diminuir a complexidade e morosidade do processo de validação, além de proporcionar uma redução nos custos envolvidos nestas atividades. Todos os resultados obtidos nos ensaios de validação de método CONP atenderam as exigências e especificações preconizadas pela norma RE 899/2003 da ANVISA para considerar a metodologia validada. / Radiopharmaceuticals are defined as pharmaceutical preparations containing a radionuclide in their composition, mostly intravenously administered, and therefore compliance with the principles of Good Manufacturing Practices (GMP) is essential and indispensable. Cleaning validation is a requirement of the current GMP, and consists of documented evidence, which demonstrates that the cleaning procedures are able to remove residues to pre-determined acceptance levels, ensuring that no cross contamination occurs. A simplification of cleaning processes validation is accepted, and consists in choosing a product, called \"worst case\", to represent the cleaning processes of all equipment of the same production area. One of the steps of cleaning validation is the establishment and validation of the analytical method to quantify the residue. The aim of this study was to establish the worst case for cleaning validation of equipment in the radiopharmaceutical production of lyophilized reagent (LR) for labeling with 99mTc, evaluate the use of Total Organic Carbon (TOC) content as indicator of equipment cleaning used in the LR manufacture, validate the method of Non-Purgeable Organic Carbon (NPOC), and perform recovery tests with the product chosen as worst case.Worst case products choice was based on the calculation of an index called \"Worst Case Index\" (WCI), using information about drug solubility, difficulty of cleaning the equipment and occupancy rate of the products in line production. The products indicated as worst case was the LR MIBI-TEC. The method validation assays were performed using carbon analyser model TOC-Vwp coupled to an autosampler model ASI-V, both from Shimadzu&reg, controlled by TOC Control-V software. It was used the direct method for NPOC quantification. The parameters evaluated in the validation method were: system suitability, robustness, linearity, detection limit (DL) and quantification limit (QL), precision (repeatability and intermediate precision), and accuracy (recovery) and they were defined as follows: 4% acidifying reagent, 2.5 ml oxidizing reagent, 4.5 minutes integration curve time, 3 minutes sparge time and linearity in 40-1000 &mu;gL-1 range, with correlation coefficient (r) and residual sum of minimum squares (r2) greater than 0.99 respectively. DL and QL for NPOC were 14.25 ppb e 47.52 ppb respectively, repeatability between 0.11 and 4.47%; the intermediate precision between 0.59 and 3.80% and accuracy between 97.05 and 102.90%. The analytical curve for Mibi was linear in 100-800 &mu;gL-1 range with r and r2 greater than 0.99, presenting similar parameters to NPOC analytical curves. The results obtained in this study demonstrated that the worst-case approach to cleaning validation is a simple and effective way to reduce the complexity and slowness of the validation process, and provide a costs reduction involved in these activities. All results obtained in NPOC method validation assays met the requirements and specifications recommended by the RE 899/2003 Resolution from ANVISA to consider the method validated.

A validação de limpeza de equipamentos é requisito regulatório para assegurar que os procedimentos de limpeza removem os resíduos de produto e agente de limpeza existentes até um nível de aceitação pré-determinado, garantindo que não haja contaminação cruzada. A metodologia analítica escolhida para monitorar a ocorrência de contaminação cruzada foi a determinação de carbono orgânico total (TOC) por ser uma técnica não específica permitindo assim quantificar os resíduos antes e após o procedimento de limpeza. Para execução desta validação foi selecionado o pior caso em relação ao contaminante. A vacina Hib foi escolhida como pior caso, pois possui maior aderência ao aço inox 316L, apresentando uma menor percentagem de recuperação, quando comparada à vacina Meningite A e C, sendo respectivamente de 93,0% e 98,4% para o tempo de extração de 30 segundos e 67,8% e 72,6% para o tempo de extração de 10 segundos. O resíduo aceitável de produto em água de rinsagem foi de 0,0007 g/mL de polissacarídeo (0,49 g/mL de TOC) e em swab foi de 0,006 g/mL de polissacarídeo (3,49 g/mL de TOC). As amostras retiradas para determinação de resíduo de produto foram analisadas e corrigidas pelo fator de recuperação deste resíduo para amostras de água de rinsagem que é de 98,5% e para amostras em swab que é de 98,4%. Já o resíduo aceitável para agente de limpeza (NaOH) foi de 3,5 g/mL que fornece um pH de 9,94, porém não existem evidências que a concentração calculada de resíduo de NaOH não interferirá quimicamente ao entrar em contato com a vacina. Assim o critério adotado foi o mesmo da água para injetáveis, segundo USP que é pH entre 5 e 7. As amostras retiradas para determinação de resíduo de agente de limpeza não foram corrigidas pelo fator de recuperação uma vez que o critério utilizado é muito mais crítico que o calculado. Todas as análises realizadas apresentaram resultados dentro dos parâmetros aceitáveis permitindo a conclusão de que o procedimento de limpeza para tanque de aço inox 316L é eficiente removendo os resíduos até níveis aceitáveis, evitando assim uma contaminação cruzada / The cleaning validation of equipments is a regulatory requirement to ensure that the procedure to remove residues of the product and the cleaning agent to a level of acceptance, ensuring no cross contamination. The analytical methodology chose to monitor the occurrence of cross-contamination was the determination of total organic carbon (TOC) as it is a non-specific technique allowing to quantify the residues before and after the cleaning procedure. For the execution of the validation it was selected the worst case regarding contaminant. The Hib vaccine was chosen as the worst case because it has greater adherence to stainless steel 316L, with a lower percentage of recovery when compared to vaccine meningitis A and C, being respectively 93.0% and 98.4% for the extraction time of 30 seconds and 67.8% and 72.6% for the extraction time of 10 seconds. The considered acceptable product residue in the rinsing water was 0.0007 mg/mL of polysaccharide (0.48 mg/mL of TOC) and in swab it was 0.006 mg/mL of polysaccharide (3.49 mg/mL of TOC). Samples took for determination of residual product has been analyzed and corrected by the recovery factor for this waste water samples by rinsing which is 98.5% and for samples in swab that is 98.4%. The acceptable residue for the cleaning agent (NaOH) was 3.512 mg/mL which provides a pH of 9.94, but there is no evidence that the concentration of residual NaOH does not chemically interfere in contact with the vaccine. Thus, the criterion used was the same as for water for injection, according to USP, that is between pH 5 and 7. Samples took for the determination of residual cleaning agent were not corrected by the recovery factor because the criterion used is much more critical than that calculated. All the analysis results were within the acceptable parameters allowing to conclude that the cleaning procedure for 316L stainless steel tank was effective, removing the waste to acceptable levels, thus, preventing from cross-contamination

Made available in DSpace on 2015-08-19T13:52:54Z (GMT). No. of bitstreams: 2 14.pdf: 5060838 bytes, checksum: 4a21bcf622237b8e6dbec3ff3d6c6b30 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2013 / Fundação Oswaldo Cruz. Instituto de Tecnologia em Fármacos/Farmanguinhos. Rio de Janeiro, RJ, Brasil. / O presente trabalho teve por objetivo desenvolver e validar uma nova metodologia analítica para determinação de resíduos de Efavirenz por método de swab. Essa metodologia foi desenvolvida com base na técnica utilizada atualmente em Farmanguinhos (FIOCRUZRJ),que contempla os resultados solicitados pela Agência Nacional de Vigilância Sanitária(ANVISA) mas, não possui um desempenho considerado ideal.Os estudos foram baseados principalmente na comparação do poder extrativo de dois modelos de swab selecionados, o Coventry modelo 36060, e o Texwipe®, Alpha® Swab,modelo TX761. Cada um desses modelos foi testado com os seguintes solventes ou soluções extratoras: Acetonitrila, Acetonitrila / Água purificada (1:1), Metanol / Água purificada (1:1),Etanol, Etanol / Água purificada (1:1) e Isopropanol. Também foi objeto de estudo, o tempo de ultrassom utilizado para extrair o resíduo de Efavirenz dos swabs.Os resultados apontaram para o uso do modelo de swab Texwipe®, Alpha® Swab,modelo TX761, como sendo o de melhor desempenho para o presente resíduo. Quanto ao solvente extrator, o indicado foi o etanol, devido ao seu bom desempenho com relação à solubilização do Efavirenz e seu baixo caráter tóxico. O tempo de ultrassom selecionado foide 15 minutos.Todo o desenvolvimento elaborado no presente estudo também possibilitou uma abordagem que poderá ser utilizada em futuros desenvolvimentos de metodologias analíticas para determinação de resíduos de substâncias com conhecida dificuldade de solubilização. / This study aimed to develop and validate a new analytical methodology for the determination of residues of Efavirenz by swab method. This methodology was developed based on the technique currently used in Farmanguinhos (FIOCRUZ-RJ), which includes the results requested by the National Health Surveillance Agency (ANVISA) but does not have a performance considered ideal. The studies were based mainly on the comparison of the two models extractive swab selected, the Coventry ™ Model 36060, and Texwipe ® Alpha ® Swab, Model TX761. Each of these was tested with the following solvents or extraction solutions: acetonitrile, acetonitrile / purified water (1:1), methanol / purified water (1:1), ethanol, ethanol / purified water (1:1) and isopropanol. It was also the object of study, the duration of ultrasound used to extract the residue of Efavirenz swabs. The results point to the use of the model swab Texwipe ® Alpha ® Swab, Model TX761, as the best performance for this residue. As to the solvent extractor, the ethanol was indicated due to its good performance with respect to its solubilization of Efavirenz and low toxic character. The time ultrasound selected was 15 minutes. All development elaborated in this study also enabled an approach that could be used in future developments of analytical methods for determination of residues of substances with known difficulty of solubilization.

A validação de limpeza de equipamentos é requisito regulatório para assegurar que os procedimentos de limpeza removem os resíduos de produto e agente de limpeza existentes até um nível de aceitação pré-determinado, garantindo que não haja contaminação cruzada. A metodologia analítica escolhida para monitorar a ocorrência de contaminação cruzada foi a determinação de carbono orgânico total (TOC) por ser uma técnica não específica permitindo assim quantificar os resíduos antes e após o procedimento de limpeza. Para execução desta validação foi selecionado o pior caso em relação ao contaminante. A vacina Hib foi escolhida como pior caso, pois possui maior aderência ao aço inox 316L, apresentando uma menor percentagem de recuperação, quando comparada à vacina Meningite A e C, sendo respectivamente de 93,0% e 98,4% para o tempo de extração de 30 segundos e 67,8% e 72,6% para o tempo de extração de 10 segundos. O resíduo aceitável de produto em água de rinsagem foi de 0,0007 g/mL de polissacarídeo (0,49 g/mL de TOC) e em swab foi de 0,006 g/mL de polissacarídeo (3,49 g/mL de TOC). As amostras retiradas para determinação de resíduo de produto foram analisadas e corrigidas pelo fator de recuperação deste resíduo para amostras de água de rinsagem que é de 98,5% e para amostras em swab que é de 98,4%. Já o resíduo aceitável para agente de limpeza (NaOH) foi de 3,5 g/mL que fornece um pH de 9,94, porém não existem evidências que a concentração calculada de resíduo de NaOH não interferirá quimicamente ao entrar em contato com a vacina. Assim o critério adotado foi o mesmo da água para injetáveis, segundo USP que é pH entre 5 e 7. As amostras retiradas para determinação de resíduo de agente de limpeza não foram corrigidas pelo fator de recuperação uma vez que o critério utilizado é muito mais crítico que o calculado. Todas as análises realizadas apresentaram resultados dentro dos parâmetros aceitáveis permitindo a conclusão de que o procedimento de limpeza para tanque de aço inox 316L é eficiente removendo os resíduos até níveis aceitáveis, evitando assim uma contaminação cruzada / The cleaning validation of equipments is a regulatory requirement to ensure that the procedure to remove residues of the product and the cleaning agent to a level of acceptance, ensuring no cross contamination. The analytical methodology chose to monitor the occurrence of cross-contamination was the determination of total organic carbon (TOC) as it is a non-specific technique allowing to quantify the residues before and after the cleaning procedure. For the execution of the validation it was selected the worst case regarding contaminant. The Hib vaccine was chosen as the worst case because it has greater adherence to stainless steel 316L, with a lower percentage of recovery when compared to vaccine meningitis A and C, being respectively 93.0% and 98.4% for the extraction time of 30 seconds and 67.8% and 72.6% for the extraction time of 10 seconds. The considered acceptable product residue in the rinsing water was 0.0007 mg/mL of polysaccharide (0.48 mg/mL of TOC) and in swab it was 0.006 mg/mL of polysaccharide (3.49 mg/mL of TOC). Samples took for determination of residual product has been analyzed and corrected by the recovery factor for this waste water samples by rinsing which is 98.5% and for samples in swab that is 98.4%. The acceptable residue for the cleaning agent (NaOH) was 3.512 mg/mL which provides a pH of 9.94, but there is no evidence that the concentration of residual NaOH does not chemically interfere in contact with the vaccine. Thus, the criterion used was the same as for water for injection, according to USP, that is between pH 5 and 7. Samples took for the determination of residual cleaning agent were not corrected by the recovery factor because the criterion used is much more critical than that calculated. All the analysis results were within the acceptable parameters allowing to conclude that the cleaning procedure for 316L stainless steel tank was effective, removing the waste to acceptable levels, thus, preventing from cross-contamination