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[国内外GMP法规及其指南] 清洁验证应按品种还是设备做?

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药师
发表于 2016-4-8 14:22:55 | 显示全部楼层 |阅读模式
本帖最后由 roadman 于 2016-4-8 14:30 编辑

国内做药品注册时,清洁验证大多是按品种做的吧?

清洁验证按品种做根本就是策略性错误。因为清洁验证的对象是设备清洁方法(如果一个设备有多个不同的清洁方法,就应有多个清洁验证),所以应按设备清洁方法来做。原则是:根据多标准分析法选择设备清洁SOP所适用品种中最难清洁(DTC)的产品做为参照物,清洁后取样检测,看是否均小于按毒性、0.1%剂量、10ppm等标准建立的限度。

我们现在的清洁验证国际注册品种是按品种做的,国内的按设备做。国外检查员检查时,注意的是其它品种的残留对检查品种的影响(要看其它品种的清洁验证文件),而并不在意检查品种的残留。


补充内容 (2016-4-8 16:05):
按品种做清洁验证错误原因:1.只考虑验证品种对其它品种的影响,未考虑其它品种对验证品种的影响。2.需要做每个品种,浪费资源。

补充内容 (2017-7-29 19:33):
新产品清洗验证如何设计?

补充内容 (2017-7-29 20:01):
清洁验证新产品引入的验证问题
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药师
 楼主| 发表于 2016-4-8 15:18:14 | 显示全部楼层
本帖最后由 roadman 于 2016-4-8 15:50 编辑
冷血无情 发表于 2016-4-8 14:33
一个设备由不同的清洁方法,究其原因是什么呢?那么我针对产品进行验证又有什么策略上的错误呢?


不同品种API溶解性不同,需要用不同的溶剂、方法清洗。

按品种进行验证是浪费资源,真做也无不可,就怕做假的。

另外,如果按品种进行清洁验证,则每做一个新产品,你以前做的其它品种清洁验证都要回顾一遍,考察在将新产品纳入计算后,可接受限度是否降低?检测结果是否仍符合要求?如果回答是否,其它品种清洁验证还需要重做。这个回顾评估报告国内做药品注册时有做过吗?!

选择按品种做,科学上并无不可。但国内企业省略了从科学上来说应做的一些工作,这些工作正好是国内GMP检查员和注册资料审核人员的盲点。
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药师
 楼主| 发表于 2016-4-14 16:52:10 | 显示全部楼层
本帖最后由 roadman 于 2016-4-14 17:09 编辑

GMP2010版第一百四十三条 清洁方法应当经过验证,证实其清洁的效果,以有效防止污 染和交叉污染。清洁验证应当综合考虑设备使用情况、所使用的清洁剂和消毒剂、取样方法和位置以及相应的取样回收率、残留物的性质和限度、残留物检验方法的灵敏 度等因素。

在北京市局的《药品生产质量管理规范(2010 年修订)检查指南》第72页有:
  2.清洁操作规程的验证应当反映设备实际使用情况。如果多个原料药或中间产品共用同一设备生产,且采用同一操作规程进行清洁的,则可选择有代表性中间产品或原料药作为清洁验证的参照物。应当根据溶解度、难以清洁的程度以及残留物的限度来选择清洁参照物,而残留的限度则需根据活性、毒性和稳定性确定。
  3.清洁验证方案应当详细描述需清洁的对象、清洁操作规程、选用的清洁剂、可接受限度、需监控的参数以及检验方法。……

在河北省局的《药品生产质量管理规范(2010 年修订)检查指南》第70页有:
  1. 典型缺陷:某企业在同一条生产线上共三种原料药,选择了其中一种原料药为代表执行清洁验证,但该原料药生产后的清洗工艺与另外两种不同
  缺陷分析:同一条生产线生产不同品种的原料药,企业可以选择有代表性的产品执行清洗验证,但前提是这些品种的清洗工艺需要是相同的。对于不同清洗工艺的原料药品种,只能分别执行相应的清洁验证。
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药徒
发表于 2016-4-15 09:58:52 | 显示全部楼层
着实没想到roadman大侠会抛出这个问题, 也着实没想到原来对这种验证最源头的东西还存在这么多理解上的差异!

我一直就是认为清洁验证是对清洁工艺的验证, 跟产品工艺验证, 灭菌工艺验证一样, 都是一种"工艺"的验证
但是其表现形式, 必须要通过设备和品种来体现, 还是这一次验证的范围是怎么定义的

清洁工艺验证不像产品工艺验证, 一长串全加在一起, 是一个"产品工艺", 清洁工艺, 大多是每台设备每台设备的去定义, 设备与设备之间, 关联性不强, 主要指单型设备哈, 压片机包衣机这种, 连动线的就另外论了.
因而, 可以是只针对其中一台设备做清洁验证,这台设备做10个品种, 1-5用到了A清洁工艺, 6-10用到了B清洁工艺, 就需要针对A工艺, 从1-5中选择最难清洁的作为代表品种执行验证, 再从6-10中选择最难清洁的作为代表品种再执行验证, 那这个清洁验证方案的内容, 就包括了该设备的两个清洁工艺的验证. 当然, 也可以把这台设备的两种清洁工艺验证分成两个方案. 没有对与错, 只有是否最适合.

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药师
 楼主| 发表于 2017-12-8 14:33:51 | 显示全部楼层

CLEANING VALIDATION ACCEPTANCE LIMITS

本帖最后由 roadman 于 2017-12-8 14:36 编辑

1984 - Samuel Harder Article: ‘Validation of Cleaning procedures’
Concerning the setting of acceptable limits Harder wrote that “Must be practical and achievable by reasonable cleaning procedure… …must be verifiable by analytical methodology existing in the company…. … must be safe and acceptable”
1989 – Doug mendenhall Article: “Cleaning validation”
Mendenhall expanded upon the ideas presented by Harder adding ideas, Such as using matrix approach, testing for cleaning agents, placebo batches, and most interestingly pointed out the potential use of visual inspection.And also mendenhall proposed that limits for surface residue levels be calculated based on smallest batch size / Maximum dose combination.
Surprisingly these two industry articles laid the foundation from which most cleaning validation acceptance criteria were derived and are origin of many cleaning validation activities.Shortly after these publications a major event began to unfold that shaped the direction of cleaning validation and industry practices.
1989-1992 – The US-FDA Vs Barr Laboratories and the Wolin decision
From 1989 to 1992 US-FDA inspected several Barr Laboratories facilities and issued multiple FDA form 483’s with increasing number of observations. The FDA finally sued a Barr Laboratories with district judge Alfred M. Wolin presiding over trail court. The trial ended in Feb 1993 with the decision by judge Wolin injunction against Barr Laboratories.The action on Barr Laboratories case was closely followed by Pharmaceutical Industry and PMA (Pharmaceutical Manufacturer Association) conducted a survey asking many questions on what they were doing in regarding cleaning validation and how companies were setting acceptance limits. In the survey results, PMA listed 44 unique acceptance criteria from the responses which were inconsistent from company to company and in many cases arbitrarily (randomly) selected.Concurrent with Barr Laboratories trial and PMA survey, Foundation or acceptance Limits were further expanded by another publication known in the industry The Fourmen and Mullen Article.
1993 – Fourman and Mullen Article:
At the time of Barr Laboratories trial, another company Ely Lilly, was also involved in a number of issues with FDA over cleaning validation specifically on setting of acceptable limits. In 1993 Gary Fourman and Dr. Mike Mullen published an article where they suggested carryover of product residue meet the following criteria.
1.  Not more than 0.001 dose of any product will appear in the maximum daily dose of another product.
2.  Not more than 10 ppm of a product will appear in another product.
3.  No quantity of residue will be visible on the equipment after cleaning procedure are performed.
The author even though provided explanation for 0.001 & 10 ppm that is not scientific and no regulatory reference provided.
However at that time, this article was land mark in the world of cleaning validation as it was first publication to lay out specific criteria for determining cleaning validation acceptance limits.
After effects of Barr Laboratories Decision:
During course of trial Judge Wolin observed that GMP regulations were vague and not very detailed- Certainly not detailed enough to expect companies to easily understand what the FDA interpretation and expectations were. Judge Wolin criticized the GMPs for their lack of detail and clarity.
The FDA inspectors in the Mid-Atlantic region put together a guide clarifying that what their expectation for cleaning validation. This guide is very detailed and specific. One year later the guide developed by Mid-Atlantic region inspectors was adopted by national centre for use by all FDA inspectors.
The guide states that
1.The firm rationale for the residue limits established should be logical based on the manufacturer knowledge of the material involved and be practical, achievable and verifiable.
2.It is important to define the sensitivity of analytical methods in order to set reasonable limits.
3.Clearly stated companies will put thought and analysis in to the selection of their cleaning validation acceptance limits. Simple adoption of the three Fourman and Mullin criteria is not satisfactory without a scientific justification for using these limits.
In this guide there is short section with concerns about detergents used in the cleaning process.
“If a detergent or soap is used for cleaning, determine and consider the difficulty that may arise when attempting to test for residues. A common problem associated with detergent use is its composition. Many detergent suppliers will not provide specific composition, which make it difficult to user to evaluate residues, As with product residues, it is important and it is expected that the manufacturer evaluate the efficiency of cleaning process for the removal of residues”.
Moreover FDA make it clear that they expected companies to test for detergent residues not just API residues.
Current Cleaning Validation Approach:
After Barr Laboratory decision, the concept of cleaning validation was changed year to year in a very drastic way and the number of regulatory agencies guided pharma industries on cleaning validation with detailed guidelines.
Current Cleaning Validation Approach: Acceptance Criteria.
After Barr Laboratory decision, the concept of cleaning validation was changed year to year in a very drastic way and the number of regulatory agencies guided pharma industries on cleaning validation with detailed guidelines.
The subject of cleaning validation has continued to receive a large amount of attention from regulators, companies and customers alike. The integration of cleaning validation with in an effective quality system supported by Quality risk management process enlightens the significance of cleaning validation.
Companies must demonstrate during cleaning validation that cleaning procedure routinely employed for a piece of equipment limits potential carryover to an acceptable level. That limit established must be calculated based on sound scientific rational.
Cleaning validation should give assurance that the manufacturing operations are performed in such a way that risk to patients related to cleaning validation are understood, assessed for impact are mitigated as necessary.
The acceptance criteria for equipment cleaning should be based on visually clean in dry condition and an analytical Limit.
Methods for calculating Acceptance criteria:
Based on Health based Data
MACO should be based on health based data when this data is available.
MACO = (PDE/ADE previous X MBS Next) / TDD Next
MACO – Maximum Allowable carryover (mg)
ADE – Acceptable Daily exposure of previous product (mg/day)
PDE - Permitted daily exposure of previous product (mg/day)
MBS – Minimum batch size of next product.
TDD – Therapeutic Daily dose for the next product (mg/day)
ADE = (NOAEL X BW) / (F1 X F2 X F3 X F4 X F5)
NOAEL – No observed adverse effect level
BW – Weight of Average adult (ex. 70 Kg)
F1 – A factor (Value between 2 and 12) to account extrapolation between species.
        F1=5 for extrapolation from rats to humans
        F1=12 for extrapolation from rats to humans
        F1=2 for extrapolation from rats to humans
        F1=2.5 for extrapolation from rabbits to humans
        F1=3 for extrapolation from monkeys to humans
        F1=10 for extrapolation from other animals to humans
F2 – A factor of 10 to account for variability between species
F3 – A factor of 10 to account for repeat dose toxicity studies of short term exposure
        F3 = 1 for studies that last at least one half lifetime
        (1 year for rodent/rabbits, 7 years for cats, dog and monkeys)
        F3 = 1 for reproductive studies in which the whole period of organogenesis is covered.
        F3 = 2 for a 6 month study in rodents or 3-5 study in non-rodents
        F3 = 5 for 3 month study in rodents or a 2 year study in non-rodents
        F3 = 10 for studies shorter duration
F4 – A factor (1-10) that may be applied in case of sever toxicity
        F4 = 1 for fetal toxicity associated with maternal toxicity
        F4 = 5 for fetal toxicity without maternal toxicity
        F4 = 5 for a teratogenic effect with maternal toxicity
        F4 = 10 for a teratogenic effect without maternal toxicity
F5 – A variable factor that may be applied if no –effect level was established, when LOEL is available.
        A factor 10 could be used based on severity and toxicity.
PDE = (NOAEL X BW) / (UFc X MFX PK)
UFc –Composite Uncertainty Factor: combination of factors which reflects the interindividual variability, interspecies differences, sub-chronic-to-chronic extrapolation, LOEL-to-NOEL extrapolation, database completeness.
MF –Modifying Factor: a factor to address uncertainties not covered by the other factors
PK –Pharmacokinetic adjustment
Based on Therapeutic daily dose
When limited toxicity data is available and the TDD is known MACO should be calculated by following formulae. It is used for final product change over API process A to API process B.
MACO = (TDD previous X MBS Next) / (SF X TDD Next)
SF – Safety Factor (Generally 1000 used for calculations)
Based on LD50
In case where no other data available and only LD50 data is available. Use following formulae.
NOEL = (LD50 x BW) /2000
MACO = (NOEL previous X MBS Next) / (SF Next X TDD Next)
LD50 – Lethal dose 50 mg/kg animal. The identification of the animal (mouse, rat…etc.) and the way of entry is important.
(LD50 is the amount of toxic agent that is sufficient to kill 50% of a population of animals usually with in certain time.)
BW – Weight of average adult (ex.70 Kg)
SF Next – Safety Factor (For Topical 10-100, for oral products 100 – 1000, for parental 1000 - 10000)

General Limit as Acceptance criteria:
If MACO values are unacceptably high or irrelevant carry over figures or toxicological data for intermediates is not known the approach of general limit may be suitable.
MACO PPM = MAXCONC X MBS Next
MAXCONC = Maximum allowed concentration (kg / kg or ppm) of previous substance in the next batch
A general upper limit for maximum concentration of contaminating substance in a subsequent batch is often set to 5 – 500 ppm (100 ppm in APIs is very frequent) of the previous product in to next product depending on the nature of the products produced from the individual company.
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药师
 楼主| 发表于 2017-12-8 15:22:17 | 显示全部楼层

CLEANING VALIDATION – BRACKETING – WORST CASE RATING

本帖最后由 roadman 于 2017-12-8 16:14 编辑

BRACKETING APPROACH

  • The cleaning process of multi product use equipment are subjected to requirements of cleaning validation. The validation effort could be huge. In order to minimize the amount of validation required, a worst case approach of for the validation can be used.
  • Cleaning procedures for products or process which are very similar do not need to be individually validated. A single validation study under consideration of worst case can then be carried out which takes account of relevant criteria used for worst case selection.
  • The bracketing approach may be considered acceptable for similar products and/or equipment’s provided appropriate justification based on sound and scientific rationale is given.
  • Company should demonstrate the objective of bracketing and its scientific rationale for its worst case rating of the substances in the cleaning validation programme.
Approach:

  • By means of bracketing procedure the substances/ products/ equipment’s are grouped and then sub grouped as applicable.
  • A worst case rating procedure is used to select the worst case in each group/sub group as applicable.
  • Validation of worst case situation takes place. However it is of utmost important that a documented scientific rational for chosen worst case exist.
Grouping by Equipment Train:
For example if a multipurpose site has manufacturing number of organic substances by using number of equipment trains as given below.
Train A – 9 Substances can be produced which have same cleaning procedure
Train B – 9 Substances can be produced which have same cleaning procedure
Train C – 8 Substances can be produced with two different cleaning procedures. Out of 8 substances 4 substances have cleaning procedure-A, and other 4 have different cleaning procedure-B
Train D – 8 Substances can be produced which have same cleaning procedure
Train E – 10 Substances can be produced which have same cleaning procedure.
Train F –11 Substances can be produced Out of 11 substances 6 substances have cleaning procedure-C, and other 5 have different cleaning procedure-D.
With no bracketing and worst case rating cleaning validation studies required for each of 55 substances.
The substances to be grouped first based on equipment train. Hence 6 groups will be formed as per above data. Then the groups to be sub grouped based on cleaning procedure. Hence 2 sub-groups will be formed in each Train C & Train F groups.
Finally the company would have 8 groups for cleaning validation purpose as follows
Train A – 1 Group
Train B – 1 Group
Train C – 2 Group
Train D – 1 Group
Train E – 1 Group
Train F – 2 Groups
Once the product groups have been established the next step is determined the so-called ‘worst case’ representative of each group and cleaning validation of the same.
By using bracketing approach we validated only 8 products out of 55 products.
Grouping by Substances:
Substances can be grouped as follows

  • Produce in the same train substances with the same cleaning procedure.
  • Produce in the same train substances with very low therapeutic dose and/or low batch sizes. (Then sub groups to be formed based on cleaning process)
  • Produce in the same train substances with very high therapeutic dose and/or large batch sizes. (Then sub groups to be formed based on cleaning process).
  • Produce in the same train substances with very low ADE. (Then sub groups to be formed based on cleaning process).
  • Produce in the same train substances with very High ADE. (Then sub groups to be formed based on cleaning process).
Once the product groups have been established the next step is determined the so-called ‘worst case’ representative of each group and cleaning validation of the same.
Grouping by Product:
1.  The common basis for grouping is by product. The grouping is usually based on the formulations or dosage form of the product.  When this approach is used products are divided in to groups according to the dosage form and then according to formulation.
For example
A company might have 10 tableted products, 6 ointment products and 4 liquid products. In this case the first evaluation would be that the products fall naturally in to 3 broad groups.
However if 6 of the tableted products were manufactured by wet granulation process, whereas 4 of the products were manufactured by a dry, direct compression method this would be a basis for subdividing the tablet in to 2 sub-groups. Likewise if 2 of liquid products were suspensions and other 2 liquid product were true solutions. This will also create 2 subgroups for this group.
The company would have 5 groups of products for cleaning validation purpose.
Tableted products – 2 groups
Ointment products – 1 group
Liquid products – 2 groups.
Once the product groups have been established the next step is determined the so-called ‘worst case’ representative of each group.
2. Another example is would be a group composed of several products of similar potency. In this case the worst case selection might be based on the basis of solubility.
3.  Third example might be group composed of several products having same API and differing only in concentration of API. In this it would be reasonable to select product having highest concentration as worst case.
It is unlikely that single worst case product could apply to entire line of products having significantly different formulation and dosage forms.
The substance / Product which does not fall within bracketing approach must be validated individually.
WORST CASE RATING
Worst case rating will generally depend on following points.
a)    Hardest to clean, Experience from production
b)    Solubility in used solvent
c)    Lowest acceptable daily exposure
d)    Lowest therapeutic dose
Hardest to clean, Experience from production:
One criterion which can be used is, experience from production with regard to how difficult a substance is to clean out. This study is recommended to be in the form of interviews with operators and supervisors.
Difficulty of cleaning could be rated according to the three categories suggested below.
Category:  1 = Easy
                  2 = Medium
                  3 = Difficult
Solubility in used solvent:
Solubility rating should be carried out as follows.
Acceptable daily exposure (ADE):
The acceptable daily exposure (ADE) defines a limit at which patient may be exposed every day for a life time with acceptable risk related to adverse health effects.
ADE rating should be carried out as follows.
If ADE data are not available, other pharmacological (dose), OEL or toxicity data LD50 may be used.
Therapeutic dose:
Rating based on therapeutic dose can be given as follows.
If dose data are not available, other pharmacological (dose), OEL or toxicity data LD50 may be used.
Rating Procedure:
The worst case rating can be executed according to an issued protocol in which the methods and procedures for rating will be identified. And a formal rating matrix has been filled as follows.
For example if a group has formed from 9 substances (Esubstance, Fsubstance, Csubstance, Lsubstance, Osubstance, Msubstance, Psubstance, Rsubstance and Tsubstance) which can produce from same equipment train. Out 9 substances 6 substances have one cleaning procedure where as other 3 have different cleaning procedure.
All categories are introduced as column in matrix to identify worst case based on rating.
v  For the products in this train two cleaning procedures (Class 1 & Class III) are used.
Therefore two groups have to be validated.

  •   The worst case product (for the validation study) for class III is Osubstance (Solubility 2 and hardest to clean is 2.8).
  • The worst case product (for the validation study) for class I is Rsubstance (Solubility 2 and hardest to clean is 2.6)
  • In both cases the limit should be calculated with the most active substance (ADE4) if ADE data not available the limit should be calculated with the most active substance (Therapeutic substance 4).
  • If limit calculated with ADE4 or therapeutic dose 4 is achievable for all products this limit can be chosen for both the groups. If limit is two low and not achievable Esubstance & Fsubstance should be considered as a separate group or produced in dedicated equipment’s.
The limit for the remaining group should be calculated with the next most active substance (i.e ADE 3 or Therape

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药生
发表于 2016-4-8 14:33:23 | 显示全部楼层
一个设备由不同的清洁方法,究其原因是什么呢?那么我针对产品进行验证又有什么策略上的错误呢?
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药士
发表于 2016-4-8 14:34:43 | 显示全部楼层
本帖最后由 zysx01234 于 2016-4-8 15:11 编辑

清洁验证的目的就是验证清洁方法本身对于现有设备的清洁能力,方法好不好要考虑产品的特点和设备的特点,选用何种清洗剂、用量、清洗的方式、方法、程序,因此按品种做或按设备做的说法可以说都行也可以说不行。
在化药的企业通常做法是按品种,在饮片厂的通常做法按设备,在制剂企业尤其是多品种共线通常是设备和品种结合按最差条件(溶解性差的、性状突出的、毒性最大的等)来做,各类型的企业选择自己合适的手段是很重要的
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发表于 2016-4-8 14:39:53 | 显示全部楼层
如果一个设备有多个不同的清洁方法,就应有多个清洁验证.这个观念需要讨论呀??
我们是按清洁评估后,最难清洁品种清洁方法,清洁只有一种方法,做清洁验证,我们的理解是最难的都洗干净了,其他的就不存在问题,若验证结果不符这说明清洁方法需要改进,改进后再验证。其他品种只需要做残留就行了,其他项目不必重复。
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药徒
发表于 2016-4-8 14:43:32 | 显示全部楼层
这其实是个见仁见智的问题,我觉得无论是按品种还是按设备都没错。
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药师
 楼主| 发表于 2016-4-8 15:02:03 | 显示全部楼层
dpzhangxc 发表于 2016-4-8 14:39
如果一个设备有多个不同的清洁方法,就应有多个清洁验证.这个观念需要讨论呀??
我们是按清洁评估后,最 ...


最难清洁品种是某一清洁方法的最难清洁品种。算DTC值时,有一项是清洁难易程度,同一品种使用不同的清洁方法难易程度不一样吧?还有一项是清洁剂中的溶解性,同一品种在不同清洁剂中的溶解性不同吧?所以同一API对于不同的清洁SOP,其DTC值是不同,因此必须按清洁方法进行验证。
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药士
发表于 2016-4-8 15:15:30 | 显示全部楼层
zysx01234 发表于 2016-4-8 14:34
清洁验证的目的就是验证清洁方法本身对于现有设备的清洁能力,方法好不好要考虑产品的特点和设备的特点,选 ...

谢谢夸奖
做清洁验证对一个QA来说,既是交差——法规要求、客户要求,又是企业保证产品质量的工作要求。
怎么样合适,怎么样方便易行,且合规、不给审计员留口舌才是企业的首选
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药生
发表于 2016-4-8 15:15:42 | 显示全部楼层
这有什么实质性的区别?都是对清洁方法的验证。
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药生
发表于 2016-4-8 15:25:48 | 显示全部楼层
对啊,所以,设备不同的清洁方法的根源还是产品的API或者API与辅料的相关性质影响的话,那么,根据品种也很正常或者大众,而且,也没有怎么浪费吧?除非前面用水,中间用溶剂,后面又用水,可以考虑通过风险分析判断确认的程度和范围嘛
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药生
发表于 2016-4-8 15:37:52 | 显示全部楼层
roadman 发表于 2016-4-8 15:18
不同品种API溶解性不同,需要用不同的溶剂、方法清洗。

按品种进行验证是浪费资源,真做也无不可, ...

增加新产品这件事儿,的确应该做,而且不应该注册的做吧?做质量的做吧?毕竟评估的是原产品会不会影响该产品,该产品会不会影响原产品在进行新产品清洁验证的时候已经进行过了。
如果是分设备做的话,首先,加新产品的时候,验证是必须的,在没有新产品的时候,也没说有10个品种就做10此验证啊,我们可以“风险评估”嘛
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药士
发表于 2016-4-8 15:52:54 | 显示全部楼层
按品种做,或按设备做,多可以吧。
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药士
发表于 2016-4-8 15:55:41 | 显示全部楼层
哥们选第一
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药生
发表于 2016-4-8 16:02:11 | 显示全部楼层
最开始的时候,每个产品都做过,现在,不管是车间转移了,还是到了大量的再验证环节,因为量大,所以进行分析,选择标记产品进行再验证,哪里投机了?新产品进行验证一是对自己负责,二是法规要求,老产品,就连附录都没有明确要求吧,怎么就算偷鸡了呢?不高兴了
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药师
 楼主| 发表于 2016-4-8 16:16:34 | 显示全部楼层
所以我问你们有没有清洁验证策略。大多数公司(不是说你)都是不写入文件,采用新产品按品种做,老产品就风险评估的偷鸡策略。
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药徒
发表于 2016-4-8 16:21:24 | 显示全部楼层
按品种和设备都可以,关键你的确认对象是你的清洁SOP不要搞错就行!!
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药师
 楼主| 发表于 2016-4-8 16:29:47 | 显示全部楼层
本帖最后由 roadman 于 2016-4-8 16:31 编辑
于磊 发表于 2016-4-8 16:21
按品种和设备都可以,关键你的确认对象是你的清洁SOP不要搞错就行!!


既然确认对象是清洁SOP,当然应该按SOP做了。怎么又说按品种和设备都可以呢?如果一台设备有多个清洁SOP,你在一个方案中验证多个SOP?

大多数方案都没有说明清洁验证的对象是什么。强调的是某产品或某设备的清洁验证,对真正的验证对象(清洁SOP)却一笔带过。也没有对清洁SOP的关键性评估文件。

补充内容 (2016-4-15 14:51):
做工艺验证大家都知道要有工艺关键性评估,怎么清洁工艺就可以没有呢?

补充内容 (2016-4-27 14:07):
http://www.dxy.cn/bbs/thread/24683176

补充内容 (2019-1-31 16:04):
https://www.ouryao.com/thread-468542-1-1.html

补充内容 (2021-7-18 10:01):
https://www.sterislifesciences.c ... ess-parameters.ashx
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药徒
发表于 2016-4-8 16:34:54 | 显示全部楼层
感觉楼主是对的,应该以品种去做清洁验证。
这样确实有出现同一个设备不同清洁方案。但是如果考虑所有的共线品种做最严格的设置设备清洁方案也是允许的。
因为每个产品的规格和洗涤(去除)方法是不一样的,所以感觉以品种做清洁更加合适节省,同时也符合法规要求。
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药徒
发表于 2016-4-8 16:35:49 | 显示全部楼层
清洁验证有按品种做的,例如一个生产线多个品种生产,采用同样的清洁方法和设备,那么可以以品种为主线将多个设备的清洁验证串联到一起来执行。也有按设备做的,例如某生产线有多个品种生产,但是只有部分设备是全部共用的,这个时候你以品种为主线很难执行。那么也可以按设备去做。按品种和按设备做只是你的方案起草的模式和范围的不同而已对于清洁验证的本质是没什么影响的。而你清洁验证的对象永远是你的SOP,在SOP的操作下设备的清洁是符合产品生产的要求的。

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药徒
发表于 2016-4-8 16:36:54 | 显示全部楼层
至于确定公司清洁验证的范围,建议按照公司的清洁SOP来进行确定
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