SKU: 67900455006

Sartorius 17822----------K Minisart® RC4 Syringe Filter, Regenerated Cellulose, 0.45 µm, 4mm, 50/pk

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Description

Sartorius 17822----------K Minisart® RC4 Syringe Filter, Regenerated Cellulose, 0.45 µm, 4mm, 50/pkNon sterile Minisart RC syringe filters are supplied in a pouch in one pack. This reduces waste and makes the handling easier whenever the application allows clarification under non sterile conditions, like this is the case for the majority of sample preparation steps prior to HPLC or GC analysis. The RC membrane is the best option for reliable and leachable free filtration. The very low non specific binding characteristics of this membrane makes it a

Non-sterile Minisart® RC syringe filters are supplied in a pouch in one pack. This reduces waste and makes the handling easier whenever the application allows clarification under non-sterile conditions, like this is the case for the majority of sample preparation steps prior to HPLC or GC analysis. The RC membrane is the best option for reliable and leachable free filtration. The very low non-specific binding characteristics of this membrane makes it a perfect choice for aqueous samples and solvents. In addition, unlike PVDF filters, those with RC membranes are suitable for DMSO and other amides, or for ketones, esters, and ethers. The housing of the filter is made of PP (polypropylene) which is compatibility with harsh solvents, acids and bases.

A pouch in one pack for less waste
Minimum extractables or leachables
Very low non-specific binding
Outperforming chemical compatibility

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SKU: 67900455006

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Tans
Boise, US
★★★★★ 4
Really good content on Rag and Agents
Format: Paperback
The book is a plethora of AI implementations put together this covers everything required for an Ai engineer, llm developer and enterprise user to understand the terms are simple and implementation is even better, you should definitely check it out
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Reviewed in the United States on July 29, 2025
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RAKESH MITTAL
Battle Creek, US
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
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Reviewed in the United States on September 19, 2025
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Ting
Louisville, US
★★★★★ 1
Not worth your time!
Format: Paperback
The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
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Reviewed in the United States on May 28, 2026
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Sai
Battle Creek, US
★★★★★ 2
Pages were torn
Format: Paperback, Format: Paperback
Pages were sent torn
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Reviewed in the United States on January 20, 2026
K
Kirk D. Borne
San Leandro, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on October 24, 2025

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