Restoring Content Damaged by Smoke and Soot
Commercial fires can often be severe and leave businesses devastated. While not everything can be recovered from the aftermath of fire, you will want to preserve the content that can. It is beneficial to know the best methods for content cleaning when your goods have been affected by smoke or soot. For example, clothes that retain soot or the residual odor of smoke from a fire can be restored to their previous condition by professional dry-cleaning. Here are a few other methods for preserving your smoke and soot damaged items:
? Foam-cleaning should be attempted on all fabrics that are not color fast and those that may shrink during the wet cleaning process.
? Wet-cleaning can be used when dealing with garments that retain their color and items that have been heavily or moderately soiled by smoke or soot.
? Immersion-cleaning is generally reserved as a last resort and involved dipping contents into a cleaning agent.
It is always best to contact local Cleburne, TX, professionals to assist you with your content cleaning needs.
Items Constructed from Non-porous Material
Methods like dry-cleaning and wet-cleaning are great for fabrics, but what about non-porous materials? Your jewelry, electronics, vinyl records, and an abundance of other items can be saved with ultrasonic cleaning. An ultrasonic cleaner uses ultrasound to clean damaged items, often with the help of a small amount of tap water.
If you have considered moving your business’s belongings into content storage due to structural damage or other fire damage, bear in mind that it is essential to clean smoke and soot from electronics as soon as you are able. Metallic objects can become corroded due to acid contained in the smoke residue. While dry-cleaning clothing will certainly be a priority for some retail locations, you should also be mindful of electronic items that may store vital information, such as laptops, cell phones, servers, and point of sales computers and have them cleaned immediately to prevent loss of data.
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