SKU: 52401583077

ZBiotics - Pre-Alcohol Probiotic

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Description

ZBiotics - Pre-Alcohol ProbioticZBiotics Pre Alcohol Probiotic Drink ZBiotics Pre Alcohol is a science forward probiotic drink designed to support your body before alcohol consumption by helping break down an unwanted alcohol byproduct called acetaldehyde in the gut. For the full science breakdown, read: How It Works. Pre Alcohol is built with Bacillus subtilis ZB183, a probiotic strain developed using genetic engineering to produce an enzyme similar to the one your liver uses to

ZBiotics® Pre-Alcohol Probiotic Drink

ZBiotics® Pre-Alcohol is a science-forward probiotic drink designed to support your body before alcohol consumption by helping break down an unwanted alcohol byproduct called acetaldehyde in the gut. For the full science breakdown, read: How It Works.

Pre-Alcohol is built with Bacillus subtilis ZB183™, a probiotic strain developed using genetic engineering to produce an enzyme similar to the one your liver uses to process acetaldehyde.


The Problem: Acetaldehyde Buildup

When you drink alcohol, your body metabolizes ethanol into acetaldehyde — a highly reactive and unwanted byproduct. Acetaldehyde forms in two places: the liver and the gut.

The liver is well-equipped to process acetaldehyde through a two-step enzyme pathway:

  • Alcohol dehydrogenase (ADH) converts ethanol into acetaldehyde (oxidation).
  • Acetaldehyde dehydrogenase (ALDH) converts acetaldehyde into acetate (a more stable compound).

However, some alcohol is metabolized in the gut by microbes that can produce ADH, but often do not produce enough ALDH to keep up — which can contribute to acetaldehyde lingering longer than ideal.


The Solution: Engineered Probiotic Support in the Gut

In theory, you could attempt to deliver the ALDH enzyme directly — but enzymes are proteins, and most proteins break down quickly during digestion. ZBiotics took a different approach: use a probiotic that can survive stomach acid and produce the enzyme where it’s needed.

ZBiotics started with Bacillus subtilis, a probiotic species humans have consumed in fermented foods and supplements for a long time. Using genetic engineering, they developed ZB183™ — a strain designed to produce ALDH in the gut to help break down acetaldehyde into acetate.

Want the full walkthrough of the mechanism and research foundation? Read How It Works.


Science Snapshot

  • Targets acetaldehyde: Alcohol breaks down into acetaldehyde — an unwanted, highly reactive byproduct that can linger in the gut longer than ideal.
  • Gut-focused approach: Pre-Alcohol adds a temporary probiotic that produces an enzyme similar to the one your liver uses to break acetaldehyde down.
  • Built on real biotech: Uses a genetically engineered probiotic strain, Bacillus subtilis ZB183™, developed and tested by scientists.

Want the full breakdown? See how it works →


Data, Validation & Quality Standards

ZBiotics reports that ZB183™ has been tested in laboratory settings for safety and functionality, including evaluations designed to confirm ALDH production and acetaldehyde breakdown capacity.

Pre-Alcohol undergoes rigorous quality testing at every stage, and we transparently publish our findings on our Quality page which can be found here: Quality Page.


Nutrition Facts

Serving Size 1 Bottle
Calories 0
Total Fat 0g
Sodium 3mg
Total Carbohydrate 0g
Protein 0g

Not a significant source of saturated fat, trans fat, cholesterol, dietary fiber, total sugars, added sugars, vitamin D, calcium, iron, or potassium.


Ingredients

Water, Natural Flavors, Potassium Sorbate, Sodium Chloride, Bacillus subtilis ZB183™


How to Use

  • Drink one bottle before your first alcoholic drink.
  • For best results, make it your first drink of the night.
  • Hydrate, pace yourself, and drink responsibly.

Alcohol may still affect sleep and overall well-being. A balanced meal, hydration, and proper rest still matter.


FDA Disclaimer:
Statements regarding these products have not been evaluated by the Food and Drug Administration. This product is not intended to diagnose, treat, cure, or prevent any disease.


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SKU: 52401583077

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4.8 ★★★★★
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Shannon
Port Orchard, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Battle Creek, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017
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Adam
Alexandria, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026
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Amazon Customer
Lexington, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
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mackster
Louisville, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018

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