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No. Any changes to the diet can affect the results of the test. The manufacturer of the SIBO test created the prep diet based on their research and testing. Only the things on the prep diet are allowed to get the cleanest results for the SIBO test.

The sashimi fish is fine on the prep diet, when eaten alone and without sauce. The rice in Nigiri is usually made with sugar-based binders to make it stick together better, and thus should be avoided on the prep diet. The only exception is home-made Nigiri with steamed white rice and no sauces. Sushi rolls are very much to be avoided.

Can I eat cheese on the prep diet?

Any meat ingested must be made without any added sugars/brines/cures/etc. to avoid contaminating the prep diet. Avoid meats like deli-meat, lox, and pre-prepared meats that have any other herbs and spices besides salt and pepper. Meats like sausage usually have other herbs or sugars in them and should be avoided during the prep diet.

The SIBO prep diet specifically cuts out plant products and sugars in order to starve the bacteria for a day prior to taking the test, which will give you the most accurate results. If you do not adhere to the diet, the bacteria may not react during the test, leading to possible false negative results. If you do not normally consume meat/eggs, please consult with your doctor to determine your options.

The SIBO breath test involves a 24-48 hour prep diet (the length depends on your doctor’s recommendation), a 12 hour fast prior to the test, and a 3 hour breath test (once every 20 minutes) after drinking a solution of lactulose. Download the SIBO Prep Guidelines.

DO NOT eat any of the allowed foods if you react to them or exclude them for other reasons.


The SIBO breath test diet requires a period of food restriction for 24-48 hours. The diet preparation is the same for lactose intolerance and fructose malabsorption testing.
If you have special dietary restrictions that prevent you from consuming foods from this list, please contact us.

Lunch Ideas

Following the SIBO Breath Test Diet Guideline is VERY important for accurate results. If you (the patient) are not able to comply with these guidelines for testing, then you may not be a candidate for a breath testing and your medical professional can assist you in determining if another test without these preparation limits is more suitable for you.

During the SIBO breath test diet preparation period you may consume ONLY:

The second 12 hours DO NOT eat or drink anything, except water.

The first 12 hours is the restricted diet. Limit your food to those listed below. Typically, people decide what time they wish to start conducting the SIBO breath test and work backwards. For example, if you plan to start collection at 8am, you will have nothing to eat after 8pm the night before. You need to get up at least one hour prior to starting the SIBO breath test (whether you are doing the test at home or in-clinic), so this would be 7am for an 8am start. No food, exercise or smoking in this hour.

"Computational chemistry is playing an increasingly important role for research in the pharmaceutical industry, oils & plastic, and materials development. Simulation and high-throughput screening can be orders of magnitude cheaper than experiments in the early stages of drug design. The ERC project preceding this application has developed several new techniques that make it orders-of-magnitude more efficient to calculate free energies from simulations rather than approximate docking screening. We have already had great academic success, but the requirement of large computer clusters or access to the [email protected] network makes it difficult to implement in industry. To address this, we have developed a new framework for peer-to-peer distributed computing combined with Markov state models (called “Copernicus”) to be presented at Supercomputing’11. Copernicus completely removes the need to deal with single simulations, and allows users to specify workflows – directly on their laptop – in terms of free energy calculations or sampling of complex processes such as protein folding. Workflows are transparently uploaded to a server and split into distributed calculation workunits (e.g. in a company), computer clusters, but also cloud computing to deal with peaks in usage. The results are again transparently moved to the user’s machine. This provides a clear competitive advantage in terms of efficiency, and it removes all investment and support costs related to high-performance computing. This is of course not limited to molecular simulation, and in addition to the pharmaceutical track we want to investigate usage in the financial industry. We have just submitted a patent application for the dynamic data flow network that makes the peer-to-peer usage possible, but we would need a programmer to turn the research-level code into a working proof-of-concept for high-throughput screening applications in the pharmaceutical industry and another person to work on business development."

Patient/individual specific cells, including induced pluripotent stem (iPS) cells will be crucial in defining tomorrow’s medicine owing to their uses in drug discovery, immunotherapy or cell therapy. These clinical applications require the utmost accurate and reliable identity and purity testing, however, the majority of cells stored worldwide fall short of a sufficient level of characterisation. This project aims at validatating and commercializing an innovative method of diagnostic and quality control for human cells. It is based on our unprecedented ability to measure the expression of millions of uncharted RNA biomarkers called TEs, genetic units that contribute over 50% of the genome but that have been completely disregarded until very recently, mainly due to the challenge imposed by their complex analysis. Our new methodology provides a high-density barcode of cellular identity, opening the door for individual-specific cells to broad applications in biotechnology and medicine alike.

The emergence of the Internet of Things (IoT), Industry 4.0 as well as the drive for point-of-care biomedical diagnostics is accompanied by a strong need for measuring physical, chemical and biomedical status data in real time with cost-efficient and low-maintenance sensors. With optical measurement techniques being widely employed, miniaturized optical sensor devices are highly promising. Light emitting diodes based on organic semiconductor materials (OLEDs) are experiencing a rapid market growth – in particular in the area of displays. Organic emitter materials may be tailored to any emission wavelength in the visible wavelength range. In addition, cost-efficient fabrication techniques are being developed, for example, based on roll-to-roll fabrication. These properties make OLEDs also very promising for sensor applications. As part of the ERC Starting Grant PhotoSmart (N°307800) we developed an OLED matrix as on-chip light source for switching light-sensitive “smart” surfaces for biosensor applications. OLED matrix devices for sensors require OLEDs with directional emission. We propose to fabricate OLED devices on top of a nanostructured fluorescence waveguide layer and a spacer layer. Wide-angle OLED light emitted is absorbed in the fluorescence layer. By appropriate choice of the fluorescence layer regarding absorption spectrum and emission profile of the photoluminescent emitters, efficient conversion of excitation light to emission into the waveguide is achieved. The design of the nanostructure allows the tailoring of the narrow-angle emitted beam characteristics. Within this project, we seek funds to support validation of our approach for the sensor application, to carry out evaluation of market needs, and to review IP with the goal to start a spin-off company.

Experiments with live cells are fundamentally important in biology, pharmaceutical industry, biotechnology or in medicine and diagnostics. One important example of cell experiments is the prescreening of cells from cancer biopsies with anticancer drugs in order to identify the most effective and least toxic combination of drugs for a particular patient also known as personalized medicine. The goal of this ERC Proof-of-Concept project is to develop, fabricate and optimize a device (CellScreenChip) for performing miniaturized, parallel and, therefore, more affordable and faster cell screening experiments for the areas of diagnostics and personalized medicine. Applications of the CellScreenChip include (but not limited to) cell based disease diagnosis (e.g. cancer diagnostics), drug screening (e.g. body on a chip) or personalized medicine (e.g. personalized drug compatibility tests). The CellScreenChip will be based on our recent development of the superhydrophobic-superhydrophilic micropatterning methods and the ability to create high-density arrays of droplet microreservoirs on superhydrophobic-superhydrophilic patterns that can be used for parallelized and miniaturized cell experiments.

We propose to construct a pre-commercial microsecond-resolved, spectrally broadband, ellipsometer, based on our recently-developed, ERC-funded technique of cavity-ring-down ellipsometry (CRDE), for which we have a US and international (PCT) patents pending. This BIOCARDE instrument will have unprecedented time resolution and sensitivity, compared to commercial ellipsometers, and will have potential application in the biosensing and surface characterization (semiconductor) industries. The BIOCARDE instrument will be tested by the Biosensors group at FORTH (Prof. Gizeli), and by our industrial partners SOPRALAB in Paris (world-leading ellipsometry company). Interest in the instrument will be from three directions: 1) Research groups in the biosensing and surface characterization fields. Instruments will be sold to these groups, which will increase the profile and research scope of CRDE. 2) SOPRALAB, is interested in the enabling technologies of the instrument (the combination of the broad-band laser and microsecond-resolved data acquisition) 3) Biosensing companies, as the BIOCARDE instrument will be made to be compatible with (and tested with) their commercial prisms and biosensing delivery systems, to prove that the new capabilities (microsecond ellipsometric detection) is compatible with their existing technologies.