Microbial ID

MIDI Solutions

MIDI, Inc. has developed complex chromatographic data analysis solutions for microbiology, soil science and spice analysis since 1991.

Sherlock™ can currently be applied to the automated analysis of:

 ✓ Fatty acids (GC)

 ✓ Soil PLFA, NLFAs (GC)

 ✓ Terpenes/Spices (GC)

 ✓ Botanicals (HPLC, in R&D)

The Sherlock software currently operates with Agilent Technologies and Shimadzu Corporation's GC and HPLC hardware.

MIDI Services

Our sister company, MIDI Labs, provides microbial identification by 16S/28S DNA Sequencing and
MALDI-TOF Mass Spectrometry.

Sherlock™ GC Software Solutions

Gas Chromatography (GC) has been used for more than 30 years as a rapid and accurate method for microbial ID, fatty acid (FAME) and phospholipid fatty acid (PLFA) analysis.

MIDI automated this technology in 1991 with the introduction of the Sherlock™ Microbial Identification System (MIS).

The Sherlock MIS is used in more than 40 countries with
more than 5,000 journal citations referencing the technology.

In 2006, the Sherlock MIS was awarded FDA 510(k) clearance for the identification of Bacillus anthracis (the Anthrax pathogen).

In 2017, MIDI introduced the Sherlock™ Chromatographic Analysis System (CAS), which extended the software to Shimadzu Corporation's GC-2010/2030 product line.

For research use only. Not for use in diagnostic procedures.

Shimadzu-based Solutions

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Agilent-based Solutions

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Sherlock™ Mycobacteria ID System (MYCO-LCS)

Mycolic acid analysis by
High Performance Liquid Chromatography (HPLC)
has been used for more
than 20 years as a rapid method for mycobacterial identification.

MIDI automated this technology with the introduction of the Sherlock™ Mycobacterial Identification System (MYCO-LCS).

In 2002, the Sherlock MYCO-LCS was awarded FDA 510(k) clearance for the identification of Mycobacterium tuberculosis (the TB pathogen).

The MYCO-LCS identifies
25 mycobacterial species and more than 35 species from
related genera, including:
M. tuberculosis, Corynebacteria, Dietzia, Gordonia, Nocardia, Rhodococcus and Tsukamurella.

Unlike many other ID systems, the Sherlock MYCO-LCS can separate Mycobacterium bovis BCG (Vaccine strain) from the MTB complex and can identify Mycobacteria spp. in the presence of contaminant bacteria.

For research use only. Not for use in diagnostic procedures.

Note, this is a Legacy product and new systems are no longer sold.

MIDI's Automated Spice Authentication System Published in Journal of Chromatography A

The MIDI software was adapted to identify terpenes from spices after an ultrasound-assisted extraction procedure. The sample terpene profiles were then compared to stored databases by integrated chemometrics for authentication.

According to the authors, "The results of this research are a novel method for authentication of spices and improve upon the decades-long American Spice Trade Association (ASTA) methods." Some benefits of the new spice analysis methods include the following: reduced human error, low labor cost, precision chromatography, automated pattern-recognition searches of spice databases, detection of adulteration, and high reproducibility.

In the future, the software will be expanded to include deconvolution of commercial spice mixtures. In addition, the model system is being used in the development of an automated HPLC system with Diode Array Detection for authentication of herbs and botanical dietary supplements.

The Sherlock Software program from MIDI, Inc., originally conceived and designed to identify microorganisms by their fatty acid profiles, has been successfully adapted to serve as an effective automated botanical authentication system.

Full Text Publication To learn more about MIDI's botanical analysis capabilities, contact us. Contact Info