Microbial ID
 


MIDI Solutions

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

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


   ✓ Bacteria (GC)

   ✓ Fatty acids (GC)

   ✓ Marine Oils (GC)

   ✓ Soil PLFA,NLFAs (GC, GC-MS)

   ✓ Terpenes (GC, GC-MS)

   ✓ Mycobacteria (HPLC)




The Sherlock software currently operates with Agilent Technologies' GC, GC-MS and HPLC hardware, as well as Shimadzu Corporation's GC hardware.




MIDI Services

Our sister company, Microbial ID, provides Soil Microbiology Testing Services for PLFA and NLFA.




Sherlock™ GC & GC-MS 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), which combined the Sherlock software platform with Agilent Technologies' GC product line.

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

In 2014, MIDI introduced Sherlock X™ which extended the software to fire debris and PLFA analysis on Agilent Technologies' GC-MS product line.

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

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

Agilent-based Solutions

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Shimadzu-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 in 2003 with the introduction of the Sherlock™ Mycobacterial Identification System (MYCO-LCS). The MYCO-LCS is widely-used in US public health laboratories at the City, County and State level, as well as reference laboratories in other countries.

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.

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The MIDI System was used to Automatically Differentiate The Four Species of Cinnamon

The Sherlock Chromatographic Analysis System (CAS) was used for the automated chemotaxonomic differentiation of the four species of
Cinnamon (Cinnamomum spp.):
C. verum (True Cinnamon, Sri Lanka), C. burmannii (Indonesia),
C. loureiroi (Vietnam, and
C. cassia (China).


According to the authors, "The Sherlock Chromatographic Analysis Software program from MIDI, Inc., originally conceived and designed as a system to identify microorganisms by their FAME profiles, has been successfully adapted to serve as an effective automated botanical authentication system for cinnamon. We anticipate that this same approach will be reported for numerous other botanicals soon."


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




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