A Precise Review on Applications and Basic Concept of Direct Analysis in Real Time Mass Spectrometry (DART-MS)

Author(s):  
Shivani Sharma ◽  
Navdeep Singh ◽  
Amar Deep Ankalgi ◽  
Arti Rana ◽  
Mahendra Singh Ashawat

Direct real time analysis (DART) is the most successful tool for the analysis of the compounds. This technique is useful for the identification, and classification of compounds. It is widely followed by the forensic chemistry, and also used for many purposes. Their main applications include inks, paints, drugs, bank dyes, explosives, beverages, and gunshot etc. The basic concepts of DART-MS were highlighted to understand the process. Also the basic fundamentals of DART-MS including special function were discussed. Various natural products were discovered by DART-MS includes plant tissue, insects, and microbe etc. The main focus of this review article is on the applications of direct real time analysis, which covers the varieties of uses in our pharmaceutical as well as chemical industries. This technique was helpful in the production of food material, and to identify the contaminants from animal sources in the part of veterinary drugs. Also, used in food processing in the form of additives, and adulterants. DART-MS has huge applications on analysis of seized drug like steroids supplements, psychoactive plants etc. Also, in inks, paint, and documents industry this technique has been widely used. So, this review covers the basic fundamentals of direct real time analysis DART-MS, and their applications.

2013 ◽  
Vol 96 (2) ◽  
pp. 353-356 ◽  
Author(s):  
Lei Wang ◽  
Pengyue Zhao ◽  
Fengzu Zhang ◽  
Aijuan Bai ◽  
Canping Pan

Abstract Ambient ionization direct analysis in real time (DART) coupled to single-quadrupole MS (DART-MS) was evaluated for rapid detection of caffeine in commercial samples without chromatographic separation or sample preparation. Four commercial samples were examined: tea, instant coffee, green tea beverage, and soft drink. The response-related parameters were optimized for the DART temperature and MS fragmentor. Under optimal conditions, the molecular ion (M+H)+ was the major ion for identification of caffeine. The results showed that DART-MS is a promising tool for the quick analysis of important marker molecules in commercial samples. Furthermore, this system has demonstrated significant potential for high sample throughput and real-time analysis.


Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.


2020 ◽  
Vol 67 (4) ◽  
pp. 1197-1205 ◽  
Author(s):  
Yuki Totani ◽  
Susumu Kotani ◽  
Kei Odai ◽  
Etsuro Ito ◽  
Manabu Sakakibara

2021 ◽  
Vol 2021 (4) ◽  
pp. 7-16
Author(s):  
Sivaraman Eswaran ◽  
Aruna Srinivasan ◽  
Prasad Honnavalli

2021 ◽  
Vol 57 (28) ◽  
pp. 3430-3444
Author(s):  
Vinod Kumar

This article describes our journey and success stories in the development of chemical warfare detection, detailing the range of unique chemical probes and methods explored to achieve the specific detection of individual agents in realistic environments.


2021 ◽  
Vol 77 (2) ◽  
pp. 98-108
Author(s):  
R. M. Churchill ◽  
C. S. Chang ◽  
J. Choi ◽  
J. Wong ◽  
S. Klasky ◽  
...  

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