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Dry LabRTM Modeling Computer Assiste...

Khan, Shaista.

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Dry LabRTM Modeling Computer Assisted Method Development and Robustness Validation for the Seperation of Nine Pharmaceutical Active Ingredients Using Gradient Elution Reversed-phase Separation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Dry LabRTM Modeling Computer Assisted Method Development and Robustness Validation for the Seperation of Nine Pharmaceutical Active Ingredients Using Gradient Elution Reversed-phase Separation./
Author:	Khan, Shaista.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	165 p.
Notes:	Source: Masters Abstracts International, Volume: 57-05.
Contained By:	Masters Abstracts International57-05(E).
Subject:	Chemistry. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10784870
ISBN:	9780355954227

Dry LabRTM Modeling Computer Assisted Method Development and Robustness Validation for the Seperation of Nine Pharmaceutical Active Ingredients Using Gradient Elution Reversed-phase Separation.
Khan, Shaista.

Dry LabRTM Modeling Computer Assisted Method Development and Robustness Validation for the Seperation of Nine Pharmaceutical Active Ingredients Using Gradient Elution Reversed-phase Separation. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 165 p.

Source: Masters Abstracts International, Volume: 57-05.

Thesis (M.S.)--Northeastern Illinois University, 2018.

High performance liquid chromatography (HPLC) method development is a technique for drug analysis that is a time consuming process. To prevent the need for a trial and error process, one can use a computer assisted method. In this thesis, we report about the use of Dry Lab to develop and optimize reverse phase liquid chromatography method to separate the following 10 drugs: 1. Clonidine 2. Gatifloxacin 3.Hydrochlorothizaide 4.Triprolidine 5.Fluoconozole 6.Trazodone 7.Pantaeprozole 8.X-Drug 9.Rivarzabanand 10. Ketorolac.

ISBN: 9780355954227Subjects--Topical Terms:

516420
Chemistry.

Dry LabRTM Modeling Computer Assisted Method Development and Robustness Validation for the Seperation of Nine Pharmaceutical Active Ingredients Using Gradient Elution Reversed-phase Separation.
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100 1 $a Khan, Shaista. $3 3429453
245 1 0 $a Dry LabRTM Modeling Computer Assisted Method Development and Robustness Validation for the Seperation of Nine Pharmaceutical Active Ingredients Using Gradient Elution Reversed-phase Separation.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 165 p.
500 $a Source: Masters Abstracts International, Volume: 57-05.
500 $a Adviser: John Al-Bazi.
502 $a Thesis (M.S.)--Northeastern Illinois University, 2018.
520 $a High performance liquid chromatography (HPLC) method development is a technique for drug analysis that is a time consuming process. To prevent the need for a trial and error process, one can use a computer assisted method. In this thesis, we report about the use of Dry Lab to develop and optimize reverse phase liquid chromatography method to separate the following 10 drugs: 1. Clonidine 2. Gatifloxacin 3.Hydrochlorothizaide 4.Triprolidine 5.Fluoconozole 6.Trazodone 7.Pantaeprozole 8.X-Drug 9.Rivarzabanand 10. Ketorolac.
520 $a Chromatographic separation of mixture of the above drugs was achieved by applying Gradientelution technique at a flow rate of 1.0 ml/min. The organic solvent of choice was ACN and the mobile phase was optimized at a composition of 30% ACN and 70% buffered deionized water. The best suited buffer was a monobasic potassium phosphate salt at a concentration of 25 mm and the mobile phase pH was set 2.88 pH. The separation was performed on a reversed phase, silica based, C8column(250x4.6mm) made by Waters CorporationRTM, with a particle size of 5 microm. The column temperatures were controlled at 35°C and 55°C; the UV absorption wavelength initially was set at 260, 267 and 290nm, and finally 260nm. The injected volume of a mixture of the above drugs was 10 microl and the total run time for the method was 24 minutes. The method was validated within ICH and FDA guidelines.
590 $a School code: 1696.
650 4 $a Chemistry. $3 516420
650 4 $a Pharmaceutical sciences. $3 3173021
690 $a 0485
690 $a 0572
710 2 $a Northeastern Illinois University. $b MS Chemistry. $3 3429454
773 0 $t Masters Abstracts International $g 57-05(E).
790 $a 1696
791 $a M.S.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10784870