Polymer laminates typically make complex samples for infrared analysis, comprising multiple layers with defined thicknesses, in some cases less than 10 µm. When measuring extremely narrow laminate layers, the use of attenuated total reflectance (ATR) may provide improved spectra of the laminate cross-section, because ATR microscope objectives offer a greater spatial resolution than transmission due to additional magnification. This paper details the preparation of polymer laminate sample cross-sections and the collection of transmission and ATR spectra of various layers. Further analysis of the laminate spectra will also be explored utilizing a multivariate curve resolution (MCR) algorithm. An example laminate sample is examined utilizing all the tools available on a standard FT-IR microscope.
Detecting impurities in any chemical reaction is becoming increasingly important to detect those present at low levels (for example, 0.5%).
Recent advances in Raman instrumentation have resulted in the development of easy-to-use and efficient handheld Raman analyzers. Most of the commercially available handheld Raman devices utilize 785 or 1064 nm excitation. This paper directly demonstrates the performance of 532 nm handheld Raman (versus 785 and 1064 nm) for the analysis of biopharmaceuticals for structure and counterfeit testing as well as explosive detection (TSA screening and CSI applications). The results presented here will contribute to recognition of 532 nm Raman excitation as a highly attractive option for a rapid “in-place” analysis in the field.
In this paper, we examine the relative performance of 532 and 785 nm portable Raman systems, as well as demonstrate an automated analytical methodology applicable for carbon nanotube (CNT) characterization and quality control applications. Both 532 and 785 nm Raman spectra were used to directly analyze and compare important CNT structural parameters and properties including CNT diameters, diameter distributions, CNT structural quality (% of defects), CNT types, and other properties. The data indicate advantages in a number of areas for using 532 versus 785 nm excitation for CNT Raman measurements.
Detecting impurities in any chemical reaction is becoming increasingly important to detect those present at low levels (for example, 0.5%).
In this paper, we examine the relative performance of 532 and 785 nm portable Raman systems, as well as demonstrate an automated analytical methodology applicable for carbon nanotube (CNT) characterization and quality control applications. Both 532 and 785 nm Raman spectra were used to directly analyze and compare important CNT structural parameters and properties including CNT diameters, diameter distributions, CNT structural quality (% of defects), CNT types, and other properties. The data indicate advantages in a number of areas for using 532 versus 785 nm excitation for CNT Raman measurements.
In this paper, we examine the relative performance of 532 and 785 nm portable Raman systems, as well as demonstrate an automated analytical methodology applicable for carbon nanotube (CNT) characterization and quality control applications. Both 532 and 785 nm Raman spectra were used to directly analyze and compare important CNT structural parameters and properties including CNT diameters, diameter distributions, CNT structural quality (% of defects), CNT types, and other properties. The data indicate advantages in a number of areas for using 532 versus 785 nm excitation for CNT Raman measurements.
Interest in connecting ion mobility spectrometry (IMS) to GC and especially to LC is now growing. One favorable property of IMS is that it can work with ambient pressure and can be easily connected to a gas or liquid chromatograph. Analytical applications of GC–MS and LC–MS are very different and encompass investigations into food, medical science, environment, drugs of abuse, chemical warfare agents, and explosives.
Interest in connecting ion mobility spectrometry (IMS) to GC and especially to LC is now growing. One favorable property of IMS is that it can work with ambient pressure and can be easily connected to a gas or liquid chromatograph. Analytical applications of GC–MS and LC–MS are very different and encompass investigations into food, medical science, environment, drugs of abuse, chemical warfare agents, and explosives.
Interest in connecting ion mobility spectrometry (IMS) to GC and especially to LC is now growing. One favorable property of IMS is that it can work with ambient pressure and can be easily connected to a gas or liquid chromatograph. Analytical applications of GC–MS and LC–MS are very different and encompass investigations into food, medical science, environment, drugs of abuse, chemical warfare agents, and explosives.
Water samples were obtained from the Tar River and a local water treatment plant in eastern North Carolina in spring 2013 and fall 2015 to monitor the presence of a panel of pharmaceutical and personal care products (PPCPs). Samples were extracted by solid phase extraction (SPE) or liquid-liquid extraction and analyzed for parent PPCPs and their metabolites by liquid chromatography-time of flight mass spectrometry (HPLC-TOFMS) and gas chromatography-mass spectrometry (GC-MS). Both extraction and detection methods were compared by their recoveries and detection limits for each compound. Many parent PPCPs and their metabolites were detected including: carbamazepine, iminostillbene, oxcarbazepine, epiandrosterone, loratadine, β-estradiol, triclosan, and others. Liquid-liquid extraction was found to give overall superior recoveries. Furthermore, HPLC-TOFMS gave lower detection limits than GC-MS. Library searching of additional peaks identified further compounds with biological activity. Additionally, the effectiveness of the treatment plant on the removal of the compounds of interest is discussed.
Water samples were obtained from the Tar River and a local water treatment plant in eastern North Carolina in spring 2013 and fall 2015 to monitor the presence of a panel of pharmaceutical and personal care products (PPCPs). Samples were extracted by solid phase extraction (SPE) or liquid-liquid extraction and analyzed for parent PPCPs and their metabolites by liquid chromatography-time of flight mass spectrometry (HPLC-TOFMS) and gas chromatography-mass spectrometry (GC-MS). Both extraction and detection methods were compared by their recoveries and detection limits for each compound. Many parent PPCPs and their metabolites were detected including: carbamazepine, iminostillbene, oxcarbazepine, epiandrosterone, loratadine, β-estradiol, triclosan, and others. Liquid-liquid extraction was found to give overall superior recoveries. Furthermore, HPLC-TOFMS gave lower detection limits than GC-MS. Library searching of additional peaks identified further compounds with biological activity. Additionally, the effectiveness of the treatment plant on the removal of the compounds of interest is discussed.
Water samples were obtained from the Tar River and a local water treatment plant in eastern North Carolina in spring 2013 and fall 2015 to monitor the presence of a panel of pharmaceutical and personal care products (PPCPs). Samples were extracted by solid phase extraction (SPE) or liquid-liquid extraction and analyzed for parent PPCPs and their metabolites by liquid chromatography-time of flight mass spectrometry (HPLC-TOFMS) and gas chromatography-mass spectrometry (GC-MS). Both extraction and detection methods were compared by their recoveries and detection limits for each compound. Many parent PPCPs and their metabolites were detected including: carbamazepine, iminostillbene, oxcarbazepine, epiandrosterone, loratadine, β-estradiol, triclosan, and others. Liquid-liquid extraction was found to give overall superior recoveries. Furthermore, HPLC-TOFMS gave lower detection limits than GC-MS. Library searching of additional peaks identified further compounds with biological activity. Additionally, the effectiveness of the treatment plant on the removal of the compounds of interest is discussed.
Water samples were obtained from the Tar River and a local water treatment plant in eastern North Carolina in spring 2013 and fall 2015 to monitor the presence of a panel of pharmaceutical and personal care products (PPCPs). Samples were extracted by solid phase extraction (SPE) or liquid-liquid extraction and analyzed for parent PPCPs and their metabolites by liquid chromatography-time of flight mass spectrometry (HPLC-TOFMS) and gas chromatography-mass spectrometry (GC-MS). Both extraction and detection methods were compared by their recoveries and detection limits for each compound. Many parent PPCPs and their metabolites were detected including: carbamazepine, iminostillbene, oxcarbazepine, epiandrosterone, loratadine, β-estradiol, triclosan, and others. Liquid-liquid extraction was found to give overall superior recoveries. Furthermore, HPLC-TOFMS gave lower detection limits than GC-MS. Library searching of additional peaks identified further compounds with biological activity. Additionally, the effectiveness of the treatment plant on the removal of the compounds of interest is discussed.
An LC-MS method has been developed for simultaneous quantification of buprenorphine and its three metabolites, namely norbuprenorphine, buprenorphine glucuronide, and norbuprenorphine glucuronide Chromatographic separation was achieved on a C18 column with a gradient of acetonitrile and ammonium acetate buffer (25 mM, pH 6.6). The method run time was 7.5 min. Quantification was performed by selected ion monitoring of [M+H]+ ions of norbuprenorphine glucuronide (590), norbuprenorphine (414), buprenorphine glucuronide (644) and buprenorphine (468). Naloxone (328) (328ng/mL) was used as an internal standard. The samples were processed by protein precipitation and extraction recovery was ≥95% with minimal observed matrix effects (
An LC-MS method has been developed for simultaneous quantification of buprenorphine and its three metabolites, namely norbuprenorphine, buprenorphine glucuronide, and norbuprenorphine glucuronide Chromatographic separation was achieved on a C18 column with a gradient of acetonitrile and ammonium acetate buffer (25 mM, pH 6.6). The method run time was 7.5 min. Quantification was performed by selected ion monitoring of [M+H]+ ions of norbuprenorphine glucuronide (590), norbuprenorphine (414), buprenorphine glucuronide (644) and buprenorphine (468). Naloxone (328) (328ng/mL) was used as an internal standard. The samples were processed by protein precipitation and extraction recovery was ≥95% with minimal observed matrix effects (
An LC-MS method has been developed for simultaneous quantification of buprenorphine and its three metabolites, namely norbuprenorphine, buprenorphine glucuronide, and norbuprenorphine glucuronide Chromatographic separation was achieved on a C18 column with a gradient of acetonitrile and ammonium acetate buffer (25 mM, pH 6.6). The method run time was 7.5 min. Quantification was performed by selected ion monitoring of [M+H]+ ions of norbuprenorphine glucuronide (590), norbuprenorphine (414), buprenorphine glucuronide (644) and buprenorphine (468). Naloxone (328) (328ng/mL) was used as an internal standard. The samples were processed by protein precipitation and extraction recovery was ≥95% with minimal observed matrix effects (
Moxidectin formulations help to reduce hair loss and irritation due to parasite worms in animals. So Estimation of Moxidectin in hair is important to evaluate therapeutic levels, distribution & accumulation, however estimation is also useful to evaluate harm to birds when they eat animal hair. Hence Moxidectin estimation is required for pharmacokinetic as well as environmental exposure study. Objective of the present work is to develop a rapid, selective method for the estimation of Moxidectin in Cattle Hair by LC-MS/MS. Oxcarbazepine used as a internal standard. Moxidectin extracted from cattle hair by liquid-liquid extraction using Sorenson’s Buffer as digestion solvent for incubation & methyl tert-butyl ether as an extraction solvent. Detection was performed over the range 0.026 to 1.000 ng/mG using MRM in positive polarity at unit resolution under turbo ion spray whereas separation was achieved on Kinetex 100 x 4.6 mm, 5u EVO C18 100A column with Methanol : 10mM Amonium formate pumped as gradient flow with 4.50min run time. Q1 is 640.45 whereas Q3 is sum of 528.50 and 498.50. Validation parameters shown reliable results. Method is applied for the estimation of Moxidectin in cattle Hair.
In this study we report on the use of a field-portable GC-MS with rapid sampling techniques such as solid-phase micro extraction, purge-and-trap, thermal desorption, and heated headspace to provide a fast response for in-field-SVOCs analyses for a wide variety of environmental-type samples including potable waters, tea, plants and road gravel. We will show that this field-portable approach can provide the required sensitivity, selectivity for the effective analysis of SVOCs with very high boiling points such as polycyclic aromatic hydrocarbon (PAHs), pesticides, phenolic compounds and phthalate esters in a number of different field-based samples, in less than 10 minutes.
A wireless NIR spectrometer is deployed on solid dose blending formulation for end-point monitoring. The MicroNIR PAT is democratizing the use NIR spectroscopy in pharmaceutical manufacturing facilitating Quality by Design (QbD) adoption.
Moxidectin formulations help to reduce hair loss and irritation due to parasite worms in animals. So Estimation of Moxidectin in hair is important to evaluate therapeutic levels, distribution & accumulation, however estimation is also useful to evaluate harm to birds when they eat animal hair. Hence Moxidectin estimation is required for pharmacokinetic as well as environmental exposure study. Objective of the present work is to develop a rapid, selective method for the estimation of Moxidectin in Cattle Hair by LC-MS/MS. Oxcarbazepine used as a internal standard. Moxidectin extracted from cattle hair by liquid-liquid extraction using Sorenson’s Buffer as digestion solvent for incubation & methyl tert-butyl ether as an extraction solvent. Detection was performed over the range 0.026 to 1.000 ng/mG using MRM in positive polarity at unit resolution under turbo ion spray whereas separation was achieved on Kinetex 100 x 4.6 mm, 5u EVO C18 100A column with Methanol : 10mM Amonium formate pumped as gradient flow with 4.50min run time. Q1 is 640.45 whereas Q3 is sum of 528.50 and 498.50. Validation parameters shown reliable results. Method is applied for the estimation of Moxidectin in cattle Hair.
In this study we report on the use of a field-portable GC-MS with rapid sampling techniques such as solid-phase micro extraction, purge-and-trap, thermal desorption, and heated headspace to provide a fast response for in-field-SVOCs analyses for a wide variety of environmental-type samples including potable waters, tea, plants and road gravel. We will show that this field-portable approach can provide the required sensitivity, selectivity for the effective analysis of SVOCs with very high boiling points such as polycyclic aromatic hydrocarbon (PAHs), pesticides, phenolic compounds and phthalate esters in a number of different field-based samples, in less than 10 minutes.
Moxidectin formulations help to reduce hair loss and irritation due to parasite worms in animals. So Estimation of Moxidectin in hair is important to evaluate therapeutic levels, distribution & accumulation, however estimation is also useful to evaluate harm to birds when they eat animal hair. Hence Moxidectin estimation is required for pharmacokinetic as well as environmental exposure study. Objective of the present work is to develop a rapid, selective method for the estimation of Moxidectin in Cattle Hair by LC-MS/MS. Oxcarbazepine used as a internal standard. Moxidectin extracted from cattle hair by liquid-liquid extraction using Sorenson’s Buffer as digestion solvent for incubation & methyl tert-butyl ether as an extraction solvent. Detection was performed over the range 0.026 to 1.000 ng/mG using MRM in positive polarity at unit resolution under turbo ion spray whereas separation was achieved on Kinetex 100 x 4.6 mm, 5u EVO C18 100A column with Methanol : 10mM Amonium formate pumped as gradient flow with 4.50min run time. Q1 is 640.45 whereas Q3 is sum of 528.50 and 498.50. Validation parameters shown reliable results. Method is applied for the estimation of Moxidectin in cattle Hair.
In this study we report on the use of a field-portable GC-MS with rapid sampling techniques such as solid-phase micro extraction, purge-and-trap, thermal desorption, and heated headspace to provide a fast response for in-field-SVOCs analyses for a wide variety of environmental-type samples including potable waters, tea, plants and road gravel. We will show that this field-portable approach can provide the required sensitivity, selectivity for the effective analysis of SVOCs with very high boiling points such as polycyclic aromatic hydrocarbon (PAHs), pesticides, phenolic compounds and phthalate esters in a number of different field-based samples, in less than 10 minutes.
Moxidectin formulations help to reduce hair loss and irritation due to parasite worms in animals. So Estimation of Moxidectin in hair is important to evaluate therapeutic levels, distribution & accumulation, however estimation is also useful to evaluate harm to birds when they eat animal hair. Hence Moxidectin estimation is required for pharmacokinetic as well as environmental exposure study. Objective of the present work is to develop a rapid, selective method for the estimation of Moxidectin in Cattle Hair by LC-MS/MS. Oxcarbazepine used as a internal standard. Moxidectin extracted from cattle hair by liquid-liquid extraction using Sorenson’s Buffer as digestion solvent for incubation & methyl tert-butyl ether as an extraction solvent. Detection was performed over the range 0.026 to 1.000 ng/mG using MRM in positive polarity at unit resolution under turbo ion spray whereas separation was achieved on Kinetex 100 x 4.6 mm, 5u EVO C18 100A column with Methanol : 10mM Amonium formate pumped as gradient flow with 4.50min run time. Q1 is 640.45 whereas Q3 is sum of 528.50 and 498.50. Validation parameters shown reliable results. Method is applied for the estimation of Moxidectin in cattle Hair.
A wireless NIR spectrometer is deployed on solid dose blending formulation for end-point monitoring. The MicroNIR PAT is democratizing the use NIR spectroscopy in pharmaceutical manufacturing facilitating Quality by Design (QbD) adoption.
Ion mobility–mass spectrometry (IM-MS) is outlined as a separations method, several examples of the utility of IM-MS for complex biological measurements are illustrated, and the implications of this approach for systems biology research are discussed.
This technical note describes features and functionality of Agilent MicroLab software (version 5.2 and later) in combination with SCM and SDA for data management and electronic traceability, which enable customers to implement the guidelines of 21 CFR Part 11.
This application note describes a very sensitive classification method, partial least squares–discriminant analysis (PLS-DA), incorporated in Agilent innovative MicroLab software, to classify and qualify materials of interest with greater sensitivity and specificity than possible with simple library search methods.