scholarly journals Formulation of Green Varnish from Ecological Friendly Material for the Development of Offset Printing Ink

2014 ◽  
Vol 67 (2) ◽  
Author(s):  
Zuhaili Idham ◽  
Mohd Azizi Che Yunus ◽  
Mustafa Kamal Abdul Aziz ◽  
Siti Hamidah Mohd Setapar ◽  
Hasanah Mohamad
Keyword(s):  
Organic Compound ◽  
Palm Oil ◽  
Palm Olein ◽  
Raw Materials ◽  
Printing Industry ◽  
Offset Printing ◽  
Yield Value ◽  
Volatile Organic ◽  
Different Types ◽  
Printing Ink

The extensive use of petroleum product has caused a number of environmental pollution. The printing industry is one of our nation’s largest producers of hazardous waste and volatile organic compound. One of the major alternatives is to use vegetable oil based products as biorenewable raw materials. Hence, the formulation of palm olein based varnish has been discussed in the present study. Palm olein from palm oil was prepared first, and their physical properties were determined. Varnishes were prepared with the palm olein and four different types of resin (F-2136, F-210, F-2110 and F-2118). Rheological properties, yield value, heptanes tolerance of the varnish were determined. From this study, it was found that palm olein with the F-210 resin is promising as the alternative varnish materials for the production of offset printing ink.

scholarly journals Determining the Geographical Origin of Crude Palm Oil with the Combined Use of GC-IMS Fingerprinting and Chemometrics

2020 ◽  
Author(s):  
Kirstie Goggin ◽  
Emma Brodrick ◽  
Alfian Nur Wicaksono ◽  
James Covington ◽  
Antony N Davies ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Organic Compound ◽  
Palm Oil ◽  
Volatile Organic Compound ◽  
Geographical Origin ◽  
Peninsular Malaysia ◽  
Support Vector ◽  
Crude Palm Oil ◽  
Sparse Logistic Regression ◽  
Volatile Organic

<p>Current administrative controls used to verify geographical provenance within palm oil supply chains require enhancement and strengthening by more robust analytical methods. In this study, the application of volatile organic compound fingerprinting, in combination with five different analytical classification models, has been used to verify the regional geographical provenance of crude palm oil samples. For this purpose, 108 crude palm oil samples were collected from two regions within Malaysia, namely Peninsular Malaysia (32) and Sabah (76). Samples were analysed by gas chromatography-ion mobility spectrometry (GC-IMS) and the five predictive models (Sparse Logistic Regression, Random Forests, Gaussian Processes, Support Vector Machines, and Artificial Neural Networks) were built and applied. Models were validated using 10-fold cross-validation. The Area Under Curve (AUC) measure was used as a summary indicator of the performance of each classifier. All models performed well (AUC 0.96) with the Sparse Logistic Regression model giving best performance (AUC = 0.98). This demonstrates that the verification of the geographical origin of crude palm oil is feasible by volatile organic compound fingerprinting, using GC-IMS supported by chemometric analysis. </p>

scholarly journals Determining the Geographical Origin of Crude Palm Oil with the Combined Use of GC-IMS Fingerprinting and Chemometrics

2020 ◽  
Author(s):  
Kirstie Goggin ◽  
Emma Brodrick ◽  
Alfian Nur Wicaksono ◽  
James Covington ◽  
Antony N Davies ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Organic Compound ◽  
Palm Oil ◽  
Volatile Organic Compound ◽  
Geographical Origin ◽  
Peninsular Malaysia ◽  
Support Vector ◽  
Crude Palm Oil ◽  
Sparse Logistic Regression ◽  
Volatile Organic

<p>Current administrative controls used to verify geographical provenance within palm oil supply chains require enhancement and strengthening by more robust analytical methods. In this study, the application of volatile organic compound fingerprinting, in combination with five different analytical classification models, has been used to verify the regional geographical provenance of crude palm oil samples. For this purpose, 108 crude palm oil samples were collected from two regions within Malaysia, namely Peninsular Malaysia (32) and Sabah (76). Samples were analysed by gas chromatography-ion mobility spectrometry (GC-IMS) and the five predictive models (Sparse Logistic Regression, Random Forests, Gaussian Processes, Support Vector Machines, and Artificial Neural Networks) were built and applied. Models were validated using 10-fold cross-validation. The Area Under Curve (AUC) measure was used as a summary indicator of the performance of each classifier. All models performed well (AUC 0.96) with the Sparse Logistic Regression model giving best performance (AUC = 0.98). This demonstrates that the verification of the geographical origin of crude palm oil is feasible by volatile organic compound fingerprinting, using GC-IMS supported by chemometric analysis. </p>

Pilot plant plasma-catalytic system for the decomposition of a volatile organic compound

2016 ◽  
Vol 15 (3) ◽  
pp. 251-259
Author(s):  
Shreedhar Devkota ◽  
◽  
Jin Oh Jo ◽  
Dong Lyong Jang ◽  
Young Jin Hyun ◽  
...  
Keyword(s):  
Organic Compound ◽  
Catalytic System ◽  
Volatile Organic Compound ◽  
Pilot Plant ◽  
Volatile Organic
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