In the last decade, the use of multivariate statistical techniques developed for analytical
chemistry has been adopted widely in food science and technology. Usually, chemometrics …

Data analysis has become a fundamental task in analytical chemistry due to the great
quantity of analytical information provided by modern analytical instruments. Supervised …

This study focused on the pattern recognition of Malaysian air quality based on the data
obtained from the Malaysian Department of Environment (DOE). Eight air quality parameters …

The challenge of maintaining both quality and safety in the thermal processing of foods
results from the degradation of heat-sensitive quality attributes during processing. The editor …

This paper attempted to evaluate chicken freshness using a low-cost colorimetric sensor
array with the help of a classification algorithm. We fabricated a novel and low-cost …

Contamination of groundwater is one of the major health concerns in the rapidly urbanizing
and industrializing world. Since groundwater is one of the most important resources for the …

In this research, we developed a novel method of quantitative analysis to increase the
detection potential for screening and classification of skin cancer (melanoma). We fused two …

Near infrared (NIR) spectroscopy combined with multivariate calibration was attempted to
analyze free amino acid content of Radix Pseudostellariae. The original spectra of …

The validity of a processing technique, based on feature selection and artificial neural
networks, when applied to arc-welding on-line quality monitoring is analyzed. An optical …

To pursue optimal comprehensive economic benefit, the process operating performance
assessment on optimality becomes more and more critical for industrial processes. In this …