AI Medical Compendium Journal:
Analytical sciences : the international journal of the Japan Society for Analytical Chemistry

Showing 1 to 9 of 9 articles

Estimation of the average molecular weight of microbial polyesters from FTIR spectra using artificial intelligence.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
In this paper, we present a method for calculating the average molecular weight of microbial polyesters using Fourier transform infrared spectroscopy (FTIR) data as input. FTIR spectra provide the necessary quantitative information, as the impact of ...

Antibiotic SERS spectral analysis based on data augmentation and attention mechanism strategy.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
The analysis of Raman spectrum data has gradually transitioned into the era of machine learning. However, it is still constrained by the challenge of acquiring large volumes of raw data and the issue of losing characteristic information from spectral...

Artificial neural network in optimization of bioactive compound extraction: recent trends and performance comparison with response surface methodology.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Plant products and its by-products are rich source of bioactive compounds like antioxidants, flavonoids, phenolics, pigments and phytochemicals. Bioactive compound's health-promoting properties are well studied. However, optimal extraction of bioacti...

Comparative study of machine-and deep-learning based classification algorithms for biomedical Raman spectroscopy (RS): case study of RS based pathogenic microbe identification.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
One key aspect pushing the frontiers of biomedical RS is dedicated machine- or deep- learning (ML or DL) algorithms. Yet, systematic comparative study between ML and DL algorithms has not been conducted for biomedical RS, largely due to the limited a...

Predicting the wicking rate of nitrocellulose membranes from recipe data: a case study using ANN at a membrane manufacturing in South Korea.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Lateral flow assays have been widely used for detecting coronavirus disease 2019 (COVID-19). A lateral flow assay consists of a Nitrocellulose (NC) membrane, which must have a specific lateral flow rate for the proteins to react. The wicking rate is ...

Deep learning approach for prediction and classification of potable water.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Potable water, commonly known as drinking water, refers to water that is safe to drink and does not endanger human health. It must adhere to strict quality standards set by health organizations, be devoid of dangerous pollutants and chemicals, and me...

Rapid estimation approach for glycosylated serum protein of human serum based on the combination of deep learning and TD-NMR technology.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Rapid and precise estimation of glycosylated serum protein (GSP) of human serum is of great importance for the treatment and diagnosis of diabetes mellitus. In this study, we propose a novel method for estimation of GSP level based on the combination...

Study on the classification and identification of various carbonate and sulfate mineral medicines based on Raman spectroscopy combined with PCA-SVM algorithm.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
The efficacy of mineral medicines varies greatly between different origins. Therefore, investigating a method to quickly identify similar mineral medicines is meaningful. In this paper, a visual classification and identification model of Raman spectr...

Unlocking the potential of bioanalytical data through machine learning.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry