Backpropagation Neural Network-Based Prediction of Kovats Retention Index for Essential Oil Compounds
Aulia Al-Jihad Safhadi,
Teuku Rizky Noviandy,
Irvanizam Irvanizam
et al.
Abstract:The identification of chemical compounds in essential oils is crucial in industries such as pharmaceuticals, perfumery, and food. Kovats Retention Index (RI) values are essential for compound identification using gas chromatography-mass spectrometry (GC-MS). Traditional RI determination methods are time-consuming, labor-intensive, and susceptible to experimental variability. Recent advancements in data science suggest that artificial intelligence (AI) can enhance RI prediction accuracy and efficiency. However,… Show more
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