Analisis Lisin Tersedia pada Tepung Bulu Ayam secara Near Infrared Spectroscopy dan Ultra Performance Liquid Chromatography

Abstract

Penelitian ini bertujuan mengevaluasi metode near infrared spectroscopy (NIRS) untuk penetapan lisin tersedia pada tepung bulu ayam di PT Charoen Pokphand Indonesia. Metode NIRS dibandingkan dengan ultra performance liquid chromatography (UPLC) sebagai referensi, dengan fokus pada optimasi preprocessing dan validasi model. Hasil standard normal variate dan detrend (1,4,4,1) menunjukkan performa terbaik dengan koefisien determinasi (R²) 0,9985, SEP 0,185, dan RMSEP 0,183. Hasil validasi eksternal mengonfirmasi akurasi model melalui kesesuaian tinggi antara nilai prediksi dan referensi 98,7% sampel berada dalam batas control line. Nilai least significant bit konsisten sebesar 0,54, menunjukkan presisi instrumen yang optimal. Penelitian ini membuktikan NIRS sebagai metode alternatif yang cepat, non-destruktif, dan memenuhi standar ISO 12099:2017 untuk analisis rutin, dengan potensi penghematan waktu dan biaya dibandingkan metode konvensional. Implikasi praktisnya mencakup peningkatan efisiensi kontrol kualitas pakan ternak berbasis limbah unggas.

This study aimed to evaluate the near infrared spectroscopy (NIRS) method for the determination of lisin tersedia in chicken feather meal at PT Charoen Pokphand Indonesia. The NIRS method was compared with ultra performance liquid chromatography (UPLC) as a reference, focusing on preprocessing optimization and model validation. Five variations of preprocessing were tested, the combination of standard normal variate and detrend (1,4,4,1) showed the best performance with a coefficient of determination (R²) of 0.9985, SEP 0.185, and RMSEP 0.183. External validation results confirmed the accuracy of the model through high agreement between predicted and reference values, with 98.7% of samples within the control line limits. Least significant bit value was consistently 0.54, indicating optimal instrument precision. This study proved NIRS as a fast, non-destructive, and ISO 12099:2017 compliant alternative method for routine analysis, with the potential for time and cost savings compared to conventional methods. Practical implications included increasing the efficiency of quality control of poultry waste-based animal feed.