Omega-3 and Omega-6 Determination in Nile Tilapia’s Fillet Based on MicroNIR Spectroscopy and Multivariate Calibration

Santos, Dayane Aparecida dos; Coqueiro, Aline; Gonçalves, Thays R.; Carvalho, Jonathan Coimbra; Bezerra, Jailton S.; Matsushita, Makoto; Oliveira, Carlos Antônio Lopes de; Março, Paulo Henrique; Valderrama, Patrícia; Ribeiro, Ricardo Pereira

doi:10.21577/0103-5053.20200082

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Afseth et al (2022) menyampaikan Near-infrared spectroscopy (NIRS) banyak dimanfaatkan dalam industri minyak pangan untuk mengontrol kualitas dan memantau proses, serta memungkinkan pengurangan sampel dan biaya. Karunathilaka et al (2019) dan Santos et al (2020) menyampaikan aplikasi NIRS dalam menganalisis suplemen omega-3 marine oil dan kandungan omega-3 dan omega-6 pada fillet ikan. Selanjutnya Hespanhol et al (2020) menyampaikan bahwa teknologi NIRS genggam memiliki potensi untuk menganalisis minyak ikan, namun penggunaannya masih terbatas.…”

Section: Pendahuluanunclassified

Near-Infrared Genggam untuk Penilaian Mutu Minyak Ikan dari Mata Tuna Beku

Riyanto,

Tarman,

Trilaksini

et al. 2024

JAkI

View full text Add to dashboard Cite

Mutu minyak ikan kaya docosahexaenoic acid (DHA) memiliki keterkaitan yang signifikan dengan bahan baku mata tuna. Penanganan dan penyimpanan beku mata tuna masih dihadapkan pada kondisi yang belum optimal dan membutuhkan kepraktisan akan analisis terhadap kandungan minyak ikan. Near-infrared (NIRS) genggam menjadi alternatif potensial dalam menganalisis minyak ikan seiring perkembangan perangkat seluler modern. Tujuan penelitian adalah menentukan mutu (asam lemak bebas, bilangan peroksida) dan kandungan asam lemak minyak ikan dari mata tuna dengan kondisi penyimpanan beku menggunakan NIRS genggam. Penelitian mencakup penentuan karakteristik mata tuna pada kondisi penyimpanan beku, dilanjutkan dengan ekstraksi dan analisis mutu (asam lemak bebas, bilangan peroksida) serta kandungan asam lemak minyak ikan. Data yang diperoleh dikorelasikan dengan spektrum NIRS gengam menggunakan model kuadrat terkecil parsial (PLS). Hasil penelitian menunjukkan bahwa kandungan asam lemak bebas dan bilangan peroksida minyak ikan pada penyimpanan beku mata tuna 6 bulan adalah 8,39±3,47 % dan 180,3±13,31 mEq O2/kg, sementara pada penyimpanan beku 12 bulan adalah 3,43±0,69% dan 149,9±30,59 mEq O2/kg. Kandungan DHA minyak ikan pada kondisi penyimpanan beku mata tuna masihtetap tinggi, yaitu 25,49±0,03 % dan 26,16±1,30 %. Near-infrared genggam memberikan penilaian dan informasi relevan terhadap mutu minyak ikan dari kondisi penyimpanan beku mata tuna, sebagaimana ditunjukkan dengan nilai korelasi R2-Pearson DHA dan EPA, yaitu 0,98, serta nilai root mean squared error-RMSE untuk kalibrasi DHA adalah 0,08 dan EPA 0,02, sedangkan RMSE validasi DHA adalah 0,12 dan EPA 0,04.

show abstract

Section: Pendahuluanunclassified

Near-Infrared Genggam untuk Penilaian Mutu Minyak Ikan dari Mata Tuna Beku

Riyanto,

Tarman,

Trilaksini

et al. 2024

JAkI

View full text Add to dashboard Cite

show abstract

“…Some authors, such as Bekhit et al and van der Merwe et al [22,23], have studied NIR to analyze PUFAs in ω-3 supplements. Others, including dos Santos et al, analyzed the ω-3 and omega-6 (ω-6) content directly in fish fillets [24]. Other techniques, such as FT-NIR, were used by Karunathilaka et al and Cascant et al [14,25] to analyze omega-3 supplements and salmon.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Oil Valorization Extracted from Fish By-Products Using a Handheld near Infrared Spectrometer Coupled with Chemometrics

Nieto-Ortega

Olabarrieta

Saitua

et al. 2022

Foods

View full text Add to dashboard Cite

A handheld near infrared (NIR) spectrometer was used for on-site determination of the fatty acids (FAs) composition of industrial fish oils from fish by-products. Partial least square regression (PLSR) models were developed to correlate NIR spectra with the percentage of saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), polyunsaturated fatty acids (PUFAs) and, among them, omega-3 (ω-3) and omega-6 (ω-6) FAs. In a first step, the data were divided into calibration validation datasets, obtaining good results regarding R2 values, root mean square error of prediction (RMSEP) and bias. In a second step, all these data were used to create a new calibration, which was uploaded to the handheld device and tested with an external validation set in real time. Evaluation of the external test set for SFAs, MUFAs, PUFAs and ω-3 models showed promising results, with R2 values of 0.98, 0.97, 0.97 and 0.99; RMSEP (%) of 0.94, 1.71, 1.11 and 0.98; and bias (%) values of −0.78, −0.12, −0.80 and −0.67, respectively. However, although ω-6 models achieved a good R2 value (0.95), the obtained RMSEP was considered high (2.08%), and the bias was not acceptable (−1.76%). This was corrected by applying bias and slope correction (BSC), obtaining acceptable values of R2 (0.95), RMSEP (1.09%) and bias (−0.05%). This work goes a step further in the technology readiness level (TRL) of handheld NIR sensor solutions for the fish by-product recovery industry.

show abstract

Applications of Near-Infrared Spectroscopy (NIRS) in Fish Value Chain

Nieto-Ortega¹,

Lara²,

Foti³

et al. 2023

Infrared Spectroscopy - Perspectives and Applications

View full text Add to dashboard Cite

Near-infrared spectroscopy (NIRS) has undergone a significant evolution in the last years due to the numerous scientific studies that revealed its potential for industrial applications, attracting a growing interest in the food sector. Furthermore, new advances have allowed the reduction in size and cost of the NIR devices, making them appropriate for on-site determinations. The complex structure of the fish value chain, combined to its high market value, makes this sector particularly vulnerable to fraud and adulteration practices. Also, the perishable nature of fish and fish products, as well as the lack of traceability, arises the urgent need for a fast, reliable and portable tool capable of precisely characterizing the quality and authenticity of the product while also ensuring its safety. In this chapter, the capabilities of NIRS combined to several chemometric techniques for quality, authenticity and safety applications are presented through an extensive review of the most recent research works.

show abstract

Omega-3 and Omega-6 Determination in Nile Tilapia’s Fillet Based on MicroNIR Spectroscopy and Multivariate Calibration

Cited by 3 publications

References 0 publications

Near-Infrared Genggam untuk Penilaian Mutu Minyak Ikan dari Mata Tuna Beku

Near-Infrared Genggam untuk Penilaian Mutu Minyak Ikan dari Mata Tuna Beku

Improvement of Oil Valorization Extracted from Fish By-Products Using a Handheld near Infrared Spectrometer Coupled with Chemometrics

Applications of Near-Infrared Spectroscopy (NIRS) in Fish Value Chain

Contact Info

Product

Resources

About