Prediksi Kadar Total Padatan Terlarut (TPT) dan Vitamin C Buah Mangga Arumanis (Mangifera indica L) Menggunakan Near Infrared Spectroscopy (NIRS) dengan Metode Partial Least Square (PLS)

Salman Rivaldi, Yuswar Yunus, Agus Arip Munawar

Abstract


Abstrak. Total padatan terlarut (TPT) dan vitamin C merupakan suatu komponen penting dalam mangga. Total padatan terlarut (TPT) merupakan total unsur atau elemen mineral yang terlarut didalam suatu larutan. TPT disebut juga dengan kadar gula total, karena  kualitas rasa  manis dari buah diukur dengan pengukuran kadar gula. Vitamin C merupakan vitamin yang larut dalam air dan esensial untuk biosintesis kolagen. Pengukuran TPT dapat dilakukan menggunakan alat refraktometer, sedangkan vitamin C diukur menggunakan metode titrasi, serta dengan penggunaan gelombang elektromagnetik seperti NIRS. Penelitian ini bertujuan menguji dan mengevaluasi teknologi NIRS sebagai metode cepat dan tepat dalam memprediksi kandungan TPT dan vitamin C pada mangga dengan metode Partial Least Squares (PLS) serta menentukan metode koreksi spektrum yang terbaik dan akurat untuk memprediksi TPT dan vitamin C pada mangga dengan menggunakan pre-treatment Baseline Correction, dan Multiplicative Scatter Correction (MSC). Penelitian ini menggunakan buah mangga jenis Arumanis, yang berjumlah 30 sampel. Prediksi TPT dan vitamin C dengan NIRS menggunakan alat FT-IR IPTEK T-1516. Pengolahan data menggunakan Unscramble software® X version 10.5. Hasil penelitian menunjukkan prediksi TPT pada mangga dengan metode Partial Least Squares (PLS) menghasilkan sufficient performance dengan nilai RPD yang didapat yaitu 1,29 dan metode koreksi terbaik pada pendugaan TPT ialah Baseline Correction dengan nilai RPD 1,53, r sebesar 0,4783 , R2 sebesar 0,5600 dan RMSEC sebesar 2,9048. Sedangkan hasil prediksi vitamin C pada mangga menghasilkan good model performance dengan nilai RPD yang didapat yaitu 2,18 dan metode koreksi terbaik pada pendugaan vitamin C ialah MSC dengan nilai RPD 2,36, r sebesar 0,9026, R2 sebesar 0,8147 dan RMSEC sebesar 4,4067.

Prediction of Soluble Solids Content (SSC) and Vitamin C on Mangoes (Mangifera Indica L) Using Near Infrared Spectroscopy (NIRS) with Partial Least Square (PLS) Method

Abstract. Soluble solids content (SSC) and vitamin C are important components in mangoes. Soluble solids content (SSC) is the total element or mineral element dissolved in a solution. SSC is also called total sugar content, because the quality of the sweet taste of the fruit is measured by measuring the total sugar. Vitamin C is a water-soluble vitamin and essential for collagen biosynthesis. Measurement of SSC can be done using a refractometer, while vitamin C is measured using the titration method, and by the use of electromagnetic waves such as NIRS. This study aims to test and evaluate NIRS technology as a fast and appropriate method in predicting the content of SSC and vitamin C in mangoes using the Partial Least Squares (PLS) method and determining the best and accurate spectrum correction method to predict SSC and vitamin C in mango by using pre-treatment Baseline Correction, and Multiplicative Scatter Correction (MSC). This study used Arumanis mangoes, which amounted to 30 samples. Prediction of TPT and vitamin C with NIRS using FT-IR tool of Science and Technology T-1516. Processing data using the Unscramble software® X version 10.5. The results showed that the prediction of SSC on mangoes using the Partial Least Squares (PLS) method resulted in sufficient performance with the obtained RPD value is 1,29 and the best correction method in estimating SSC is Baseline Correction with a value of RPD is 1,53, r is 0,4783, R2 is 0,5600 and RMSEC is 2,9048. While the prediction results of vitamin C on mangoes obtain a good performance model with the value of RPD obtained is 2,18 and the best correction method for estimating vitamin C is MSC with a value of RPD is 2,36, r is 0,9026, R2 is 0,8147 and RMSEC is 4,4067.


Keywords


NIRS; PLS; Pretreatment; Baseline Correction; MSC ;

Full Text:

PDF

References


Andasuryani, Purwanto Y.A., I.W. Budiastra, and K. Syamsu. 2014. Determination of catechin content in gambir powder from dried gambir leaves quickly using FT NIR PLS model. International Advanced Science Engineering Information Technology. 4(5): 2088- 5334.

Badan Pusat Statistik dan Direktorat Jendral. 2017. Produksi Mangga Menurut Provinsi Tahun 2013-2017. Kementrian Pertanian Republik Indonesia.

Cen, H dan Y. He. 2007. Theory and application of near inrfrared reflectance spectroscopy in determination of food quality. J. Trends in Food Sci & Technol 18: 72-83.

Florez, K., M.T. Sanchez, D. Perez-Marin, J.E. Guerrero, and A.G. Varo. 2009. Feasibility in NIRS Instrument for predicting internal quality in intact tomato. Journal Food Engineering. 91:311-318.

Jha, S.N., A.R.P. Kinsly, and S. Chopra. 2006. Non-destruktif determination of firmness and yellowness of mango during growth and storage using visual spectroscopy. Journal Biosystem Engineering. 94:397-402

Mohsenin N.N. 1984. Electromagnetic Radiation Properties of Foods and Agricultural Products. Gordon and Breach Science Publishers. United Kingdom (UK).

Mouazen A.M., W. Saeys, J. Xing, De Baerdemaeker, J and H. Ramon. 2005. Near infrared spectroscopy for agricultural materials: an instrument comparison. Journal of Near Infrared Spectroscopy. 13: 87-97.

Munawar, A.A. 2008. Non-destruktif inner quality prediction in intact mangos with nirs methods [Thesis]. Goettingen: Georg-August University.

Munawar, A.A., D.v. Hoersten, E. Pawelzik, J.K. Wegener and D. Moerlein. 2013. Prediction of quality attributes using near infrared spectroscopic data combined with multivariate analysis. Annual Conference 33rd Gesselschaft Fuer Informatik (German Association of Informatics Enginner). Potsdam, 20-22 February 2013.

Nicolai, B.M., K. Beullens, E. Bobelyn, A. Peirs, W. Saeys, K.I. Theron and J. Lammertyn. 2007. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A Review. Postharvest Biology and Technology. 46: 99-118.

Osborne, B.G., T. Fearn, and P.H. Hindle. 1993. Partical NIR Spectroscopy With Applications In Food And Beverage Analysis. Ed ke-2. Longman Scientific Technical. New York.

Slamet, S., H. Bambang, dan Suhardi. 1989. Analisa Bahan Makanan dan Pertanian. Liberty Yogyakarta dan Universitas Gadjah Mada. Yogyakarta.

Xudong, S., Z. Hailiang, and L. Yande. 2009. Nondestructive assessment of quality of nanfeng mandarin fruit by a portable near infrared spectroscopy. International Journal of Agricultural and Biological Engineering. 2 (1):65–71.

Zulfahrizal., A.A. Munawar dan H. Meilina. 2016. Estimasi kandungan lemak pada biji kakao utuh secara cepat dan non-destruktif dengan menggunakan teknologi NIRS. Jurnal Otomasi, Kontrol dan Instrumentasi. Vol. 8(1). Hal 17.




DOI: https://doi.org/10.17969/jimfp.v4i2.10916

Refbacks

  • There are currently no refbacks.


 


JIM Agribisnis|JIM Agroteknologi|JIM Peternakan|JIM Teknologi Hasil Pertanian|JIM Teknik Pertanian|
JIM Ilmu Tanah|JIM Proteksi Tanaman|JIM Kehutanan


E-ISSN: 2614-6053 2615-2878 Statistic Indexing | Citation


Alamat Tim Redaksi:
Fakultas Pertanian,Universitas Syiah Kuala
Jl. Tgk. Hasan Krueng Kalee No. 3, Kopelma Darussalam,
Banda Aceh, 23111, Indonesia.
Email:jimfp@unsyiah.ac.id