Analisa Gula Kristal Putih Secara Cepat Menggunakan Near Infrared Spectroscopy

Opal Priya Wening

Abstract


Near infrared spectroscopy (NIRS) merupakan metode alternatif untuk menganalisa parameter sampel yang lebih cepat. Pada penelitian ini, NIRS akan digunakan sebagai penentuan kualitas gula kristal putih (GKP) dengan parameter penting seperti pol, warna, susut pengeringan, dan berat jenis butiran. Sampel gula yang digunakan berasal dari laboratorium P3GI. Instrumen NIRS menggunakan FOSS XDS rapid content analysis, kemudian model yang dibangun menggunakan metode kalibrasi partial least square (PLS). Hasil NIRS dievaluasi dengan standar: nilai korelasi R2 dan r2 yang mendekati 1, error SEC yang rendah, dan rasio RPD yang tinggi. Penelitian menghasilkan nilai untuk pol (%): R2 = 0,970, SEC = 0,023, r2 = 0,496, RPD = 1,152; warna (IU):  R2 = 0,970, SEC = 12,305, r2 = 0,757, RPD = 1,529; susut pengeringan (%): R2 = 0,973, SEC = 0,004, r2 = 0,789, RPD = 1,601; dan berat jenis butiran (mm): R2 = 0,954, SEC = 0,038, r2 = 0,407, RPD = 0,997. Berdasarkan hasil evaluasi tersebut metode NIRS berpotensi sebagai analisa kualitas gula kristal putih dengan model yang dibangun tergolong sebagai pendahuluan.


Keywords


NIRS, gula kristal putih, analisa kualitas gula

Full Text:

PDF

References


Badan Standarisasi Nasional. (2020). Standar Nasional Indonesia 3140.3:2020 Gula Kristal Putih (Plantation White Sugar) Gula kristal - Bagian 3 : Putih. 1–17.

Bevin, C., Staunton, S., Stobie, R., & Kingston, J. (2002). On-line use of near infrared spectroscopy in a sugar analysis system (SAS). 24.

Blanco, M., & Villarroya, I. (2002). NIR spectroscopy: a rapid-response analytical tool. TrAC - Trends in Analytical Chemistry, 21(4), 240–250.

Brotherton, G., & Berding, N. (1995). Near infra-red spectroscopic applications for milling: prospects and implications. Proc Aust Soc Sugar Cane Technol, 13, 21–29.

Carlsson, A. E., & Janné, K. L.-R. (1995). Near-infrared spectroscopy as an alternative to biological testing for quality control of hyaluronan: comparison of data preprocessing methods for classification. Applied Spectroscopy, 49(7), 1037–1040.

Cattaneo, T. M. P., & Holroyd, S. E. (2013). New applications of near infrared spectroscopy on dairy products. Journal of Near Infrared Spectroscopy, 21(5), 307–310.

Day, M., & Fearn, F. (1982). Near infrared reflectance as an analytical technique part 1: history and development. Laboratory Practice, 31, 328–330.

Dodds, S. A., & Heath, W. P. (2005). Construction of an online reduced-spectrum NIR calibration model from full-spectrum data. Chemometrics and Intelligent Laboratory Systems, 76(1), 37–43.

Donald, D. A., Graham, B. E. N. G., Staunton, S. P., Simpson, J. M., & Shea, M. G. O. (2013). Routine data generation for sugar mill and refinery applications using a laboratory-based near infrared (NIR) instrument. 35, 1–9.

Kuswurjanto, R., & Triantarti. (2019). Study on application of near infrared (NIR) spectroscopy for sugar cane juice analysis to replace conventional analysis methods. IOP Conference Series: Earth and Environmental Science, 355(1).

Kuswurjanto, R., Triantarti, & Wening, O. (2019). Application of near infrared spectroscopy to determine sugarcane quality in core sampler system. The Second International Conference on Food and Agriculture, 399–406.

Larrechi, M. S., & Callao, M. P. (2003). Strategy for introducing NIR spectroscopy and multivariate calibration techniques in industry. TrAC - Trends in Analytical Chemistry, 22(9), 634–640.

Lebot, V., Champagne, A., Malapa, R., & Shiley, D. (2009). NIR determination of major constituents in tropical root and tuber crop flours. Journal of Agricultural and Food Chemistry, 57(22), 10539–10547.

Nicolaï, B. M., Beullens, K., Bobelyn, E., Peirs, A., Saeys, W., Theron, K. I., & Lammertyn, J. (2007). Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review. Postharvest Biology and Technology, 46(2), 99–118.

O’Shea, M. G., Staunton, S. P., Donald, D., & Simpson, J. (2011). Developing laboratory near infra-red (NIR) instruments for the analysis of sugar factory products. 33rd Annual Conference of the Australian Society of Sugar Cane Technologists 2011, ASSCT 2011, 33, 278–285.

Pasquini, C. (2003). Near infrared spectroscopy: fundamentals, practical aspects and analytical applications. Journal of the Brazilian Chemical Society, 14(2), 198–219.

Rinnan, Å., Berg, F. van den, & Engelsen, S. B. (2009). Review of the most common pre-processing techniques for near-infrared spectra. TrAC - Trends in Analytical Chemistry, 28(10), 1201–1222.

Rodriguez-Saona, L. E., Khambaty, F. M., Fry, F. S., & Calvey, E. M. (2001). Rapid detection and identification of bacterial strains by fourier transform near-infrared spectroscopy. Journal of Agricultural and Food Chemistry, 49(2), 574–579.

Samadi, Wajizah, S., & Munawar, A. A. (2018). Rapid and simultaneous determination of feed nutritive values by means of near infrared spectroscopy. Tropical Animal Science Journal, 41(2), 121–127.

Staunton, S., Lethbridge, P., Grimley, S., Streamer, R., Rogers, J., & Mackintosh, D. (1999). On-line analysis cane analysis by near infra-red spectroscopy. Proceedings of The Australian Society of Sugar Cane Technologists, 21, 20–27.

Staunton, S., & Wardrop, K. (2006). Development of an online bagasse analysis system using NIR spectroscopy. Proceedings of The Australian Society of Sugar Cane Technologists, 28, 446–453.




DOI: https://doi.org/10.54256/isrj.v1i2.54

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Editorial Office:
Pusat Penelitian Perkebunan Gula Indonesia
Jl.Pahlawan Nomor 25 Pasuruan 67126, Indonesia
Telp:+62 0343 421086 ; Fax: +62 0343 421178
Email: p3gipasuruanok@gmail.com; web perusahaan:http://www.p3gi.co.id


Creative Commons License
Indonesian Sugar Research Journal (ISRJ) is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.