Seleksi Panjang Gelombang yang Efisien pada Nir Spectroscopy untuk Pengukuran Kandungan Padatan Terlarut Buah Salak Pondoh Menggunakan Model Forward Interval PLS (FiPLS)


  • Meinilwita Yulia Politeknik Negeri Lampung
  • Diding Suhandy



In this research, the feasibility of using NIR spectroscopy coupled with forward interval partial least squares (FiPLS) regression for nondestructive soluble solids content (SSC) determination in Pondoh snake fruit was investigated. Spectra of snake fruit were acquired using a VIS-NIR USB4000 portable spectrometer in absorbance mode. The SSC was measured using a digital refractometer.  The calibration and validation models were developed using the FiPLS regression using original spectra. The result showed that the optimal combinations of 7 spectral intervals among 11 intervals which selected by FiPLS yielded good results (RMSEC = 0.854783%, rc= 0.96, RMSECV = 0.899828%, rv = 0.95).  Keywords: soluble solids content, absorbance mode, nondestructive method, snake fruit, FiPLS regression, NIR spectroscopy


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Guthrie, J.A., and Walsh, K.B. 1997.Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy.Australian Journal of Experimental Agriculture, 37: 253–263.

Kleynen, O., and Leemans, V.M.F. 2003. Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting. Postharvest Biology and Technology, 30:221–232.

Leardi, R., and Nørgaard, L. 2004. Sequential application of backward interval PLS and genetic algorithms for the selection of relevant spectral regions. Journal of Chemometrics, 18(11) :486–497.

Maeda, H., Ozaki, Y., Tanaka, M., Hayashi, N., and Kojima, T. 1995. Near infrared spectroscopy and chemometrics studies of temperature-dependent spectral variations of water: relationship between spectral changes and hydrogen bonds. J. Near Infrared Spectroscopy, 3:191–201.

Malley, D.F., Yesmin, L., and Eilers, R.G. 2002. Rapid analysis of hog manure and manure-amended soils using near infrared spectroscopy. Soil Science Society of America Journal, 66: 1677‒1686.

McGlone, V.A., Jordan, R.B., Seelye, R., and Martinsen, P.J. 2002.Comparing density and NIR methods for measurement of kiwifruit dry matter and soluble solids content.Postharvest Biology and Technology,26:191–198.

Nørgaard, L., Saudland, A., Wagner, J., Nielsen, J.P., Munck, L., and Engelsen, S.B. 2000. Interval Partial Least Squares Regression (iPLS): a comparative chemometric study with an example from near-infrared spectroscopy. Applied Spectroscopy, 54: 413–419.

Peirs, A., Scheerlinck, N., and Nicolai, B. 2003.Temperature compensation for near infrared reflectance measurement of apple fruit soluble solids content.Postharvest Biology and Technology, 30: 233–248.

Saranwong, S., Sornsrivichai, J., and Kawano, S. 2003. Performance of a portable near infrared instrument for Brix value determination of intact mango fruit. J. Near Infrared Spectrosc. 11:175–181.

Subedi, P.P., Walsh, K.B., and Owens, G. 2007. Prediction of mango eating quality at harvest using short-wave near infrared spectrometry.Postharvest Biology and Technology, 43(3): 326–334.

Suhandy, D. 2009. Nondestructive measurement of soluble solids content in pineapple fruit using short wavelength near infrared (SW-NIR) spectroscopy. International Journal of Applied Engineering Research, 4(1): 107–114.

Suhandy, D., Yulia, M., Kuncoro, S., Rhinaldo, W., Kondo, N., and Ogawa, Y. 2010. The measurement of soluble solids content in snake fruit (Salacca Edulis Reinw) cv. pondoh using a portable spectrometer. Proceeding of IFAC AGRICONTROL. Kyoto, Japan.

Temma, T., Hanamatsu, K., and Shinoki, F. 2002.Development of a portable near infrared sugar-measuring instrument.J. Near Infrared Spectroscopy, 10: 77–83.

Ventura, M., De Jager, A., de PutterF, H., and RoelofsF, F.P.M.M. 1998.Nondestructive determination of soluble solids in apple fruit by near infrared spectroscopy (NIRS).Postharvest Biology and Technology, 14:21–27.

Walsh, K.B., Golic, M., and Greensiil, C.V. 2004. Sorting of fruit using near infrared spectroscopy: application to a range of fruit and vegetables for soluble solids and dry mater content. J. Near Infrared Spectroscopy, 12: 141–148.

Williams, P.C., and Sobering, D.C. 1996. How do we do it: a brief summary of the methods we use in developing near infrared calibrations. In: Davies, A.M.C.,Williams, P.C. (Eds.), Near Infrared Spectroscopy: The Future Waves. NIR Publications, Chichester, pp. 185–188.

Winarto, Yulia, M., and Suhandy, D. 2014. Penentuan Kadar Gula Buah Salak Secara Tidak Merusak Menggunakan Near Infrared (NIR) Spectroscopy dan Interval Partial Squares (iPLS) Regression. TekTan Jurnal Ilmiah Teknik Pertanian, 6(1): 1–9.

Xiaobo, Z., Jiewen, Z., Xingyi, H., and Yanxiao, L. 2007. Use of FT-NIR spectrometry in non-invasive measurements of soluble solid contents (SSC) of ‘Fuji’ apple based on different PLS models. Chemometrics and Intelligent Laboratory Systems, 87: 43–51.

Ying, Y.B., Liu, Y.D., Wang, J.P., Fu, X.P., and Li, Y.B. 2005a. Fourier transforms near-infrared determination of total soluble solids and available acid in intact peaches. J. Transaction of the ASAE, 48: 229–234.

Ying, Y.B., Liu, Y.D., and Tao, Y. 2005b. Nondestructive quantification of the soluble solids content and the available acidity of apples by Fourier-transform near-infrared spectroscopy. Applied Optics, 44(25): 5224–5229.




Cara Mengutip

Yulia, M., & Suhandy, D. (2014). Seleksi Panjang Gelombang yang Efisien pada Nir Spectroscopy untuk Pengukuran Kandungan Padatan Terlarut Buah Salak Pondoh Menggunakan Model Forward Interval PLS (FiPLS). Jurnal Ilmiah Teknik Pertanian - TekTan, 6(3), 143-154.