Banana ripeness analysis using reluctance and photoluminescence
ABSTARCT :
Bananas are favorite tropical fruit since bananas contain source of nutrition. In the industry, the banana ripeness is a mayor issue for harvesting. It is a challenge if we have a good simple instrument for determining ripeness of bananas. In this work, we utilized two optical measurement systems for detecting ripeness of bananas, i.e., reflectance and photoluminescence. The reflectance spectrum results show decrease intensity at 675 nm which is chlorophyll reflectance from green bananas to ripe bananas. This result is corresponding with the absorbance spectrum which’s shows decrease absorption at a wavelength 675 nm. The photoluminescence results show that when banana is excited with laser 405 nm the emission spectra shows blue luminescence at 495 nm and red luminescence at 700 nm. Green bananas show low blue luminescence and strong red luminescence. While ripe bananas shows strong blue luminescence and weak red luminescence. Blue luminescence is according to phenolic acid emission and red luminescence is according to clorophyll emission. Using only banana peel and characteristics of the spectrum, we can distinguish ripeness of banana. Our simple measurement systems are potential for detecting bananas in the field and can be used in banana industries.
EXISTING SYSTEM :
During ripening, the pigment content, starch index and sugar content of banana fruit change, providing accurate indicators for maturity classification. However,
At present, banana fruits are traded according to their color stage.
DISADVANTAGE :
? This decrease in chlorophyll content may therefore be considered as an indicator of the banana fruit maturity.
? While this method is inexpensive and nondestructive, visual methods are influenced by subjective perception. However, chemical analyses performed in research are not applicable for rapid monitoring of single fruit.
PROPOSED SYSTEM :
This study is aimed at investigating a non-destructive, rapid instrumental method to measure fruit maturity and quality more precisely. Materials and methods. Musa cavendisbii L. grown in Honduras were ripened in a commercial ripening chamber and selected at four different color stages. Visible (VIS) and near-infrared spectroscopy (NIRS) in reflectance mode were investigated for the non-destructive detection of fruit chlorophyll and sugar contents. Partial least squares (PLS) regression was applied to auto-scaled spectral data. Reference analyses were performed using spectrophotometer after a diethyl ether extraction of chlorophyll and high performance liquid chromatography for individual sugar analysis.
ADVANTAGE :
? This suggestion, non-destructive chlorophyll prediction was achieved with high accuracy, when applied to apple fruit.
? However, such measurements aimed at determining banana fruit maturity have not been described in the literature until now.
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