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Since bamboo leaves contain various polyphenols, including phenolic acids, they have recently been used for tea extract products. To evaluate the quality of tea extract, rapid estimation of the antioxidant activity of tea extract is essential. This study proposed Fourier Transform Infrared Spectroscopy (FT-NIR) combined with partial least squares (PLS) regression to estimate antioxidant activities as a new quality control technique measure. Total polyphenol content (TPC), DPPH radical scavenging activity (DPPH), and ABTS radical scavenging (ABTS) activity were measured as antioxidant activity potential. To increase the accuracy of the PLS model, the NIR spectrum is preprocessed using the standard normal variate (SNV) and multiplicative scattering correction (MSC) methods. The best calibration model accuracy is obtained using the MSC preprocessed spectrum. The RC2 values of the TPC, DPPH, and ABTS were 0.6789, 0.7973, and 0.7551, respectively. These results of the MSC preprocessed spectrum indicated that the antioxidant activities of bamboo leave extracts could be estimated using PLS models and FT-NIR detection.
