Rahman Md Mizanur, Shibata Mario, ElMasry Gamal, Nakazawa Naho, Nakauchi Shigeki, Hagiwara Tomoaki, Osako Kazufumi, Okazaki Emiko
a Department of Food Science and Technology , Tokyo University of Marine Science and Technology , Tokyo , Japan.
b Department of Fisheries Technology , Patuakhali Science and Technology University , Patuakhali , Bangladesh.
Biosci Biotechnol Biochem. 2019 May;83(5):901-913. doi: 10.1080/09168451.2019.1569494. Epub 2019 Jan 30.
The present study was conducted to characterize fluorophores in the fish body using three-dimensional fluorescence fingerprints (3D-FFs) and to utilize these 3D-FFs obtained from frozen horse mackerel (Trachurus japonicus) fillets to predict early post-mortem changes. Alive fish were sacrificed instantly, preserved in ice until 2 days, and then filleted, vacuum packed, and frozen. Subsequently, 3D-FFs of the frozen fillets were acquired using F-7000 aided with a fiber probe. Post-mortem freshness changes were tracked by measuring adenylate energy charge (AEC) values and nicotinamide adenine dinucleotide (NAD and NADH) content. Partial least squares regression models for predicting AEC values and NADH content in frozen fish meat showed good fittings, with R of 0.90 and 0.85, by utilizing eight and five excitation wavelengths, respectively, based on their fluorescence features acquired from standard fluorophores. This novel approach of 3D-FFs could be utilized as an efficient technique for at-line monitoring of frozen fish quality.
本研究旨在利用三维荧光指纹图谱（3D-FFs）对鱼体中的荧光团进行表征，并利用从冻竹荚鱼（Trachurus japonicus）鱼片获得的这些3D-FFs来预测死后早期变化。将活鱼立即宰杀，在冰中保存至2天，然后切片、真空包装并冷冻。随后，使用配备光纤探头的F-7000获取冷冻鱼片的3D-FFs。通过测量腺苷酸能量电荷（AEC）值和烟酰胺腺嘌呤二核苷酸（NAD和NADH）含量来跟踪死后新鲜度变化。基于从标准荧光团获得的荧光特征，分别利用八个和五个激发波长，预测冻鱼肉中AEC值和NADH含量的偏最小二乘回归模型显示出良好的拟合效果，R分别为0.90和0.85。这种3D-FFs的新方法可作为一种有效的技术用于在线监测冷冻鱼的质量。
