Predicting the Glycemic Index of Biscuits Using Static In Vitro Digestion Protocols

Abstract

In vitro digestion methods that can accurately predict the estimated GI (eGI) values of complex carbohydrate foods, including biscuits, are worth exploring. In the current study, standard commercial biscuits with varied clinical GI values between 9~30 were digested using both the INFOGEST and single-enzyme digestion protocols. The digestion kinetic parameters were acquired through mathematical fitting by mathematical kinetics models. The results showed that compared with the INFOGEST protocol, the AUR180 deduced from digesting using either porcine pancreatin or α-amylase showed the best potential in predicting the eGI values. Accordingly, mathematical equations were established based on the relations between the AUR180 and the GI values. When digesting using porcine pancreatin, GI= 1.834 + 0.009 ×AUCR180 (R2= 0.952), and when digesting using only α-amylase, GI= 6.101 + 0.009 ×AUCR180 (R2=0.902). The AUR180 represents the area under the curve of the reducing-sugar content normalized to the total carbohydrates versus the digestion time in 180 min. The in vitro method presented enabled the rapid and accurate prediction of the eGI values of biscuits, and the validity of the formula was verified by another batch of biscuits with a known GI, and the error rate of most samples was less than 30%.

Effects of different processed tomatoes on carotenoid release and microbiota composition during in vitro gastrointestinal digestion and colonic fermentation

“…The validity was verified with another batch of biscuits with the known GI, and the margin of error was less than 30% for most samples. 22 In addition, an in vivo human feeding study found that adding lipids to salads increased the bioavailability of carotenoids, consistent with the results of in vitro digestion methods. 23,24 It was shown that the peptide profile generated by milk micellar casein after in vitro and in vivo digestion in the porcine upper intestinal tract showed clear similarities and the correlation coefficients of the peptidome reached 0.8.…”

Prediction of apparent total tract digestion of crude protein in adult dogs

“…For reasons related to their advantageous speed and cost, prediction models for in vivo digestibility using regression analysis are being widely investigated for economically important animals (cattle, poultry, pigs, and rabbits), companion animals, and humans [ 6 , 40 – 42 ]. Prediction models for in vivo digestibility using regression analysis have not only identified nutrients in foods, including carbohydrates [ 24 ], CP [ 43 ], and phosphorus [ 44 ], but have also verified the potential feasibility of prediction models using regression analysis for energy [ 23 ] and the postprandial glycemic index [ 45 ]. Nevertheless, there have been few studies on prediction models for in vivo digestibility using regression analysis in dogs.…”